Pacific Journal of Mathematics



Similar documents
MATH 425, PRACTICE FINAL EXAM SOLUTIONS.

EXISTENCE AND NON-EXISTENCE RESULTS FOR A NONLINEAR HEAT EQUATION

1 = (a 0 + b 0 α) (a m 1 + b m 1 α) 2. for certain elements a 0,..., a m 1, b 0,..., b m 1 of F. Multiplying out, we obtain

Fuzzy Differential Systems and the New Concept of Stability

No: Bilkent University. Monotonic Extension. Farhad Husseinov. Discussion Papers. Department of Economics

The Heat Equation. Lectures INF2320 p. 1/88

Parabolic Equations. Chapter 5. Contents Well-Posed Initial-Boundary Value Problem Time Irreversibility of the Heat Equation

UNIVERSITETET I OSLO

BANACH AND HILBERT SPACE REVIEW

Separation Properties for Locally Convex Cones

ALMOST COMMON PRIORS 1. INTRODUCTION

Lecture 4: BK inequality 27th August and 6th September, 2007

Properties of BMO functions whose reciprocals are also BMO

1 Completeness of a Set of Eigenfunctions. Lecturer: Naoki Saito Scribe: Alexander Sheynis/Allen Xue. May 3, The Neumann Boundary Condition

2.3 Convex Constrained Optimization Problems

CHAPTER IV - BROWNIAN MOTION

Modern Optimization Methods for Big Data Problems MATH11146 The University of Edinburgh

Max-Min Representation of Piecewise Linear Functions

ON NONNEGATIVE SOLUTIONS OF NONLINEAR TWO-POINT BOUNDARY VALUE PROBLEMS FOR TWO-DIMENSIONAL DIFFERENTIAL SYSTEMS WITH ADVANCED ARGUMENTS

Some remarks on Phragmén-Lindelöf theorems for weak solutions of the stationary Schrödinger operator

Section 4.4 Inner Product Spaces

Walrasian Demand. u(x) where B(p, w) = {x R n + : p x w}.

1 if 1 x 0 1 if 0 x 1

The Math Circle, Spring 2004

Further Study on Strong Lagrangian Duality Property for Invex Programs via Penalty Functions 1

0 <β 1 let u(x) u(y) kuk u := sup u(x) and [u] β := sup

Tail inequalities for order statistics of log-concave vectors and applications

THE NUMBER OF GRAPHS AND A RANDOM GRAPH WITH A GIVEN DEGREE SEQUENCE. Alexander Barvinok

Lecture 13 Linear quadratic Lyapunov theory

A Uniform Asymptotic Estimate for Discounted Aggregate Claims with Subexponential Tails

The Ergodic Theorem and randomness

Numerical Verification of Optimality Conditions in Optimal Control Problems

24. The Branch and Bound Method

Date: April 12, Contents

n k=1 k=0 1/k! = e. Example 6.4. The series 1/k 2 converges in R. Indeed, if s n = n then k=1 1/k, then s 2n s n = 1 n

Level Set Framework, Signed Distance Function, and Various Tools

Adaptive Online Gradient Descent

6. Define log(z) so that π < I log(z) π. Discuss the identities e log(z) = z and log(e w ) = w.

MINIMIZATION OF ENTROPY FUNCTIONALS UNDER MOMENT CONSTRAINTS. denote the family of probability density functions g on X satisfying

5.3 Improper Integrals Involving Rational and Exponential Functions

Geometrical Characterization of RN-operators between Locally Convex Vector Spaces

Methods of Solution of Selected Differential Equations Carol A. Edwards Chandler-Gilbert Community College

RANDOM INTERVAL HOMEOMORPHISMS. MICHA L MISIUREWICZ Indiana University Purdue University Indianapolis

(Basic definitions and properties; Separation theorems; Characterizations) 1.1 Definition, examples, inner description, algebraic properties

1. Prove that the empty set is a subset of every set.

MASSACHUSETTS INSTITUTE OF TECHNOLOGY 6.436J/15.085J Fall 2008 Lecture 5 9/17/2008 RANDOM VARIABLES

Section Inner Products and Norms

minimal polyonomial Example

MATH PROBLEMS, WITH SOLUTIONS

Undergraduate Notes in Mathematics. Arkansas Tech University Department of Mathematics


A PRIORI ESTIMATES FOR SEMISTABLE SOLUTIONS OF SEMILINEAR ELLIPTIC EQUATIONS. In memory of Rou-Huai Wang

Bipan Hazarika ON ACCELERATION CONVERGENCE OF MULTIPLE SEQUENCES. 1. Introduction

A QUICK GUIDE TO THE FORMULAS OF MULTIVARIABLE CALCULUS

and s n (x) f(x) for all x and s.t. s n is measurable if f is. REAL ANALYSIS Measures. A (positive) measure on a measurable space

SHARP BOUNDS FOR THE SUM OF THE SQUARES OF THE DEGREES OF A GRAPH

Numerical methods for American options

Reference: Introduction to Partial Differential Equations by G. Folland, 1995, Chap. 3.

4. Complex integration: Cauchy integral theorem and Cauchy integral formulas. Definite integral of a complex-valued function of a real variable

4. Expanding dynamical systems

Brownian Motion and Stochastic Flow Systems. J.M Harrison

Class Meeting # 1: Introduction to PDEs

Some remarks on two-asset options pricing and stochastic dependence of asset prices

NONLOCAL PROBLEMS WITH NEUMANN BOUNDARY CONDITIONS

Inner Product Spaces

Convex analysis and profit/cost/support functions

Maximum Likelihood Estimation

A short note on American option prices

Existence and multiplicity of solutions for a Neumann-type p(x)-laplacian equation with nonsmooth potential. 1 Introduction

Consumer Theory. The consumer s problem

An Introduction to Partial Differential Equations

Proximal mapping via network optimization

Introduction to Finite Fields (cont.)

6.2 Permutations continued

THE DYING FIBONACCI TREE. 1. Introduction. Consider a tree with two types of nodes, say A and B, and the following properties:

Labeling outerplanar graphs with maximum degree three

EXERCISES PDE v(x)

Principle of Data Reduction

Lecture 5 Principal Minors and the Hessian

JUST THE MATHS UNIT NUMBER 1.8. ALGEBRA 8 (Polynomials) A.J.Hobson

Some Problems of Second-Order Rational Difference Equations with Quadratic Terms

The two dimensional heat equation

Optimal boundary control of quasilinear elliptic partial differential equations: theory and numerical analysis

Mathematical Methods of Engineering Analysis

The Australian Journal of Mathematical Analysis and Applications

Practice with Proofs

Transcription:

Pacific Journal of Mathematics GLOBAL EXISTENCE AND DECREASING PROPERTY OF BOUNDARY VALUES OF SOLUTIONS TO PARABOLIC EQUATIONS WITH NONLOCAL BOUNDARY CONDITIONS Sangwon Seo Volume 193 No. 1 March 2000

PACIFIC JOURNAL OF MATHEMATICS Vol. 193, No. 1, 2000 GLOBAL EXISTENCE AND DECREASING PROPERTY OF BOUNDARY VALUES OF SOLUTIONS TO PARABOLIC EQUATIONS WITH NONLOCAL BOUNDARY CONDITIONS Sangwon Seo It is shown that the local solution of parabolic equation with nonlocal boundary condition representing entropy can be extended to whole time domain for weights with large L 1 norms. When the weight is identically zero on some part of the boundary, it is shown that the boundary values can decrease even when the other weights are some large. 1. Introduction. This paper is concerned with the investigation of large time behavior of solutions to parabolic initial value problem subject to nonlocal boundary condition which describes the entropy in a quasi-static theory of thermoelasticity, namely, (1.1) u t (x, t) = u(x, t) + µu, (x, t) (0, T ), u(z, t) = f(z, y)u(y, t) dy, z, 0 < t < T, u(x, 0) = u 0 (x), x, where u 0 (x) are assumed to be continuous on and µ is a constant. The function f(z, y) is defined for z and y and continuous functions in y for each z. Since for each z, f(z, y) plays the weight of integration in (1.1), the function f(z, y) is called weights throughout this paper. Denote D T = (0, T ) and D T Γ T = [0, T ). The variable z stands for a generic point of boundary. The large time behavior of the solution u to Problem (1.1) is studied by taking an upper bound for u in Section 2. It is shown that the solution of Problem (1.1) with large weights f(z, ) for each z has an exponential lower bound in Section 3. Moreover, it is shown that the difference between maximum and minimum value on the boundary can decrease if the weights are zero on a nonempty subset of in z and zero on the boundary in y, that is, f(z, y) = 0, z Γ for all y and f(z, y) = 0, y. 219

220 SANGWON SEO A function u(x, t) is called a subsolution of Problem (1.1) on D T if u C 2,1 (D T ) C(D T Γ T ) satisfies (1.2) u t u + µu on D T, u(z, t) 1 0 u(x, 0) u 0 (x), x. f(z, y)u(y, t) dy, z, 0 < t < T, A supersolution is defined by reversing inequalities in (1.2). Using the notions of super and subsolution, we state the following: Theorem 1.1. Comparison principle: Let f(z, y) be nonnegative and continuous in y on for each z. Let also u and v be subsolution and supersolution of Problem (1.1), respectively, and u(x, 0) < v(x, 0) for x. Then u < v in D T. As a corollary, u 0 (x) > 0(< 0) implies u(x, t) > 0(< 0). Moreover, the local existence and uniqueness can be written as: Theorem 1.2. Let u 0 in (1.1) be continuous. Then for a small T, there is a unique solution of Problem (1.1) in C 2,1 (D T ) C(D T Γ T ). For the proofs of the comparison principle and the local existence theorem, see [4]. Here one can see that the results hold without any restriction to constant µ in the parabolic equation in (1.1). In this paper, we are only interested in the positive solutions of Problem (1.1), and hence we assume that u 0 > 0. Throughout this paper, L 1 and L 2 norm of a function on is denoted by 1 and 2, respectively. 2. Global existence. Under the convexity assumption on the domain and the following assumptions on the weights; (2.1) f(z, ) 1 < 1 for each z, it was known ([3]) that the maximum modulus max x v(x, t) of solution v to the parabolic equation, v t = v + νv, ν 0, subject to the nonlocal boundary conditions in (1.1) decreases, moreover, it was shown the exponential decay of the solution; there are some constants c 1 and γ > 0 such that (2.2) max v(x, t) c 1 e γt. x

GLOBAL EXISTENCE AND DECREASING PROPERTY 221 On the other hand, the author of [2] set up an example of one dimensional problem with µ = 0 and weights that violate (2.1), such that its maximum modulus of solution increases exponentially. In this paper, basic assumption on the weights is that f(z, y) 0 for y, for each z. One of the main concern is to find an upper bound of solutions in (1.2) with nonnegative weights in the integrals of boundary conditions which guarantees the global existence. For Problem (1.1) with arbitrary nonnegative weights, the author could not find other results about global existence. For convenience, let the domain = {x = (x 1, x 2 ) R 2 : x < 1}. The results derived here can be extended to higher dimension without difficulties. Theorem 2.1. For the solution u to Problem (1.1) with nonnegative weights f, there is a sufficiently smooth function S(x, t) such that (2.3) u(x, t) < S(x, t), t > 0. The choice of the function S(x, t) depends on the weights and sup x u 0 (x). Proof. Let S = p + q with p and q such that (2.4) p(x, t) = Ae κt+a(r 1) and q(x, t) = Ae κt a(r+1), x, t > 0, where r = x = ( x 2 1 + x2 2) 1/2. The positive constants A, a and κ will be chosen later. Then p and q satisfy p(z, t) = Ae κt, q(z, t) = Ae κt e 2a for each z, p(, t) 2 = ( 1 2π 2a 1 ) 1/2 4a 2 + e 2a 4a 2 Ae κt, q(, t) 2 = { ( e 2a 1 2π 4a 2 2a + 1 ) } 1/2 4a 2 e 4a Ae κt. If a satisfies { (1 ) + 2a 1/2 ( ) } 1 1/2 (2.5) 2π 4a 2 + max 2a { f(z, ) 2} 1, z then one has (2.6) { p(, t) 2 + q(, t) 2 } f(z, ) 2 < Ae κt for each z.

222 SANGWON SEO Note that S (0, t) = 0, t > 0, r { ar 1 e a(r 1) e a(r+1)} ar 1 e a(r 1), { ar 1 e a(r 1)} = a 2 e a, lim r 0 e a(r 1) + e a(r+1) 2e a. Since ar 1 e a(r 1) is decreasing for r < 1/a and increasing for r > 1/a, one has ar 1 e a(r 1) max{a 2 e a, a}. Choose the constant a so large that (2.5) holds and, a 2 e a < a, ar 1 e a(r 1) a, and take an integer k 2 so that 2a k e a > a. Now let κ a 2 + a k + µ. Then, by the choice of κ, k and a, we see that S = p + q satisfies S t = κs a k S + a 2 S + µs = Ae κt a k { e a(r 1) + e a(r+1)} + a 2 S + µs Ae κt a k (2e a ) + a 2 S + µs Ae κt a + a 2 S + µs Ae κt ar 1 e a(r 1) + a 2 S + µs Ae κt ar 1 ( e a(r 1) e a(r+1)) + a 2 S + µs 1 S = r r + 2 S r 2 + µs = S + µs on D T, and by the inequality (2.6), we obtain for z, S(z, t) = p(z, t) + q(z, t) = A ( e κt + e κt e 2a) > Ae κt > f(z, ) 2 ( p(, t) 2 + q(, t) 2 ) f(z, y)(p + q) dy = f(z, y)s(y, t) dy, 0 < t < T.

GLOBAL EXISTENCE AND DECREASING PROPERTY 223 Note that above inequalities hold for arbitrary positive constant A. After choosing a and κ, let A satisfy 2Ae a > sup x u 0 (x). Then one has { S(x, 0) = A e a(r 1)+e a(r+1)} sup u 0 (x). x Hence S(x, t) is a supersolution to (1.1), and thus inequality (2.3) holds by Theorem 1.1. By Theorem 2.1, we have a supersolution for any T > 0. Hence the local solution u on D T from Theorem 1.2 is bounded in D T for arbitrary T > 0, and thus u can be extended to the whole time domain. 3. Decreasing property of boundary values. In this section, boundary behavior of the solution to Problem (1.1) is studied. The difference of largest and smallest boundary values grows exponentially (inequality (3.4)). When the weights are identically zero on some part of boundary, it is shown that the difference can be nonincreasing in Theorem 3.2. From now on, it is assumed that µ 0. A lower bound of the solution of Problem (1.1) with weights satisfying for each z, (3.1) f(z, y) 0, y and f(z, ) 1 > 1, can be obtained by the following Theorem: Theorem 3.1. If µ 0 and u is a solution to Problem (1.1) and the weight f satisfies (3.1), then there are positive constants c 2 and γ such that (3.2) u(x, t) c 2 e γt on D T. Proof. Let v = u 1, where u is the positive solution to Problem (1.1). By denoting F (z) = f(z, ) 1, we see that for arbitrary T > 0, and for t > 0, ( v(z, t) = v t = u 2 ( u µu) = v 2 u 2 u 3 µv v µv on D T, F 1 (z) f(z, y)u(y, t) dy ) 1 f(z, y) F (z) u 1 (y, t) dy.

224 SANGWON SEO Since f(z, ) 1 /F 2 (z) < 1 for each z and µ 0, one has v c 1 e γt for some positive constants c 1 and γ by (2.2) and Theorem 1.1. Therefore, the solution u to Problem (1.1) satisfies (3.2) with c 2 = c 1 1. For weights satisfying (3.1), consider maximum and minimum of boundary values; M(t) = max u(z, t), z m(t) = min u(z, t). z Let M(t) = u(α, t), m(t) = u(β, t) for some α, β. Then, if (3.3) f(α, y) > f(β, y) for each y, the difference δ(t) = M(t) N(t) satisfies δ(t) = {f(α, y) f(β, y)}u(y, t) dy (3.4) c{ f(α, ) 1 f(β, ) 1 }e γt, for some positive constant c by Theorem 3.1. Hence the difference of the boundary values become exponentially large if (3.1) and (3.3) are satisfied. This increasing property fails when some weights are identically zero, that is, for some nonempty set Γ, f(z, ) 0 for z Γ. To see this, assume that, for each z, f(z, y) C 2 y() and that (3.5) f(z, y) 0 for each z, y. By the assumption (3.5) and using integration by parts, we see that, for ξ Γ c, (3.6) du(ξ, t) dt = = = n f(ξ, ω)u(ω, t) dω + [ y f(ξ, y) + µf(ξ, y) I ξ (f; y)u(y, t) dy. { y f(ξ, y) + µf(ξ, y)} u(y, t) dy ] f(ω, y) n f(ξ, ω) dω u(y, t) dy Therefore, if I ξ (f; y) 0 for each y, then the boundary value u(ξ, t) increases, and if I ξ (f; y) 0, then the boundary value decreases. Since we are interested in the weights for which the value u(ξ, t) decreases, consider the nonnegative function g on such that (3.7) and (3.8) g = λg in, g = 0 on.

GLOBAL EXISTENCE AND DECREASING PROPERTY 225 Define the characteristic function on = Γ Γ c by { 0 for z Γ (3.9) χ(z) = 1 for z Γ c, and let (3.10) h(z, y) = χ(z)g(y). Theorem 3.2. If Γ is sufficiently large in the sense that (3.11) n g(ω) dω is sufficiently large, Γ then, for sufficiently small µ 0, the boundary values of the solution to Problem (1.1) with weights given by (3.10) are nonincreasing. Proof. For ξ, I ξ (h, y) satisfies I ξ (h; y) = χ(ξ) g(y) + µχ(ξ)g(y) (3.12) χ(ω)χ(ξ)g(y) n g(ω) dω = χ(ξ) g(y) + µχ(ξ)g(y) χ(ξ) g(y) n g(ω) dω Γ c { } = χ(ξ) λ + µ n g(ω) dω g(y). Γ c If the nonnegative constant µ is sufficiently small, then we can set I ξ (h; y) as nonpositive by taking Γ as sufficiently large in the sense of (3.11) while h(z, ) 1 are large for z Γ c. This can be done because the eigenvalue λ is fixed negative number and g is a smooth function. Therefore, by the identities (3.6), we get the conclusion. On the other hand, since g(y) is nonnegative for every y, n g(ω) in (3.12) is nonpositive. Thus, if µ > λ, then I ξ (h; y) > 0 on arbitrary proper subset Γ c of. Therefore, u(ξ, t) is increasing for ξ Γ c. References [1] W.A. Day, Extensions of a property of the heat equation to linear thermoelasticity and other theories, Quart. Appl. Math., 40(3) (1982/83), 319-330. [2], A decreasing property of solutions of parabolic equations with applications to thermoelasticity, Quart. Appl. Math., 40(4) (1982/83), 468-475. [3] A. Friedman, Monotonic decay of solutions of parabolic equations with nonlocal boundary conditions, Quart. Appl. Math., 44(3) (1986), 401-407.

226 SANGWON SEO [4] Keng Deng, Comparison principle for some nonlocal problems, Quart. Appl. Math., 50 (1992), 517-522. Received July 29, 1998 and revised September 3, 1998. This work is partially supported by KOSEF. Seoul National University Seoul 151-742 Korea E-mail address: sangwon@math.snu.ac.kr