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9780817639358

Mutational and Morphological Analysis: Tools for Shape Evolution and Morphogenesis

by
  • ISBN13:

    9780817639358

  • ISBN10:

    0817639357

  • Format: Hardcover
  • Copyright: 1999-02-01
  • Publisher: Springer Verlag
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Summary

The analysis, processing, evolution, optimization and/or regulation, and control of shapes and images appear naturally in engineering (shape optimization, image processing, visual control), numerical analysis (interval analysis), physics (front propagation), biological morphogenesis, population dynamics (migrations), and dynamic economic theory. These problems are currently studied with tools forged out of differential geometry and functional analysis, thus requiring shapes and images to be smooth. However, shapes and images are basically sets, most often not smooth. J.-P. Aubin thus constructs another vision, where shapes and images are just any compact set. Hence their evolution -- which requires a kind of differential calculus -- must be studied in the metric space of compact subsets. Despite the loss of linearity, one can transfer most of the basic results of differential calculus and differential equations in vector spaces to mutational calculus and mutational equations in any mutational space, including naturally the space of nonempty compact subsets. "Mutational and Morphological Analysis" offers a structure that embraces and integrates the various approaches, including shape optimization and mathematical morphology. Scientists and graduate students will find here other powerful mathematical tools for studying problems dealing with shapes and images arising in so many fields.

Table of Contents

Preface xiii(4)
Acknowledgments xvii(2)
Introduction xix(10)
Outline of the Book xxix
I Mutational Analysis in Metric Spaces 1(98)
1 Mutational Equations
3(60)
Introduction 3(4)
1.1 Transitions on Metric spaces
7(6)
1.2 Mutations of Single-Valued Maps
13(2)
1.3 Primitives of Mutations
15(6)
1.4 Mutational Cauchy-Lipschitz's Theorem
21(3)
1.5 Contingent Transitions
24(4)
1.6 Mutational Nagumo's Theorem
28(10)
1.6.1 Characterization of Viable Subsets
29(6)
1.6.2 Upper Semicontinuity of Solution Maps
35(1)
1.6.3 Closure of a Viability Domain
36(1)
1.6.4 (Omega)-Limit sets
37(1)
1.7 Viability Kernels and Capture Basins
38(6)
1.7.1 Viability Kernels and Capture Basin
39(2)
1.7.2 Particular Soluation to Mutational Equations
41(1)
1.7.3 Exit and Hitting Functions
42(2)
1.8 Epimutations of Extended Functions
44(9)
1.8.1 Extended Functions
45(2)
1.8.2 Contingent Epiderivatives
47(1)
1.8.3 Contingent Epimutations
48(2)
1.8.4 The Fermat Rule
50(2)
1.8.5 Epimutations of the Distance to a Set
52(1)
1.9 Lyapunov Functions
53(4)
1.9.1 Lower-Semicontinuous Lyapunov Functions
53(1)
1.9.2 The Characterization Theorem
54(2)
1.9.3 Construction of Lyapunov Functions
56(1)
1.10 Approximation of Mutational Equations
57(6)
1.10.1 Euler Schemes
57(3)
1.10.2 Viable Subsets under a Discrete System
60(1)
1.10.3 The Viability Kernel Algorithm
61(2)
2 Mutational Analysis
63(36)
Introduction 63(3)
2.1 Mutations of Set-Valued Maps
66(3)
2.2 The Mutational Invariant Manifold Theorem
69(6)
2.2.1 The Decomposable Case
70(4)
2.2.2 The General Case
74(1)
2.3 Control of Mutational Systems
75(7)
2.3.1 Feedback Maps
75(3)
2.3.2 Stabilization
78(1)
2.3.3 Dynamical Feedbacks
79(2)
2.3.4 Optimal Control
81(1)
2.4 Inverse Function Theorems on Metric Spaces
82(5)
2.4.1 Zeros of Functions
82(1)
2.4.2 The Constrained Inverse Function Theorem
83(3)
2.4.3 The Inverse Set-Valued Map Theorem
86(1)
2.5 Newton's Method
87(1)
2.6 Calculus of Contingent Transition Sets
88(4)
2.6.1 Contingent Transitions to Subsets defined by Equality and Inequality Constraints
89(1)
2.6.2 Contingent Transitions to Intersections and Inverse Images
90(2)
2.7 Doss Integrals on Metric Spaces
92(7)
II Morphological and Set-Valued Analysis 99(166)
3 Morphological Spaces
101(65)
Introduction 101(4)
3.1 Power Maps
105(14)
3.1.1 Set-Valued Maps
108(4)
3.1.2 Embedding Power Spaces into Vector Spaces
112(5)
3.1.3 Inverse Images and Cores
117(2)
3.1.4 Compositions of Maps
117(2)
3.2 The Space of Nonempty Compact Subsets
119(8)
3.2.1 Pompeiu-Hausdorff Topology on the Set of Compact Subsets
119(4)
3.2.2 Support Functions
123(3)
3.2.3 Pompeiu-Hausdorff Distance on the Set of Compact Convex Subsets
126(1)
3.3 Minkowski Operations on Subsets of a Vector Space
127(4)
3.3.1 Dilations and Erosions
128(2)
3.3.2 Minkowski Contents and the Isoperimetric Inequality
130(1)
3.4 Structuring Transitions
131(4)
3.4.1 Structuring Transitions of Power Spaces
132(1)
3.4.2 Basic Concepts of Mathematical Morphology
133(1)
3.4.3 Structuring Mutations of Power Maps
134(1)
3.5 Shape Transitions
135(9)
3.5.1 Shape Transitions on a Vector Space
135(2)
3.5.2 Shape Transitions on a Subset of a Vector Space
137(1)
3.5.3 Shape Transitions on Power Spaces
138(1)
3.5.4 Shape Mutations of Power Maps
139(1)
3.5.5 Shape Derivatives
140(1)
3.5.6 Shape Transitions on Sigma-Algebra
141(3)
3.6 Mutation of Level Sets of Smooth Functions
144(3)
3.7 Morphological Transitions
147(9)
3.7.1 Morphological Transitions on Compact Sets
147(5)
3.7.2 Morphological Transitions on a Closed Subsets
152(1)
3.7.3 Morphological Tubes
153(1)
3.7.4 Morphological Mutations of Power Maps
153(2)
3.7.5 Graphical Mutations of Set-Valued Maps
155(1)
3.8 Equivalent Morphological Transitions
156(2)
3.9 Semi-Permeable Sets
158(4)
3.10 The Aumann and Doss Integrals of a Set-Valued Map
162(4)
4 Morphological Dynamics
166(39)
Introduction 166(4)
4.1 Morphological Equations
170(8)
4.1.1 Morphological Primitives
170(1)
4.1.2 Morphological Cauchy-Lipschitz's Theorem
171(1)
4.1.3 Morphological Equation for Interval Analysis
172(1)
4.1.4 Steiner Morphological Equation
173(1)
4.1.5 Morphological Nagumo's Theorem
174(1)
4.1.6 Morphological Equilibrium
175(1)
4.1.7 Travelling Waves of Graphical Equations
176(1)
4.1.8 The Morphological Invariant Manifold Theorem
177(1)
4.2 Contingent Sets to Families of Compact Subsets
178(8)
4.2.1 Paratingent Cones
178(1)
4.2.2 Intersectability
179(3)
4.2.3 Confinement
182(4)
4.3 Intersectable and Confined Tubes
186(5)
4.3.1 Viability of Tubes Governed by Morphological Equations
186(1)
4.3.2 Intersectable Tubes
187(2)
4.3.3 Confined Tubes
189(2)
4.4 Epimutation of a Marginal Function
191(7)
4.5 Asymptotic Stability of a Target
198(4)
4.5.1 Asymptotic Targeting
198(3)
4.5.2 Dissipative Systems
201(1)
4.6 Morphological Control and Application to Visual Control
202(3)
4.6.1 Morphological Controlled Problems
202(1)
4.6.2 Example: Visual Control
203(2)
5 Set-Valued Analysis
205(60)
Introduction 205(5)
5.1 Graphical and Epigraphical Sums and Differences
210(9)
5.1.1 Graphical sums and differences of Maps
210(3)
5.1.2 Episums and Epidifferences of Functions
213(2)
5.1.3 Toll Sets
215(4)
5.2 Limits of Sets
219(12)
5.2.1 Definitions
219(1)
5.2.2 Calculus of Limits
220(2)
5.2.3 Painleve-Kuratowski and Pompeiu-Hausdorff Limits
222(2)
5.2.4 Graphical Convergence of Maps
224(1)
5.2.5 Epilimits
225(1)
5.2.6 Semicontinuous Maps
226(2)
5.2.7 The Marginal Selection
228(3)
5.3 Graphical Derivatives of Set-Valued Maps
231(7)
5.3.1 Contingent Derivatives
231(4)
5.3.2 Contingent Epiderivatives
235(2)
5.3.3 Derivatives of Distance Functions to a Map
237(1)
5.4 Morphological Mutations and Contingent Derivatives
238(3)
5.5 Examples of Contingent Derivatives
241(5)
5.5.1 Derivatives of Level-Set Tubes
241(2)
5.5.2 Derivatives of Morphological Tubes
243(2)
5.5.3 Contingent Derivative of the Transport of a Set-Valued Map
245(1)
5.6 Morphological Primitives
246(7)
5.7 Graphical Primitives
253(2)
5.8 Contingent Infinitesimal Generator of a Koopman Process
255(6)
5.9 Jump Maps of Distributions
261(4)
5.9.1 Weak Derivatives: Distribution and Contingent Derivatives
261(1)
5.9.2 Vector Distributions
262(1)
5.9.3 Upper Jump Map of a Distribution
263(2)
III Geometrical and Algebraic Morphology 265(90)
6 Morphological Geometry
267(52)
Introduction 267(4)
6.1 Projectors and Proximal Normals
271(10)
6.1.1 Projections and Proximal Normals
271(3)
6.1.2 Skeleta
274(1)
6.1.3 Monotonicity Properties of the Projector
275(3)
6.1.4 Normals
278(2)
6.1.5 The Convex Core of a Closed Subset
280(1)
6.2 Derivatives of Distance Functions
281(3)
6.3 Derivatives of Projectors
284(5)
6.4 Discriminating Domains of Hamiltonians
289(5)
6.4.1 Dual Characterization of Semi-Permeability
289(3)
6.4.2 Cardaliaguet's Discriminating Domains and Kernels
292(2)
6.5 Dual Characterizations
294(10)
6.5.1 Convex Processes and their Transposes
294(1)
6.5.2 Codifferentials
295(1)
6.5.3 Subdifferentials and Generalized Gradients
296(2)
6.5.4 Codifferential of Level-Set Tubes
298(2)
6.5.5 Codifferential of Morphological Primitives
300(1)
6.5.6 Cardaliaguet's Solutions to Front Propagation Problems
301(1)
6.5.7 Dual Formulation of Graphical Derivatives
302(1)
6.5.8 Dual Formulation of Frankowska's Solutions to Hamilton-Jacobi Equations
303(1)
6.6 Chronector and Brachynormals
304(6)
6.6.1 Hitting time
305(1)
6.6.2 Chronector and Brachynormals
306(3)
6.6.3 Derivative of the Chronector
309(1)
6.7 Morphological Analysis on Grids: Digitalization
310(9)
6.7.1 Gauge of Structuring Elements
310(2)
6.7.2 Digital Distances
312(4)
6.7.3 Projections and Normal Proximals
316(3)
7 Morphological Algebra
319(36)
Introduction 319(2)
7.1 Dioids, Lattices and their Morphisms
321(10)
7.1.1 Dioids
321(3)
7.1.2 Lattices
324(1)
7.1.3 Morphisms of Dioids and Lattices
325(3)
7.1.4 Quasi-Inverses
328(1)
7.1.5 Noetherian Idealoids
329(2)
7.2 Examples of Morphological Morphisms
331(12)
7.2.1 Morphisms Associated with a Set-Valued Map
332(1)
7.2.2 Viability Kernels and Absorption Basins
333(4)
7.2.3 Topological Properties
337(3)
7.2.4 Limit Sets
340(1)
7.2.5 Basins of Attraction
341(2)
7.3 Galois Transform
343(7)
7.4 Vicarious Temporal Logic
350(5)
7.4.1 Nonconsistent Logic Associated with a Closing
350(1)
7.4.2 The Algebra of Closed Subsets
351(1)
7.4.3 Vicarious Temporal Frames
352(3)
IV Appendix 355(29)
8 Differential Inclusions: A Tool-Box
357(27)
Introduction 357(1)
8.1 Set Topologies
358(8)
8.1.1 Hausdorff Topology on the Set of Closed Subsets
358(4)
8.1.2 Hausdorff-Lebesgue Topology
362(1)
8.1.3 The Oriented Topology
363(3)
8.2 Variational Equations and the Coarea Formula
366(4)
8.2.1 Linear Systems
366(2)
8.2.2 The Variational Equation
368(1)
8.2.3 The Coarea Theorem
369(1)
8.3 The Gronwall and Filippov Estimates
370(2)
8.3.1 The Gronwall Lemma
370(1)
8.3.2 The Filippov Theorem
371(1)
8.4 Viability Theory at a Glimpse
372(3)
8.5 Differential Inclusions for Maximal Monotone Maps
375(9)
8.5.1 Monotone and Maximal Monotone Maps
375(2)
8.5.2 Yosida Approximations
377(1)
8.5.3 The Crandall-Pazy Theorem
378(1)
8.5.4 Nonhomogeneous Differential Inclusions
379(5)
Bibliographical Comments 384(11)
Bibliography 395(26)
Index 421

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