求解奇异摄动问题混合有限元的最优一致收敛的统一方法_英文_
Burgers方程特征混合有限元方法分析

Burgers方程特征混合有限元方法分析许超;周家全;唐启立【摘要】对非线性Burgers方程的一个低阶混合特征有限元求解问题进行研究,用双线性元逼近原问题的解,用零阶Raviart-Thomas(RT)元逼近中间变量,借助双线性元及零阶RT元的性质,分别导出了精确解的H1模和中间变量的L2模的最优误差估计,数值模拟进一步验证了理论分析的正确性.%A new characteristics mixed finite element scheme is proposed for the Burgers equations,in which the bilinear element and the lowest order Raviart-Thomas(RT) element are used to approximate the exact solution and the intermediate variable.With the help of the known high accuracy results of the bilinear element and zeros order RT element,the optimal error estimate results of exact solution in H1 norm and the intermediate variable in L2 norm are deduced.Finally,a numerical experiment is provided to verify the theoretical analysis.【期刊名称】《西北师范大学学报(自然科学版)》【年(卷),期】2017(053)006【总页数】5页(P6-9,21)【关键词】Burgers方程;特征混合有限元;误差估计【作者】许超;周家全;唐启立【作者单位】洛阳理工学院数理部,河南洛阳471023;洛阳理工学院数理部,河南洛阳471023;河南科技大学数学与统计学院,河南洛阳471023【正文语种】中文【中图分类】O242.21考虑如下Burgers方程:这里X=(x,y),Ω⊂R2为有界凸区域,其边界∂Ω分段光滑,向量值函数u=(u1,u2),γ>0为流体的粘性系数,T>0为常数.Burgers方程是一类非常重要的非线性发展方程,有着深刻的物理背景,在湍流、传热、传质、大气和水资源污染等方面都有广泛的应用.关于问题(1)数值解法的研究已有很多,如文献[1-2]讨论了有限元方法,文献[3-4]进一步讨论了求解该问题的混合有限元方法,文献[5]使用两网格方法求解该问题,并得到了关于混合元对的最优误差估计结果,文献[6-8]分别研究了该问题的特征混合元方法、特征非协调元方法以及特征最小二乘有限元方法的求解问题.最近,文献[9]研究了对流占优扩散方程的一类特征混合元方法,并得到了相应的最优误差估计结果.文中将特征混合有限元方法应用于求解非线性Burgers方程,用双线性元逼近精确解u,用零阶RT元逼近中间变量p,利用高精度结果得到了关于u 的H1模和p的零模的最优误差估计,最后通过数值模拟验证理论分析的正确性. 以下记Wm,p(Ω)为标准的Sobolev空间,且Wm,2(Ω)=Hm(Ω),Hm(Ω)上的范数和半范数分别为m和m. 当m=0时,记H0(Ω)=L2(Ω),L2(Ω)上的范数为0.设[a,b]⊂[0,T],Y为Sobolev空间,f(X,t)是Ω×[a,b]上的连续函数,定义Lp(a,b;Y)和Lp(a,b;Y)如下:当p=∞时,范数为本质上界.为简便起见,设Ω是R2中的一个有界凸多边形区域,其边界∂Ω平行于x轴和y 轴,Jh是Ω的一个矩形剖分簇,即满足正则假设或拟一致假设.记h为Jh中的单元最大直径,单元K的4个顶点和4条边分别记为ai和li(i=1,2,3,4).有限元空间Vh和Mh定义如下:这里Qij=span{xrys:0≤r≤i,0≤s≤j}.设为相应的插值算子,且满足这里κ为对应边li的单位切向量.为了进行误差分析,给出下列高精度结果.引理1[10] 对∀u∈(H3(Ω))2,有这里及下文中出现的C均为与h无关的正常数,且在不同地方取值可以不同.为了便于进行误差分析,文中假定方程(1)的解足够光滑,且满足:(A)初值存在惟一,具有以下光滑性:且存在正常数K1,使得L∞(L∞)≤K1.(B)存在正常数K2使得+≤K2.令ψ(u)=,用τ=τ(u)表示+u·u的特征方向, 则ψ(u)=+u·.方程(1)可表示为如下等价形式:引入u的通量p=-u,则问题(3)可以写成如下的一阶系统:相应于问题(4)的变分形式为:求(u,p)∈×(L2(Ω))2×2,使得将[0,T]进行N等分,记时间步长为Δt=T/N,tn=nΔt(n=0,1,…,N),Tn=(tn-1,tn).在tn时刻,特征方向导数采用向后差分逼近方式.记则有这里问题(5)的特征混合有限元离散格式为:求使得其中为u0(X)的有限元插值.由文献[11]知空间对以及(Vh,Wh)分别满足连续和离散的LBB条件,进而根据偏微分方程理论可知问题(5)和(6)的解存在唯一.下面给出关于u的H1模和p的零模的误差估计结果.定理1 设u和uh分别是问题(1)和(6)的解,且则有证明令则由(5)式和(6)式可以推出记∂tθn=,在(8)式的第一式和第二式中分别取vh=∂tθn,wh=γ∂tθ n并相加可得首先根据∂tθn的定义有其次利用Cauchy-Schwarz不等式以及Young不等式,A1可以估计为利用引理1和逆不等式有下面对A3进行估计,利用Cauchy不等式与Young不等式可以推出由文献[12,13]可知从而类似可以得到利用文献[6]中的方法,A5可估计为将(11)~(15)式代入(9)式,注意到右端项||∂tθn可以吸收到左边,然后两边同时乘以2Δt可以推出上式两端从1到n进行累加,并注意到θ 0=0可得再由Gronwall引理可得进一步可以推出下面对通量p进行估计.在问题(8)的第二式中取wh=ζ n可以得到由插值误差估计结果可以推出将(19)~(21)式代入(18)式容易得到借助于三角不等式、结论(17)和(22)可以推得(7)式成立,定理得证. 】为验证理论分析的正确性,考虑如下算例:其中Ω=[0,1]×[0,1],f是一个给定的向量函数,取参数γ=1,方程的解为采用正方形网格剖分,相应的计算结果见表1.由表1可以看出,误差1和0的收敛阶均为O(h),和理论结果一致,这进一步验证了理论分析的正确性.【相关文献】[1] DOGAN A.A Galerkin finite element approach to Burgers equation[J].Applied Mathematics and Computation,2004,157(2):331.[2] 张铁,黄明游.二维Burgers方程的非协调有限元方法[J].吉林大学学报(理学版),1987,23(3):8.[3] 罗振东,刘儒勋.Burgers方程的混合元分析及其数值模拟[J].计算数学,1999,21(3):257.[4] PANY A K, NATARAJ N, SINGH S.A new mixed finite element method for Burgers equation[J].Journal of Applied Mathematics and Computing,2007,23(1/2):43.[5] HU Xiao-hui,HUANG Peng-zhan,FENG Xin-long.Two-grid method for Burgers’ equation by a new mixed finite element scheme[J].Mathematical Modelling and Analysis,2014,19(1):1.[6] CHEN Huan-zhen,JIANG Zi-wen.A characteristics mixed finite element method for Burgers equation[J].Journal of Applied Mathematics and Computing,2004,15(1/2):29. [7] 周家全,孙应德,张永胜.Burgers方程的非协调特征有限元方法[J].山东大学学报(理学版),2012,47(12):103.[8] SHI Dong-yang,ZHOU Jia-quan,SHI Dong-wei.A new low order least squares nonconforming characteristics mixed finite element method For Burgers’equation[J].Applied Mathematics and Computation,2013,219(24):11302.[9] SHI Dong-yang, LIAO Xin, WANG Le-le.The lowest order characteristic mixed finite element scheme for convection-dominated diffusion problem[J].Computers & Mathematics with Applications,2014,68(7):759.[10] LIN Qun,LIN Jia-fu.Finite Element Methods:Accuracy andImprovement[M].Beijing:Science Press,2006.[11] 陈绍春,陈红如.二阶椭圆问题新的混合元格式计算数学[J].计算数学,2010,32(2):213.[12] 袁益让.半导体器件数值模拟的特征有限方法和分析[J].数学物理学报,1993,13(3):241.[13] RUSSELL T F.Time stepping along the Characteristics with incomplete iteration for a Galerkin approximation of the miscrible displacement in porous media[J].SIAM Journal of Numerical Analysis,1985,22(5):970.。
simultaneous equation method

Simultaneous Equation MethodIntroductionIn mathematics, simultaneous equations play a crucial role in solving real-world problems and modeling various phenomena. The simultaneous equation method is a powerful technique used to find solutions for a system of equations. This method involves solving multiple equations together to determine the values of unknown variables. In this article, we will explore the simultaneous equation method in detail and discuss its applications.Understanding Simultaneous EquationsDefinitionSimultaneous equations, also known as a system of equations, are a set of equations that share the same variables. The solutions of these equations simultaneously satisfy each equation in the system. The general form of simultaneous equations can be written as:a1x + b1y = c1a2x + b2y = c2Here, x and y are the variables, while a1, a2, b1, b2, c1, and c2 are constants.Types of Simultaneous EquationsSimultaneous equations can be classified into three types based on the number of solutions they have:1.Consistent Equations: These equations have a unique solution,meaning there is a specific set of values for the variables thatsatisfy all the equations in the system.2.Inconsistent Equations: This type of system has no solution. Theequations are contradictory and cannot be satisfied simultaneously.3.Dependent Equations: In this case, the system has infinitely manysolutions. The equations are dependent on each other and represent the same line or plane in geometric terms.To solve simultaneous equations, we employ various methods, with the simultaneous equation method being one of the most commonly used techniques.The Simultaneous Equation MethodThe simultaneous equation method involves manipulating and combining the given equations to eliminate one variable at a time. By eliminating one variable, we can reduce the system to a single equation with one variable, making it easier to find the solution.ProcedureThe general procedure for solving simultaneous equations using the simultaneous equation method is as follows:1.Identify the unknow n variables. Let’s assume we have n variables.2.Write down the given equations.3.Choose two equations and eliminate one variable by employingsuitable techniques such as substitution or elimination.4.Repeat step 3 until you have a single equation with one variable.5.Solve the single equation to determine the value of the variable.6.Substitute the found value back into the other equations to obtainthe values of the remaining variables.7.Verify the solution by substituting the found values into all theoriginal equations. The values should satisfy each equation.If the system is inconsistent or dependent, the simultaneous equation method will also lead to appropriate conclusions.Applications of Simultaneous Equation MethodThe simultaneous equation method finds applications in numerous fields, including:EngineeringSimultaneous equations are widely used in engineering to model and solve various problems. Engineers employ this method to determine unknown quantities in electrical circuits, structural analysis, fluid mechanics, and many other fields.EconomicsIn economics, simultaneous equations help analyze the relationship between different economic variables. These equations assist in studying market equilibrium, economic growth, and other economic phenomena.PhysicsSimultaneous equations are a fundamental tool in physics for solving complex problems involving multiple variables. They are used in areas such as classical mechanics, electromagnetism, and quantum mechanics.OptimizationThe simultaneous equation method is utilized in optimization techniques to find the optimal solution of a system subject to certain constraints. This is applicable in operations research, logistics, and resource allocation problems.ConclusionThe simultaneous equation method is an essential mathematical technique for solving systems of equations. By employing this method, we can find the values of unknown variables and understand the relationships between different equations. The applications of this method span across various fields, making it a valuable tool in problem-solving and modeling real-world situations. So, the simultaneous equation method continues to be akey topic in mathematics and its practical applications in diverse disciplines.。
A Blow-Up Criterion for the Nonhomogeneous Incompressible Navier--Stokes Equations

SIAM J.M ATH.A NAL.c 2006Society for Industrial and Applied Mathematics Vol.37,No.5,pp.1417–1434A BLOW-UP CRITERION FOR THE NONHOMOGENEOUSINCOMPRESSIBLE NA VIER–STOKES EQUATIONS∗HYUNSEOK KIM†Abstract.Let(ρ,u)be a strong or smooth solution of the nonhomogeneous incompressible Navier–Stokes equations in(0,T∗)×Ω,where T∗is afinite positive time andΩis a bounded domain in R3with smooth boundary or the whole space R3.We show that if(ρ,u)blows up at T∗,thenT∗0|u(t)|sL r w(Ω)dt=∞for any(r,s)with2s+3r=1and3<r≤∞.As immediate applications,we obtain a regularity theorem and a global existence theorem for strong solutions.Key words.blow-up criterion,nonhomogeneous incompressible Navier–Stokes equations AMS subject classifications.35Q30,76D05DOI.10.1137/S00361410044421971.Introduction.The motion of a nonhomogeneous incompressible viscousfluid in a domainΩof R3is governed by the Navier–Stokes equations(ρu)t+div(ρu⊗u)−Δu+∇p=ρf,(1.1)ρt+div(ρu)=0in(0,∞)×Ω,(1.2)div u=0(1.3)and the initial and boundary conditions(ρ,ρu)|t=0=(ρ0,ρ0u0)inΩ,u=0on(0,T)×∂Ω,(1.4)ρ(t,x)→0,u(t,x)→0as|x|→∞,(t,x)∈(0,T)×Ω.Here we denote byρ,u,and p the unknown density,velocity,and pressurefields of thefluid,respectively.f is a given external force driving the motion.Ωis either a bounded domain in R3with smooth boundary or the whole space R3.Throughout this paper,we adopt the following simplified notation for standard homogeneous and inhomogeneous Sobolev spaces:L r=L r(Ω),D k,r={v∈L1loc(Ω):|v|D k,r<∞};H k,r=L r∩D k,r,D k=D k,2,H k=H k,2;D10={v∈L6:|v|D1<∞and v=0on∂Ω};H10=L2∩D10,,D10,σ={v∈D10:div v=0inΩ};|v|D k,r=|∇k v|L r and|v|D10=|v|D10,σ=|∇v|L2.Note that the space D10is the completion of C∞c(Ω)in D1,and thus there holds the following Sobolev inequality:|v|L6≤2√3|v|D1for all v∈D10.(1.5)∗Received by the editors March17,2004;accepted for publication(in revised form)May9,2005; published electronically January10,2006.This work was supported by the Japan Society for the Promotion of Science under the JSPS Postdoctoral Fellowship for Foreign Researchers./journals/sima/37-5/44219.html†School of Mathematics,Korea Institute for Advanced Study207-43Cheongnyangni2-dong, Dongdaemun-gu,Seoul,130-722,Korea(khs319@postech.ac.kr,khs319@kias.re.kr).14171418HYUNSEOK KIMFor a proof of (1.5),see sections II.5and II.6in the book by Galdi [11].The global existence of weak solutions has been established by Antontsev and Kazhikov [1],Fernandez-Cara and Guillen [10],Kazhikov [13],Lions [21],and Simon [26,27].From these results (see [21]in particular),it follows that for any data (ρ0,u 0,f )with the regularity0≤ρ0∈L 32∩L ∞,u 0∈L 6,and f ∈L 2(0,∞;L 2),there exists at least one weak solution (ρ,u )to the initial boundary value problem (1.1)–(1.4)satisfying the regularity ρ∈L ∞(0,∞;L 32∩L ∞),√ρu ∈L ∞(0,∞;L 2),and u ∈L 2(0,∞;D 10,σ)(1.6)as well as the natural energy inequality.Then an associated pressure p is determinedas a distribution in (0,∞)×Ω.But the global existence of strong or smooth solutions is still an open problem and only local existence results have been obtained for sufficiently regular data satisfying some compatibility conditions.For details,we refer to the papers by Choe and the author [6],Kim [15],Ladyzhenskaya and Solonnikov [19],Okamoto [22],Padula [23],and Salvi [24].In particular,it is shown in [6](see also [7])that if the data ρ0,u 0,and f satisfy 0≤ρ0∈L 32∩H 2,u 0∈D 10,σ∩D 2,−Δu 0+∇p 0=ρ120g,(1.7)f ∈L 2(0,∞;H 1),and f t ∈L 2(0,∞;L 2)for some (p 0,g )∈D 1×L 2,then there exist a positive time T and a unique strongsolution (ρ,u )to the problem (1.1)–(1.4)such that ρ∈C ([0,T ];L 32∩H 2),u ∈C ([0,T ];D 10,σ∩D 2)∩L 2(0,T ;D 3),(1.8)u t ∈L 2(0,T ;D 10,σ),and √ρu t ∈L ∞(0,T ;L 2).Moreover,the existence of a pressure p in C ([0,T ];D 1)∩L 2(0,T ;D 2)can be deducedfrom (1.1)–(1.3).See [5]for a detailed argument.Let (ρ,u )be a global weak solution to the problem (1.1)–(1.4)with the data (ρ0,u 0,f )satisfying condition (1.7).Then from the above local existence result and weak-strong uniqueness results in [6]and [21],we conclude that the solution (ρ,u )satisfies the regularity (1.8)for some positive time T .One fundamental problem in mathematical fluid mechanics is to determine whether or not (ρ,u )satisfies (1.8)for all time T .As an equivalent formulation,we may ask the following.Fundamental question 1.1.Does the solution (ρ,u )blow up at some finite time T ∗?Such a time T ∗,if it exists,is called the finite blow-up time of the solution (ρ,u )in the class H 2.In spite of great efforts since the pioneering works by Leray [20]in 1930s,there have been no definite answers to the fundamental question even for the case of the homogenous Navier–Stokes equations with only some blow-up criteria available.The first criterion is due to Leray [20]who proved,among other things,that if T ∗is the finite blow-up time of a strong solution u to the Cauchy problem for the homogeneous Navier–Stokes equations,then for each r with 3<r ≤∞,there exists a constant C =C (r )>0such that |u (t )|L r ≥C (T ∗−t )−12(1−3r )for all near t <T ∗.(1.9)NONHOMOGENEOUS NAVIER–STOKES EQUATIONS1419This estimate near the blow-up time was extended by Giga [12]to the case of bounded domains.An immediate consequence of (1.9)is the following well-known blow-up criterion in terms of the so-called Serrin class (see [9,25,29]):T ∗0|u (t )|s L r dt =∞for any (r,s )with 2s +3r =1,3<r ≤∞.(1.10)By virtue of Sobolev inequality (1.5),we deduce from (1.10)thatT ∗|∇u (t )|4L 2dt =∞.(1.11)Further generalizations of (1.10)and (1.11)have been obtained by Beirao da Veiga [2],Berselli [3],Chae and Choe [4],and Kozono and Taniuchi [17].The major purpose of this paper is to prove the blow-up criterion (1.10)for strong solutions of the nonhomogeneous Navier–Stokes equations (1.1)–(1.3).In fact,we establish a more general result.To state our main result precisely,we first introduce the notion of the blow-up time of solutions in the class H 2m with m ≥1.Let (ρ,u )be a strong solution to the initial boundary value problem (1.1)–(1.4)with the regularityρ∈C ([0,T ];L 32∩H 2m ),u ∈C ([0,T ];D 10,σ∩D2m)∩L 2(0,T ;D 2m +1),∂j t u ∈C ([0,T ];D 10,σ∩D2m −2j)∩L 2(0,T ;D 2m −2j +1)for 1≤j <m,(1.12)∂m t u ∈L 2(0,T ;D 10,σ),and √ρ∂m t u ∈L ∞(0,T ;L 2)for any T <T ∗,where T ∗is a finite positive time.Then we can defineΦm (T )=1+sup 0≤t ≤T|∇ρ(t )|H 2m −1+|u (t )|D 10∩D 2m + T|u (t )|2D 2m +1dt+sup1≤j<msup 0≤t ≤T|∂jt u (t )|D 10∩D 2m −2j +T|∂jt u (t )|2D 2m −2j +1dt(1.13)+ess sup 0≤t ≤T|√ρ∂mtu (t )|L 2+T|∂mt u (t )|2D 10dtfor any T <T ∗.Hereafter we use the obvious notation|·|X ∩Y =|·|X +|·|Yfor (semi-)normed spaces X,Y.Definition 1.2.A finite positive number T ∗is called the finite blow-up time ofthe solution (ρ,u )in the class H 2m ,provided thatΦm (T )<∞for0<T <T ∗andlim T →T ∗Φm (T )=∞.We are now ready to state the main result of this paper.Theorem 1.3.For a given integer m ≥1,we assume that∂mtf ∈L 2(0,∞;L 2)and∂jt f ∈L 2(0,∞;H 2m −2j −1)for 0≤j <m.Let (ρ,u )be a strong solution of the nonhomogeneous Navier–Stokes equations (1.1)–(1.3)satisfying the regularity (1.12)for any T <T ∗.If T ∗is the finite blow-up time of (ρ,u )in the class H 2m ,then we haveT ∗|u (t )|s L r wdt =∞for any (r,s )with 2s +3r =1,3<r ≤∞.(1.14)1420HYUNSEOK KIMHere L r w denotes the weak L r-space,that is,the space consisting of all vector fields v ∈L 1loc (Ω)such that |v |L r w=sup α>0α|{x ∈Ω:|v (x )|>α}|1r <∞for 3<r <∞and |v |L ∞w=|v |L ∞<∞.In the case when 3<r <∞,L ris a proper subspace of L r w (|x |−3/r ∈L r w (R 3)for instance)and so Theorem 1.3is in fact a generalizationof the blow-up criterion (1.10)due to Leray and Giga even for the homogeneous Navier–Stokes equations.Theorem 1.3is proved in the next two sections.In section 2,we provide a proof of the theorem for the very special case m =1.Our method of the proof is quite well known in the case of the homogeneous Navier–Stokes equations and was also applied in an earlier paper [6]by Choe and the author to the nonhomogeneous case:combining classical regularity results on the Stokes equations with H¨o lder and Sobolev inequal-ities,we show that Φ1(T )is bounded in a double exponential way by T0|u (t )|s L r wdt for any T less than the blow-up time T ∗.But the use of weak Lebesgue spaces in space variables makes it more difficult to estimate the nonlinear convection term.To overcome this technical difficulty,we utilize some basic theory of the Lorenz spaces developed in [18]and [30].See the derivations of (2.6)and (2.7)for details.Concern-ing the proof for the general case m ≥2,the basic idea is also to show that Φm (T )isbounded in some specific way by T0|u (t )|s L r wdt for any T <T ∗.Such an approach is more or less standard in the case of the homogeneous Navier–Stokes equations,but its extension to the nonhomogeneous case is not straightforward and indeed much complicated due to the evolution of the density.A detailed argument is provided in section 3.Some corollaries of Theorem 1.3can be deduced from a local existence result on strong solutions in the class H 2m .For instance,as an immediate consequence of Theorem 1.3,the local existence result in the class H 2,and the weak-strong uniqueness result,we obtain the following regularity result whose obvious proof may be omitted.Corollary 1.4.Let (ρ,u )be a global weak solution to the initial boundary value problem (1.1)–(1.4)with the data satisfying condition (1.7).If there exists a finite positive time T ∗such thatu ∈L s (0,T ∗;L r w )for some (r,s )with2s +3r=1,3<r ≤∞,(1.15)then the solution (ρ,u )satisfies regularity (1.8)for some T >T ∗.A similar result was obtained by Choe and the author [6]assuming,however,astronger condition on u ,that is,u ∈L 4(0,T ∗;D 10).By virtue of Corollary 1.4,we may conclude that the class (which we call a weak Serrin class )in (1.15)is a regularity class for weak solutions of the nonhomogeneous Navier–Stokes equations,which was already proved by Sohr [28]for the homogeneous case.See also a local version of Sohr’s result in [14].Moreover,thanks to a recent result by Dubois [8],the weak Serrin class is a uniqueness class for the homogeneous Navier–Stokes equations.It is also noticed that the same results can be easily derived from regularity and uniqueness results due to Kozono by adapting the arguments in the remarks of Theorem 3in [16].Theorem 1.3and its proof can be used to obtain a global existence result on solutions in the class H 2under some smallness condition on u 0and f (but not on ρ0).Theorem 1.5.For each K >1,there exists a small constant ε>0,depending only on K and the domain Ω,with the following property:if the data ρ0,u 0,and f satisfy|ρ0|L 32∩L∞≤K,|u 0|D 10≤ε,and ∞|f (t )|2L 2dt ≤ε2(1.16)NONHOMOGENEOUS NAVIER–STOKES EQUATIONS1421in addition to condition (1.7),then there exists a unique global strong solution (ρ,u )to problem (1.1)–(1.4)satisfying regularity (1.8)for any T <∞.A rather simple proof of Theorem 1.5is provided in section 4.Finally,we recall that in the case when ρ0is bounded away from zero and Ωis a bounded domain in R 3with smooth boundary,Salvi [24]proved the local existence of strong solutions in the class H 2m for every m ≥1.Hence adapting the proofs of Corollary 1.4and Theorem 1.5,we can also prove analogous regularity and global existence results on strong solutions in every class H 2m provided that Ω⊂⊂R 3and ρ0>0on Ω.2.Proof of Theorem 1.3with m =1.In this section,we prove Theorem 1.3for the special case m =1.Let t 0be a fixed time with 0<t 0<T ∗and let us denoteΦ0(T )= T|u (t )|s L r wdt for t 0≤T <T ∗,where (r,s )is any pair satisfying condition (1.14).To prove Theorem 1.3,we haveonly to show that Φ1(T )≤C exp (C exp (C Φ0(T )))for t 0≤T <T ∗.(2.1)Throughout this paper,we denote by C a generic positive constant depending onlyon r ,m ,Φm (t 0),T ∗,Ω,|ρ(0)|L 32∩L ∞,|u (0)|L 6,and the norm of f ,but independent of T in particular.To begin with,we recall from (1.6)that sup0≤t ≤T|ρ(t )|L 32∩L ∞+|√ρu (t )|L 2 +T|u (t )|2D 10dt ≤C(2.2)for t 0≤T <T ∗.2.1.Estimates for T 0|√ρu t (t )|2L 2dt and sup 0≤t ≤T |u (t )|D 10.Next,we willshow thatT 0|√ρu t (t )|2L 2+|u (t )|2D 10∩D 2 dt +sup 0≤t ≤T|u (t )|2D 10≤C exp (C Φ0(T ))(2.3)for t 0≤T <T ∗.To show this,we multiply the momentum equation (1.1)by u t andintegrate over Ω.Then using (1.2)and (1.3),we easily deriveρ|u t |2dx +12d dt |∇u |2dx = ρ(f −u ·∇u )·u t dx andρ|u t |2dx +ddt|∇u |2dx ≤2ρ|f |2dx +2ρ|u ·∇u |2dx.(2.4)On the other hand,since (u,p )is a solution of the stationary Stokes equations−Δu +∇p =Fanddiv u =0inΩ,where F =ρ(f −u ·∇u −u t ),it follows from the classical regularity theory that |∇u |H 1≤C (|F |L 2+|∇u |L 2)(2.5)≤C (|f |L 2+|√ρu t |L 2+|u ·∇u |L 2+|∇u |L 2).1422HYUNSEOK KIMTo estimate the right-hand sides of(2.4)and(2.5),wefirst observe that|u·∇u|L2=|u·∇u|L2,2≤C|u|L rw |∇u|L2rr−2,2,(2.6)which follows from H¨o lder inequality in the Lorenz spaces.See Proposition2.1in[18]. Next,we will show that|∇u|L2rr−2,2≤C|∇u|1−3rL2|∇u|3rH1.(2.7)If r=∞,then(2.7)is obvious.Assuming that3<r<∞,we choose r1and r2suchthat3<r1<r<r2<∞and2r =1r1+1r2.Then in view of H¨o lder and Sobolevinequalities,we have|∇u|L2r ir i−2≤|∇u|1−3r iL2|∇u|3r iL6≤|∇u|1−3r iL2(C|∇u|H1)3r ifor each i=1,2.Since L2r r−2,2is a real interpolation space of L2r2r2−2and L2r1r1−2,moreprecisely,L2r r−2,2=(L2r2r2−2,L2r1r1−2)12,2,it thus follows that|∇u|L2rr−2,2≤C|∇u|12L2r2r2−2|∇u|12L2r1r1−2≤C|∇u|1−3r2L2(C|∇u|H1)3r212|∇u|1−3r1L2(C|∇u|H1)3r112,which proves(2.7).For some facts on the real interpolation theory and Lorenz spaces used above,we refer to sections1.3.3and1.18.6in Triebel’s book[30].The estimates(2.6)and(2.7)yield|u·∇u|L2≤C|u|L rw |∇u|2sL2|∇u|3rH1≤η−3s2r C|u|s2L rw|∇u|L2+η|∇u|H1for any small numberη∈(0,1).Substituting this into(2.5),we obtain|∇u|H1≤C|f|L2+|√ρu t|L2+|u|s2L rw|∇u|L2+|∇u|L2,(2.8)and thus|u·∇u|L2≤η−3s2r C|u|s2L rw+1|∇u|L2+C|f|L2+η|√ρu t|L2.Therefore,substituting this estimate into(2.4)and choosing a sufficiently smallη>0, we conclude that1 2|√ρu t(t)|2L2+ddt|∇u(t)|2L2≤C|f(t)|2L2+C|u(t)|s L rw+1|∇u(t)|2L2(2.9)for t0≤t<T∗.In view of Gronwall’s inequality,we haveT0|√ρu t(t)|2L2dt+sup0≤t≤T|∇u(t)|2L2≤C exp(CΦ0(T))for any T with t0≤T<T∗.Combining this and(2.8),we obtain the desired estimate (2.3).NONHOMOGENEOUS NAVIER–STOKES EQUATIONS14232.2.Estimates for ess sup 0≤t ≤T |√ρu t (t )|2L 2and T 0|u t (t )|2D 10dt .To de-rive these estimates,we differentiate the momentum equation (1.1)with respect to time t and obtainρu tt +ρu ·∇u t −Δu t +∇p t =ρt (f −u t −u ·∇u )+ρ(f t −u t ·∇u ).Then multiplying this by u t ,integrating over Ω,and using (1.2)and (1.3),we have12d dtρ|u t |2dx + |∇u t |2dx(2.10)=(ρt (f −u t −u ·∇u )+ρ(f t −u t ·∇u ))·u t dx.Note that since ρ∈C ([0,T ];L 32∩L ∞),ρt ∈C ([0,T ];L 32),and u t ∈L 2(0,T ;D 10)forany T <T ∗,the right-hand side of (2.10)is well defined for almost all t ∈(0,T ∗).Hence using finite differences in time,we can easily show that the identity (2.10)holds for almost all t ∈(0,T ∗).In view of the continuity equation (1.2)again,we deduce from (2.10)that12ddtρ|u t |2dx + |∇u t |2dx≤2ρ|u ||u t ||∇u t |+ρ|u ||u t ||∇u |2+ρ|u |2|u t ||∇2u |(2.11)+ρ|u |2|∇u ||∇u t |+ρ|u t |2|∇u |+ρ|u ||u t ||∇f |+ρ|u ||f ||∇u t |+ρ|f t ||u t |dx ≡8 j =1I j .Following the arguments in [6],we can estimate each term I j :I 1,I 5≤C |ρ|12L ∞|∇u |L 2|√ρu t |L 3|∇u t |L 2≤C |ρ|34L ∞|∇u |L 2|√ρu t |12L 2|∇u t |32L 2≤C |∇u |4L 2|√ρu t |2L 2+116|∇u t |2L 2,I 2,I 3,I 4≤C |ρ|L ∞|∇u |2L 2|∇u t |L 2|∇u |H 1≤C |∇u |4L 2|∇u |2H 1+116|∇u t |2L 2,I 6,I 7≤C |ρ|L 6|∇u |L 2|f |H 1|∇u t |L 2≤C |∇u |2L 2|f |2H 1+116|∇u t |2L 2,and finallyI 8≤C |ρ|L 3|f t |L 2|∇u t |L 2≤C |f t |2L 2+116|∇u t |2L 2.Substitution of these estimates into (2.11)yieldsd dt |√ρu t |2L 2+|∇u t |2L 2≤C |∇u |4L 2 |√ρu t |2L 2+|∇u |2H 1+|f |2H 1 +C |f |2H 1+|f t |2L 2 .1424HYUNSEOK KIMTherefore,by virtue of estimate (2.3),we conclude that ess sup 0≤t ≤T|√ρu t (t )|2L 2+T|∇u t (t )|2L 2dt ≤C exp (C Φ0(T ))(2.12)for t 0≤T <T ∗.On the other hand,using the regularity theory of the Stokesequations again,we have|∇u |H 1≤C (|f |L 2+|√ρu t |L 2+|u ·∇u |L 2+|∇u |L 2)≤C |f |L 2+|√ρu t |L 2+|∇u |32L 2|∇u |12H 1+|∇u |L 2and|∇u |H 1,6≤C (|u t |L 6+|u ·∇u |L 6+|f |L 6+|∇u |L 6)≤C|∇u t |L 2+|∇u |2H1+|f |H 1+|∇u |H 1 .Hence it follows immediately from (2.3)and (2.12)that sup0≤t ≤T|u (t )|2D 10∩D 2+T|∇u (t )|2H 1,6dt ≤C exp (C Φ0(T ))(2.13)for t 0≤T <T ∗.2.3.Estimates for sup 0≤t ≤T |∇ρ(t )|H 1and T0|u (t )|2D 3dt .To derive these,we first observe that each ρx j (j =1,2,3)satisfiesρx jt +u ·∇ρx j =−u x j ·∇ρ.Then multiplying this by ρx j ,integrating over Ω,and summing up,we obtaind dt|∇ρ|2dx ≤C|∇u ||∇ρ|2dx ≤C |∇u |L ∞|∇ρ|2L 2.A similar argument shows thatddt|∇2ρ|2dx ≤C|∇u ||∇2ρ|2+|∇2u ||∇ρ||∇2ρ| dx ≤C |∇u |L ∞|∇2ρ|2L 2+|∇2u |L 6|∇ρ|L 3|∇2ρ|L 2.Hence using Sobolev embedding results and then Gronwall’s inequality,we derive thewell-known estimate|∇ρ(t )|H 1≤C exp C t 0|∇u (τ)|H 1,6dτ≤C exp tC |∇u (τ)|2H 1,6+1 dτ .Therefore by virtue of (2.13),we conclude that sup 0≤t ≤T|∇ρ(t )|H 1≤C exp (C exp (C Φ0(T )))(2.14)NONHOMOGENEOUS NAVIER–STOKES EQUATIONS1425for t 0≤T <T ∗.Finally,observing from the regularity theory on the Stokes equations that|u |D 3≤C (|ρu t |H 1+|ρu ·∇u |H 1+|ρf |H 1)≤C (|∇ρ|L 3+1) |∇u t |L 2+|∇u |2H 1+|f |H 1 ,we easily deduce from (2.3),(2.12),(2.13),and (2.14)thatT|u (t )|2D 3dt ≤C exp (C exp (C Φ0(T )))(2.15)for t 0≤T <T ∗.This completes the proof of (2.1)and thus the proof of Theorem 1.3with m =1.3.Proof of Theorem 1.3with m ≥ 2.Assume that m ≥ 2.Then to prove Theorem 1.3,it suffices to show that the following estimate holds for each k ,0≤k <m :Φk +1(T )≤C exp C expC Φk (T )10m for t 0≤T <T ∗.(3.1)The case k =0was already proved in section 2and so it remains to prove (3.1)forthe case 1≤k <m .Let k be a fixed integer with 1≤k <m .From (1.13),we recall thatΦk (T )=1+sup0≤j<ksup0≤t ≤T|∂jt u (t )|D 10∩D 2k −2j +T|∂jt u (t )|2D 2k −2j +1dt(3.2)+sup 0≤t ≤T|∇ρ(t )|H 2k −1+ess sup 0≤t ≤T|√ρ∂kt u (t )|L 2+T|∂kt u (t )|2D 10dtfor any T <T ∗.3.1.Estimates for ∂j t(u ·∇u ),∂j +1t ρ,and ∂jt (ρu )with 0≤j ≤k .To estimate nonlinear terms,we will make repeated use of the following simple lemma whose proof is omitted.Lemma 3.1.If g ∈D 10∩D j ,h ∈H i ,0≤i ≤j ,and j ≥2,thengh ∈H iand|gh |H i ≤C |g |D 10∩D j |h |H i for some constant C >0depending only on j and Ω.Using this lemma together with the fact that∂j t (u·∇u )=j i =0j !i !(j −i )!∂itu ·∇∂j −i t u,we can estimate ∂jt(u ·∇u )as follows:for 0≤j <k ,|∂jt(u ·∇u )|H 2k −2j −1≤Cj i =0|∂it u ·∇∂j −i t u |H 2k −2j −1≤C j i =0|∂it u |D 10∩D 2k −2j |∇∂j −i tu |H 2k −2j −1≤Cj i =0|∂it u |D 10∩D 2k −2i |∂j −i tu |D 10∩D 2k −2(j −i )1426HYUNSEOK KIM and|∂k t(u·∇u)|L2≤C k−1i=0|∂i t u·∇∂k−itu|L2+|∂k t u·∇u|L2≤C k−1i=0|∂i t u|D1∩D2|∇∂k−itu|L2+|∂k t u|D1|∇u|H1≤C k−1i=0|∂i t u|D1∩D2k−2i|∂k−itu|D1+|∂k t u|D1|u|D1∩D2.Hence it follows from(3.2)thatsup 0≤j<ksup0≤t≤T|∂j t(u·∇u)(t)|H2k−2j−1+T|∂k t(u·∇u)(t)|2L2dt≤CΦk(T)4(3.3)for t0≤T<T∗.Applying Lemma3.1to the continuity equationρt=−div(ρu)=−u·∇ρ,(3.4)we also deduce thatsup 0≤t≤T |ρt(t)|H2k−1≤CΦk(T)2for t0≤T<T∗.(3.5)Using(3.4)and(3.5),we can show thatsup 1≤j<ksup0≤t≤T|∂j+1tρ(t)|H2k−2j+T|∂k+1tρ(t)|2L2dt≤CΦk(T)2k+4(3.6)for t0≤T<T∗.A simple inductive proof of(3.6)may be based on the observation that for1≤j<k,|∂j+1tρ|H2k−2j=|−∂j t(u·∇ρ)|H2k−2j≤Cji=0|∂j−itu·∇∂i tρ|H2k−2j≤Cji=0|∂j−itu|D1∩D2k−2j|∇∂itρ|H2k−2j≤Cji=0|∂j−itu|D1∩D2k−2(j−i)|∂itρ|H2k−2(i−1)and|∂k+1t ρ|L2≤Cki=0|∂k−itu·∇∂i tρ|L2≤Cki=0|∂k−itu|D1|∂i tρ|H2.Moreover,it follows easily from(3.6)thatsup 0≤j<ksup0≤t≤T|∂j t(ρu)(t)|H2k−2j+T|∂k t(ρu)(t)|2H1dt≤CΦk(T)4k+10(3.7)NONHOMOGENEOUS NAVIER–STOKES EQUATIONS1427for t 0≤T <T ∗.Finally,recalling that∂k +1t f ∈L 2(0,∞;L 2)and ∂jt f ∈L 2(0,∞;H 2k −2j +1)for 0≤j ≤k,we deduce from standard embedding results that∂jt f ∈C ([0,∞);H 2k −2j )for0≤j ≤k.3.2.Estimates for T 0|√ρ∂k +1t u (t )|2L 2dt and sup 0≤t ≤T |∂k t u (t )|D 10.Fromthe momentum equation (1.1),we deriveρ ∂k t u t −Δ∂k t u +∇∂k t p =∂k t (ρf −ρu ·∇u )+ ρ∂k t u t −∂k t (ρu t ) .Hence multiplying this by ∂k +1t u and integrating over Ω,we haveρ|∂k +1t u |2dx +12d dt|∇∂k t u |2dx=∂k t (ρf −ρu ·∇u )+ ρ∂k t u t −∂kt (ρu t ) ·∂k +1tu dx (3.8)=I 0,1+k j =1k !j !(k −j )!(I j,1+I j,2),whereI j,1=∂j t ρ∂k −j t (f −u ·∇u )·∂k +1t u dx,I j,2=−∂j t ρ∂k −j t u t ·∂k +1t u dx.We easily estimate I 0,1as follows:I 0,1≤|ρ|12L ∞ |∂k t f |L 2+|∂k t (u ·∇u )|L 2 |√ρ∂k +1t u |L 2≤C |∂k t f |2L 2+|∂kt (u ·∇u )|2L2 +12|√ρ∂k +1t u |2L 2.To estimate I j,1for 1≤j ≤k ,we rewrite it asI j,1=d dt∂j t ρ∂k −j t (f −u ·∇u )·∂k t u dx − ∂j +1t ρ∂k −j t (f −u ·∇u )·∂kt u dx −∂j t ρ∂k −j +1t (f −u ·∇u )·∂kt u dx and observe that −∂j +1tρ∂k −j t (f −u ·∇u )·∂kt u dx ≤C |∂k −j t f |2H 1+|∂k −j t (u ·∇u )|2H 1 |∂j +1t ρ|2L 2+|∇∂k t u |2L 2and−∂j tρ∂k −j +1t (f −u ·∇u )·∂k t u dx ≤C |∂j t ρ|2H 1 |∂k −j +1t f |2L 2+|∂k −j +1t (u ·∇u )|2L 2 +|∇∂k t u |2L 2.1428HYUNSEOK KIMUsing the continuity equation (1.2),we can also estimate I j,2as follows:I 1,2=− ρt 12|∂k t u |2 t dx =−d dt ρt 12|∂k t u |2dx + ∂2t ρ12|∂k t u |2dx =−d dt ρu ·∇ 12|∂k t u |2 dx + ∂t (ρu )·∇ 12|∂k tu |2dx ≤−d dt (ρu ·∇∂k t u )·∂k t u dx +C |∂t (ρu )|H 1|∇∂k t u |2L 2and similarlyI j,2=−d dt ∂j t ρ∂k −j t u t ·∂k t u dx + ∂j +1t ρ∂k −j t u t +∂j t ρ∂k −j +1t u t ·∂kt u dx ≤−d dt ∂j −1t (ρu )·∇ ∂k −j +1t u ·∂kt u dx +C |∂j t (ρu )|H 1|∇∂k −j +1t u |L 2+|∂j −1t (ρu )|H 1|∇∂k −j +2t u |L 2 |∇∂kt u |L 2for 2≤j ≤k .Substituting all the estimates into (3.8),we have12 ρ|∂k +1t u |2dx +12d dt|∇∂k t u |2dx ≤d dt ⎛⎝k j =1k !j !(k −j )!∂j t ρ∂k −j t (f −u ·∇u )·∂k t u −(ρu ·∇∂k t u )·∂k t u ⎞⎠dx −d dt kj =2k !j !(k −j )!∂j −1t(ρu )·∇ ∂k −j +1t u ·∂kt u dx+Ck −1 j =1|∂jt (ρu )|2H 1+|∂j +1t ρ|2H 1|∂k −j t f |2H 1+|∂k −jt (u·∇u )|2H 1+|∂k −j +1t u |2D 1+C |∂k +1t ρ|2L 2|f |2H 1+|u |2D 10∩D 2+C 1+|∂t ρ|2H 1 |∂k t f |2L 2+|∂k t (u ·∇u )|2L2 +C |∂k t (ρu )|2H 1+C 1+|∂t (ρu )|2H 1+|∇∂t u |2L 2 |∇∂k t u |2L 2.Hence,integrating this in time over (t 0,T )and using (3.3),(3.5),(3.6),and (3.7)together with the estimates|∂j t ρ||∂k −j t (f −u ·∇u )||∂k t u |dx≤η−1|∂j t ρ|2H 1|∂k −j t (f −u ·∇u )|2L 2+η|∇∂k t u |L 2,ρ|u ||∇∂k t u ||∂k t u |dx ≤η−3C |ρ|3L ∞|∇u |4L 2|√ρ∂k t u |2L 2+η|∇∂k t u |2L 2and|∂j −1t (ρu )||∇∂k −j +1t u ||∂kt u |+|∂k −j +1t u ||∇∂kt u |dx≤η−1C |∂j −1t (ρu )|2H 1|∇∂k −j +1tu |2L 2+η|∇∂kt u |L 2,NONHOMOGENEOUS NAVIER–STOKES EQUATIONS1429 whereηis any small positive number,we deduce thatTt0|√ρ∂k+1tu(t)|2L2dt+|∇∂k t u(T)|2L2≤CΦk(T)20m+CTt01+|∂t(ρu)(t)|2H1+|u t(t)|2D1|∇∂k t u(t)|2L2dtfor t0≤T<T∗.Note thatT t01+|∂t(ρu)(t)|2H1+|u t(t)|2D1dt≤CΦk(T)10m.Therefore,in view of Gronwall’s inequality,we conclude that T0|√ρ∂k+1tu(t)|2L2dt+sup0≤t≤T|∂k t u(t)|2D1≤C expCΦk(T)10m(3.9)for any T with t0≤T<T∗.3.3.Estimates for ess sup0≤t≤T|√ρ∂k+1tu(t)|L2andT|∂k+1tu(t)|2D1dt.From the momentum equation(1.1),it follows thatρ∂k+1tut+ρu·∇∂k+1tu−Δ∂k+1tu+∇∂k+1tp=∂k+1t(ρf)+ρ∂k+1tu t−∂k+1t(ρu t)+ρu·∇∂k+1tu−∂k+1t(ρu·∇u).Multiplying this by∂k+1tu and integrating overΩ,we have1 2ddtρ|∂k+1tu|2dx+|∇∂k+1tu|2dx=∂k+1t(ρf)·∂k+1tu dx+ρ∂k+1tu t−∂k+1t(ρu t)·∂k+1tu dx(3.10)+ρu·∇∂k+1tu−∂k+1t(ρu·∇u)·∂k+1tu dx.This identity can be derived rigorously by using a standardfinite difference method because if0<T<T∗,then∂m tρ∈L2(0,T;L32∩L2)and∂j tρ∈C([0,T];L32∩L∞) for0≤j<m.Thefirst term of the right-hand side in(3.10)is bounded byCkj=0|∂j tρ||∂k−j+1tf||∂k+1tu|dx+|∂k+1tρ||f||∂k+1tu|dx≤Ckj=0|∂j tρ|2H1|∂k−j+1tf|2L2+C|∂k+1tρ|2L2|f|2H1+16|∇∂k+1tu|2L2.In view of the continuity equation(1.2),we can rewrite the second term as−k+1j=1(k+1)!j!(k−j+1)!∂j tρ∂k−j+1tu t·∂k+1tu dx=−k+1j=1(k+1)!j!(k−j+1)!∂j−1t(ρu)·∇∂k−j+2tu·∂k+1tudx,1430HYUNSEOK KIM which is bounded byC|ρ|L∞|u|2D10∩D2|√ρ∂k+1tu|2L2+Ckj=1|∂j t(ρu)|2H1|∂k−j+1tu|2D1+16|∇∂k+1tu|2L2.Finally,the last term is bounded byCkj=1|∂j t(ρu)||∇∂k−j+1tu||∂k+1tu|dx+|∂k+1t(ρu)||∇u||∂k+1tu|dx≤Ckj=1|∂j t(ρu)|2H1+|∂j tρ|2H1|u|2D1∩D2|∂k−j+1tu|2D1+C|∂k+1tρ|2L2|u|4D1∩D2+C|ρ|L∞|u|2D1∩D2|√ρ∂k+1tu|2L2+1|∇∂k+1tu|2L2.Hence substituting these estimates into(3.10),we haved dtρ|∂k+1tu|2dx+|∇∂k+1tu|2dx≤C1+|u|2D1∩D2|√ρ∂k+1tu|2L2+Ckj=0|∂j tρ|2H1|∂k−j+1tf|2L2+C|∂k+1tρ|2L2|f|2H1 +Ckj=1|∂j t(ρu)|2H1+|∂j tρ|2H1|u|2D1∩D2|∂k−j+1tu|2D1+C|∂k+1tρ|2L2|u|4D1∩D2.Therefore,by virtue of(3.5),(3.6),(3.7),and(3.9),we conclude thatess sup0≤t≤T |√ρ∂k+1tu(t)|L2+T|∂k+1tu(t)|2D1dt≤C expCΦk(T)10m(3.11)for any T with t0≤T<T∗.3.4.Estimates for sup0≤t≤T|∂j t u(t)|D10∩D2k−2j+2with0≤j≤k.Toderive these estimates,we observe that∂j t u∈C([0,T∗);D10,σ)and−Δ∂j t u+∇∂j t p=∂j t(ρf−ρu·∇u−ρu t) (3.12)for each j≤k.From(3.5),(3.6),(3.9),and(3.11),it follows easily thatess sup0≤t≤T|∂k t(ρu·∇u)(t)|L2+|∂k t(ρu t)(t)|L2≤C expCΦk(T)10mfor t0≤T<T∗.Hence applying the regularity theory of the Stokes equations to (3.12)with j=k,we obtainsup 0≤t≤T |∂k t u(t)|D1∩D2≤C expCΦk(T)10mfor t0≤T<T∗.It also follows from the Stokes regularity theory that for0≤j<k,|∂j t u|D10∩D2k−2j+2≤C|∂jt(ρf−ρu·∇u−ρu t)|H2k−2j+C|∂j t u|D1.(3.13)。
Arrhenius equation - Wikipedia

Where
k is the rate constant T is the absolute temperature (in kelvin) A is the pre-exponential factor, a constant for each chemical reaction that defines the rate due to frequency of
Arrhenius equation
Contents
1 2 3 4 Equation Arrhenius plot Modified Arrhenius' equation Theoretical interpretation of the equation 4.1 Arrhenius' Concept of Activation Energy 4.2 Collision theory 4.3 Transition state theory 4.4 Limitations of the idea of Arrhenius activation energy See also References Bibliography External links
frequency factor
attempt frequency
Given the small temperature range kinetic studies occur in, it is reasonable to approximate the activation energy as being independent of the temperature. Similarly, under a wide range of practical conditions, the weak temperature dependence of the pre-exponential factor is negligible compared to the temperature dependence of the factor; except in the case of "barrierless" diffusion-limited reactions, in which case the pre-exponential factor is dominant and is directly observable.
求解NavierStokes方程的混合有限元方法

中国科学技术大学硕士学位论文求解Navier-Stokes方程的混合有限元方法姓名:严明申请学位级别:硕士专业:计算数学指导教师:韩厚德20080401求解Navier-Stokes方程的混合有限元方法作者:严明学位授予单位:中国科学技术大学1.会议论文王定标.魏新利.董其伍.刘敏珊.郭茶秀.吴金星纵流式换热器CFD技术研究与应用2004针对目前弓形折流板管壳式换热器采用分布阻力、容积多孔度等概念来计算壳程流体流动的方法,根据纵流式换热器的结构特点和流动特点,探讨了大型纵流式换热器数值模拟的简化计算问题,提出了几何原型周期段模型和四管模型,以解决大型纵流式换热器数值模拟问题;基于粘性流体力学基本方程,建立了流体流动和传热的数学模型;采用Galerkin有限元法,利用算子分裂思想,推导出离散化方程组。
并应用本文提出的简化计算法,对制作的纵流式换热器的热模实验装置在不同结构参数时的流动与传热进行了数值模拟计算;将数值模拟解和实验测量值进行比较,误差控制在20%以下,两者基本吻合,验证了本文的数值计算理论的正确性,为纵流式换热器的结构优化设计和开发新颖换热器提供了依据。
2.学位论文郑奕胶印机墨色控制装置油墨流体动力学及系统结构有限元数值模拟分析研究1998该文主要采用计算机辅助工程分析对胶印机输墨装置进行系统的深入研究.文章以粘性流体力学和有限元法理论为基础,应用ANSYS有限元分析软件,通过对胶印机输墨装置建立系统模型的方法进行结构分析及性能分析,找出设计的薄弱环节,提出改进意见,用理论指导设计.文章着重对输墨装置中油墨流场的分布进行有限元数值模拟分析.通过对油墨流场的定量计算,深入讨论了影响油墨压力的因素.3.学位论文庄俭微注塑成型充模流动理论与工艺试验研究2007采用微注塑成型技术成型的微塑件具有质量轻、体积小、抗腐蚀及绝缘性能好、尺寸一致性好、成型效率高等优点,在航空航天、精密仪器、生物与基因工程、医药工程、信息通讯、环境工程和军事等领域,有着广阔的应用前景。
Finding community structure in networks using the eigenvectors of matrices

M. E. J. Newman
Department of Physics and Center for the Study of Complex Systems, University of Michigan, Ann Arbor, MI 48109–1040
We consider the problem of detecting communities or modules in networks, groups of vertices with a higher-than-average density of edges connecting them. Previous work indicates that a robust approach to this problem is the maximization of the benefit function known as “modularity” over possible divisions of a network. Here we show that this maximization process can be written in terms of the eigenspectrum of a matrix we call the modularity matrix, which plays a role in community detection similar to that played by the graph Laplacian in graph partitioning calculations. This result leads us to a number of possible algorithms for detecting community structure, as well as several other results, including a spectral measure of bipartite structure in neteasure that identifies those vertices that occupy central positions within the communities to which they belong. The algorithms and measures proposed are illustrated with applications to a variety of real-world complex networks.
自适应网格下齐次奇异摄动问题的一致收敛性分析

本文考虑如下的齐次奇异摄动两点边界值问题:
f u ) = 一 ( T : z)一 a( u ( z) ) ∈ ( 1 O, )
1o一 ห้องสมุดไป่ตู้ )0 (
( 一 1 1 )
() 1
式 中:<e 1 是一个小 的正参数.假设 a ∈ O 《 , ()
() 2
作者简介: 孙力楠 (93)女 , 18-, 河南新 乡人 。 讲师.
选取 I ( m≥2作为控制 函数 , I 其中 U ) 对问题 () 1 的一阶迎风格式进行 收敛性分析 , 但此控制函数等 分布下的网格点就无法满足求解非齐次奇异摄动边
兰 州 理 工 大 学 学 报
whc sa l e rc mbn t n o o sa tf o n o ro h is eia ieo h o u in ih wa i a o ia i fac n t n l ra d ap we ft ef td rv tv ft es lto .Th n o o r e c n e g n eo h o g n u ig lrp ru b t n b u d r au r b e wa n l z dwi hsa a - o v r e c f eh mo e o ssn ua e t r ai o n ay v l ep o lm sa ay e t t i d p t o h tv rd ieg i.Th x r mu p i cp ewa s d t r v h xse c n nq e e so h o u in fis ee te m rn i l s u e o p o e t e e it n ea d u iu n s ft e s l t so t o ds r t r b e ice ep o lm.Th r o f h u rc l ou in a dt ep e e s n a tr oa inf rt en me i ee r ro en me i lto n h icwiel e ri ep lto o h u r— t a s i n c ls l t n o h ice ep o lm r s i td a ou i ft eds r t r b e we ee t o ma e .Fial nl y。af s- r e ro o n n e e d n ft e£ i to d re r rb u d id p n e t h r o wa e v d r s e t ey I s dfiut t ov h ig lr p ru b to r b e wi h nf r sd r e e p c i l . t wa i c l o s l e t e sn ua e t r a in p o lm t t e u io m i v f h g is u yu ig t emeh d p e e td t i i iu t se fciey s l e I ss o yan me i rd ,b tb sn h t o r s n e hsdf c l wa fe tv l ov d twa h wn b u r— f y . a a l h tt et e r t a n l sswa ai c l x mp et a h h o e i 1a ay i sv l e c . d Ke r s ig lrp r u b t n d p ieg i ;u wid sh me ro si t y wo d :sn u a e t r a i ;a a tv rd p n c e ;e r re tmae o
大学物理英文版PPT

Elastic mechanics
When a force is applied to an object, it may under deformation If the force is removed, the object returns to its original shape and size, the deformation is said to be elastic
Polarization refers to the direction of these movements within the plane perpendicular to the direction of promotion
Polarization is a property of electrical waves and is observed in both natural and artistic sources of light
Angular Momentum
Angular Momentum is the rotational equivalent of linear momentum It is defined as the product of an object's mass and its angular velocity, and it is conserved in closed systems
要点一
要点二
Magnetic induction intensity
The magnetic induction intensity or magnetic field strength is the magnet of the magnetic field at a given point in space
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214
数学研究
2001 年
problems , higher- order equat ions, and the relations between the taditional SHishkin type meshes( denoted as S- mech , which use = O ( ln N ) as the transition point ) and a non - traditional Shishkin type mesh ( denoted as A- mesh , which use = O( | ln | ) as the transiition point). To the best knowledgeof the author , there exist very few results for solving SPP by using mixed FEM (MFEM )[ 14] . Also there are fewer results related to the A - mesh[ 2, 9, 29, 14] compared to the results based on the S - mesh[ 8, 12, 13, 16, 26] et c. More references for S - mesh can be found in[ 18, 23, 21, 13] . Though Roos claimed that the differences betwwen A- mesh and S - mesh seem in practice to be not important[ 21, P. 304] , there is no detailed comparison between these two type meshes up to now . Re cently the author found that both meshes perform very similarly in both the theoret ical error est imates and the numerical results for solving some two- dimensional singularly perturbed problems by using standard FEM and mixde methods [ 14] . Since A - mesh separates the boundary layers totally from other subre gions, the error estimates for the A - mesh only require the derivative estimates of the analytic solut ion , while the error analysis on the S- mesh have to resort to some nice but hardly proved Shishkin type de compositions [ 18, 23, 21, 16] or the equivalently asymptotic expansions[ 12, 13] In this paper , we extend the techniques of [ 14] to solve some one - dimensional problems by using MFEM. For simplicity we only present the analysis for a fourth- order problem [ 26, 22] on both the Smesh and the A- mesh , and steady [ 25] and non - steady semilinear problems [ 31, 5] on the A - mesh . By introducing a novel interpolation on the m - th ( m 1) order polynomial spaces, we obtain the opti mal uniform convergence rates in the L 2 - norm for the above mentioned problems . The results obtained show that it is much easier to obtain the error estimates on the A - mesh than on the S- mesh. However , the estimates obtained on both meshes are very similar , which justifies the comjecture of Roos[ 21] . Exten sions of the techniques to other models are straightforward, details will be discussed in our forthcoming pa per . The organization of the paper is as follows: in Section 2 we discuss a fourth - order problem on the A - mesh, ! 3 is devoted to a semilinear problem , a nonsteady semilinear problem is investigated in ! 4, in the last section we present the analysis of the fourth- order problem on the S - mesh. Throughout the paper , we denote = (0, 1) and = [ 0, 1] , C will denote a generic positive con stant , which is independent of the mesh and the perturbat ion parameter 0 < 1. We use the notation ∀ # ∀k , ! and | #| k , ! for the standard Sobolev space H ( !) ( or H 0(!)) norm and semi- norm on any
norm is presented for solving singularly perturbed problems by using an arbitrary order mixed finite element meth od on some Shishkin type meshes[ 21, 23, 19, 18] . The generality of our techniques is showed by investigations of a fourth - order problem, steady and non - steady semilinear problems . The results show that the error estimates on the non - traditional Shishkin type mesh are much easier to prove than on the tradition Shishkin type mesh. However, both meshes g ive comparable error estimates , which justifies the conjecture of Roos[ 21] . Key words finite element method; singular perturbed problem ; optimal uniform convergence. CLC number
O 241. 82
there was great interest shown in the investigation of numerical methods for singularly per turbed problems( SPP)[ 18, 23, 19] . Singular perturbation problems arise in many application areas, such as in chemical kinetics, fluid dynamics, system control[ 18, 23, 19] and thin plate and shell modeling [ 3, 4] etc . Such problems usually undergo rapid changes within very thin layers near the boundary or inside the problem domain. Such sharp transit ions require very fine meshes globally (which is very inefficient) or locally to resolve the boundary layers. T he challenging SPP[ 19, 20, 21] serve frequently as test models for new algorithms, e . g . . in multigrid methods[ 10, Ch. 10] , domain decompositi on methods([ 9, 11] and many papers in the proceedings of Domain Decomposition Methods) and adaptive methods[ 1, 20, 28, 24] . More details can be found in the above mentioned papers and references therein. Recent applicat ion of Shishkin type meshes to solve SPP by using both the finite different method and finite element method( FEM ) [ 18, 23, 21, 12, 13, 16, 2, 29] has shown surprising . results: the piece wise uniform Shishkin type meshes are very easy to implement and achieve global uniform convergence ( in dependent of the small perturbation parameter ), which is very important and interesting in many areas [ 28, 4, 27] Though significant progress has been made , many unsolved problems remain as described in the most recent survey by Roos[ 21] , such as the use of finite element techniques to derive opt imal esti mates for FEM on Shishkin meshes in both the L and L 2 norms, higher- order finite elements, nonlinear