Nonexistence of solutions in $(0,1)$ for K-P-P-type equations for all $dge 1$

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半线性椭圆方程

半线性椭圆方程

µ − a + β . K•§ (0.12) – k˜‡
ë•©zµ [1] L. Caffarelli, R. Kohn, L. Nirenberg, First order interpolation inequality with weights, Compos. Math. 53 (1984) 259–275. [2] K. Chou, C. Chu, On the best constant for a weighted Sobolev–Hardy inequality, J. Lond. Math. Soc. (2) 48 (1993) 137–151. [3] F. Catrina, Z. Wang, On the Caffarelli-Kohn-Nirenberg inequalities: Sharp constants, existence (and nonexistence), and symmetry of external functions, Comm. Pure Appl. Math. 54 (2) (2001) 229–258. [4] X.J. Huang, X.P. Wu, C.L. Tang, Multiple positive solutions for semilinear elliptic equations with critical weighted Hardy-Sobolev exponents, Nonlinear Anal. 74 (2011) 2602–2611 [5] L. Ding, C.L. Tang, Existence and multiplicity of positive solutions for a class of semilinear elliptic equations involving Hardy term and Hardy-Sobolev critical exponents, J. Math. Anal. Appl. 339 (2008) 1073–1083. [6] L. Huang, X.P. Wu, C.L. Tang, Existence and multiplicity of solutions for semilinear elliptic equations with critical weighted Hardy-Sobolev exponents, Nonlinear Anal. 71 (2009) 1916–1924. [7] P. H. Rabinowitz. Minimax methods in critical point theory with applications to differential equations, Conference Board of the Mathematical Sciences, vol. 65 Providence, RI: American Mathematical Society, 1986. [8] W. Rudin, Real and Complex Analysis, 3rd ed., McGraw-Hill, New York, 1987. [9] H. Brezis, L. Nirenberg, Positive solutions of nonlinear elliptic equations involving critical Sobolev exponents, Comm. Pure Appl. Math. 36 (4) (1983) 437–477. [10] D. Kang, G. Li, S. Peng, Positive solutions and critical dimensions for the elliptic problems involving the Caffarelli-Kohn-Nirenberg inequalities, J. Jilin. Univ. Sci. 46 (2008) 423–427.

华章数学译丛 微分方程与边界值问题 英文

华章数学译丛 微分方程与边界值问题 英文

Illustrator:Jade Myers,Matrix Cover Designer:Larry Didona Cover Image:© Getty Images Compositor:ICC Macmillan Inc.the United Kingdom,Australia,Mexico,Brazil,and Japan. your local office at /region. Cengage Learning products are represented in Canada by Nelson Education,Ltd.1INTRODUCTION TO DIFFERENTIALEQUATIONS1.1Definitions and Terminology1.2Initial-Value Problems1.3Differential Equations as Mathematical ModelsCHAPTER 1 IN REVIEWThe words differential and equations certainly suggest solving some kind ofequation that contains derivatives yЈ, yЉ, . . . . Analogous to a course in algebra andtrigonometry, in which a good amount of time is spent solving equations such asx2ϩ5xϩ4 ϭ0 for the unknown number x, in this course one of our tasks will beto solve differential equations such as yЉϩ2yЈϩyϭ0 for an unknown functionyϭ␾(x).The preceding paragraph tells something, but not the complete story, about thecourse you are about to begin. As the course unfolds, you will see that there is moreto the study of differential equations than just mastering methods that someone hasdevised to solve them.But first things first. In order to read, study, and be conversant in a specializedsubject, you have to learn the terminology of that discipline. This is the thrust of thefirst two sections of this chapter. In the last section we briefly examine the linkbetween differential equations and the real world. Practical questions such as Howfast does a disease spread? How fast does a population change?involve rates ofchange or derivatives. As so the mathematical description—or mathematicalmodel—of experiments, observations, or theories may be a differential equation.1A DEFINITION The equation that we made up in (1) is called a equation.Before proceeding any further, let us consider a more precise definition of this concept.DEFINITION 1.1.1Differential Equationdent variables. For example, with the subscript notation the second equation in (3)becomes u xxϭu ttϪ2u t.CLASSIFICATION BY ORDER The order of a differential equationODE or PDE) is the order of the highest derivative in the equation. For example,acteristic two properties of a linear ODE are as follows:•The dependent variable y and all its derivatives yЈ, yЉ,first degree, that is, the power of each term involving•The coefficients a0, a1, ..., a n of y,yЈ, ..., y(n)depend at most on theVerify that the indicated function is a solution of the given differential equation on the interval (Ϫϱ, ϱ).x4(a)(b)yЉϪ2yЈϩdy>dxϭxy1/2;yϭ116which the dependent variable is expressed solely in terms of the independent is not the same as the solution yϭ1͞xvariable and constants is said to be an explicit solution.For our purposes, let usthink of an explicit solution as an explicit formula yϭ␾(x) that we can manipulate,evaluate, and differentiate using the standard rules. We have just seen in the last twoexamples that , yϭxe x, and yϭ1͞x are, in turn, explicit solutionsyϭ1x4FAMILIES OF SOLUTIONS The study of differential equations is similar to that of integral calculus. In some texts a solution ␾is sometimes referred to as an of the equation, and its graph is called an integral curve.derivative or indefinite integral in calculus, we use a single constant Analogously, when solving a first-order differential equation x 5piecewise-defined function.EXAMPLE 5 A Piecewise-Defined Solutionin this form that tells us which symbol denotes the dependent variable. See Problems 9 and 10 in Exercises 1.1.(iv) It might not seem like a big deal to assume thatbe solved for y(n), but one should be a little bit careful here. There are exceptions,In Problems 9 and 10 determine whether the given first-order differential equation is linear in the indicated dependent variable by matching it with the first differential equation given in (7).23.d 3y d 2y dy d 2ydx 2Ϫ4 dy dx ϩ4y ϭ0;y ϭc 1e37.38.d 2yϭ4x Ϫe t ; dyϭ5x ϩ3y ;d 2xdt 2ϭ4y ϩe tdxdt ϭx ϩ3y11tion is equivalent to (4) whenever both forms have exactly the same solutions. Make up a first-order differ-ential equation for which F(x,y,yЈ)ϭ0 is not equiva-lent to the normal form dy͞dxϭf(x,y).58.Consider the differential equation(a)Explain why there exist no constant solutions ofthe DE.(b)Describe the graph of a solutionandS ubject to :y (x 0)ϭy 0, y ЈS olve :d 2ydx2 ϭ f (x , yS ubject to :y (x 0)ϭy 0FIGURE 1.2.1Solution ofxI( x 0 , y 0)yFigure 1.2.4(a), the largest intervals on which yϭ1͞are (Ϫϱ,Ϫ1), (Ϫ1, 1), and (1,ϱ).•Considered as a solution of the initial-value problem yy(0)ϭϪ1, the interval I of definition of yϭ1͞(x2Ϫwhether a solution exists and,when it does,whether it lem.Since we are going to considerfirst-order differential chapters,we state here without proof a straightforward that are sufficient to guarantee the existence and uniqueness initial-value problem of the form given in(2).We shalltaining x0, but it is the only solution satisfying y(x0)ϭy0. However, Theorem 1.2.1 does not give any indication of the sizes of intervals I anddefinition need not be as wide as the region R, and the interval Iuniqueness may not be as large as I.The number hϾ0 that defines theI0:(x0Ϫh, x0ϩh) could be very small, so it is best to think that the solution9.10.In Problems 11–14, y ϭc 1e x ϩc 2e Ϫx is a two-parameter family of solutions of the second-order DE y ЉϪy ϭ0. Find x (␲>4)ϭ12, x Ј(␲>4)ϭ212x (␲>6)ϭ2,x Ј(␲>6)ϭ0satisfies the condition this function is also a solution of the initial-value problem in part (a).problem and give its interval I of definition.Are there any explicit solutions of y dy͞dxϭ3xthat pass through the origin?Problems35–38the graph of a member of a family5have the same domain but are clearly different. See Figures 1.2.12(a) and 1.2.12(b), respectively. Show that both functions are solutions of the initial-value problemΆ16 x , x Ն0and time t is measured in years. How fast—that is, atwhat rate—is the population increasing at fast is the population increasing when the populationis 500?sumptions about the mechanisms for change in the system. The steps of the model-ing process are then repeated, as shown in the following diagram:Assumptions Express assumptions in terms of differential equationsdescribes the growth of capital S when an annual rate of interest continuously. The model (2) for decay also occurs in biological applications such as determining the half-life of a drug—the time that it takes for 50% of a drug to be eliminated from a body by excretion or metabolism. In chemistry the decay model (2) appears in the mathematical description of a first-order chemical reaction. Thedecreasing. An example of a first-order chemical reaction is the conversion of chloride, (CH3)3CCl, into t-butyl alcohol, (CH3)3COH:(CH3)3CClϩNaOH:(CH3)3COHϩNaCl.Only the concentration of the t-butyl chloride controls the rate of reaction. But in theThe net rate (7) then becomesdA dt ϭ6ϪA100or dAdtϩequationL d 2q dt 2ϩR dq dt ϩ1C q ϭE (t ).(b)(b)Cequating the net force to this form of Newton’s second law,differential equation for the velocity v (t ) of the body at time .mdv ϭmg Ϫkvtion?What are some of the properties of the unknown solutions?about the geometry of the solution curves?Such an approachFinally,if a differential equation cannot be solved by analyticalcan prove that a solution exists,the next logical query is Canmate the values of an unknown solution?Here we enter the(a)analytical(c)numerical Different approaches to the study of differential equationsare the vertical position of the rock above ground and its velocity at time respectively. The acceleration sЉ(t) is not a state variable, since we have to know only any initial position and initial velocity at a timethe rock’s position s(t) and velocity sЈ(t)ϭv(t) for any time in the interval t0ՅtՅT.The acceleration sЉ(t)ϭa(t) is, of course, given by the differentialby assuming that the large tank initially contains number of gallons of brine, r in and output rates of the brine, respectively (measured in gal-lons per minute), c in is the concentration of the salt in T m (t )120between the barrel and the water.Es/2RFIGURE 1.3.13LR series circuit in Problem 150use Newton’s second law and his universal law of gravita-tion to find a differential equation for the distance r.satellite ofmass my(0, s)(x, y)model of human population P(t) of a certain commu-nity. Discuss an interpretation for the solution of this equation. In other words, what kind of population do you think the differential equation describes?where s is the distance from the surface of the Earth to the falling body. What does the differential equation obtained in Problem 21 become whencomparison to R? [HintIn Problems 5 and 6 compute y Јand y Љand then combine these derivatives with y as a linear second-order differential 1cosh kx ϩc 2 sinh kx )ϭ19.Given that y ϭx Ϫ2͞x is a solution of the DE y ϭ2x.Find x 0and the largest interval a solution of the first-order IVP xy 20.Suppose that y (x ) denotes a solution of the first-orderIVP y Јϭx 2ϩy 2, y (1)ϭϪ1 and thatFIGURE 1.R.1Graph for Problem 31。

如何解决科技问题英文作文

如何解决科技问题英文作文

如何解决科技问题英文作文英文:As a technology enthusiast, I often encounter various tech problems in my daily life. Whether it's a glitch in my smartphone, a software issue on my computer, or a connectivity problem with my smart home devices, I've learned a few effective ways to solve these issues.First and foremost, when I encounter a tech problem, I always try to troubleshoot it myself. This could involve simple steps like restarting the device, checking for software updates, or resetting the network connection. For example, if my smartphone freezes, I would try to force restart it by holding down the power button and the volume button. This often resolves the issue without having to seek external help.If troubleshooting on my own doesn't work, I turn to online resources for help. There are countless forums,blogs, and websites dedicated to tech support where people share their experiences and solutions to various tech problems. For instance, when I encountered a strange error message on my computer, I searched online and found a forum where someone had experienced the same issue and provided a step-by-step guide to resolve it.In some cases, when the problem is beyond my understanding, I seek help from tech support professionals. This could be through the customer service hotline, live chat support, or even visiting a tech store for in-person assistance. I remember once when my smart home device was not connecting to the Wi-Fi, I contacted the manufacturer's customer service and they guided me through a series of troubleshooting steps which eventually solved the problem.In addition to these methods, I also make sure to stay updated with the latest tech news and developments. This helps me anticipate and prevent potential tech problems before they even occur. For example, when I heard about a security vulnerability in a certain software I was using, I immediately updated it to the latest version to ensure mydata and privacy were protected.Overall, solving tech problems requires a combinationof patience, resourcefulness, and willingness to seek help when needed. By being proactive and staying informed, I've been able to overcome various tech issues and continue to enjoy the benefits of technology in my daily life.中文:作为一个科技爱好者,我在日常生活中经常遇到各种技术问题。

极值原理和移动平面法

极值原理和移动平面法
¯ Ω ∂Ω
ii) If − u(x) ≤ 0, x ∈ Ω, then max u ≤ max u.
¯ Ω ∂Ω
this result can be extended to general uniformly elliptic operators. Let Di = Define L=−
ij
∂ ∂2 , Dij = . ∂xi ∂xi ∂xj bi (x)Di + c(x).
3
Theorem 4 (Strong Maximum Principle for L with c(x) ≥ 0) Assume that Ω is an open, bounded, and connected domain in Rn with smooth boundary ¯ . Assume that c(x) ≥ 0 in Ω. ∂ Ω. Let u be a function in C 2 (Ω) ∩ C (Ω) i) If Lu(x) ≥ 0, x ∈ Ω, then u can not attain its non-positive minimum in the interior of Ω unless u is constant. ii) If Lu(x) ≤ 0, x ∈ Ω, then u can not attain its non-negative maximum in the interior of Ω unless u is constant. We will prove these Theorems in Section 3 by using the Hopf Lemma. Notice that in the previous Theorems, we all require that c(x) ≥ 0. Roughly speaking, maximum principles hold for ‘positive’ operators. − is positive, and obviously so does − + c(x) if c(x) ≥ 0. However, as we will see in the next chapter, in practical problems it occurs frequently that the condition c(x) ≥ 0 can not be met. Do we really need c(x) ≥ 0? The answer is ‘no’. Actually, if c(x) is not ‘too negative’, then the operator ‘- + c(x)’ can still remain ‘positive’ to ensure the maximum principle. These will be studied in Section 4, where we prove the ‘Maximum Principles Based on Comparisons’. ¯ satisfying Let φ be a positive function on Ω − φ + λ(x)φ ≥ 0. Let u be a function such that − u + c(x)u ≥ 0 x ∈ Ω u≥0 on ∂ Ω. Theorem 5 Assume that Ω is a bounded domain. If c(x) > λ(x) , ∀x ∈ Ω, then u ≥ 0 in Ω. (2) (1)

THE EXISTENCE OF POSITIVE SOLUTIONS TO BOUNDARY VALUE PROBLEM OF SECOND ORDER DIFFERENTIAL EQUAT

THE EXISTENCE OF POSITIVE SOLUTIONS TO BOUNDARY VALUE PROBLEM OF SECOND ORDER DIFFERENTIAL EQUAT

10
No.1
J. Dai, et c., P OSITIVE SO LUTIONS TO BVP
11
2
Main Results
Th e fi xe d p oint in de x h as the followin g p rop erties.
Lemm a 1 Let K be a closed con vex set in a Banach space E , D be a boun ded open set such t hat D k := D ∩ K �= ∅ an d T : D k → K be a completely con tin uou s map . S uppose that x �= T x for all x ∈ ∂ D k . Then we obtai n the follow ing conclu sion s: (D1 )( Existen ce) if i ( T, D k , K ) �= 0 , th en T has a fixed poin t in D k ; (D2 )( Normalizat ion) if u 0 ∈ D k , t hen i( b u , D k , K ) = 1 , where b u( x ) = u 0 , for x ∈ D k ; (D3 )( Homot opy ) let h : [0 , 1] × D k → K be a complet ely cont inu ous map such that x �= h (t, x ) for x ∈ ∂ D k an d t ∈ [0 , 1] , then i( h (0 , · ) , D k , K ) = i (h (1 , · ) , D k , K ) . For fu rthe r in form ation on the classical fi xe d p oint in de x for comp letely c ontinuou s map s, see [7]. Now we state an d p rove a ne w fixe d p oint the orem in C 1 [0, 1] sp ace usin g th e p rope rtie s of th e fi xe d p oint in de x. Theorem 1 Let E = C 1 [0 , 1] be en dow ed w ith t he no rm � x� = max{� x � 0 , � x� � 0 } , wh ere � x � 0 = max | x ( t) | , an d P = { x ∈ E | x (t ) ≥ 0 , t ∈ [0 , 1] } be a co ne in E . S uppose

学术英语理工类课后题答案

学术英语理工类课后题答案

Reading: Text 11.Match the words with their definitions.1g 2a 3e 4b 5c 6d 7j 8f 9h 10i2. Complete the following expressions or sentences by using the target words listed below with the help of the Chinese in brackets. Change the form if necessary.1 symbolic 2distributed 3site 4complex 5identify6fairly 7straightforward 8capability 9target 10attempt11process 12parameter 13interpretation 14technical15range 16exploit 17networking 18involve19 instance 20specification 21accompany 22predictable 23profile3. Read the sentences in the box. Pay attention to the parts in bold.Now complete the paragraph by translating the Chinese in brackets. You may refer to the expressions and the sentence patterns listed above.ranging from(从……到)arise from some misunderstandings(来自于对……误解)leaves a lot of problems unsolved(留下很多问题没有得到解决)opens a path for(打开了通道)requires a different frame of mind(需要有新的思想)4.Translate the following sentences from Text 1 into Chinese.1) 有些人声称黑客是那些超越知识疆界而不造成危害的好人(或即使造成危害,但并非故意而为),而“骇客”才是真正的坏人。

Methods for non-linear least squares problems

Methods for non-linear least squares problems

Necessary Condition for a Local Minimizer x is a local minimizer =) g F 0(x ) = 0 xs is a Stationary Point () gs F 0(xs ) = 0
De nition. Local minimizer Find x so that F(x) F(x ) for kx ? x k <
(1.2)
The main subject of this booklet is the treatment of methods for a special kind of optimiziation problems where the function F has the following form
1 F(x+h) = F(x) + h> g + 2 h> H h + O(khk3) ; (1.4a) where g is the gradient, 2 @F (x) 3 6 @x1 7 6 .. 7 ; 6 g F 0(x) 6 . 7 (1.4b) 7 6 7 4 @F 5 @xn (x) and H is the Hessian matrix, @2F (1.4c) H F00 (x) @x @x (x) : i j If x is a local minimizer and khk is su ciently small, then we cannot nd a point x +h with a smaller F-value. Combining this observation with (1.4a) we see that
Thus, the local minimizers are also stationary points, but so are the local maximizers. A stationary point which is neither a local maximizer nor a local minimizer is called a saddle point. In order to determine whether a given stationary point is a local minimizer or not, we need to include the second order term in the Taylor series (1.4a). Inserting xs we see that

2010AMC12B中文版

2010AMC12B中文版

2010AMC12B中文版[ 2010-9-16 11:28:06 | By: zero ]难度逐题增加第一题:小明在一天内(9小时)参加了两个会议,第一个会议历时45分,第二个会议长度是第一个的两倍,求当日他参加会议时间占总时间的百分比第二题:一个L型图,左边长8,顶边长2,右边长2,下边长5,求面积.第三题:某校组织活动,每个学生都需要缴纳一定费用(X元钱)来参加,X为一个整数.现总共收到高一学生们的48元钱,收到高二学生们的64元钱,问X有几个值.第四题:在一个大月中,周一的数量和周三的数量相同,问该月的第一天有几种可能.第五题:a-(b-(c-(d+e)))=a-b-c-d+e,a=1,b=2,c=3,d=4,求e值。

第六题:在年初的调查中,某班全体同学有50%回答“我喜欢数学”,另外50%回答“我不喜欢数学”;在年终调查中该班同学有70%回答“我喜欢数学”,另外30%回答“我不喜欢数学”。

在年初和年终的调查中,改变回答的人占x%,试问X的最大值与最小值之差。

第七题:小明在普通公路上以20公里/小时的速度驾驶,在高速公路上则以30公里/小时的速度驾驶.他总共驾驶了40分钟,行进了16公里,试问他驶过的普通公路的总长度.第八题:某市所有学校都要送出三名选手参加某数学竞赛,在这次比赛中,每位选手的得分都不相同.某校学生A在该比赛中排名在正中间,他同时位列自己学校派出的三名选手中的第一位.其余两名选手B和C分别位列第37名和第64名,试问这所城市中有多少学校.第九题:n能被20整除,其平方的立方根是整数,其立方的平方根也是整数.试求符合要求的最小的n的值.第十题:1,2,3,4,5,6,...,99,x 是一组数,其平均数为100x,求x值.第十一题:试求在所有对称的四位数(例如3443,2112)中,能被7整除的数占所有数的比例.第十二题:解方程:log(2^(1/2),x^(1/2))+log(2,x)+log(4,x^2)+log(8,x^3)+log(16,x^4)=40 注:log(a,b)中a是底,b是数第十三题:在三角形abc中,cos(2a-b)+sin(a+b)=2 c所对的边长为2,求a所对的边长。

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a rX iv:mat h /59384v1[mat h.AP]16Sep25NONEXISTENCE OF SOLUTIONS IN (0,1)FOR K-P-P-TYPE EQUATIONS FOR ALL d ≥1J ´ANOS ENGL ¨ANDER AND P ´ETER L.SIMON Abstract.Consider the KPP-type equation of the form ∆u +f (u )=0,where f :[0,1]→R +is a concave function.We prove for arbitrary dimensions that there is no solution bounded in (0,1).The significance of this result from the point of view of probability theory is also discussed.1.Introduction and main result In this article we will investigate certain semilinear elliptic equations of the form ∆u +f (u )=0.Our assumption on the nonlinear term f (u )is as follows.Assumption 1.We assume that f :[0,1]→R is (i)continuous ,(ii)positive in (0,1)and (iii)z →f (z )/z is strictly decreasing.⋄Consider now the Kolmogorov Petrovskii Piscunov-type (KPP)equation ∆u +f (u )=0(1)0<u <1,in R d .(2)Theorem 1.Problem (1)-(2)has no solution for d ≥1.Semilinear elliptic equations of the form (1)have been widely studied.We men-tion here only two reviews [14,15],where the exact number of positive solutions with different nonlinearities are studied.In [14]the differential equation is consid-ered on a bounded domain,in [15]the equation is studied in the whole space R ,however,it is subject to the boundary condition u →0as |x |→∞.The case ofconcave f has also been studied by several authors.In [1]the assumption on f is similar to ours,however,the problem is given on a bounded domain with Dirichlet boundary condition.In that paper the existence and uniqueness of the positive solution is proved.Castro et al.studied the case of concave nonlinearities in a series of papers,see e.g.[2,3].In these works the problem is given on a bounded domain with Dirichlet boundary condition.A generalized logistic equation,with f (u )=mu −qu p is studied in [8]on a bounded domain with Dirichlet boundary condition again.2J´ANOS ENGL¨ANDER AND P´ETER L.SIMONSummarizing,we can say that our equation(1)has been widely studied,however, in the papers where it is considered in the whole space R,it is always subject to the boundary condition u→0as|x|→∞.In these publications the aim is to determine the exact number of the so-called fast and slow decay solutions.Hence according to the authors knowledge there is no result available concerning problem (1)-(2)under the assumptions given on f.Remark2(Low dimensions).Our theorem can be proved very easily for d≤2. To see this,recall that∆is a so-called critical operator in R d when d=1,2. Second order elliptic operators L with no zeroth order term are classified as being subcritical or critical according to whether the operator possesses or does not possess a minimal positive Green’s function.In probabilistic terms criticality/subcriticality is captured by the recurrence/transience of the corresponding diffusion process(see Chapter4in[12]).Another equivalent condition for L to be critical is that all positive functions h that are superharmonic(i.e.Lh≤0)are in fact harmonic(i.e.Lh≡0).(See again Chapter4in[12])Now,observe that(1)-(2)and the positivity of f on(0,1)implies(3)∆u=−f(u)<0in R d.By the above criterion for critical operators,this is impossible in dimension one or two.⋄The most important model case is the classical KPP equation,when(4)f(u):=βu(1−u)withβ>0.(In fact this particular nonlinearity is intimately related to the dis-tribution of a branching Brownian motion;see more on the subject in the next paragraph.)Here we present a proof of this result which is valid basically for con-cave functions.In fact,(iii)of Assumption1is related to the concaveness of the function.The connection between the KPP equation and branching Brownian motion has already been discovered by McKean—itfirst appeared in the classic work[10,11].Let Z=(Z(t))t≥0be the d-dimensional binary branching Brownian motion with a spatially and temporally constant branching rateβ>0.The informal description of this process is as follows.A single particle starts at the origin,performs a Brownian motion on R d,after a mean–1/βexponential time dies and produces two offspring,the two offspring perform independent Brownian motions from their birth location,die and produce two offspring after independent mean–1/βexponential times,etc.Think of Z(t)as the subset of R d indicating the locations of the particles z t1,...,z N t t alive at time t(where N t denote the number of particles at t).Write P x to denote the law of Z when the initial particle starts at x.The naturalfiltration is denoted by{F t,t≥0}.Then,as is well known(see e.g.Chapter1in[4]),the law of the process can be described via its Laplace functional as follows.If f is a positive measurable function,then(5)E x exp −N t i=1f(z t i) =1−u(x,t),NONEXISTENCE OF SOLUTIONS IN(0,1)FOR K-P-P-TYPE EQUATIONS FOR ALL d≥13 where u solves the initial value problem1˙u=:The function w:=v1−v2satisfies(7)∆w+f(v1)−f(v2)=0.We show that w≥0in D.Suppose to the contrary that there exists a point y∈D where w is negative.LetΩ0:={x∈D|w(x)<0}.LetΩbe the connected component ofΩ0containing y.Since w≥0on∂D,one hasΩ⊂⊂D and(8)w<0inΩw=0in∂Ω.Let us multiply the equation∆v1+f(v1)=0by w and equation(7)by v1,then subtract the second equation from thefirst,and integrate onΩ.Using that w= v1−v2one obtains(9)I+II:= Ω(w∆v1−v1∆w)+ Ω(v1f(v2)−v2f(v1))=0.4J´ANOS ENGL¨ANDER AND P´ETER L.SIMONUsing Green’s second identity and that w=0in∂Ωalong with the fact that ∂νw≥0on∂Ω,we obtainI=− ∂Ωv1∂νw≤0,whereνdenotes the unit outward normal to∂Ω.Furthermore,since v1<v2inΩ, using(iii)of Assumption1,we have that also II<0:v1f(v2)−v2f(v1)=v1v2 f(v2)v1 <0.It follows that the left hand side of(9)is negative,while its right hand side is zero. This contradiction proves that in fact w≥0in D. Remark4(Spatially dependent f’s).One can similarly prove the analogous more general result for the case,when f:D×[0,∞)→R is continuous in u and bounded in x,and u→f(x,u)/u is strictly decreasing.⋄Let f:[0,1]→R be a continuous function which is positive in(0,1).Based on ideas in[9]and using the comparison between the linear and the semilinear equations,we prove the following lemma.Lemma5(Radially symmetric solutions).Assume in addition that f satisfiesf(z)lim infz↓0:We show the existence of a radially symmetric solution of the form v(x)= V(|x−y|).Let V∈C2([0,∞))be the solution of the initial value problem (10)(r d−1V′(r))′+r d−1f(V(r))=0V(0)=p,V′(0)=0.(11)Writing∆in polar coordinates,one sees that it is sufficient to prove that there exists an R>0such that V(R)=0and V(r)>0for all r∈[0,R).To this end,consider the linear initial value problem(12)(r d−1W′(r))′+r d−1mW(r)=0(13)W(0)=p,W′(0)=0,where m>0is chosen so that f(u)>mu holds for all u∈(0,p).(Our assumptions on f guarantee the existence of such an m.)It is known that W has afirst root, which we denote byρ.Note that in this case−m is thefirst eigenvalue of the Laplacian on the ball Bρ.We now show that V has a root in(0,ρ].In order to do so let us multiply(12)by V and(10)by W,then subtract one equation from theNONEXISTENCE OF SOLUTIONS IN(0,1)FOR K-P-P-TYPE EQUATIONS FOR ALL d≥15 other,andfinally,integrate on[0,ρ].We obtainI+II:=ρ[(r d−1W′(r))′V(r)−(r d−1V′(r))′W(r)]d r+ρr d−1[mW(r)V(r)−W(r)f(V(r))]d r=0.(14)Suppose now that V has no root in(0,ρ].Then,integrating by parts,I=ρd−1W′(ρ)V(ρ)<0.Next,observe that by integrating(10),one gets V′(r)<0(i.e.V is decreasing). Hence V(r)<p,yielding mV(r)−f(V(r))<0.Therefore II,and thus the whole left hand side of(14)are negative;contradiction.This contradiction proves that V in fact has a root in(0,ρ]. Remark6(Spatially dependent f’s).When f depends also on x,our method breaks down as it is no longer possible to use ordinary differential equations to show the existence of a solution attaining a value close to one at a given point.There is one easy case though:it is immediately seen that if there exists a g(u), with f(x,u)≥g(u)and g(u)satisfies the conditions of Theorem1,then Theorem 1remains valid for f(x,u)as well.Indeed,we know that u min≥1,where u min is the minimal positive solution for the semilinear equation with g.Recall(see e.g.[6,7])that one way of constructing the minimal positive solution is as follows.One takes large balls B R(0),and positive solutions with zero boundary condition on these balls(in our case we know from [9]that there exist such positive solutions for arbitrarily large R’s),andfinally, lets R→∞;using the monotonicity in R that follows from the semilinear elliptic maximum principle(Lemma3),the limiting function exists and positive.It is standard to prove that it solves the equation on the whole space,and by Lemma3 again it must be the minimal such solution.Now suppose that0<v solves the semilinear equation with f(x,u).Then v is a supersolution:0≥∆v+g(v);hence by the above construction of u min and by an obvious modification of the proof of Lemma3,v≥u min≥1.The general case is harder.For example,when f(x,u):=β(x)(u−u2)andβis a smooth nonnegative bounded function,the mere existence of positive solutions on large balls is no problem as long as the generalized principal eigenvalue of∆+βon R d is positive.(The method in[13],pp.26-27goes through for f(x,u):=β(x)(u−u2)even thoughβis constant in[13].)The problematic part is to show that the solution is large at the center of the ball.⋄Proof of Theorem16J´ANOS ENGL¨ANDER AND P´ETER L.SIMONReferences[1]Brezis,H.,Oswald,L.Remarks on sublinear elliptic equations.Nonlinear Anal.10(1986),no.1,55–64.[2]Castro,A.,Gadam,S.,Shivaji,R.Positive solution curves of semipositone problems withconcave nonlinearities.Proc.Roy.Soc.Edinburgh Sect.A127(1997),no.5,921–934. [3]Castro,Alfonso;Shivaji,R.Positive solutions for a concave semipositone Dirichlet problem.Nonlinear Anal.31(1998),no.1-2,91–98.[4]E.B.Dynkin,Diffusions,superdiffusions and partial differential equations,Amer.Math.Soc.,Providence,RI,2002.[5]Engl¨a nder,J.and Kyprianou,A.E.Local extinction versus local exponential growth forspatial branching processes,Ann.Probab.32,No.1A,(2004)78–99.[6]Engl¨a nder,J.and Pinsky,R.On the construction and support properties of measure-valueddiffusions on D⊂R d with spatially dependent branching,Ann.Probab.27,No.2,(1999) 684–730[7]Engl¨a nder,J.and Pinsky,R.Uniqueness/nonuniqueness for nonnegative solutions of second-order parabolic equations of the form u t=Lu+V u−γu p in R n,J.Differential Equations 192(2003),396–428.[8]Hern´a ndez,J.Positive solutions for the logistic equation with unbounded weights.Reactiondiffusion systems(Trieste,1995),183–197,Lecture Notes in Pure and Appl.Math.,194, Dekker,New York,1998.[9]Kar´a tson,J.;Simon,P.L.Bifurcations for semilinear elliptic equations with convex nonlin-earity,Electron.J.Differential Equations43(1999),16pp.(electronic).[10]H.P.McKean,Application of Brownian motion to the equation of Kolmogorov-Petrovskii-Piskunov,Comm.Pure Appl.Math.28(1975)323–331.[11]H.P.McKean,A correction to“Application of Brownian motion to the equation ofKolmogorov-Petrovskii-Piskunov”,Comm.Pure Appl.Math.29(1976)553–554.[12]Pinsky,R.G.(1995)Positive Harmonic Functions and Diffusion.Cambridge UniversityPress.[13]Pinsky,R.G.(1996)Transience,recurrence and local extinction properties of the supportfor supercriticalfinite measure-valued diffusions.Ann.Probab.24(1),237-267.[14]Ouyang,T.,Shi,J.,Exact multiplicity of positive solutions for a class of semilinear problems.J.Differential Equations146(1998),no.1,121–156.[15]Tang,M.Existence and uniqueness of fast decay entire solutions of quasilinear elliptic equa-tions.J.Differential Equations164(2000),no.1,155–179.Department of Statistics and Applied Probability,University of California,Santa Barbara,CA93106-3110,USA,and ELTE,Department of Applied Analysis,H-1117Bu-dapest,P´a zm´a ny P´e ter S´e t´a ny1/C,Hungary.E-mail address:englander@,simonp@cs.elte.huURL:/faculty/englander,http://www.cs.elte.hu∼simonp。

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