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Preface xi
Acknowledgments xxiii
A Gentle Tutorial to All Things Considered 1
Introduction 1
Measurable Spaces 2
Polish and Analytic Spaces 7
Metric Spaces 8
Polish Spaces: Elementary Properties 11
Manipulating Polish Topologies 17
Analytic Spaces 21
Measurable Selectors 32
Probability Measures 36
Regularity and Tightness 38
Weak Topology 41
Disintegration 51
Applications of the [pi]-[lambda]-Theorem 57
Projective Systems 59
Categories 62
The Subprobability Functor 65
Natural Transformations 70
Adjunctions, Monads, Algebras and the Kleisli Construction 72
Bibliographic Notes 81
Stochastic Relations as Monads 83
Introduction 83
The Manes Monad 85
The Giry Monad 87
Adding a Monoid 87
Stochastic Relations 91
Case Study: Architectural Modeling through Monads 95
A First Example 99
First Steps 101
The Basic Construction 105
Stratifying Graphs 109
The General Case 112
System Evolution 120
Related Approaches 125
Bibliographic Notes 128
Eilenberg-Moore Algebras for Stochastic Relations 131
Introduction 131
Characterization through Equivalence Relations 133
Preparations 133
Positive Convex Partitions 135
Smooth Relations 139
Positive Convex Structures 143
Algebras through Positive Convex Structures 144
Examples 147
Monad Multiplication 148
The Finite Case 148
The Unit Interval 150
Barycenter 150
The Left Adjoint 152
Bibliographic Notes 155
The Existence of Semi-Pullbacks 157
Introduction 157
A Road Map 158
Extending Semi-Pullbacks of Measures 162
The Compact Case 164
The General Polish Case 167
The Existence of Semi-Pullbacks 173
The Polish Case 173
The Analytic Case 175
Bibliographic Notes 177
Congruences and Bisimulations 179
Introduction 179
Smooth Equivalence Relations 181
Invariant Borel Sets 182
Operations on Smooth Relations 184
A Confluence Property 190
Simulation Equivalence 194
Factoring 198
Congruences 199
Isomorphism Theorems 202
Bisimulations 205
Behavioral Equivalence and a Portmanteau 215
2-Bisimulations 217
Simple Relations 223
The Polish Case 224
The Analytic Case 225
Case Study: The Converse of a Stochastic Relation 229
Converse Relations 233
Preserving Bisimilarity 238
Case Study: Simple Relations for Counting 242
Left to Right Maxima 242
Williams' Algorithm to Construct Heaps 244
Bibliographic Notes 248
Interpreting Modal and Temporal Logics 251
Introduction 251
Modal Logics 253
Examples 256
Refinements 259
Bisimulations for Kripke Models 263
Projective Limits for Interpreting Temporal Logics 271
Setting the Stage: Infinite Paths 272
Independence and Zeno Paths 279
F-Bisimulations for CSL 283
Interpreting the Logic 284
Definition and Properties of [rho superscript F] 286
Closure Operations 292
F-Bisimulations 294
Logical Equivalence for [micro]CSL 298
The Logic [micro]CSL 299
Models for [micro]CSL and Their Morphisms 300
Interpreting [micro]CSL 303
Congruences 310
Logical Equivalence and Bisimilarity 316
Bibliographic Notes 325
Notations 327
Categories 327
Spaces 328
Other 328
Bibliography 331
Index 339
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Add Stochastic Relations: Foundations for Markov Transition Systems, Collecting information previously scattered throughout the vast literature, including the author's own research, Stochastic Relations: Foundations for Markov Transition Systems develops the theory of stochastic relations as a basis for Markov trans, Stochastic Relations: Foundations for Markov Transition Systems to your collection on WonderClub |