Recurrence equations and their classical orthogonal

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2012 Finite difference methods for fractional differential equations(分数阶扩散方程)

2012 Finite difference methods for fractional differential equations(分数阶扩散方程)

C. Li & Fபைடு நூலகம் Zeng
However, the differences exist in that the fractional derivatives are globally defined compared with the classical one defined in a pointwise manner, which attributes to the difficulties in the construction of numerical methods and analysis (including consistency, convergence and stability) for the FDEs, especially for the nonlinear ones. At the same time, the computation cost and storage are much expensive, since the coefficient matrices derived from the fractional systems can be full. At present, there are several numerical methods to solve FDEs, such as the finite difference method (rigorously speaking, the fractional finite difference method, here we just use it for brevity), the finite element method and the spectral method which are relatively rare [Roop, 2006, 2008; Zheng et al., 2010a, 2010b; Lin & Xu, 2007; Li & Xu, 2009] in literature, while the work on the finite difference method for FDEs are very rich and continues to be developed. This is mainly due to the following reasons. The finite difference method is a powerful tool and widely used to solve the DEs as well as the FDEs in science and engineering, which is also easy to be understood. Meanwhile, the implementation of the finite difference scheme is simple and easy to be put into practice in computer programs. In this paper, we just review almost all the existing FDMs for the FDEs of different types. If some important references have been omitted, we do apologize for those omissions. In recent publications, FDMs for the FDEs almost concentrate on the kinetic equations of diffusion (subdiffusion and superdiffusion [Li & Zhao, 2011a]), diffusion– advection, and Fokker–planck type, etc. with partial fractional derivatives that are derived asymptotically from basic random walk models, the generalized master and Langevin equations. We will outline those numerical schemes for some typical FDEs and their main results (including consistency, stability and convergence). Simultaneously, the unresolved problems are also pointed out. To some extent, some of FDMs for FDEs can be seen as the generalizations of the corresponding methods for classical equations [Yuste, 2006; Meerschaert & Tadjeran, 2006]. The tools, say von Neumann stability analysis [Yuste & Acedo, 2005; Ghazizadeh et al., 2010], Fourier analysis method [Chen et al., 2007; Sousa, 2009] and energy method [Zhuang et al., 2008; Gao & Sun, 2011], which are used for the numerical analysis of the classical PDEs, can be extended to the cases for

混凝土HPC

混凝土HPC

Modelling of hygro-thermal behaviour of concreteat high temperature with thermo-chemical and mechanical material degradationD.Gawin a ,F.Pesavento b ,B.A.Schreflerb,*aDepartment of Building Physics and Building Materials,Technical University of L odz,Al.Politechniki 6,93-590L o dz,Poland bDepartment of Structural and Transportation Engineering,University of Padua,via Marzolo 9,35131Padua,ItalyReceived 19June 2002;received in revised form 22October 2002AbstractA mathematical model for analysis of hygro-thermal behaviour of concrete as a multi-phase porous material at high temperatures,accounting for material deterioration,is presented.Full development of the model equations,starting from the macroscopic balances of mass,energy and linear momentum of single constituents is presented.Constitutive relationships for concrete at high temperature,including those concerning material damage,are discussed.The classical isotropic non-local damage theory is modified to take into account the mechanical-and the thermo-chemical concrete damage at high temperature.The final form of the governing equations,their discretised FE form,and their numerical solution are presented.The results of two numerical examples,concerning fire performance of 1-D and 2-D HPC structures,are discussed.Ó2003Elsevier Science B.V.All rights reserved.Keywords:Concrete ;High temperature;Thermo-chemical damage;Mechanical damage;Numerical model;Hygro-thermo-mechanical behaviour1.IntroductionSince the second half of the 1990s there is a renewed interest in the modelling of concrete at high and very high temperature.Introduction of new high and ultra high performance concretes required their as-sessment as far as spalling is concerned.The BRITE EURAM Project ‘‘HITECO’’(HIgh TEmperature COncrete)[8],was aimed at this purpose and has yielded very interesting results [29].Further,increased recurrence of tunnel fires in Europe,often connected with losses of life,always with destruction of the concrete vaults and walls and causing heavy economical losses,have evidenced the dramatic need for an*Corresponding author.E-mail addresses:gawindar@ck-sg.p.lodz.pl (D.Gawin),pesa@caronte.dic.unipd.it (F.Pesavento),bas@caronte.dic.unipd.it (B.A.Schrefler).0045-7825/03/$-see front matter Ó2003Elsevier Science B.V.All rights reserved.doi:10.1016/S0045-7825(03)00200-7Comput.Methods Appl.Mech.Engrg.192(2003)1731–1771/locate/cma1732 D.Gawin et al./Comput.Methods Appl.Mech.Engrg.192(2003)1731–1771D.Gawin et al./Comput.Methods Appl.Mech.Engrg.192(2003)1731–177117331734 D.Gawin et al./Comput.Methods Appl.Mech.Engrg.192(2003)1731–1771D.Gawin et al./Comput.Methods Appl.Mech.Engrg.192(2003)1731–17711735 upgrading of existing tunnels and introduction of new standards.Again the need for a new modelling capacity for concretes under such extreme conditions(temperatures exceeding1200°C for considerable time spans)has been evidenced.The EU Project UPTUN(cost-effective sustainable and innovative upgrading methods forfire safety in existing tunnels),involving about40partners,is aimed at that purpose.Finally,the modelling of aging in concrete Nuclear Power Plant Structures requires also to take into account concrete under high(and cyclic) temperatures.This aspect is currently investigated within the EURATOM project MÆCENAS.It is commonly accepted[4–7,17–19]that all the above situations cannot satisfactorily be modelled by considering thermo-mechanical processes alone.Heat and mass transfer within the concrete body(and on its boundary)has to be taken into account,together with phase changes and dehydration.The model has hence to be a chemo-hygro-thermo-mechanical one.We have been(and are)involved in all three of the above mentioned research projects and have developed such a model.This model stems from early work of Gawin et al.[16],and Gawin and Schrefler[20]and has been further developed over the years[17].Initially its applicability was limited by critical temperature of water.This limit has now been overcome[19]. Mechanical damage alone was initially considered.A coupling of permeability with mechanical damage has been introduced in[18].When simulating a real experimentalfire situation in a motorway tunnel,it turned out that mechanical damage alone was not sufficient.Thermally induced deterioration due to strains at material meso-scale and due to concrete dehydration,called thermo-chemical damage(and a modification of stress–strain curve)is also needed.This is here introduced in a framework of the isotropic non-local damage theory.Since the theory underlying the overall model is scattered in several papers,a full devel-opment of the model equations and their FE discretization is also presented.A discussion of the choice of the state variables and ensuing constitutive relations follows.Finally,two examples showing the importance of material deterioration on hygro-thermal and mechanical performance of concrete structures at high temperature are shown and discussed.Recently several works devoted in particular to the thermal spalling phenomenon in concrete at elevated temperature has been published,e.g.[37,38,43,44].As pointed out in[43],there are two main reasons of the phenomenon:build-up of pore pressure and restrained thermal dilatation.The latter hypothesis was theo-retically justified in[43]to be the most important reason of thermal spalling and used for analysis of the ‘‘Chunnel’’fire[44].In the AuthorsÕopinion both of the above mentioned reasons of the phenomenon, acting together,are of importance for the thermal spalling occurrence,in particular for the explosive one,as shown by the experimental tests carried out by Phan et al.[38].At this point it is worth to discuss some limitations of the recently proposed,macroscopic phenome-nological theory by Ulm et al.[43].Effect of temperature on concrete strength is modelled there as chemo-plastic softening within the framework of chemo-plasticity,accounting explicitly for the dehydration of concrete and its cross-effects with deformation and temperature.In the model most material properties are practically unique functions of temperature only,even if formally they depend on hydrate mass and plastic softening parameter.Moisture transfer and evaporation within the heated concrete are not taken into account,hence effect of pore pressure cannot be considered.Effect of cracking on concrete behaviour is neglected.Most of these shortcomings are overcome by the theory presented in this paper.2.Macroscopic balance equationsThe balance equations are written by considering concrete as a multi-phase material.The solid skeleton voids arefilled partly by liquid water and partly by a gas phase.Below the critical temperature of water,T cr,the liquid phase consists of bound water,which is present in the whole range of moisture content,and capillary water,which appears when degree of water saturation exceeds the upper limit of the hygroscopic region,S ssp.Above the temperature T cr the liquid phase consistsof bound water only.In the whole temperature range the gas phase is a mixture of dry air and water vapour (condensable gas constituent for T <T cr ).The model equations are obtained by means of the hybrid mixture theory (HMT)originally proposed by Hassanizadeh and Gray [25–27]and then applied for geomaterials in general by Lewis and Schrefler [30]and Schrefler [42],and for building materials by Gawin [14].For the sake of brevity,only the final form of the macroscopic conservation equations is given here.The full development of the model equations,starting from the local,microscopic balance equations with successive volume averaging,are presented in [14,30,35,42].The general form of the macroscopic,volume averaged mass conservation equation of the p -phase is [30,42]:D pq pD tþq p div v p ¼q p e p ðq Þ;ð1Þwhere q p is apparent density (related to the whole volume of the medium),v p the velocity and q p e p ðq Þthe volumetric mass source,super or subscript p refers to the p -phase.This mass balance equation has the following form for the solid skeleton [14]:D sq sD tþq s div v s ¼À_mdehydr ;ð2Þwhere _mdehydr is mass source of liquid water (and corresponding skeleton mass sink)related to the cement dehydration process.After application of the relation between the phase averaged density,q p ,and the intrinsic phase averaged density,q p ,[25–27,30]:q p ¼g p q pð3Þwith g p being the volume fraction of the p -phase,and after some simple transformations,Eq.(2)can be rewritten asð1Àn Þq s D sq s D t ÀD sn D t þð1Àn Þdiv v s¼À_m dehydr q s:ð4ÞThe volume averaged mass conservation equation for liquid water (capillary and physically adsorbed)hasthe following form:D wq wD tþq w div v w ¼_mdehydr À_m vap ;ð5Þwhere _mvap is the vapour mass source caused by the liquid water evaporation or desorption (for low values of the relative humidity inside the material pores).It is worth to underline that for the liquid water we have two source terms.By introducing the water relative velocity and material derivative of water density,with respect to the skeleton,the latter equation can be written as follows:D sq wD tþv ws Ágrad q w þq w div ðv s þv ws Þ¼_mdehydr À_m vap ð6Þwhere v p s means the p -phase relative velocity with respect to the skeleton.1736 D.Gawin et al./Comput.Methods Appl.Mech.Engrg.192(2003)1731–1771After some algebraic transformations and application of (3)with g w ¼nS w ,we have D sn D t þn q w D sq w D t þn S w D sS w D t þ1S w q w div ðnS w q w v ws Þþn div v s¼_m dehydr À_m vap S w q w:ð7ÞIn order to eliminate the time derivative of porosity,D sn =D t ,from the latter equation,we sum it up with (4)and obtain the mass conservation equation of liquid water and solid skeleton as follows:ð1Àn Þq s D sq s D t þdiv v s þn q w D sq w D t þn S w D sS w D t þ1S w q w div ðnS wq w v wsÞ¼_m dehydr À_m vap S w q w À_m dehydr q s :ð8ÞThe macroscopic volume averaged mass conservation equation of dry air,[30,42]D gaq gaþq ga div v ga ¼0ð9Þafter changing the material time derivative D gaq ga =D t into D gq ga =D t and decomposition of the dry air velocity into the diffusional,u ga ¼v ga Àv g ,and advectional (i.e.related to the centre of gravity of the whole gas phase),v g ,components,[30,42],can be rewritten asD gq gaD t þdiv J ga d þq ga div v g¼0;ð10ÞwhereJ ga d ¼q ga u ga¼nS g q ga u ga ð11Þis the diffusive mass flux of dry air molecules in the gas phase.It is reminded that there is no source term related to the dry air.Eq.(10)is now transformed in a similar way as done for the liquid water balance,i.e.material time derivative and relative velocity with respect to the solid are introduced,relation (3)with g ga ¼n ð1ÀS w Þis applied and the resulting equation,divided by q ga ð1ÀS w Þ,is summed up with the solid skeleton mass balance (4).Finally,we obtain the following equation:n S g D sS g D t þn q ga D sq ga D t þ1S g q ga div J ga dþ1S g q ga div ðnS g q ga v gs Þþ1Àn q s D sq s D t þdiv v s¼À_m dehydr q s :ð12ÞThe macroscopic mass balance of the water vapour [14,30,42]D gwq gwD tþq gw div v gw ¼_mvap ;ð13Þcan be presented,similarly to the equation for the dry air,in the following form,D g q gwD tþdiv J gw d þq gw div v g¼_m vap ;ð14Þwhere the diffusive mass flux of vapour molecules in the gas is defined as [14,30,42]J gw d ¼q gw u gw¼nS g q gw u gw :ð15ÞOne should remember,that the gas phase is an ideal binary gas mixture of dry air and water vapour,hence [14,30,42]J gw d ¼ÀJ gad :ð16ÞD.Gawin et al./Comput.Methods Appl.Mech.Engrg.192(2003)1731–17711737By applying the same transformations as for the dry air mass balance and summing(14)with(4),we obtain the following equation:n S g DsS gD tþnq gwDsq gwD tþ1S g q gwdiv J gwdþ1S g q gwdivðnS g q gw v gsÞþ1Ànq sDsq sD tþdiv v s¼À_m dehydrq sþ_m vapS g q gw:ð17ÞWe do not have any constitutive relationship for the mass source term,_m vap,appearing in the latter equation and in(8),but we can use one of the two mass balance equations to eliminate this source term from the another one.The macroscopic,volume averaged enthalpy balance equation for the p-phase,after neglecting some terms related to viscous dissipation and mechanical work,caused by density variations due to temperature changes and caused by volume fraction changes,has the following general form[30,42]:q p C pp DpT pD t¼q p h pÀdiv~q pþq p R pHÀq p e pðqÞH p;ð18Þwhere C pp is the specific isobaric heat,~q p the heatflux,q p h p the volumetric heat sources,q p R pHthe termexpressing energy exchange with the other phases(including mechanical interaction and excluding enthalpy exchange due to mass sources),H p the specific enthalpy,of the p-phase.In concrete at high temperature all heat sources,except those related to phase changes and dehydration process,can be neglected.We assume here that all phases of the material are locally in thermodynamic equilibrium,hence their temperatures are the same,T p¼Tðp¼s;w;gÞ.These temperatures may however vary throughout the domain.Summing up the enthalpy balances for all the phases of the medium,taking into account the mass sources,specific for the particular constituents,and transforming all material time derivatives into those with respect to the solid skeleton,as well as having in mind that[30,42]:X p qpR pH¼0;ð19Þone obtains the following enthalpy balance equation for the whole medium:ðq C pÞeff DsTD tþðq w C wpv wsþq g C gpv gsÞÁgrad TÀdiv~q¼À_m vap D H vapÀ_m dehydr D H dehydr;ð20Þwhereðq C pÞeff ¼q s C spþq w C wpþq g C gp;~q¼~q sþ~q wþ~q g;D H vap¼H gwÀH w;D H dehydr¼H wÀH ws:ð21ÞAbove,H ws is the specific enthalpy of the chemically bound water,D H vap the specific enthalpy of evapo-ration and D H dehydr the specific enthalpy of dehydration.Hygro-thermal phenomena in concrete,even at high temperature,are relatively slow,hence inertial forces can be neglected.For such a case the macroscopic,volume averaged linear momentum balance equation for the p-phase has the following,general form[30,42]:div t pþq p gþq p½e pðq_rÞþ^t p ¼0;ð22Þ1738 D.Gawin et al./Comput.Methods Appl.Mech.Engrg.192(2003)1731–1771D.Gawin et al./Comput.Methods Appl.Mech.Engrg.192(2003)1731–17711739 where t p is the macroscopic stress tensor in the p-phase,g the acceleration of gravity,q p^t p the volumetric exchange term of linear momentum with other phases due to mechanical interaction,and q p e pðq_rÞthat due to phase changes or chemical reactions.These exchange terms are subject to the constraint Xq p½e pðq_rÞþ^t p ¼0:ð23ÞpAfter summing up the macroscopic linear momentum balances for all the phases and introducing the total stress tensorr¼t sþt wþt g;ð24Þtaking into account condition(23)and assuming continuity of stresses at thefluid–solid interfaces,one obtainsdiv rþq g¼0;ð25Þwhereq¼ð1ÀnÞq sþnS w q wþnð1ÀS wÞq gð26Þis the averaged apparent density of the medium.The volume averaged angular momentum balance equation shows[30,42],that for non-polar media,as moist concrete is assumed in this work,all macroscopic partial stress tensors are symmetric, t p¼ðt pÞT;ð27ÞFrom the macroscopic entropy inequalities for the medium constituents,limitations for the form of con-stitutive relationships can be deduced,ing the Colemann–Noll procedure,as done in[23].This as-sures that the constitutive relations do not violate the second law of thermodynamics.3.State variablesA proper choice of state variables for description of concrete at high temperature is of particular im-portance.From a practical point of view,the physical quantities used,should be possibly easy to measure during experiments,and from a theoretical point of view,they should uniquely describe the thermodynamic state of the medium[22].They should also assure a good numerical performance of the computer code based on the resulting mathematical model.The necessary number of the state variables may be signifi-cantly reduced if existence of local thermodynamic equilibrium at each point of the medium is assumed.In such a case physical state of different phases of water can be described by use of the same variable.When fast hygro-thermal phenomena in concrete at high temperature are analysed,the assumption is debatable, but it is almost always used in modelling.We also apply it in development of the present model.Having in mind all the aforementioned remarks,we will briefly discuss now the state variables chosen for the present e of temperature(the same for all constituents of the medium because of the as-sumption about the local thermodynamic equilibrium state)and solid skeleton displacement vector is rather obvious,thus it needs no further explanation.As a hygrometric state variable various physical quantities, which are thermodynamically equivalent,may be used,e.g.volumetric––or mass moisture content,vapour pressure,relative humidity,or capillary pressure.Analysing concrete at high temperature,one must re-member that at temperatures higher than the critical point of water(i.e.647.3K)there is no capillary(or free)water present in the pores of concrete,and there exists only the gas phase of water,i.e.vapour.Then, very different moisture contents may be encountered at the same moment in a heated concrete,ranging from full saturation with liquid water(e.g.in some nuclear vessels or in so called‘‘moisture clog’’zone in aheated concrete[12])up to almost completely dry material.For these reasons it is not possible to use,in a direct way,one single variable for the whole range of moisture contents.Instead,an appropriate StefanÕs problem could be formulated,with different state variables in zones separated by moving interfaces. However,such an approach is numerically very costly,e.g.[1,34,39],and usually avoided in practical applications,as already mentioned in[19].For description of concrete moisture state,Bazant et ed in their model[5,6]the relative humidity, but in zones fully saturated with liquid water,where pressures higher than the atmospheric one can occur,a different meaning must be given to this variable,permitting its value to be higher than one,what is physically inadmissible.Then,application of a shrinkage coefficient,relating strain changes with changes of the relative humidity,is consistent with the phenomenological approach,used in[5,6],but not with the mechanistic one,which is used in this paper.Apparently,the most natural choice for the state variable seems to be mass or volumetric moisture content,which are well defined for the whole range of temper-atures and pressures in concrete.However,this quantities are not continuous at interfaces between different materials,and are not well adapted for numerical simulations,both in fully saturated conditions and in a range of very low moisture contents.Moreover,there is not any direct,physically sound(from the mechanistic point of view)relation between moisture content and stresses.Another possible choice for the moisture state variable is vapour pressure,which,however,has no physical meaning in a medium fully saturated with water and then,it creates serious numerical problems for moisture contents close to these conditions,as shown by our extensive tests.The moisture state variable proposed by the authors in[19]is capillary pressure,which was shown to be a thermodynamic potential of the physically adsorbed water and,with an appropriate interpretation,can be also used for description of water at pressures higher than the atmospheric one[20].The capillary pressure has been shown to assure good numerical performance of the computer code[16–19],and is very convenient for analysis of stress state in concrete,because there is a clear relation between pressures and stresses [23,41].Application of capillary pressure as a state variable was avoided in some previous models,e.g.[4–7], because of theoretical problems related to its definition at the macro-scale.However,some recent works in Thermodynamics[22,23],resolved these theoretical problems.Hence,the chosen primary variables of the present model are the volume averaged values of:gas pressure,p g,capillary pressure,p c,temperature,T,and displacement vector of the solid matrix,u.For temperatures lower than the critical point of water,T<T cr,and for capillary saturation range, S>S sspðTÞ(S ssp means the upper limit of the hygroscopic moisture range,being at the same time the lower limit of the capillary one),the capillary pressure is defined asp c¼p gÀp w;ð28Þwhere p w denotes water pressure.This equation is,in reality,a constitutive relationship at thermodynamic equilibrium which can be obtained from an exploitation of the entropy inequality by means of the Cole-man–Noll method,see e.g.[22,23].For all other situations,and in particular T P T cr,when condition S<S ssp is always fulfilled(there is no capillary water in the pores),the capillary pressure only substitutes formally the water potential W c defined as:W c¼RTM wlnp gwf gws;ð29Þwhere M w is the molar mass of water,R the universal gas constant and f gws the fugacity of water vapour in thermodynamic equilibrium with saturatedfilm of physically adsorbed water[19].For physically adsorbed water at lower temperatures(S<S ssp and T<T cr)the fugacity f gws should be substituted in the definition of the potential W c(29),by the saturated vapour pressure p gws.Having in mind the Kelvin equation[24], valid for the equilibrium state of capillary water with water vapour above the curved interface(meniscus) 1740 D.Gawin et al./Comput.Methods Appl.Mech.Engrg.192(2003)1731–1771ln p gw p gws¼Àp cq wM wRT;ð30Þwe can note,that in the situations,where(29)is valid,the capillary pressure may be treated formally as the water potential multiplied by the density of the liquid water,q w,according to the relation[19] p c¼ÀW c q w;ð31ÞThanks to this similarity,it is possible to use during simulations‘‘formally’’the capillary pressure even in the low moisture content range,when the capillary water is not present in the pores.However,one should remember,that in such situations capillary pressure cannot be identified to a pressure in its normal physical meaning[19],see for example(49).4.Constitutive relationshipsAs constitutive relationships may be used:equations of state for constituents of the medium,material functions describing certain physical properties of the analysed material,as well as some physical relations betweenfluxes of extensive thermodynamic quantities and intensive thermodynamic quantities(called sometimes thermodynamic forces)which cause them.These physical relations can be obtained directly from the entropy inequality,e.g.[22,23],and they describe some well-known laws of physics,like FourierÕs law, DarcyÕs law or FickÕs law.In our model,dry air,water vapour and their mixture are assumed to behave as perfect gases,following DaltonÕs law and the Clapeyron equation of state:p g¼p gaþp gw;ð32Þq p¼p p M p=TR;ðp¼ga;gw;gÞ;ð33Þwhere1 M g ¼q gwq g1M wþq gaq g1M a:ð34ÞThe density of water vapour calculated by means of(33)differs significantly from the results of the lab-oratory tests for temperatures higher than approximately160°C,but as shown in[19],this difference has a small effect on the results of simulations concerning high temperature performance of concrete and(33) may be used for practical problems with a sufficient accuracy.The state equation of water should take into account the considerable,non-linear decrease of water density in the temperature range close to the critical point of water,what has an important influence on hygro-thermal phenomena in concrete at these temperatures[19].The following formula[13],gives a reasonable accordance with experimental results and assures a good numerical performance of the code [19]:q w¼ðb0þb1Tþb2T2þb3T3þb4T4þb5T5Þþðp w1Àp wrÞða0þa1Tþa2T2þa3T3þa4T4þa5T5Þ;ð35Þwhere p w1¼10MPa,p wr¼20MPa,a0¼4:89Â10À7,a1¼À1:65Â10À9,a2¼1:86Â10À12,a3¼2:43Â10À13,a4¼À1:60Â10À15,a5¼3:37Â10À18,b0¼1:02Â10À3,b1¼À7:74Â10À1,b2¼8:77Â10À3,b3¼À9:21Â10À5,b4¼3:35Â10À7and b5¼À4:40Â10À10.In the above formula water is assumed to be incompressible.At lower relative humidities,usually en-countered at higher temperatures,most of the liquid water consists of the physically adsorbed water,whichis exposed to strong interaction with the solid skeleton,resulting in an increase of the water density [11].At the same time one can expect a decrease of the density with an increase of the capillary pressure (decrease of the water pressure),what is the case in heated concrete.Having in mind these two opposite trends,as well as lack of sufficient experimental data,we have assumed here incompressibility of the liquid water inside the pores of concrete.For the solid skeleton,the following form of the state equation has been assumed:q s ¼q s ðT ;p s ;tr r 0;C dehydr Þ;ð36Þwhere p s means the solid skeleton pressure [30,42],given by (47),tr r 0the first invariant of effective stress tensor,defined by (48),and C dehydr is degree of cement dehydration at high temperature.The latter process starts at a temperature about 100°C and continues with variable intensity during increase of concrete temperature.The following relation for the rate of the first invariant of the effective stress tensor has been assumed [30,42]:D s ðtr r 0ÞD t ¼3e K T div v s 0@þ1e K s D s p sD t Àb s D sT D t 1A ;ð37Þwhere b s is thermal expansion coefficent of the solid,e KT and e K s the actual values of bulk moduli for the whole medium and the solid skeleton (grains),respectively,taking into account possible influence of both the dehydration and cracking process.The inner structure of concrete pores is very complex and it contains both very narrow gel pores and much greater macro-pores and cracks (especially at higher temperatures),resulting sometimes in not continuous capillary pores.Nevertheless,at the macro-scale level,the volume averaged advective flux (i.e.caused by pressure gradients)of liquid water may be still described by Darcy Õs law [11,40],in the following form [19,30,42]:nS p v p s ¼Àk r p klp ½grad p p Àq p g ð38Þwhere k is intrinsic permeability tensor,k r p and l p ðp ¼g ;w Þdenote relative permeability and dynamicviscosity of the gaseous phase and liquid water.The fluids Õviscosities change significantly with temperature increase,what should be taken into account during analysis of concrete at high temperature.The formulae describing these changes are given in [17].During heating of concrete,its intrinsic permeability k may increase by up to 4orders of magnitude when compared to its initial value at ambient temperature [7,12].The dehydration and cracking progress with increasing temperature (cracking may be caused also by the mechanical stress at macro-scale)and result in gradual increase of the permeability value.For description of these intrinsic permeability changes,different approaches may be followed [18].In this paper a mechanistic one has been adopted,assuming that intrinsic permeability does depend not only upon temperature and moisture content,as assumed in classical phenomenological approach,e.g.[5,6],but also upon gas pressure and mechanical damage parameter,d [17,19]:k ¼k 0Á10A T ðT ÀT 0ÞÁpg p g0 A pÁ10A d d ;ð39a Þwhere d is the mechanical damage parameter,A T ,A p and A d are material constants.The term related to mechanical damage describes the effect of concrete cracking [3],and the gas pressure term the effect of cracks Õopening,on increase of the permeability.The influence of particular terms in (39a)on performance of concrete at high temperature is discussed in [16,18].The latter relation can be alternatively expressed in terms of total damage parameter,D ,defined by Eq.(54),。

A survey on the stability of fractional differential equations

A survey on the stability of fractional differential equations

Eur.Phys.J.Special Topics193,27–47(2011) c EDP Sciences,Springer-Verlag2011DOI:10.1140/epjst/e2011-01379-1T HE E UROPEANP HYSICAL J OURNAL S PECIAL T OPICSReviewA survey on the stability of fractionaldifferential equationsDedicated to Prof.Y.S.Chen on the Occasion of his80th BirthdayC.P.Li1,a and F.R.Zhang1,2,b1Department of Mathematics,Shanghai University,Shanghai200444,PR China2School of Mathematics and Computational Sciences,China University of Petroleum (East China),Dongying257061,PR ChinaReceived01December2010/Received infinal form27January2011Published online4April2011Abstract.Recently,fractional calculus has attracted much attentionsince it plays an important role in manyfields of science and engineer-ing.Especially,the study on stability of fractional differential equationsappears to be very important.In this paper,a brief overview on therecent stability results of fractional differential equations and the ana-lytical methods used are provided.These equations include linear frac-tional differential equations,nonlinear fractional differential equations,fractional differential equations with time-delay.Some conclusions forstability are similar to that of classical integer-order differential equa-tions.However,not all of the stability conditions are parallel to thecorresponding classical integer-order differential equations because ofnon-locality and weak singularities of fractional calculus.Some resultsand remarks are also included.1IntroductionFractional calculus has been300years old history,the development of fractional calculus theory is mainly focused on the pure mathematicalfield.The earliest more or less systematic studies seem to have been made in the19th century by Liouville, Riemann,Leibniz,etc.[1,2].In the last two decades,fractional differential equations (FDEs)have been used to model various stable physical phenomena with anomalous decay,say that are not of exponential type[3].We can refer to[4]for the recent history of fractional calculus.As we all know,many mathematical models of real problems arising in variousfields of science and engineering are either linear systems or nonlinear systems.Nevertheless,most differential systems used to describe physical phenomena are integer-order systems.With the development of fractional calculus, it has been found that the behavior of many systems can be described by using the fractional differential systems[5–9].It is worth mentioning that many physical phenomena having memory and genetic characteristics can be described by using the fractional differential systems.In fact,real world processes generally or most likelya e-mail:lcp@b e-mail:zhangfengrongsong@28The European Physical Journal Special Topicsare fractional order systems[10,11].That is to say,a lot of physical systems showfractional dynamical behavior because of special materials and chemical properties.Recently,the theory of FDEs has been studied and some basic results areobtained including stability theory.The question of stability is of main interest inphysical and biological systems,such as the fractional Duffing oscillator[12,13],frac-tional predator-prey and rabies models[14],etc.It is known that the chaotic sequenceis non-periodic and pseudo-random.Similar to integer-order differential equations,the stability theory of FDEs is also widely applied to chaos and chaos synchroniza-tion[15–19]due to its potential applications in control processing and secure com-munication.However,a few stability results rely on a restrictive modeling of FDEs:the basic hypothesis deals with commensurability,i.e.the fractional derivative ordershave to be an integer multiple of minimal fractional order.Owing to this hypothesis,some stability results are available,based on Matignon’s theorem[20].On the otherhand,the case of incommensurate fractional order can be referred to[21,22].In this paper,we present and discuss some basic results on stability of FDEsincluding linear FDEs,nonlinear FDEs,FDEs with time-delay and the analyticalmethods used.The analysis on stability of FDEs is more complex than that of clas-sical differential equations,since fractional derivatives are nonlocal and have weaklysingular kernels.The earliest study on stability of FDEs started in[23],the authorstudied the case of linear FDEs with Caputo derivative and the same fractional orderα,where0<α≤1.The stability problem comes down to the eigenvalue prob-lem of system matrix.Corresponding to the stability result in[23],Qian et al.[22]recently studied the case of linear FDEs with Riemann-Liouville derivative and thesame fractional orderα,where0<α<1.Then,in[24–26]authors derived thesame conclusion as[23]for the case1<α<2.[21]studied the linear system withmulti-order Caputo derivative and derived a sufficient condition on Lyapunov globalasymptotical stability.In the last decades,many researchers have more interests inthe stability of linear systems and various methods have emerged in succession.Forexample,there are frequency domain methods[27–32],Linear Matrix Inequalities(LMI)methods[25,26,33,34]and conversion methods[10],[35–37].By contrast,the development of stability of nonlinear FDEs is a bit slow.Thestructural stability was studied in[38],where the system with Riemann-Liouvillederivative was considered by using Taylor polynomial.In[39]authors investigatedthe system of nonautonomous FDEs involving Caputo derivative and derived theresult on continuous dependence of solution on initial conditions.The stability inthe sense of Lyapunov has also been studied[40]by using Gronwall’s lemma andSchwartz inequality.We can also refer to[14],[41–47],where the linearization method was considered.But the rigorous theoretical derivation has not been founded.Some researchers weakened the criterion of stability,such as[48]where the L p-stability properties of nonlinear FDEs were investigated.In[49,50],the Mittag-Leffler stability and the fractional Lyapunov’s second method were proposed.At last Deng[51]derived a sufficient stability condition of nonlinear FDEs.In engineering,a kind of system is also very important,namely,the time-delaysystem.In[52–55]authors considered thefinite-time stability of FDEs with time-delay on the basis of real problems.They studied the autonomous and nonau-tonomous fractional differential systems.For the time-delay system stability,we canrefer to[21],[56–58].In[59],Petr´aˇs gave a survey on the methods for stability investigation of a certainclass of fractional differential systems with rational orders and Caputo derivative in aviewpoint of control.To complement the literature,we will review the stability resultsof FDEs with Riemann-Liouville derivative or Caputo derivative and the analyticalmethods.Furthermore,the stability of FDEs with time-delay will also be covered.Thepaper is outlined as follows.In Sec.2,wefirst recall some definitions and propositions.Perspectives on Fractional Dynamics and Control29In Sec.3,some stability conditions of linear FDEs are presented,meanwhile,we give two results.In Sec.4,some stability conditions of nonlinear FDEs are described. Sec.5deals with the stability of FDEs with time-delay.Conclusions and comments are included in Sec.6.2PreliminariesLet us denote by R the set of real numbers,R+the set of positive real numbers and by Z+the set of positive integer numbers,denote by C the set of complex numbers. We denote the real part of complex numberαby Re(α).Two kinds of fractional derivatives,i.e.,the Riemann-Liouville derivative and Caputo derivative,have been often used in fractional differential systems.We briefly introduce these two definitions of fractional derivatives which will be frequently used throughout this paper.Firstly,we introduce the definition of fractional integral[60]. Definition1.The fractional integral(or,the Riemann-Liouville integral)D−αt0,t with fractional orderα∈R+of function x(t)is defined below:D−αt0,t x(t)=1Γ(α)tt0(t−τ)α−1x(τ)dτ,where t=t0is the initial time,Γ(·)is the Euler’s gamma function.Definition2.The Riemann-Liouville derivative with orderαof function x(t)is defined below:RL Dαt0,t x(t)=1Γ(m−α)d mdt mtt0(t−τ)m−α−1x(τ)dτ=d mdt mD−(m−α)t0,t,where m−1≤α<m∈Z+.Definition3.The Caputo derivative with orderαof function x(t)is defined below:C Dαt0,t x(t)=1Γ(m−α)tt0(t−τ)m−α−1x(m)(τ)dτ=D−(m−α)t0,td mdt mx(t),where m−1<α<m∈Z+.There are also two functions that play an important role in the study on stability of FDEs.Definition4.The Mittag-Leffler function is defined byEα(z)=∞k=0z kΓ(kα+1),where Re(α)>0,z∈C.The two-parameter Mittag-Leffler function is defined byEα,β(z)=∞k=0z kΓ(kα+β),where Re(α)>0andβ∈C,z∈C.One can see Eα(z)=Eα,1(z)from the above equations.30The European Physical Journal Special TopicsDefinition 5([61]).The α-exponential function is defined as follows:e λz α=zα−1E α,α(λz α),where z ∈C \0,Re (α)>0,and λ∈C .E α,α(·)is the two-parameter Mittag-Leffler function.Proposition 1.If 0<α<2,βis an arbitrary complex number,then for an arbitrary integer p ≥1the following expansions hold:E α,β(z )=1αz (1−β)/αexp(z 1/α)−p k =11Γ(β−αk )1z k +O 1|z |p +1 ,with |z |→∞,|arg(z )|≤απ2,andE α,β(z )=−pk =11Γ(β−αk )1z k +O 1|z |p +1 ,with |z |→∞,|arg(z )|>απ2.Proof.These results were proved in [60].The following relations for the α-exponential function follow from Definition 5and Proposition 1:Proposition 2[61].If 0<α<2,z ∈C ,then the following asymptotic equivalents for e λz αas |z |reaches infinity are valid:•for |arg(λ)|≤απ2,e λz α∼λ(1−α)/ααexp(λ1/α)z ,•for |arg(λ)|>απ2,e λz α∼−λ−2Γ(−α)1z α+1.In this paper,we will consider the following general type of FDEs involving Caputo derivative or Riemann-Liouville derivativeD ¯αt 0,t x (t )=f (t,x ),(1)with suitable initial values x k =[x k 1,x k 2,...,x kn ]T ∈R n (k =0,1,...,m −1),where x (t )=[x 1(t ),x 2(t ),...,x n (t )]T ∈R n ,¯α=[α1,α2,...,αn ]T ,m −1<αi <m ∈Z +(i =1,2,...,n ),D ¯αt 0,t x (t )=[D α1t 0,t x 1(t ),...,D αn t 0,t x n (t )]T ,f :[t 0,∞)×R n →R n ,D αi t 0,t denotes either C D αi t 0,t or RL D αi t 0,t .In particular,if α1=α2=···=αn =α,then Eq.(1)can be written asD αt 0,t x (t )=f (t,x ).(2)We call Eq.(2)the same order fractional differential system,otherwise,call Eq.(1)multi-order fractional differential system.The following definitions are associated with the stability problem in the paper.Definition 6[49].The constant vector x eq is an equilibrium point of fractional dif-ferential system (1),if and only if f (t,x eq )=D ¯αt 0,t x (t )|x (t )=x eq for all t >t 0.Without loss of generality,let the equilibrium point be x eq =0,we introduce the following definition.Perspectives on Fractional Dynamics and Control31 Definition7.The zero solution of fractional differential system(1)is said to be stable if,for any initial values x k=[x k1,x k2,...,x kn]T∈R n(k=0,1,...,m−1), there exists >0such that any solution x(t)of(1)satisfies x(t) <εfor all t>t0. The zero solution is said to be asymptotically stable if,in addition to being stable, x(t) →0as t→+∞.Definition8.Let1≤p≤∞andΩ⊂[t0,∞),the same order system(2)with Riemann-Liouville derivative is L p(Ω)−stable if the solution x(t)=[x1(t),..., x n(t)]T defined by equationx(t)=x0Γ(α)(t−t0)α−1+1Γ(α)tt0(t−τ)α−1f(τ,x(τ))dτbelongs to L p(Ω).Where0<α<1,x0∈R n is the initial value,f∈C([t0,∞)×R n,R n+)is a continuous positive function.Definition9(Mittag-Leffler Stability)[49].Let B⊂R n be a domain containing the origin.The zero solution of the same order system(2)is said to be Mittag-Leffler stable ifx(t) ≤{m(x(t0))Eα(−λ(t−t0)α)}b,where t0is the initial time,α∈(0,1),λ>0,b>0,m(0)=0,m(x)≥0,and m(x)is locally Lipschitz on x∈B⊂R n with Lipschitz constant L.Definition10.A continuous functionα:[0,∞)→[0,∞)is said to belong to class-K if it is strictly increasing andα(0)=0.Definition11(Generalized Mittag-Leffler Stability).Let B⊂R n be a domain containing the origin.The zero solution of the same order system(2)is said to be generalized Mittag-Leffler stable ifx(t) ≤{m(x(t0))(t−t0)−γEα,1−γ(−λ(t−t0)α)}b,where t0is the initial time,α∈(0,1),−α<γ<1−α,λ≥0,b>0,m(0)=0,m(x)≥0,and m(x)is locally Lipschitz on x∈B⊂R n with Lipschitz constant L.We will also need the following definitions to analyze the case of FDEs with time-delay in Sec.5.First,we introduce the same order fractional differential system with multiple time delays represented by the following differential equation:⎧⎪⎨⎪⎩Dαt0,tx(t)=A0x(t)+mi=1A i x(t−τi)+B0u(t),0≤τ1<τ2<τ3<···<τi<···<τm=Δ(3)with the initial condition x(t0+t)=ψ(t)∈C[−Δ,0].Where0<α<1,Dαi t0,t denoteseither C Dαi t0,t or RL Dαi t0,t.x(t)∈R n is a state vector,u(t)∈R l is a control vector,A i(i=0,1,...,m),B0are constant system matrices of appropriate dimensions,and τi>0(i=1,2,...,m)are pure time delays.Definition12.The same order system(3)(u(t)≡0,∀t)satisfying initial condition x(t0+t)=ψ(t),−Δ≤t≤0,isfinite-time stable w.r.t.{t0,J,δ,ε,δ},δ<εif and only if:ψ c<δ,∀t∈J ,J =[− ,0]∈R32The European Physical Journal Special Topicsimplies:x (t ) <ε,∀t ∈J,where δis a positive real number and ε∈R +,δ<ε, ψ c =max −Δ≤t ≤0 ψ(t ) ,time interval J =[t 0,t 0+T ]⊂R ,quantity T may be either a positive real number or a symbol +∞.Definition 13.System given by (3)satisfying initial condition x (t 0+t )=ψ(t ),−Δ≤t ≤0,is finite-time stable w.r.t.{t 0,J,δ,ε,Δ,αu },δ<εif and only if:ψ c <δ,∀t ∈J ,J =[− ,0]∈Randu (t ) <αu ,∀t ∈Jimplies:x (t ) <ε,∀t ∈J,where δis a positive real number and ε∈R +,δ<ε,αu >0, ψ c =max −Δ≤t ≤0 ψ(t ) ,time interval J =[t 0,t 0+T ]⊂R ,quantity T may be either a positive real number or a symbol +∞.3Stability of linear fractional differential equationsIn this section,we consider the following linear system of FDEsD ¯αt 0,t x (t )=Ax (t ),(4)where x (t )=[x 1(t ),x 2(t ),...,x n (t )]T ∈R n ,matrix A ∈R n ×n ,¯α=[α1,α2,...,αn ]T ,D ¯αt 0,t x (t )=[D α1t 0,t x 1(t ),D α2t 0,t x 2(t ),...,D αn t 0,t x n (t )]T and D αi t 0,t is the Caputo derivativeor Riemann-Liouville derivative of order αi ,where 0<αi ≤2,for i =1,2,···,n .In particular,if α1=α2=···=αn =α,then fractional differential system (4)can be written as the following same order linear systemD αt 0,t x (t )=Ax (t ).(5)3.1The fundamental theoremsFor Eq.(5)and 0<α≤1,Matignon firstly gave a well-known stability result by an algebraic approach combined with the use of asymptotic results,where the necessary and sufficient conditions have been derived,the specific result is as follows [23].Theorem 1.The autonomous same order system (5)with Caputo derivative and initial value x 0=x (0),where 0<α≤1,is•asymptotically stable if and only if |arg(spec (A ))|>απ2.In this case the compo-nents of the state decay towards 0like t −α.•stable if and only if either it is asymptotically stable,or those critical eigenval-ues which satisfy |arg(spec (A ))|=απ2have geometric multiplicity one,spec (A )denotes the eigenvalues of matrix A .Perspectives on Fractional Dynamics and Control 33As we can see,in case α=1,the above stability result shows that roots of the equa-tion det(diag(λ,λ,...,λ)−A)=0lie outside the closed angular sector |arg(λ)|≤απ2,thus generalizing the well-known result for the integer case α=1.For the asymptot-ical stability in Theorem 1,the components of the state are anomalous decay,thus fractional systems have ‘memory’feature and its asymptotical stability is also called t −αstability.Exponential stability cannot be used to characterize the asymptotic stability of fractional differential systems.The case of zero eigenvalues of system matrix A is not included in Theorem 1,since the argument of zero in complex plane can be arbitrary.In view of this situation,Qian et al.recently studied the case of autonomous same order system (5)with Riemann-Liouville derivative by using the asymptotic expansions of Mittag-Leffler function,where 0<α<1.And they stated the zero eigenvalues case of Theorem 1,the corresponding conclusion is as follows [22].Theorem 2.The autonomous same order system (5)with Riemann-Liouville deriv-ative and initial value x 0=RL D α−1t 0,tx (t )|t =t 0,where 0<α<1and t 0=0,is •asymptotically stable if and only if all the non-zero eigenvalues of A satisfy |arg(spec (A ))|>απ2,or A has k -multiple zero eigenvalues corresponding to a Jordan block diag(J 1,J 2,...,J i ),where J l is a Jordan canonical form with order n l , i l =1n l =k ,and n l α<1,1≤l ≤i .•stable if and only if either it is asymptotically stable,or those critical eigenval-ues which satisfy |arg(spec (A ))|=απ2have the same algebraic and geometric multiplicities,or A has k -multiple zero eigenvalues corresponding to a Jordan block matrix diag(J 1,J 2,...,J i ),where J l is a Jordan canonical form with order n l , i l =1n l =k ,and n l α≤1,1≤l ≤i .The proof of Theorem 2is contained in [22].For the autonomous same order system(5)with Riemann-Liouville derivative and 0<α<1,if all the eigenvalues of system matrix A satisfy |arg(spec (A ))|>απ2,then the components of the state decay towards0like t −α−1which is different from the Caputo derivative case.And similar to the proof in [22],for the autonomous same order system (5)with Caputo derivative and 0<α≤1,if all the non-zero eigenvalues of A satisfy |arg(spec (A ))|≥απ2and the critical eigenvalues satisfying |arg(spec (A ))|=απ2have the same algebraic and geometric multiplicities,and the zero eigenvalue of A has the same algebraic and geometric multiplicities,then the zero solution of this system is stable from the representation of the solution.In addition,the zero solution of this system is never asymptotically stable as long as A has zero eigenvalue.The above two theorems dealt with the same order linear fractional differential system.For the multi-order linear fractional differential system (4),Deng et al.firstly studied the case that α,i s are rational numbers between 0and 1,for i =1,2,...,n ,where the following result [21,62]was introduced.Theorem 3.Suppose that α,i s are rational numbers between 0and 1,for i =1,2,...,n .Let M be the lowest common multiple (LCM)of the denominators u i of α,i s ,where αi =v i u i ,(u i ,v i )=1,u i ,v i ∈Z +,i =1,2,...,n ,and set γ=1M .Then the zero solution of system (4)with Caputo derivative and initial value x 0=x (0)is•asymptotically stable if and only if any zero solution of the polynomialdet(diag(λMα1,λMα2,...,λMαn )−A )satisfies |arg(λ)|>γπ/2,the components of the state variable (x 1(t ),x 2(t ),...,x n (t ))T ∈R n decay towards 0like t −α1,t −α2,...,t −αn ,respectively.34The European Physical Journal Special Topics•stable if and only if either it is asymptotically stable or those critical zero solutions λof the above polynomial satisfy |arg(λ)|=γπ/2have geometric multiplicity one.From Theorem 3,suppose α1=α2=···=αn =αare rational numbers between 0and 1,then the result of Theorem 3coincides with the one in Theorem 1.So,Theorem 3is an extension of Theorem 1in respect of rational orders.In [21],the authors used Laplace transform [63]and the final-value theorem to prove Theorem 3.Similarly,Odibat [64]also analyzed the stability of system (4)with 0<α=α1=α2=···=αn ≤1.In [64],the Mittag-Leffler functions and their integer-order derivatives which are analytic functions were used to obtain analytical solutions of the initial value problem (4),then the sufficient stability condition was derived by using the final-value theorem.This result [64]is consistent with the one in Theorem 1and Theorem 3.Matignon’s theorem is in fact the starting point of several results on the stability analysis.For example,Ralti et al.extended Theorem 1to the case 1<α<2[24].Remark 1.Similar to Theorem 2,if we assume that the conditions of Theorem 3hold except replacing C D ¯α0,t and the initial value x 0=x (0)by RL D ¯α0,t and the initial valuex 0=RL D ¯α0,t x (t )|t =0respectively,then the stability result which is an extension ofTheorem 2in respect of rational orders is still available.All the above conclusions are about the case of commensurate fractional order,in addition,some literatures such as [21,22]also involved the case of incommensurate fractional order.If α1,α2,...,αn are not rational numbers but real numbers between 0and 1in system (4),then we have the following result,which was introduced in [21,22]by using the final-value theorem of Laplace transform.Theorem 4.If all the roots of the characteristic equation det(diag(s α1,s α2,...,s αn )−A )=0have negative real parts,then the zero solution of system (4)is asymp-totically stable,where αi is real and lies in (0,1).From the above theorems and Proposition 2,we have the following result.Theorem 5.The autonomous same order system (5)with initial value x 0=x (0)and Riemann-Liouville derivative is asymptotically stable if and only if |arg(spec (A ))|>απ2,where n =2and 0<α≤1.Proof.From [65],this system has unique solution which can be expressed by a gen-eralization of the matrix α-exponential function as follows:x (t )=e At αC =t α−1∞k =0A kt αk Γ[(k +1)α]C.For A ,there exists an invertible matrix P from the algebra such that P −1AP =J,where J is the Jordan canonical form of the matrix A .Here are two cases to discuss:•for J = λ100λ2,x (t )=t α−1∞k =0P J k P −1t αk Γ[(k +1)α]C =P e λ1t α0e λ2t α P −1C.Perspectives on Fractional Dynamics and Control 35•for J =λ10λ,x (t )=t α−1∞k =0P J k P−1t αk Γ[(k +1)α]C =P e λt α∂∂λe λt α0e λt α P −1C.Thus,we have lim t →+∞ x (t ) =0if and only if |arg(spec (A ))|>απ2from Propo-sition 2,and the proof is complete.We can also extend Theorem 5to the case 1<α<2.Theorem 6.The autonomous same order system (5)with Riemann-Liouville deriv-ative and initial values x k =RL D α−k −10,t x (t )|t =0(k =0,1),is asymptotically stable if and only if |arg(spec (A ))|>απ2,where n =2and 1<α<2.Proof.Similar to the above proof,there exists an invertible matrix P such that P −1AP =J ,where J is the Jordan canonical form of matrix A .Let us denote y =P −1x and substitute into Eq.(5),the system can be described asRL D α0,t y (t )=Jy (t ),(6)with initial values RL D α−10,t y (t )|t =0=y 0=P −1x 0and RL D α−20,t y (t )|t =0=y 1=P −1x 1.Here are also two cases to discuss:•for J = λ100λ2,applying Laplace transform to Eq.(6),we have y i (t )=y 0i ·t α−1E α,α(λi t α)+y 1i ·t α−2E α,α−1(λi t α),where y 0i is the i -th component of y 0,y 1i is the i -th component of y 1,i =1,2.According to Proposition 1,y i (t )∼1αy 0i λ(1−α)/αi +y 1i λ(2−α)/αi exp λ1αi t ,with t →∞,|arg(λi )|≤απ2,andy i (t )∼−y 0i λ−2i Γ(−α)t −α−1−y 1i λ−2i Γ(−1−α)t −α−2,with t →∞and |arg(λi )|>απ2.•for J = λ10λ ,similarly,y 1(t )=y 01·t α−1E α,α(λt α)+y 11·t α−2E α,α−1(λt α)+y 02·t 2α−1E (1)α,α(λt α)+y 12·t 2α−2E (1)α,α−1(λt α),y 2(t )=y 02·t α−1E α,α(λt α)+y 12·t α−2E α,α−1(λt α).From Proposition 1,one getsy 02·t 2α−1E (1)α,α(λt α)+y 12·t 2α−2E (1)α,α−1(λt α)∼y 02+y 12α d dσ σ(1−α)/α+σ(2−α)/α exp σ1αt σ=λ,36The European Physical Journal Special Topicswith t→∞,|arg(λ)|≤απ2,andy02·t2α−1E(1)α,α(λtα)+y12·t2α−2E(1)α,α−1(λtα)∼2y02Γ(−α)λ−3t−α−1+2y12Γ(−1−α)λ−3t−α−2,with t→∞and|arg(λ)|>απ2.The proof is complete. Recently,the stability analysis of linear FDEs is much involved.Some new methods are presented,such as the popular Laplace transform methods(i.e.,the frequency domain methods)[27–32],the Linear Matrix Inequalities(LMI)methods[25,26,33, 34]and the conversion methods[10],[35–37].These summaries are as follows.3.2The frequency domain methods for stability analysis of linear FDEsThe stability analysis of linear FDEs is very important in the control area,where the frequency domain method is often used.It is known that the key point of the stability analysis for linear FDEs is to determine the location of the roots of charac-teristic equations in the complex plane.It seems difficult to calculate all the roots of the characteristic equations because of the equations with fractional power options. Therefore,the authors in[27]made the following variable substitution.In general, the characteristic equation of a linear fractional differential equation has the formni=1a i sαi=0,(7)where0<αi≤1,for i=1,2,...,n.Whenαi=u i vi is rational,where(u i,v i)=1,the above equation may be rewritten asni=1a i s i m=0,(8)where m is an integer and m=LCM{v1,v2,...,v n}.Translating this equation into the W-plane yields:ni=1a i W i=0,(9) where W=s1m.The steps for stability analysis are as follows[27,31]:1.For given a i,calculate the roots of Eq.(9)andfind the minimum absolute phaseof all roots|θW min|.2.The condition for stability is|θW min|>π2m,while the condition for oscillation is|θW min|=π2m,otherwise the system is unstable.3.Roots in the primary sheet of the W-plane which have corresponding roots in thes-plane can be obtained byfinding all roots which lie in the region|θW|<πm, then applying the inverse transformation s=W m.Evidently the time response of the system can be easily related to these roots.Recently,Trigeassou et al.[32]has presented a new frequency domain method based on Nyquist’s criterion to test the stability of FDEs.The stability of FDEs with one, two derivatives was investigated,some analytic results for systems with N fractional derivatives were given.The detailed analysis can be referred to[32].Thefirst fre-quency domain method is simple,but it is hard to calculate the roots of Eq.(9). The second frequency domain method is based on Nyquist’s criterion(a graphical approach),so the latter is more intuitive.3.3LMI conditions for stability analysis of linear FDEsIn what follows,we will survey the Linear Matrix Inequalities(LMI)conditions on stability of linear FDEs.LMI has played an important role in control theory since the1960s due to its particular form.The main issue when dealing with LMI is the convexity of the optimization set,however,the stability domain of the same order system described by Eq.(5)with order1≤α<2is a convex set,various LMI methods for defining such a region have already been developed[25,26,33,34].Hence a LMI-based theorem for the stability of fractional differential system(5)with order 1≤α<2can be introduced as follows[25,26,34]:Theorem7.A fractional differential system described by Eq.(5)with order1≤α< 2is asymptotically stable if and only if there exists a matrix P=P T>0,P∈R n×n,such that(A T P+P A)sin(απ2)(A T P−P A)cos(απ2)(P A−A T P)cos(απ2)(A T P+P A)sin(απ2)<0.Unfortunately,the stability domain is not convex when0<α<1.The LMI condi-tions can thus not be directly derived.Here there are three different ideas how one can apply these methods to obtain LMI conditions for the stability of linear FDEs. The following three theorems have also been proven in[25,26,34].Theorem8.A fractional differential system described by Eq.(5)with order0<α< 1is asymptotically stable if there exists a matrix P>0,P∈R n×n,such thatA1α TP+PA1α<0.The derivation of above Theorem8(see also[33])is based on an algebraic transfor-mation of the system(5)combined with Lyapunov’s second method.This method has conservatism(explanation can be seen in[26]),so it is a sufficient condition.In order to avoid the conservatism,a new stability theorem based on a geometric analysis of the stability domain was proposed as follows.Theorem9.A fractional differential system described by Eq.(5)with order0<α< 1is asymptotically stable if and only if there exists a positive definite matrix P∈S, where S denotes the set of symmetric matrices,such that−(−A)12−α TP+P−(−A)12−α<0.However,LMI of Theorem9is not linear in relation to matrix A,thus limiting its use in the more specific control problems.In order to overcome this problem,a third condition is proposed.It based on the fact that instability domain is a convex subset of the complex plane when0<α<1.Theorem10.A fractional differential system described by Eq.(5)with order0<α<1is asymptotically stable if and only if there does not exist any nonnegative rank one matrix Q∈C n×n such that(AQ+QA T)sin(απ2)(AQ−QA T)cos(απ2)(AQ−QA T)cos(απ2)(AQ+QA T)sin(απ2)≥0.The following statement is based on stability domain decomposition[34].。

recurrent_neural_network_regularization

recurrent_neural_network_regularization

2
R ELATED

WORK
Dropout Srivastava (2013) is a recently introduced regularization method that has been very successful with feed-forward neural networks. While much work has extended dropout in various ways Wang & Manning (2013); Wan et al. (2013), there has been relatively little research in applying it to RNNs. The only paper on this topic is by Bayer et al. (2013), who focuses on “marginalized dropout” Wang & Manning (2013), a noiseless deterministic approximation to standard dropout. Bayer et al. (2013) claim that conventional dropout does not work well with RNNs because the recurrence amplifies noise, which in turn hurts learning. In this work, we show that this problem can be fixed by applying dropout to a certain subset of the RNNs’ connections. As a result, RNNs can now also benefit from dropout. Independently of our work, Pham et al. (2013) developed the very same RNN regularization method and applied it to handwriting recognition. We rediscovered this method and demonstrated strong empirical results over a wide range of problems. Other work that applied dropout to LSTMs is Pachitariu & Sahani (2013).

英国A-level数学教材内容汇总

英国A-level数学教材内容汇总

A-Leve l数学(Mathe matl cs)由四亍郃分姐成.换业数学・C ore Mathe matlcs h 力学数学t M ech an les Mathemati csx 轨计數H (Stali^tl cs Mathematitsy 决第數学Decision M ath&mati c& □选择学耳数学(Mathematics)^生,際了孩心数学心时Mathemahcs:^必修的基础数学之尔学生还需^据自己将来的犬学报读若业选择茸中T磯学『力Mechanics Mathematics},统计数学:Statistics f.fathemstics}.决董数学Decision Mathematics]・50将采读工程删]字主.可追力学数学谢xhanlcs);读社会科学觀金融经桥类的.可选:比计數字(Slatistlcs):僂计算机嗽件类的.町选: 决策数韋Decision Maltieinalics^Core Mathematicsl (AS/A2) ------ 核心数学11. Algebra and fun ctio ns --- 代数和函数2. Quadratic functions ----- 二次函数3. Equati ons and in equalities --- 等式和不等式4. Sketchi ng curves ----- 画图(草图)5. Coordinate geometry in the (x, y) plane--------- 平面坐标系中的坐标几何6. Seque nces and series——数歹U7. Differe ntiation ------ 微分8. In tegrati on --- 积分Core Mathematics2 (AS/A2) ----- 核心数学21. Algebra and fun ctio ns --- 代数和函数2. The sine and cos ine rule ---- 正弦和余弦定理3. Expo nen tials and logarithm ----- 指数和对数4. Coordinate geometry in the (x, y) plane--------- 平面坐标系中的坐标几何5. The bi no mial expa nsion --- 二项展开式6. Radia n measure and its applicati on --- 弧度制及其应用7. Geometric seque nces and series ---- 等比数歹U8. Graphs of trig ono metric functions ----- 三角函数的图形9. Differe ntiation ------ 微分10. Trigonometric identities and simple equations ------ 三角恒等式和简单的三角等式11. I ntegration ---- 积分Core Mathematics3 (AS/A2) ----- 核心数学31. Algebra fractio ns ------ 分式代数2. Functions ------ 函数3. The expo nen tial and log fun ctio ns --- 指数函数和对数函数4. Numerical method ----- 数值法5. Tran sform ing graph of functions ---- 函数的图形变换6. Trigon ometry ------- 三角7. Further trig ono metric and their applicati ons ---- 高级三角恒等式及其应用8. Differe ntiation ------ 微分Core Mathematics4 (AS/A2) ----- 核心数学41. Partial fractio ns ---- 部分分式2. Coordinate geometry in the (x, y) plane--------- 平面坐标系中的坐标几何3. The bi no mial expa nsion --- 二项展开式4. Differe ntiation ------ 微分5. Vectors ----- 向量6. In tegrati on --- 积分A-Level :核心数学 Core Maths ,力学数学,统计数学,决策数学 1 2 3 4 5 6 7oio14 14 1520 24 252b3S丽48b4Core Mathematics1 (AS/A2 ) ----- 核心数学 1 8. In tegrati on ------ 积分 每章内容:SketclSketching < \4.1 4.2 4.3 4.44.5Quadratic functions 2A2.2 2.3 2.4 2.5 2.6 1 Algebra and futictlons1.1 1.2 L3 1用 IS L6 L7 L8 Summary of key poinisPlotting the s^phs of Solvingquadratic eqi 】“ 沪 巧 Completingthe: Solving quddratiuSolving quadrate t ions by “Sketching Z> JSummary of kfy 尸為Equations 匚 M Solving sinSolving simultaneob.Using substISolving linGi 『 in 何亦It 華& Solving quadratic^^^ii^sj.jtions by elimination 屈tion* by substitutinn f equation Is linear and the other is quadraticSimplifying an expression by collecting like termsThe laws Qf indicesExpanding an expression Factorhing an expressionFactorising a quadr^k expressionThv las\s of indices for dll rational exponents The use and nianipulation of it rdsRationalising the iknonnridtor of a fraction ivhen 才二dw: XCxsE by ractor i sa ti映>;肯『 c equtijLArby comgTfctjng th 」square .' 'J u iht^m uh Quadratic formulae ; ^ncc^is liiKar rq 3.13.2 33 3J 3.5Suiiunary of 匕叮心疋试he 护ph$ of cubic functions Interpr^lW^yaphs nf cubk fuiKtioiuSketch inutile reciprocal function JK ■ttivinicr sect ion points of o[ functions to solv< equations of the triinsfbr mat ions f(x + ⑷ dnd 冃工-川 舉effect of the transforiiiations fiux) and'Fftrfotming transformations on the sketches of curves詁ry of key pointsAlgebra and fun ctio ns ----- 代数和函数 Quadratic functions ----- 二次函数Equati ons and in equalities --- 等式和不等式 Sketchi ng curves --- 画图(草图)Coordinate geometry in the (x , y ) plane -------- 平面坐标系中的坐标几何 Seque nces and series ——数列Differe ntiation ------ 微分5 Coordinate geonwtry in the (x9 y) plane 6S5.1 The equation of a straight line in the form y = nix + c or ax + 如 + c = 0 655.2 The gradient of a straight line 605.3 The equation of a straight line of the form y - y严ifi(x - 心) 7&5.4 The formula for finding the equation of a straight line5.5 The conditions for two straight lines to be parallel or perpendicular ' 75Summary of key points6 Sequences and series6.1 Introduction to sequences6.2 The nth term of a sequence 0 836.3 Sequences generated by a recurrence relationship i \ // ()856.4 Arithmetic sequences 二886.5 Arithmetic series \C/^ \ °°6.6 The sum to n of an arithmetic series 936.7 Using X notation 」97Summary of key points ' 〃丿) 101 7 Differentiation (//. 1027」The derivative of f(x) as the thiCpn^kto tft^ graph y = f(x) 102105109113114115116117121122122124125126128130Core Mathematics2 (AS/A2 ) 核心数学 21. Algebra and fun ctio ns ---- 代数和函数2. The sine and cos ine rule ---- 正弦和余弦定理3. Expo nen tials and logarithm ---- 指数和对数4. Coordinate geometry in the (x , y ) plane -------- 平面坐标系中的坐标几何5. The bi no mial expa nsion --- 二项展开式6. Radia n measure and its applicati on --- 弧度制及其应用7. Geometric seque nces and series --- 等比数歹 U8. Graphs of trig ono metric functions ---- 三角函数的图形9. Differe ntiation ------ 微分 10. Trigonometric identities and simple equations ------ 三角恒等式和简单的三角等式 11. I ntegration ---- 积分 每章内容: Aigcbrj dEid luiKtions 1J1.2 13 1.4 Simplifying algebraic fractions by division Dividing apolynomial by (x i p)Factorising a polynomial using the Factor TheoremUsing the Remainder Theorem Summary of k (?y pointsThe sint : and cosine ruleUsing the sine rule to find missing sides Using the sine nde find unF^wn angles The rule andfinding two w* Using the cosine ruEc ia Fin# Using the cosine rule tc a Using the sine tl «Calculaikng the area 2A 2.2 23 2.4 2.5 2.6 2.7 f or a nih^F Eo切 Mck ssing an^ic^ L . ■ #4RI le 3 nr< !'『 庶耳竝遁 Theo re mot^Jy^ngle us)闵jExponctuiah an<r^ogaMh * 3J王2 玉33.43.5 3.6Summary of key pointsCk Coordinate in the (x, y\ plant4.1 The 4.2 The ciiibi Suniinjjy of key polrt 115 10 131718 18 21 23 24 27 30 32 36 37 37 39 4() 41 43 45 4ti 49 49 57 60 68 70 70 72 73 75 79tnsTh<bfunctk 严 Writing ns as a Calculating *丄耳 to Laws of JogarithmS Solvi ng equations 汐 a' - b Changing the mt ni ot A line M 峥曲亡two points on a line 4*3 The equatitJiiif a circle Summiiry of fr r/ points iriomTal expansion s triangle X Combinntions and factorialUsing (:) m the binomial expansion5-4 Expanding (d + bxY r using the binomial expansion Summary of key point*11o Kaaian measure ana its applications Using radians to measure angles The length ofthe arc of a circle The area of a sector of a circle The area of a segment of a circle Geometric sequences Geometric progressions and the nth term Usinggeometric sequences to solve problems The sum of a geometric seriesThe sum to infinity of a geometric series Graphs of trigonometric functionsSine, cosine andtangent(unctionsThe values of trigonomef/ functions in the Exact values and surds f Graphs of sine 0f cos J J 、 Simple transformants oDifferentiation9.1 Increasing s ・9.2 Stationarymaximun 、, minipjum and points of inflexion 9.3Using f^rninjf points to Summar 1 “ 亠 inisTrigonom^/ Jidentitie】0.161 6.2 6.3 6.4Summary of key pointsGeometric sequences and series 7.1 7.2 7.3 7.4 7.5Summary of key points8.1 8.2 8.3 8.4 &5Summary of key poE ;' le equations titles ometrical equations e formsin(nd + a), cos(n0 + a) and tan(n0 + a) = k ig?nometrical equationsSimple trigoSolving simj SolvingeqySolving qudIntegratio11.1 11.2 11.3 Are n.4 94 94 9598 100 103 109 110 110 114 117 118 121 127 141 141 146 149 151 156157 157 159 161 164 169 17710129 129 131135 1406 93 ms10.210.310.4Summary ote integrationa curvea curve that gives negative values n a straight line and a curve rapezium Rule of key points11Core Mathematics3 (AS/A2 ) 核心数学 31 2 3 4 5 6 7 8101Ki.S1 12每章内容:7.5 i'hc racloi tbrinuiai'Alxvbrdit Iriiciions1.1 1.2 1.3I'rigonomctry64 6.2AjipJying a corn^ixiatj Sketching trar^8 Differentiation8.1 B.2 8.3 K 4 8.58.68.71281301311322 E r unctioi-i^2,1 2.2 2-3 2.4 2.5Differentiating ti&ing the chain rule Differ ent tatlng using the product rult Differs nt latL ng using the quotient rukr I if fere nt iat j ng the exponential function Finding the differential of the logarithmic function. _Differentiating 5in x(C~Di fferenti ati ng cos xDifferent is tin^ t^n xDifferenliatkng further trigonometrLcaJ functions[differentiating functians formed by combining frigon 九丁贰#乎卜 cxprtncniiaL logfkritl-imLc and polynomial fLinctior^ ;Simplify algebraic fractions by LUI 1{.C IL UI ^ 口 Multiply dix jdici^frjLiujii->Adding and subtracting algvbrd k frautionsI nx alxvbriiit fr*ittic.jri^ jind tiir rcn )i»iii<lvr Ltit.-c.i^int <ln y 4-cn U>iTi 耳$ [JCX JJ€»TLOkl t k J I fLIIlC'Floriiir^^of <> gr^jj^/ica11 y 「_ ___2 =」cth^Js^lcrlind approximate root 萤 of 陶仟彳Tran 露Fermi 订呂 graf^/of fui^ctiini^5-1 Sketch! tig graphs ot 1^hhockx!^^ 4^u net ion y 一 lf(x)l 5u2 Sketching g^r^phs y = f(lxl) (A p olvin^a mcxluliis mictions to sketch erv«?« 什fih 订花JJ CFIM H 11 台 Mlielling lhe co-ordinates ofgiven H, cosecant 仇 and cotaingEfU 丹 f ^tant 也 cosecant 优 and cotangent 甘 xpressicmsj proving iclentiti^ iind solving equations, usingMapping diingrarns and 耳of opaeiiitions ( JFunc-tions <irid functioii notatk>tiRange, mapping diagrams,, graphs and definitionsJUsing composite functions #*f 丿Finding and using inverse-The exponential and log f u net ion s°3/1 Introdticing exponent ial ・ rtions of lhe I'omCj^ . h 心 3・立 Graphs of exponential旷卞:」^ 前m 扌匸卩 存占;逆"二tlxfn 琴, 严U^irig 护 ^Eidinwu b©■—主亠二亠亠」一■■Numerical method? ” 4.1 Finding approx if 4.2 U^ing ilerati algebraic iiicthi l ^irs'lw^nnd approximate rt>ots The fijnr/Q?6?/I TieSimplifying £ sec 他 cowO?R and cot Hidcnlitles l 十 lan 2^ = $2H and 1 + cot-^ = cosec 2IJs.iriglmerse trigcinometricai Uinclions and their graphs7 ..Further tngimonietrk identities and theif applies HonsSt/LMrig addition trigoiionietrical lormulac二Using double an^lc trigoiiDmctrical farmulae7?T Solving equdtiom and proving Idcntltiics using doubk iirigle foniiuLie ^^7 4 Usin^ the fonii a cos b sin B lin striving trigonotnetrical piobiennAlgebra fractions ------ 分式代数 Functions ----- 函数Transforming graph of functions -------函数的图形变换 Trigonometry ----- 三角Further trigonometric and their applications ------ 高级三角恒等式及其应用 Differentiation ------ 微分The exponential and log functions Numerical method ------ 数值法指数函数和对数函数Core Mathematics3 (AS/A2 ) 核心数学4Core Mathematics3 (AS/A2 ) 核心数学 51 2 3 4 556 vector37074 11B4 2110ft6J1111126139 SI6264 fi2 «2 AIXJUL L l||\ ULHJK2A3.2 33 Exam style paperFormulae you need to know List of symbols and notation AnswersIndexof two vectors n of a straightAdding and subtracting algehraic fractionsPartial fractions with two linear factors in the denominatorPartial fractions with ttnee or mor^ linear factors in th<? denominator Partial tract ions with repeated linear factors in the denominator Improper fractions into partial fractions1 Partial fractions L:y 1 ■jitrgrating £t^ndard Junctions Integrating using the reverse chain rule Using trigonometric identities in integrationUsing partial fractions to Integrate expressionsUsing standard patterns to integrdle expre^iorr liitvgraUon by subtjtiti.ition Integration by parts Numericalintegration Integration to find ateas and volumes 1Using integration to solvedifferential equations Difkrtntiai rquatjom in context2 Cootdinate geometry in the (x, y) 2」Parametric equations used toParametric equations used to dtiine the uxirdin^tes ot a Using paranictrkequ 訓 UKndinate 驴oimtr* Converting paramet^. jitions into cartesian 世qiut 档才 Finding the itrea ^iidche airve given by pannr 严旷 ^quations3 Fhe binomial ex3,i UMII^ VtXUMl IU UtSUilW J-^JJJLS I ;In 2 or 3 dimensions 二,二二 55Cartesian toniponeidi Gf a \yytor in 2dimensionsCartesian components ol in 3 dimensio%7^; Extending 2 /悸幺?冲results io ]he seal;| The vect*[nUT^clrnjfetraighi line vector 戸理逖石kFx linesJo between two straight Using partial fracti>#w$ Kjtw tiiv ■binamiai expanjy^f \、 Different la Uon4.1 Differentki(I nti ;ons givenpararnetricaifrf/4 2 Diffenyitiating^uationwhich arc implicitO43 Diffett»y^a!ing the function a 1 4.4{垃 tSftitiibn and rates of change4.5 唏蛙少他rtrntjai equations 5 VecS^ ?<^54,Ve?tor d^fmitipns 4nd vector ^^iiAgrams r 、§,2 Vector arithmetic and the unit vectorThe binomial expulsion a - positive integral index Using the binomidexpand + l^x)"\ j ' 6. In tegrati on ------ 积分 每章内容:The bi no mial expa nsion --- 二项展开式 Differe ntiation ------微分 Vectors ----- 向量Partial fractio ns ---- 部分分式 Coordin ate geometry in the ( x , y ) pla ne 平面坐标系中的坐标几何。

形式化方法

形式化方法

关系表示法关系表示法-规则表达式
基本规则: 原子:字母表中的基本符号 基本规则 原子 字母表中的基本符号 递归规则: 递归规则 错列:如果 如果R1,R2是规则表达式 错列 如果 是规则表达式 那么(R1|R2)也是规则表达式 那么 也是规则表达式 字符串集合的并集 合成:如果 是规则表达式, 合成 如果R1,R2是规则表达式 如果 是规则表达式 那么(R1R2)也是规则表达式 那么 也是规则表达式 R2中的串接到 中的串上 中的串接到R1中的串上 中的串接到 形成新串
常见的形式化规格说明方法
1、关系表示法 (relational notations) 、 (1) 固有方程 (implicit equations) (2) 递归关系 (recurrence relation) (3) 代数公理 (algebraic axioms) (4) 规则表达式 2、基于模型的表示方法 、 (1)有限状态机 有限状态机 (2)Petri网 网 (3)Z方法等 方法等
闭包:如果 是规则表达式 那么(R1)*也是规则表 闭包 如果R1是规则表达式 那么 如果 是规则表达式,那么 也是规则表 达式,表示把空串或R1中元素的多个串联 中元素的多个串联。 达式,表示把空串或 中元素的多个串联。 (R1)+ 表 示把R1中元素 中元素1个或多个串联 示把 中元素 个或多个串联
规则表达式有多种解释: 规则表达式有多种解释: 可能表示的意义: 如: (a(b|c))+ 可能表示的意义 数据流: a,b,c 为输入数据 数据流 消息传递: 消息传递 a,b,c 为不同的消息类型 操作序列: 操作序列 a,b,c代表过程 代表过程 资源流: a,b,c表示系统的一个组成部分 资源流 表示系统的一个组成部分

Glueballs and Their Kaluza-Klein Cousins

Glueballs and Their Kaluza-Klein Cousins

a r X i v :h e p -t h /9806171v 1 19 J u n 1998UCB-PTH-98/35,LBNL-41948,NSF-ITP-98-070hep-th/9806171Glueballs and Their Kaluza-Klein CousinsHirosi Ooguri,Harlan Robins and Jonathan Tannenhauser Department of Physics,University of California at Berkeley,Berkeley,CA 94720Theoretical Physics Group,Mail Stop 50A-5101,Lawrence Berkeley National Laboratory,Berkeley,CA 94720Institute for Theoretical Physics,University of California,Santa Barbara,CA 93106Abstract Spectra of glueball masses in non-supersymmetric Yang-Mills theory in three and four dimensions have recently been computed using the conjectured duality between superstring theory and large N gauge theory.The Kaluza-Klein states of supergravity do not correspond to any states in the Yang-Mills theory and therefore should decouple in the continuum limit.On the otherhand,in the supergravity limit g 2Y M N →∞,we find that the masses of theKaluza-Klein states are comparable to those of the glueballs.We also showthat the leading (g 2Y M N )−1corrections do not make these states heavier than the glueballs.Therefore,the decoupling of the Kaluza-Klein states is not evident to this order.1IntroductionSpectra of glueball masses in non-supersymmetric Yang-Mills theory in three and four dimensions have recently been calculated[1]using the conjectured duality between string theory and large N gauge theory[2–5].The results are apparently in good numerical agreement with available lattice gauge theory data,although a direct comparison may be somewhat subtle,since the supergravity computation is expected to be valid for large ultraviolet couplingλ=g2Y M N,whereas we expect that QCD in the continuum limit is realized forλ→0[5,6].As explained in[6,1],the supergravity computation atλ≫1 gives the glueball masses in units of thefixed ultraviolet cutoffΛUV.Forfiniteλ,the glueball mass M is expected to be a function of the formM2=F(λ)Λ2UV.(1.1)In the continuum limitΛUV→∞,M should remainfinite and of orderΛQCD.This would require F(λ)→0asλ→0.In[1],the leading string theory corrections to the masses were computed and shown to be negative and of orderλ−3/2,in accordance with expectation.Witten has proposed[5]that three-dimensional pure QCD is dual to type IIB string theory on the product of an AdS5black hole and S5.This proposal requires that certain states in string theory decouple in the continuum limitλ→0.One class of such states are Kaluza-Klein excitations on S5.The supergravityfields on the AdS5black hole×S5 can be classified by decomposing them into spherical harmonics(the Kaluza-Klein modes) on S5[7,8].They fall into irreducible representations of the isometry group SO(6)of S5, which is the R-symmetry of the four-dimensional N=4supersymmetric gauge theory from which QCD3is obtained by compactification on a circle.Consequently,only SO(6) singlet states should correspond to physical states in QCD3in the continuum limit.These are the glueball states studied in[1].However,wefind that,in the supergravity limit, masses of the SO(6)non-singlet states are of the same order as the SO(6)singlet states. Since these states should decouple in the limitλ→0,it was speculated in[1]that the string theory corrections should make the non-singlet states heavier than the singlet states.The purpose of this paper is to test this idea.We compute the masses of the SO(6)non-singlet states coming from the Kaluza-Klein excitations of the dilaton in ten dimensions. Wefind the masses in the supergravity limit to be of the same order as those of the SO(6) singlet states.We then calculate the leading string theory corrections to the masses.We find that the leading corrections do not make the Kaluza-Klein states heavier than theglueballs.Therefore,the decoupling of the Kaluza-Klein states is not evident to this order.This suggests that the quantitative agreement between the glueball masses from supergravity and the lattice gauge theory data should be taken with a grain of salt.2The Supergravity LimitWe calculate the masses of the Kaluza-Klein states following the analysis of[1].Ac-cording to[5],QCD3is dual to type IIB superstring theory on the AdS5black hole×S5 geometry given bydx24πg2Y M N =dρ2ρ2 +ρ2−b4dρ (ρ4−1)ρd f0this shooting method can be used to compute k 20and the wavefunction f 0(ρ)to arbitrarilyhigh precision.The results of the numerical work are listed in Table 1.As expected,the masses are all of the order of the ultraviolet cutoffΛUV =b .l135711.5929.2654.9388.6034.5363.60100.6145.668.98109.5157.9214.3l 2sρ2−b 4ρ2 dτ2+ρ23 i =1dx 2i +d Ω25,(3.1)where δ1=+15γ 5b 4ρ8−19b 12ρ4+5b 8ρ12 ,(3.2)and γ=18γ b 42ρ8+b 1216πG 10 d 10x √2g µν∂µΦ∂νΦ+γe −3periodicity2πR ofτis also modified toR= 1−152b.(3.5) It is the inverse radius R−1that serves as the ultraviolet cutoffof QCD3.To solve the dilaton wave equation in theα′-corrected geometry(3.1),we writeΦ=Φ0+f(ρ)e ikx Y l(Ω5),(3.6) whereΦ0is the dilaton background given by(3.3),and expand f(ρ)and k2inγasf(ρ)=f0(ρ)+γh(ρ),k2=k20+γδk2.(3.7) Here f0(ρ)obeys the lowest order equation(2.3)and is a numerically given function,and k20is likewise determined from(2.3).The second-order differential equation obtained from the action(3.4)in the background metric(3.1)and dilatonfield(3.3)is,in units in which b=1,ρ−1ddρ −(k20+l(l+4)ρ2)h==(75−240ρ−8+165ρ−12)d2f0dρ+(δk2−120(k20+l(l+4)ρ2)ρ−12−405ρ−14)f0(ρ).(3.8) With f0(ρ)and k20given,one may regard this as an inhomogeneous version of the equation (2.3).We solve this equation for h(ρ)andδk2.We are now ready to present our results.Let us denote the lowest mass of the l-th Kaluza-Klein state by M l.In units of the ultraviolet cutoffΛUV=(2R)−1,with R given by(3.5),wefindM20=11.59×(1−2.78ζ(3)α′3+···)Λ2UVM21=19.43×(1−2.66ζ(3)α′3+···)Λ2UVM22=29.26×(1−2.62ζ(3)α′3+···)Λ2UVM23=41.10×(1−2.61ζ(3)α′3+···)Λ2UVM24=54.93×(1−2.63ζ(3)α′3+···)Λ2UVM25=70.76×(1−2.66ζ(3)α′3+···)Λ2UVM26=88.60×(1−2.69ζ(3)α′3+···)Λ2UVM27=108.4×(1−2.72ζ(3)α′3+···)Λ2UV.(3.9)Similar behavior is observed for the excited levels of each Kaluza-Klein state.Thus the corrections do not make the Kaluza-Klein states heavier than the glueballs, and the decoupling of the Kaluza-Klein states is not evident to this order.According to Maldacena’s duality,theλ−1/2expansion of the gauge theory corresponds to theα′-expansion of the two-dimensional sigma model with the AdS5black hole×S5as its target space.It is possible that the decoupling of the Kaluza-Klein states takes place only non-perturbatively in the sigma model.AcknowledgmentsWe thank Csaba Cs´a ki,Aki Hashimoto,Yaron Oz,John Terning,and especially David Gross for useful discussions.We thank the Institute for Theoretical Physics at Santa Barbara for its hospitality.This work was supported in part by the NSF grant PHY-95-14797and the DOE grant DE-AC03-76SF00098,and in part by the NSF grant PHY-94-07194through ITP.H.R. and J.T.gratefully acknowledge the support of the A.Carl Helmholz Fellowship in the Department of Physics at the University of California,Berkeley.Appendix:The Boundary Condition at the HorizonIn this appendix,we show that the boundary condition at the horizonρ=b used in the shooting method[1]is consistent,and that the eigenvalue k2and the wavefunction f(ρ)can be evaluated to an arbitrarily high precision using this method.In the neighborhood ofρ=b,the dilaton wave equation takes the form∂ρ(ρ−b)∂ρf(ρ)+···=0.(3.10) Its general solution is of the formf(ρ)=c1[1+α(ρ−b)+···]+c2[log(ρ−b)+···](3.11)with arbitrary coefficients c1,2(the constantαis determined by the wave equation and is in general non-zero).The regularity of the dilatonfield requires c2=0.In the shooting method,we numerically integrate the differential equation starting from a sufficiently large value ofρdown to the horizon.For generic k2,the function thus obtained,when expanded as in(3.11),would have c2=0.The task is to adjust k2so that c2=0.Since f(ρ)is divergent atρ=b for generic k2,it is numerically difficult to impose the boundary condition directly atρ=b.Instead,in[1]and in this paper,we required f′=0 atρ=b+ǫfor a given smallǫ(for example,ǫ=0.0000001b in this paper).By(3.11), this condition impliesc2=−c1αǫ+···.(3.12)Therefore,c2can be made arbitrarily small by adjustingǫ.This justifies the numerical method used in[1]and in this paper.We thank Aki Hashimoto for discussions on the numerical method.References[1]C.Cs´a ki,H.Ooguri,Y.Oz and J.Terning,“Glueball Mass Spectrum from Supergravity,”hep-th/9806021.[2]J.M.Maldacena,“The Large N Limit of Superconformal Field Theories and Supergravity,”hep-th/9711200.[3]S.S.Gubser,I.R.Klebanov and A.M.Polyakov,“Gauge Theory Correlators from Non-Critical String Theory,”hep-th/9802109.[4]E.Witten,“Anti-de Sitter Space and Holography,”hep-th/9802150.[5]E.Witten,“Anti-de Sitter Space,Thermal Phase Transition,And Confinement in GaugeTheories,”hep-th/9803131.[6]D.J.Gross and H.Ooguri,“Aspects of Large N Gauge Theory Dynamics as Seen by StringTheory,”hep-th/9805129.[7]H.J.Kim,L.J.Romans and P.Van Nieuwenhuizen,“Mass Spectrum of Chiral Ten-Dimensional N=2Supergravity on S5,”Phys.Rev.D32(1985)389.[8]M.G¨u naydin and N.Marcus,“The Spectrum of The S5Compactification of Chiral N=2,D=10Supergravity and The Unitary Supermultiplets of U(2,2/4),”Class.Quant.Grav.2(1985)L11.[9]S.S.Gubser,I.R.Klebanov and A.A.Tseytlin,“Coupling Constant Dependence in theThermodynamics of N=4Supersymmetric Yang-Mills Theory,”hep-th/9805156.[10]M.T.Grisaru,A.E.M.van de Ven and D.Zanon,“Four-Loop Beta Function for theN=1and N=2Supersymmetric Nonlinear Sigma-Model in Two Dimensions,”Phys.Lett.B173(1986)423;M.T.Grisaru and D.Zanon,“Sigma-Model Superstring Corrections to the Einstein-Hilbert Action,”Phys.Lett.B177(1986)347.[11] D.J.Gross and E.Witten,“Superstring Modifications of Einstein Equation,”Nucl.Phys.B277(1986)1.。

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theories of special relativity and general relativity, and he is also
known for his equation E=mc². Einstein received the Nobel Prize in Physics in 1921 for his work on
quantum theory
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Galileo Galilei
Galileo Galilei
Galileo Galilei was an Italian astronomer, physicist, and mathematician who is credited with making important contributions to the Scientific Revolution. He is known for his work in suppor
of tools and their ability to exhibit empathy. Dr. Goodall's work has led to a greater understanding of chimpanzees and their conservation status. She founded the Jane Goodall Institute in 1977 to promote conservation and animal welfare
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Richard Feynman
Richard Feynman
Richard Feynman was an American theoretical physicist who made numerous contributions to quantum electrodynamics and particle physics. His Nobel Prize-winning work on weak nuclear interactions and quantum chromodynamics helped revolutionize our understanding of these fields. Fe ynman's gift for explaining complex scientific concepts in a clear and concise manner made him a popular lecturer and author. His books "The Feynman Lectures on Physics" and "QED: The Strange Theory of Light and Matter" are considered classics in the field of physics education 以上这些科学家为人类科学事业做出了杰出的贡献,他们的发现和理论不仅改变了我们对 世界的认识,也推动了人类社会的发展
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where rðxÞ is a polynomial of at most second degree and sðxÞ is a polynomial of first degree.
In this paper a general method to express the coefficients An; Bn and Cn of the recurrence equation
rðxÞDqD1=qyðxÞ þ sðxÞDqyðxÞ þ kq;nyðxÞ ¼ 0;
ð6Þ
where
f ðqxÞ À f ðxÞ Dqf ðxÞ ¼ ðq À 1Þx ; q 6¼ 1;
denotes the q-difference operator [6], and rðxÞ ¼ ax2 þ bx þ c and sðxÞ ¼ dx þ e are again polynomials of at most second- and of first-order, respectively. By equating the coefficients of xn in (6) one gets
Applied Mathematics and Computation 128 (2002) 303–327 /locate/amc
Recurrence equations and their classical orthogonal polynomial solutions
kn ¼ Àðanðn À 1Þ þ dnÞ:
ð4Þ
Similarly, a family pnðxÞ of polynomials of degree exactly n, given by (2), is a family of classical discrete orthogonal polynomials if it is the solution of a difference equation of the type
In a similar way, classical discrete orthogonal polynomial solutions of holonomic three-term recurrence equations can be determined by considering their corresponding difference equation
In this paper an algorithm is developed which answers this question for a large class of classical orthogonal polynomial systems. Furthermore, we present results of our corresponding Maple implementation retode and compare these with the Maple implementation rec2ortho of Koornwinder and Swarttouw [12]. These programs overlap, but rec2ortho does not cover Bessel, Hahn and q-polynomials, whereas retode does not include the Meixner–Pollaczek case.
kq;n ¼ Àa½n1=q½n À 1q À d½nq;
ð7Þ
where the abbreviation
½nq
¼
1 À qn 1Àq
denotes the so-called q-brackets. Note that limq!1½nq ¼ n. It can be shown (see e.g. [14]) that any solution pnðxÞ of either (3), (5) or (6)
rðxÞy00ðxÞ þ sðxÞy0ðxÞ þ knyðxÞ ¼ 0;
ð3Þ
W. Koepf, D. Schmersau / Appl. Math. Comput. 128 (2002) 303–327
305
where rðxÞ ¼ ax2 þ bx þ c is a polynomial of at most second-order and sðxÞ ¼ dx þ e ðd 6¼ 0Þ is a polynomial of first-order ([3,13]). Since one demands that pnðxÞ has exact degree n, by equating the coefficients of xn in (3) one gets
rðxÞDryðxÞ þ sðxÞDyðxÞ þ knyðxÞ ¼ 0;
ð5Þ
where
DyðxÞ ¼ yðx þ 1Þ À yðxÞ and ryðxÞ ¼ yðxÞ À yðx À 1Þ
denote the forward and backward difference operators, respectively, and rðxÞ ¼ ax2 þ bx þ c and sðxÞ ¼ dx þ e are again polynomials of at most secondand of first-order, respectively, see e.g. [18]. Again, (4) follows.
rðxÞDryðxÞ þ sðxÞDyðxÞ þ knyðxÞ ¼ 0; where DyðxÞ ¼ yðx þ 1Þ À yðxÞ and ryðxÞ ¼ yðxÞ À yðx À 1Þ denote the forward and backward difference operators, respectively, and a similar approach applies to classical q-orthogonal polynomials, being solutions of the q-difference equation
Keywords: Computer algebra; Maple; Differential equation; Q-difference equation; Structure formula
1. Introduction
Families of orthogonal polynomials pnðxÞ (corresponding to a positive-definite measure) satisfy a three-term recurrence equation of the form
0096-3003/02/$ - see front matter Ó 2002 Elsevier Science Inc. All rights reserved. PII: S 0 0 9 6 - 3 0 0 3 ( 0 1 ) 0 0 0 7 8 - 9
304
W. Koepf, D. Schmersau / Appl. Math. Comput. 128 (2002) 303–327
Wolfram Koepf a,*, Dieter Schmersau b
a Dept. IMN, Hochschule f€ur Technik, Wirtschaft und Kultur Leipzig, D-04251 Leipzig, Germany b Freie Universit€at Berlin, Berlin, Germany
satisfies a recurrence equation (1).
The following is a general procedure to find the coefficients of the recurrence
* Corresponding author. Present address: Department of Mathematics, University of Kassel, Heinrich-Plett-Str. 40, D-34132 Kassel, Germany.
E-mail address: koepf@mathematik.uni-kassel.de (W. Koepf).
On the other hand, in practice one is often interested in an explicit solution of a given recurrence equation. Therefore it is an interesting question to ask whether a given recurrence equation has classical orthogonal polynomial solutions.
pnþ1ðxÞ ¼ ðAnx þ BnÞpnðxÞ À CnpnÀ1ðxÞ ðn 2 N0; pÀ1 0Þ
ð1Þ
with CnAnAnÀ1 > 0, see e.g. [5, p. 20]. Moreover, Favard’s theorem states that the converse is also true.
pnþ1ðxÞ ¼ ðAnx þ BnÞpnðxÞ À CnpnÀ1ðxÞ in terms of the given polynomials rðxÞ and sðxÞ is used to present an algorithm to determine the classical orthogonal polynomial solutions of any given holonomic threeterm recurrence equation, i.e., a homogeneous linear three-term recurrence equation with polynomial coefficients.
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