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Title:
Inverse problems and inverse scattering of plane waves
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Publication Information:
San Diego : Academic Press, 2002
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9780122818653
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30000010046261 QC794.6.S3 G46 2002 Open Access Book Book
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Summary

Summary

The purpose of this text is to present the theory and mathematics of inverse scattering, in a simple way, to the many researchers and professionals who use it in their everyday research. While applications range across a broad spectrum of disciplines, examples in this text will focus primarly, but not exclusively, on acoustics. The text will be especially valuable for those applied workers who would like to delve more deeply into the fundamentally mathematical character of the subject matter.

Practitioners in this field comprise applied physicists, engineers, and technologists, whereas the theory is almost entirely in the domain of abstract mathematics. This gulf between the two, if bridged, can only lead to improvement in the level of scholarship in this highly important discipline. This is the book's primary focus.


Author Notes

D. N. Ghosh Roy is a staff scientist at Sachs and Freeman, Inc., in Maryland, USA, and is a consultant to the U.S. Naval Research Laboratory in Washington, DC, USA
L. S. Couchman is the head of the Theoretical Acoustics Branch of the U.S. Naval Research Laboratory in Washington, DC, USA


Table of Contents

1 Introductionp. 1
1.1 Direct and Inverse Problemsp. 1
1.1.1 Two Broad Divisions of Inverse Problemsp. 2
1.2 The Basic Conceptsp. 8
1.2.1 The Approximate Nature of an Inverse Solutionp. 8
1.2.2 The Smoothing Action Of An Integral Operatorp. 10
1.2.3 The Role of a priori Knowledgep. 12
1.2.4 Ill- and Well-posed Problemsp. 13
2 Some Examples of Ill-posed Problemsp. 17
2.1 Introductionp. 17
2.2 Examplesp. 17
2.2.1 Example 1. The Cauchy Problem for the Backward Heat Equationp. 17
2.2.2 Example 2. The Cauchy Problem for the Laplace Equationp. 21
2.2.3 Example 3. The Laplace Transformp. 23
2.2.4 Example 4. Numerical Differentiationp. 28
2.2.5 Example 5. Inverse Source Problemp. 32
Inverse Diffraction and Near-Field Holographyp. 36
2.2.6 Example 6. An Example from Medical Diagnosticsp. 40
2.2.7 Example 7. A Nonlinear Problemp. 44
3 Theory of Ill-posed Problemsp. 49
3.1 Introductionp. 49
3.2 Tikhonov's Theoremp. 51
3.3 Regularization on a Compactum: The Quasisolutionp. 54
3.4 Generalized Solutionsp. 56
3.4.1 Summaryp. 62
3.4.2 Connection with Quasisolutionp. 63
3.5 Singular Value Expansionp. 63
3.6 Tikhonov's Theory of Regularizationp. 68
3.6.1 The Regularizing Operatorp. 70
The [epsilon]--[delta] Definitionp. 70
The Parametric Definitionp. 71
3.6.2 The Construction of Regularizersp. 74
3.6.3 The Spectral or Filter Functionsp. 78
The Iterative Filtersp. 79
3.6.4 First-order regularizationp. 82
3.7 Convergence, Stability and Optimalityp. 85
3.7.1 Convergence and Stability Estimatesp. 85
3.7.2 The Optimality of a Regularization Strategyp. 87
3.8 The Determination of [alpha]p. 90
3.8.1 The Existence of an Optimal Value of [alpha]p. 90
3.8.2 The Discrepancy Principlep. 93
3.9 An Applicationp. 96
3.10 The Method of Mollificationp. 97
3.10.1 The Methodp. 97
3.10.2 An Example: Numerical Differentiationp. 102
4 Regularization by Projectionsp. 105
4.1 Introductionp. 105
4.2 The Basic Projection Methodsp. 105
4.3 The Method of Projections: General Frameworkp. 108
4.4 The Method of Least-Squarep. 113
4.5 The Method of Collocationp. 117
4.6 The Standard Galerkin Methodp. 120
4.6.1 The Galerkin Approximation in one Dimensionp. 120
4.6.2 The General Casep. 125
4.6.3 The Galerkin Method and FEMp. 128
4.6.4 The Perturbed Datap. 130
4.6.5 The Petrov-Galerkin Methodp. 131
5 Discrete Ill-posed Problemsp. 133
5.1 Introductionp. 133
5.2 Discrete Decompositionsp. 134
5.3 The Discrete Tikhonov Regularizationp. 145
5.4 An Examplep. 146
5.5 Discrete Solution of a Tikhonov Functionalp. 150
5.6 Appendix A.5.1p. 154
5.7 Appendix A.5.2p. 159
5.8 Appendix A.5.3p. 164
6 The Helmholtz Scatteringp. 169
6.1 Introductionp. 169
6.2 Gauss' or Divergence Theoremp. 171
6.3 Green's Identitiesp. 173
6.4 The Helmholtz Equationp. 175
6.5 The Helmholtz Representation in the Interiorp. 178
6.6 The Radiation Conditionp. 180
6.7 The Helmholtz Representation in the Exteriorp. 188
6.8 Some Properties of the Scattering Solutionsp. 190
6.9 The Helmholtz Scattering from Inhomogeneitiesp. 193
7 The Solutionsp. 203
7.1 Introductionp. 203
7.2 The Layer Potentialsp. 204
7.3 Replacing G[superscript 0] (x, y; k) by g[superscript 0] (x, y)p. 206
7.4 The Double-layer Potentialp. 211
7.5 The Single-layer Potentialp. 216
7.6 The Helmholtz Scattering Problemsp. 222
7.6.1 The Dirichet and Neumann Obstacle Scatteringp. 222
7.7 Unconditionally Unique Solutionp. 227
7.7.1 Combining Single and Double-layer Potentialsp. 228
7.8 The Transmission Problemp. 234
7.9 Jones' Methodp. 237
7.10 Appendix A.7.1p. 239
7.11 Appendix A.7.2p. 241
7.12 Appendix A.7.3p. 242
7.13 Appendix A.7.4p. 243
7.14 Appendix A.7.5p. 245
7.15 Appendix A.7.6p. 245
8 Uniqueness Theorems in Inverse Problemsp. 247
8.1 Some Definitionsp. 247
8.2 Properties of the Total Fieldsp. 249
8.2.1 Obstacle Scattering: Linear Independence of Total Fieldsp. 249
8.2.2 Inhomogeneity Scatteringp. 250
8.3 The Dirichlet and Neumann Spectrump. 253
8.3.1 The Spectrum of the Negative of the Dirichlet Laplacian in a Bounded Domainp. 253
8.3.2 The Analysis of the Neumann Laplacianp. 256
8.4 The Uniqueness of the Inverse Dirichlet Obstacle Problemp. 259
8.5 The Uniqueness of Inverse Neumann Obstaclep. 261
8.6 Uniqueness in Inverse Transmission Obstaclep. 267
8.7 Uniqueness of Inverse Inhomogeneity Scatteringp. 269
8.8 Appendix A.8.1p. 277
8.9 Appendix A.8.2p. 281
9 Some Algorithmsp. 283
9.1 Introductionp. 283
9.2 The Method of Potentialsp. 286
9.3 The Method of Superposition of Incident Fieldsp. 287
9.4 The Method of Wavefunction Expansionp. 290
9.5 The Method of Boundary Variationp. 292
9.5.1 Dirichlet and Neumann Problem In Two-dimensionp. 297
9.5.2 Transmission Problem in Two-dimensionsp. 298
9.6 Some Nonoptimizational Methodsp. 300
9.6.1 The Method of Colton and Kirschp. 301
9.6.2 The Method of Eigensystem of the Far-field Operatorp. 303
9.7 Appendix A.9.1p. 305
9.8 Appendix A.9.2p. 309
9.9 Appendix A.9.3p. 311
10 Bibliographyp. 315
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