http://dx.doi.org/10.1090/surv/011 Recent Titles in This Series 40.1 Daniel Gorenstein, Richard Lyons, and Ronald Solomon, The classification of the finite simple groups, 1994 39 Sigurdur Helgason, Geometric analysis on symmetric spaces, 1993 38 Guy David and Stephen Semmes, Analysis of and on uniformly rectifiable sets, 1993 37 Leonard Lewin, Editor, Structural properties of polylogarithms, 1991 36 John B. Conway, The theory of subnormal operators, 1991 35 Shreeram S. Abhyankar, Algebraic geometry for scientists and engineers, 1990 34 Victor Isakov, Inverse source problems, 1990 33 Vladimir G. Berkovich, Spectral theory and analytic geometry over non-Archimedean fields, 1990 32 Howard Jacobowitz, An introduction to CR structures, 1990 31 Paul J. Sally, Jr. and David A. Vogan, Jr., Editors, Representation theory and harmonic analysis on semisimple Lie groups, 1989 30 Thomas W. Cusick and Mary E. Flahive, The Markoffand Lagrange spectra, 1989 29 Alan L. T. Paterson, Amenability, 1988 28 Richard Beals, Percy Deift, and Carlos Tomei, Direct and inverse scattering on the line, 1988 27 Nathan J. Fine, Basic hypergeometric series and applications, 1988 26 Hari Bercovici, Operator theory and arithmetic in //°°, 1988 25 Jack K. Hale, Asymptotic behavior of dissipative systems, 1988 24 Lance W. Small, Editor, Noetherian rings and their applications, 1987 23 E. H. Rothe, Introduction to various aspects of degree theory in Banach spaces, 1986 22 Michael E. Taylor, Noncommutative harmonic analysis, 1986 21 Albert Baernstein, David Drasin, Peter Duren, and Albert Marden, Editors, The Bieberbach conjecture: Proceedings of the symposium on the occasion of the proof, 1986 20 Kenneth R. Goodearl, Partially ordered abelian groups with interpolation, 1986 19 Gregory V. Chudnovsky, Contributions to the theory of transcendental numbers, 1984 18 Frank B. Knight, Essentials of Brownian motion and diffusion, 1981 17 Le Baron O. Ferguson, Approximation by polynomials with integral coefficients, 1980 16 O. Timothy O'Meara, Symplectic groups, 1978 15 J. Diestel and J. J. Uhl, Jr., Vector measures, 1977 14 V. Guillemin and S. Sternberg, Geometric asymptotics, 1977 13 C. Pearcy, Editor, Topics in operator theory, 1974 12 J. R. Isbell, Uniform spaces, 1964 11 J. Cronin, Fixed points and topological degree in nonlinear analysis, 1964 10 R. Ayoub, An introduction to the analytic theory of numbers, 1963 9 Arthur Sard, Linear approximation, 1963 8 J. Lehner, Discontinuous groups and automorphic functions, 1964 7.2 A. H. Clifford and G. B. Preston, The algebraic theory of semigroups, Volume II, 1961 7.1 A. H. Clifford and G. B. Preston, The algebraic theory of semigroups, Volume I, 1961 6 C. C. Chevalley, Introduction to the theory of algebraic functions of one variable, 1951 5 S.Bergman, The kernel function and conformal mapping, 1950 4 O. F. G. Schilling, The theory of valuations, 1950 3 M. Marden, Geometry of polynomials, 1949 2 N. Jacobson, The theory of rings, 1943 1 J. A. Shohat and J. D. Tamarkin, The problem of moments, 1943 This page intentionally left blank Fixed Points and Topological Degree in Nonlinear Analysis Jane Cronin American Mathematical Society Providence, Rhode Island 1991 Mathematics Subject Classification. Primary 47H15; Secondary 47H10, 47H11, 47H20, 55M20, 55M25, 35J65, 58C30, 34C25, 45G10. Library of Congress Catalog Number: 62-21550 International Standard Book Number 0-8218-1511-3 International Standard Serial Number 0076-5376 Copying and reprinting. Individual readers of this publication, and nonprofit libraries acting for them, are permitted to make fair use of the material, such as to copy a chapter for use in teaching or research. Permission is granted to quote brief passages frpm this publication in reviews, provided the customary acknowledgment of the source is given. Republication, systematic copying, or multiple reproduction of any material in this publication (including abstracts) is permitted only under license from the American Mathematical Society. Requests for such permission should be addressed to the Assistant to the Publisher, American Mathematical Society, P. O. Box 6248, Providence, Rhode Island 02940-6248. Requests can also be made by e-mail to reprint-permissionQams.org. © Copyright 1964 by the American Mathematical Society. Reprinted with corrections, 1972 Printed in the United States of America. The American Mathematical Society retains all rights except those granted to the United States Government. @ The paper used in this book is acid-free and falls within the guidelines established to ensure permanence and durability. 10 9 8 7 02 01 00 99 98 PREFACE Since this book is an introduction to the application of certain topological methods to nonlinear differential and integral equations, it is necessarily an incomplete account of each of these subjects. Only the topology which is needed will be introduced, and only those aspects of differential and integral equations which can be profitably studied by the use of the topological methods are discussed. The bibliography is intended to be representative, not complete. I am greatly indebted to Professor Lamberto Cesari who read the entire manuscript and made a number of valuable suggestions and corrections concerning both the mathematics and the exposition in this book. The preparation of this book was supported by the Air Force Office of Scientific Research. I wish to express my thanks to the Air Force Office of Scientific Research and also to the editorial staff of the American Mathematical Society for their work in preparing the manuscript for publication. Jane Cronin. FOREWORD Our aim is to give a detailed description of fixed point theory and topo logical degree theory starting from elementary considerations and to explain how this theory is used in the study of nonlinear differential equations, ordinary and partial. The reader is expected to have a fair knowledge of advanced calculus, especially the point set theory of Euclidean n-space, but no further knowledge of topology is assumed. (Following this introduction is a list of definitions and notations from advanced calculus which will be used in the text.) Why topological methods are used. It is easy to see that the solution x(t) of the differential equation such that x(0) — 0 &nddx(0)/dt = 1, is o; = sint. In finding this solution, we have obtained complete quantitative information, i.e., for any given value of t, we can find the corresponding value x(t) by referring to a table of trigono metric functions. However, we have also obtained other useful information called qualitative or "in the large" information: we know that the values x(t) are between — 1 and + 1 and that x(t) has period 2n. If all differential equations could be solved as easily, it would be unnecessary to introduce the distinction between quantitative and qualitative informa tion concerning solutions. But this example is an exceptionally simple one. Most differential equations, especially nonlinear equations, must be studied with one technique to obtain quantitative information and by another to obtain qualitative information. If a method can be derived for finding the numerical values of the solution corresponding to given values of the in dependent variable, this method will usually not give us qualitative informa tion. For example, to determine if the solution is periodic requires a different approach. The topological methods we describe will give us qualitative information, e.g., information about the existence and stability of periodic solutions of ordinary differential equations and the existence of solutions of certain partial differential equations. However, they will give no quantitative informa tion, i.e.. no information about how to compute any of the solution values. At best, we will get upper and lower bounds for solution values. The information that the topological methods give us is thus incomplete. Nevertheless, topological methods are used because at present there are no other methods that yield as much qualitative information with so little effort. It is possible to envision a future in which topological methods will vi FOREWORD Vll be supplanted by more efficient methods, but so far there is little encourage ment for doing so. Such a venerable technique as the Poincare-Bendixson Theorem has not been essentially improved in over sixty years although it is widely used. (The Poincare-Bendixson Theorem is not one of the techniques which we will describe but as will be seen in Chapter II, it is intimately related to one of these techniques.) The topological techniques to be developed. The two techniques to be developed, the fixed point theorem and local topological degree, are closely connected. The fixed point theorem has the advantage of being a com paratively elementary theorem (it can be proved without using any "topo logical machinery") which has many useful applications. The topological degree theory requires lengthier considerations for its development, but it has an important advantage over the fixed point theorem: it gives informa tion about the number of distinct solutions, continuous families of solutions, and stability of solutions. When to use topological techniques. We shall mostly be concerned with the question of how to apply topological techniques. The question of when to apply them is equally important. There can be no precise answer to the question, but we can formulate a rough rule. If we use an analytical method (like successive approximations), we establisli existence and uniqueness of solution and a method (not necessarily practical) for computing the solution. If analytical means fail and especially if there seems to be no way to establisli uniqueness, then we turn to the weaker question of establishing mere existence. For answering this weaker question, the topological methods (cruder and yielding less information than analytical methods) sometimes suffice. Thus topological methods should be regarded as a last resort or at least a later resort than analytical methods. Summary of contents. In Chapter I, a definition of the local topological degree in Euclidean rc-space is given, the basic properties of topological degree are derived, and some methods for computing the degree are described. Also the Brouwer Theorem (the fixed point theorem in Euclidean n-space) is obtained. In Chapter II, the techniques described in Chapter 1 are applied to some problems in ordinary differential equations: existence and stability of periodic and almost periodic solutions. In Chapter III, the Euclidean n-space techniques developed in Chapter I are extended to spaces of arbitrary dimension. We obtain the Leray-Schauder degree and the Schauder and Banach fixed point theorems for mappings in Banach space. We obtain also a combination of analytical and topological techniques which can be used to study local problems in Banach space. Finally in Chapter IV, the theory developed in Chapter III is applied to integral equations, partial differential equations and to some further problems on periodic solutions of ordinary differential equations. Vlll FOREWORD The applications in Chapters II and IV are treated in varying detail. Existence of periodic solutions of nonautonomous ordinary differential equations is treated in complete detail. Stability of periodic solutions is treated in full detail except for the basic stability theorem of Lyapunov which is stated without proof. The other topics in Chapter II are similarly treated: certain theorems, particularly those from other disciplines, are stated without proof. In Chapter IV, an elaborate apparatus of theorems from analysis must be used in applying the Leray-Schauder theory and the Schauder Fixed Point Theorem. Some of these theorems have lengthy and complicated proofs and we restrict ourselves to giving references for these proofs. The numbering of definitions, theorems, etc., is done independently in each chapter. Unless otherwise stated, references to a numbered item means that item in the chapter in which the reference is made. E.g., if in Chapter II, reference is made to Theorem (3.8), that means Theorem (3.8) in Chapter II. Some Terminology and Notation Used in This Text | denotes end of proof. nasc is abbreviation for necessary and sufficient condition. Set notation e: element of £: not an element of (J: union P): intersection —: difference 0: null set C : contained in Ac: complement of set A A x B: Cartesian product of sets A and B, i.e., the set of all ordered pairs (a, b) where a e A, b e B. The set of elements having property P is denoted by: [x J x has property P]. If a, b are real numbers such that a < b, the following notation is used to indicate the various intervals: [a, b] = [x real / a g x g b] y [a, b) = [x real / a ^ x < b], (a, b] = [x real / a < x ^ 6], (a, b) = [x real / a < x < b]. [a, 6] is called a closed interval and (a, b) is called an open interval. Rn denotes real Euclidean n-space, i.e., the collection of n-tuples of real numbers FOREWORD IX (x • • •, x ). The elements of Rn will be denoted by single letters, p, q, • • • lf n when this is possible. If p = {p • • •, p ) and A is a real number, then 1} n Xp = {Xp^- • ., Xp ). n In particular, (~l)P = (-^i>- ' •> -Pn)- If p = {p ---,p ) and ? = (q • • •, g ), then lf n lt n p + q = (Pi + qi,--,p + ffn). n The distance between points p and q, denoted by \p — g|, is: b - ?l = [(^i - ?i)2 + • • • + (Pn - g )2]1/2. n If p e i2n, the neighborhoods of p are the sets: N(P) = [?/ |P " q\ < «] e where £ is an arbitrary positive number. A set 0 in i?n is open if for each point p e 0, there is a neighborhood N (p) of p such that N (p) C 0. A set E € JP in ^n is closed if i^c is open. A point p is a K??n7 ^OZ'TZ/ (cluster point, accumulation point) of a set E in i?n if each neighborhood of p contains at least one point of E distinct from p. (Point p may or may not be in E.) If D C Rn> & boundary point of D is a point p such that each neighborhood of p contains a point of D and a point of Dc. (A boundary point of D may or may not be in D.) The collection of boundary points of D is denoted by D'. The set D \J D' (also denoted by D) is called the closure of D. The set D U D' is a closed set. If there is a neighborhood N (p) of a point p such £ that N (p) is contained in a set E, then ^) is an interior point of E. E A metric space is a collection ilf of points p, q, • • • for which a function p from M x M into the non-negative real numbers is defined such that: (1) p(p, q) > 0 if and only if p ^ q\ (2) ^p, q) = (q,p); P (3) p(y, r) <: p(p q) + p{q, r). 9 All the concepts defined for i?n, i.e., neighborhood, open set, closed set, etc., may be defined for a metric space by using the same definitions given for Rn only with \p — q\ replaced by p(p, q). A separable metric space is a metric space M such that there is a denumer- able subset [x ] of M such that the closure of [x ] is M. n n A connected set in a metric space M is a set $ such that S is not the union of two disjoint nonempty sets A and B which are contained in disjoint open sets. A component of an open set 0 in a metric space is a maximal connected subset of 0. A locally connected metric space is a metric space M such that if p e M and iV (^) is a neighborhood of _p then there is a connected neighborhood £ of p which is contained in N (p). E