Applications of Green's Functions in Science and Engineering
eBook - ePub

Applications of Green's Functions in Science and Engineering

  1. 160 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Applications of Green's Functions in Science and Engineering

About this book

Concise and highly regarded, this treatment of Green's functions and their applications in science and engineering is geared toward undergraduate and graduate students with only a moderate background in ordinary differential equations and partial differential equations. The text also includes a wealth of information of a more general nature on boundary value problems, generalized functions, eigenfunction expansions, partial differential equations, and acoustics.
The two-part treatment begins with an overview of applications to ordinary differential equations. Topics include the adjoint operator, delta function, the Green's function method, and the eigenfunction method. The second part, which explores applications to partial differential equations, covers functions for the Laplace, Helmholtz, diffusion, and wave operators. A full index, exercises, suggested reading list, a new preface, and a new brief errata list round out the text.

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Yes, you can access Applications of Green's Functions in Science and Engineering by Michael D. Greenberg in PDF and/or ePUB format, as well as other popular books in Mathematics & Applied Mathematics. We have over one million books available in our catalogue for you to explore.

Information

APPLICATIONS OF GREEN’S FUNCTIONS IN SCIENCE AND ENGINEERING

1. INTRODUCTION

In PART I we will be concerned with the solution of the ordinary differential equation
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over an interval a ≤ x ≤ b, subject to certain boundary conditions, where L is an nth order linear ordinary differential operator. By linear, we mean L is such that
images
for arbitrary constants α, β and any functions ν, w which are at least sufficiently differentiable for L ν and L w to exist.1 We state, without proof, that L must therefore be of the form
images
It is easily verified that this does in fact satisfy the linearity requirement (1.2).
By contrast, let us consider a differential operator which is not of the form (1.3); for example,
images
where we denote d( )/dx = ( )′ for brevity. Applying N to an arbitrary linear combination αν + βw we have
images
Clearly, the quantity inside the last square brackets is not identically zero for all allowable α’s, β’s, ν’s and w’s, so that N does not satisfy the fundamental requirement (1.2), and is therefore nonlinear. This, of course, is no great surprise since N is clearly not of the form (1.3).
Now let us consider the boundary conditions associated with (1.1). Since L is of nth order, there will be n such conditions of the general form2
images
where the cj‘s are given constants, and the Bj‘s are prescribed functionals3 of the unknown u. More specifically, we will limit our attention throughout to Bj‘s which are linear combinations of u and its derivatives, through order n – 1, at the two endpoints a, b. For n = 2, for example, we have
images
We say that they are linear functionals, because
images
for arbitrary constants α, β and functions ν, w.
Now, thus far we have discussed both the differential operator L, and the boundary conditions Bj which determine the domain of L and hence complete the specification of the operator. (Note that we distinguish between the term differential operator, which refers to L alone, and the term operator,
images
say, which refers to L plus the Bj, boundary conditions.4) We have been careful to require that both L and the Bj‘s be linear. This is of crucial importance here, since it implies the validity of superposition, which will be basic to the Green’s function method.
images
FIGURE 1.1 Domain and range of a function f.
To illustrate the idea of superposition, consider, for example, the second order system...

Table of contents

  1. Cover Page
  2. Title Page
  3. Copyright Page
  4. Dedication
  5. Preface
  6. Contents
  7. Part I: Application to Ordinary Differential Equations
  8. PART II: Application to Partial Differential Equations
  9. Errata
  10. Suggested Reading
  11. Index