As di erential equations are equations which involve functions and theirderivatives as unknowns, we shall adopt throughout the view that di eren-tial equations are equations in spaces of
Trang 1An Introduction
Klaus Schmitt Department of Mathematics University of Utah Russell C Thompson Department of Mathematics and Statistics
Utah State University August 14, 2000
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Copyright c1998 by K Schmitt and R Thompson
Trang 3Preface
The subject of Dierential Equations is a well established part of matics and its systematic development goes back to the early days of the de-velopment of Calculus Many recent advances in mathematics, paralleled byengineering, have again shown that many phenomena in the applied sciences,modelled by dierential equations will yield some mathematical explanation ofthese phenomena (at least in some approximate sense)
mathe-The intent of this set of notes is to present several of the important existencetheorems for solutions of various types of problems associated with dierentialequations and provide qualitative and quantitative descriptions of solutions Atthe same time, we develop methods of analysis which may be applied to carryout the above and which have applications in many other areas of mathematics,
as well
As methods and theories are developed, we shall also pay particular attention
to illustrate how these ndings may be used and shall throughout considerexamples from areas where the theory may be applied
As dierential equations are equations which involve functions and theirderivatives as unknowns, we shall adopt throughout the view that dieren-tial equations are equations in spaces of functions We therefore shall, as weprogress, develop existence theories for equations de ned in various types offunction spaces, which usually will be function spaces which are in some sensenatural for the given problem
Trang 5Table of Contents
1 Introduction 3
2 Banach Spaces 3
3 Dierentiability, Taylor's Theorem 8
4 Some Special Mappings 11
5 Inverse Function Theorems 20
6 The Dugundji Extension Theorem 22
7 Exercises 25
Chapter II The Method of Lyapunov-Schmidt 27 1 Introduction 27
2 Splitting Equations 27
3 Bifurcation at a Simple Eigenvalue 30
Chapter III Degree Theory 33 1 Introduction 33
2 De nition 33
3 Properties of the Brouwer Degree 38
4 Completely Continuous Perturbations 42
5 Exercises 47
Chapter IV Global Solution Theorems 49 1 Introduction 49
2 Continuation Principle 49
3 A Globalization of the Implicit Function Theorem 52
4 The Theorem of Krein-Rutman 54
5 Global Bifurcation 57
6 Exercises 61
Chapter V Existence and Uniqueness Theorems 65
v
Trang 61 Introduction 65
2 The Picard-Lindelof Theorem 66
3 The Cauchy-Peano Theorem 67
4 Extension Theorems 69
5 Dependence upon Initial Conditions 72
6 Dierential Inequalities 74
7 Uniqueness Theorems 78
8 Exercises 79
Chapter VI Linear Ordinary Dierential Equations 81 1 Introduction 81
2 Preliminaries 81
3 Constant Coecient Systems 83
4 Floquet Theory 85
5 Exercises 88
Chapter VII Periodic Solutions 91 1 Introduction 91
2 Preliminaries 91
3 Perturbations of Nonresonant Equations 92
4 Resonant Equations 94
5 Exercises 100
Chapter VIII Stability Theory 103 1 Introduction 103
2 Stability Concepts 103
3 Stability of Linear Equations 105
4 Stability of Nonlinear Equations 108
5 Lyapunov Stability 110
6 Exercises 118
Chapter IX Invariant Sets 121 1 Introduction 121
2 Orbits and Flows 122
3 Invariant Sets 123
4 Limit Sets 125
5 Two Dimensional Systems 126
6 Exercises 128
Chapter X Hopf Bifurcation 129 1 Introduction 129
2 A Hopf Bifurcation Theorem 129
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Chapter XI Sturm-Liouville Boundary Value Problems 135
1 Introduction 135
2 Linear Boundary Value Problems 135
3 Completeness of Eigenfunctions 138
4 Exercises 141
Trang 9Nonlinear Analysis
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Trang 11in Banach spaces, a version of this important result, suitable for our purposes
is stated and proved As a consequence we derive the Inverse Function theorem
in Banach spaces and close this chapter with an extension theorem for tions de ned on proper subsets of the domain space (the Dugundji extensiontheorem)
func-In this chapter we shall mainly be concerned with results for not necessarilylinear functions; results about linear operators which are needed in these noteswill be quoted as needed
iii) kuk=jjkuk, for every scalarand everyu2E,
iv) ku+vk kuk+kvk, for allu;v;2E (triangle inequality)
A norm k k de nes a metric d : E E ! R
+ by d(u;v) = ku?vk and(E;k k) or simplyE (if it is understood which norm is being used) is called a
3
Trang 12Banach space if the metric space (E;d),dde ned as above, is complete (i.e allCauchy sequences have limits inE).
IfEis a real (or complex) vector space which is equipped with an inner product,i.e a mapping
h;i:EE! R (orC (the complex numbers))
satisfying
i) hu;vi=hv;ui; u;v2E
ii) hu+v;wi=hu;wi+hv;wi; u;v;w2E
iii) hu;vi=hu;vi; 2 C; u;v;2E
iv) hu;ui 0,u2E, andhu;ui= 0 if and only if u= 0,
thenE is a normed space with the norm de ned by
kuk=p
hu;ui; u2E:
IfE is complete with respect to this norm, thenE is called a Hilbert space
An inner product is a special case of what is known as a conjugate linearform, i.e a mappingb:EE! C having the properties (i){(iv) above (with
h;ireplaced byb(;)); in caseEis a real vector space, thenbis called a bilinearform
The following collection of spaces are examples of Banach spaces They willfrequently be employed in the applications presented later The veri cation thatthe spaces de ned are Banach spaces may be found in the standard literature
0<+1 HenceC0 ;R m) is a Banach space
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2.2 Spaces of dierentiable functions
R n Let ...
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