Classical Potential Theory and Its Probabilistic Counterpart: Advanced Problems

Front Cover
Springer Science & Business Media, Jan 30, 1984 - Mathematics - 847 pages
Potential theory and certain aspects of probability theory are intimately related, perhaps most obviously in that the transition function determining a Markov process can be used to define the Green function of a potential theory. Thus it is possible to define and develop many potential theoretic concepts probabilistically, a procedure potential theorists observe withjaun diced eyes in view of the fact that now as in the past their subject provides the motivation for much of Markov process theory. However that may be it is clear that certain concepts in potential theory correspond closely to concepts in probability theory, specifically to concepts in martingale theory. For example, superharmonic functions correspond to supermartingales. More specifically: the Fatou type boundary limit theorems in potential theory correspond to supermartingale convergence theorems; the limit properties of monotone sequences of superharmonic functions correspond surprisingly closely to limit properties of monotone sequences of super martingales; certain positive superharmonic functions [supermartingales] are called "potentials," have associated measures in their respective theories and are subject to domination principles (inequalities) involving the supports of those measures; in each theory there is a reduction operation whose properties are the same in the two theories and these reductions induce sweeping (balayage) of the measures associated with potentials, and so on.

From inside the book

Contents

Chapter I
3
Function Averages
4
MaximumMinimum Theorem for Harmonic Functions
5
The Fundamental Kernel for RN and Its Potentials
6
Gauss Integral Theorem
7
The Smoothness of Potentials The Poisson Equation
8
Harmonic Measure and the Riesz Decomposition
11
Chapter VII
12
Optional Stopping
442
Conditional Maximal Inequalities
444
Crossings
445
Forward Convergence in the L¹ Bounded Case
450
Convergence of a Uniformly Integrable Martingale
451
Forward Convergence of a Right Closable Supermartingale
453
Backward Convergence of a Martingale
454
Backward Convergence of a Supermartingale
455

Chapter II
14
Harnacks Inequality
16
Convergence of Directed Sets of Harmonic Functions
17
Harmonic Subharmonic and Superharmonic Functions
18
Minimum Theorem for Superharmonic Functions
20
Application of the Operation T
21
Characterization of Superharmonic Functions in Terms of Harmonic Functions
22
Differentiable Superharmonic Functions 9 Application of Jensens Inequality
23
Superharmonic Functions on an Annulus
24
Examples
25
The Kelvin Transformation N
26
Chapter IX
27
The Fatou Boundary Limit Theorem
31
Fundamental Convergence Theorem Preliminary Version
37
The Natural Pointwise Order Decomposition for Positive Superharmonic
43
Uniqueness of the Measure Determining a Potential
50
Chapter V
57
Greenian Sets in R2 as the Complements of Nonpolar Sets
63
Green Functions
66
Further Properties of
90
Chapter VIII
98
Examples
104
Properties of PWB Solutions
110
12
123
hHarmonic Measure u as a Function of D
131
Interpretation of as a Green Function with Pole N
140
Lattices and Related Classes of Functions
141
The Class Dµ³½
142
The Class Lºµ½ p 1
144
The Lattices S and S
145
The Vector Lattice S
146
The Vector Lattice Sm
148
The Vector Lattice Sp
149
The Vector Lattice S qb
150
The Vector Lattice S
151
A Refinement of the Riesz Decomposition
152
Chapter X
155
Relation between Harmonic Measure and the Sweeping Kernel
157
Sweeping Symmetry Theorem
158
Swept Measures and Functions
160
Some Properties of 84
161
Poles of a Positive Harmonic Function
163
Relative Harmonic Measure on a Polar Set
164
Chapter XI
166
A Thinness Criterion
168
Conditions That EA
170
An Internal Limit Theorem
171
Extension of the Fine Topology to RU 0
175
The Fine Topology Derived Set of a Subset of Rˇ
177
Fine Topology Limits and Euclidean Topology Limits
178
Fine Topology Limits and Euclidean Topology Limits Continued
179
Identification of A¹ in Terms of a Special Function u
180
Regularity in Terms of the Fine Topology
181
The Euclidean Boundary Set of Thinness of a Greenian Set
182
The Support of a Swept Measure
183
A Special Reduction
184
The Support of a Swept Measure Continuation of Section 14
185
Superharmonic Functions on FineOpen Sets
187
Limits of Superharmonic Functions at Irregular Boundary Points of Their
190
The Martin Functions
196
Reductions on the Set of Minimal Martin Boundary Points
203
The MinimalFine Topology
210
MinimalFine Topology Limits and Martin Topology Limits at a Minimal
216
Nontangential and MinimalFine Limits at a Halfspace Boundary
222
Charges and Their Energies
228
Alternative Proofs of Theorem 7b
235
Sharpening of Lemma 4
237
Inner and Outer Capacities Notation of Section 10
240
Extremal Property Characterizations of Equilibrium Potentials Notation of Section 10
241
Expressions for CA
243
The Gauss Minimum Problems and Their Relation to Reductions
244
Dependence of C on D
247
Energy Relative to R²
248
The Wiener Thinness Criterion
249
The Robin Constant and Equilibrium Measures Relative to R2 N 2
251
Chapter XIV
256
Smoothness Properties of Superharmonic and Subharmonic Functions
257
Green Functions
258
Potentials of Measures
259
Riesz Decomposition
260
The Martin Boundary
261
Chapter XV
262
The Parabolic and Coparabolic Operators
263
Coparabolic Polynomials
264
The Parabolic Green Function of R¹
266
MaximumMinimum Parabolic Function Theorem
267
Application of Greens Theorem
269
The Parabolic Green Function of a Smooth Domain The Riesz Decom position and Parabolic Measure Formal Treatment
270
The Green Function of an Interval
272
Parabolic Measure for an Interval
273
Parabolic Averages
275
Harnacks Theorems in the Parabolic Context
276
Superparabolic Functions
277
Superparabolic Function Minimum Theorem
279
The Operation tg and the Defining Average Properties of Superparabolic Functions
280
Superparabolic and Parabolic Functions on a Cylinder
281
The Appell Transformation
282
Extensions of a Parabolic Function Defined on a Cylinder
283
Contents xi
285
A Generalized Superparabolic Function Inequality
287
A Criterion of a Subparabolic Function Supremum
288
A Condition that a Positive Parabolic Function Be Representable by a Poisson Integral
290
The Parabolic Boundary Limit Theorem
292
Minimal Parabolic Functions on a Slab
293
Chapter XVII
295
The Parabolic Context Reduction Operations
296
The Parabolic Green Function
298
Potentials
300
The Smoothness of Potentials
303
Riesz Decomposition Theorem
305
The ParabolicFine Topology
308
Semipolar Sets
309
Preliminary List of Reduction Properties
310
A Criterion of Parabolic Thinness
313
The Parabolic Fundamental Convergence Theorem
314
Applications of the Fundamental Convergence Theorem to Reductions and to Green Functions
316
Applications of the Fundamental Convergence Theorem to the Parabolic Fine Topology
317
Proofs of the Reduction Properties in Section 16
320
The Classical Context Green Function in Terms of the Parabolic Context Green Function N 1
326
The QuasiLindelöf Property
328
Chapter XVIII
329
hParabolic Measure
332
Parabolic Barriers
333
Relations between the Classical Dirichlet Problem and the Parabolic Context Dirichlet Problem
334
Classical Reductions in the Parabolic Context
335
Parabolic Regularity of Boundary Points
337
Parabolic Regularity in Terms of the Fine Topology
341
The Extension Ġ of Ġ and the Parabolic Average Ġ n when DCB
343
Conditions that Є APS
345
Parabolic and CoparabolicPolar Sets
347
Parabolic and CoparabolicSemipolar Sets
348
The Support of a Swept Measure
350
An Internal Limit Theorem The CoparabolicFine Topology Smoothness of Superparabolic Functions
351
Application to a Version of the Parabolic Context Fatou Boundary Limit Theorem on a Slab
357
The Parabolic Context Domination Principle
358
Martin Flat Point Set Pairs
361
Chapter XIX
363
The Martin Functions of Martin Point Set and Measure Set Pairs
364
The Martin Space DM
366
Preparatory Material for the Parabolic Context Martin Representation Theorem
367
Minimal Parabolic Functions and Their Poles
369
The Set of Nonminimal Martin Boundary Points
370
The Martin Representation in the Parabolic Context
371
Martin Boundaries for the Lower Halfspace of RN and for RN
374
The Martin Boundary of D 0 + x 8
375
PWB Solutions on ĎM
377
Boundary Counterpart of Theorem XVIII 14f
379
The Vanishing of Potentials on MD
381
Part 2
385
Chapter I
387
Progressive Measurability
388
Random Variables
390
Contents xiii
391
Conditional Expectation Continuity Theorem
393
Fatous Lemma for Conditional Expectations
396
Dominated Convergence Theorem for Conditional Expectations
397
Stochastic Processes Evanescent Indistinguishable Standard Modi fication Nearly
398
The Hitting of Sets and Progressive Measurability
401
Canonical Processes and FiniteDimensional Distributions
402
Choice of the Basic Probability Space
404
The Hitting of Sets by a Right Continuous Process
405
Measurability versus Progressive Measurability of Stochastic Processes
409
Predictable Families of Functions
410
Chapter II
413
Optional Time Properties Continuous Parameter Context
415
Process Functions at Optional Times
417
Hitting and Entry Times
419
Application to Continuity Properties of Sample Functions
421
Continuation of Section 5
422
Predictable Optional Times
423
Section Theorems
425
The Graph of a Predictable Time and the Entry Time of a Predictable Set
426
Semipolar Subsets of R+ Q
427
The Classes D and LP of Stochastic Processes
428
Decomposition of Optional Times Accessible and Totally Inaccessible Optional Times
429
Chapter III
432
Examples
433
Elementary Properties Arbitrary Simply Ordered Parameter Set
435
The Parameter Set in Martingale Theory
437
Optional Sampling Theorem Bounded Optional Times
438
Optional Sampling Theorem for Right Closed Processes
440
The Natural Order Decomposition Theorem for Supermartingales
457
The Operators LM and GM
458
Supermartingale Potentials and the Riesz Decomposition
459
Application to the Crossing Inequalities
461
Chapter IV
463
Optional Sampling of Uniformly Integrable Continuous Parameter Martingales
468
Optional Sampling and Convergence of Continuous Parameter Supermartingales
470
Increasing Sequences of Supermartingales
473
Probability Version of the Fundamental Convergence Theorem of Potential Theory
476
QuasiBounded Positive Supermartingales Generation of Supermartingale Potentials by Increasing Processes
480
Natural versus Predictable Increasing Processes I Z or R
483
Generation of Supermartingale Potentials by Increasing Processes in the Discrete Parameter Case
488
An Inequality for Predictable Increasing Processes
489
Generation of Supermartingale Potentials by Increasing Processes for Arbitrary Parameter Sets
490
The Meyer Decomposition
493
Meyer Decomposition of a Submartingale
495
Role of the Measure Associated with a Supermartingale The Supermartingale Domination Principle
496
The Operators τ LM and GM in the Continuous Parameter Context
500
Potential Theory on R+ N
501
The Fine Topology of R
502
Potential Theory Reductions in a Continuous Parameter Probability Context
504
Reduction Properties
505
Proofs of the Reduction Properties in Section 18
509
Evaluation of Reductions
513
The Energy of a Supermartingale Potential
515
The Subtraction of a Supermartingale Discontinuity
516
Supermartingale Decompositions and Discontinuities
518
Chapter V
520
x when x F Is a Submartingale
521
Contents XV
523
LP Bounded Stochastic Processes p 1
524
The Lattices S S S S
525
The Vector Lattices S and S
528
The Vector Lattices Sm and Sm
529
The Vector Lattices S and Sp
530
The Vector Lattices Sqb and Sqb
531
The Vector Lattices S and S
532
The Orthogonal Decompositions Sm Smqb + Sms and Sm Smgb + Sms
533
Local Martingales and Singular Supermartingale Potentials in S
534
Quasimartingales Continuous Parameter Context
535
Chapter VI
539
Choice of Filtration
544
Integral Parameter Markov Processes with Stationary Transition Proba bilities
545
Application of Martingale Theory to Discrete Parameter Markov Processes
547
Continuous Parameter Markov Processes with Stationary Transition Probabilities
550
Specialization to Right Continuous Processes
552
Lifetimes and Trap Points
554
Right Continuity of Markov Process Filtrations A ZeroOne 01 Law
556
Strong Markov Property
557
Probabilistic Potential Theory Excessive Functions
560
Excessive Functions and Supermartingales
564
Excessive Functions and the Hitting Times of Analytic Sets Notation and Hypotheses of Section 11
565
Conditioned Markov Processes
566
Tied Down Markov Processes
567
Killed Markov Processes
568
Chapter VII
570
Brownian Motion
572
Continuity of Brownian Paths
576
Brownian Motion Filtrations
578
Elementary Properties of the Brownian Transition Density and Brownian Motion
581
The ZeroOne Law for Brownian Motion
583
Tied Down Brownian Motion
586
André Reflection Principle
587
Brownian Motion in an Open Set N 1
589
SpaceTime Brownian Motion in an Open Set
592
Brownian Motion in an Interval
594
Probabilistic Evaluation of Parabolic Measure for an Interval
595
Probabilistic Significance of the Heat Equation and Its Dual
596
Chapter VIII
599
The Size of To
601
Properties of the Itô Integral
602
The Stochastic Integral for an Integrand Process in To
605
Proofs of the Properties in Section 3
607
Extension to VectorValued and ComplexValued Integrands
611
Martingales Relative to Brownian Motion Filtrations
612
A Change of Variables
615
The Role of Brownian Motion Increments
618
N1 Computation of the Itô Integral by RiemannStieltjes Sums
620
Itôs Lemma
621
The Composition of the Basic Functions of Potential Theory with Brownian Motion
625
The Composition of an Analytic Function with Brownian Motion
626
Brownian Motion and Martingale Theory
627
Coparabolic Polynomials and Martingale Theory
630
Superharmonic and Harmonic Functions on RN and Supermartingales and Martingales
632
Hitting of an F Set
635
The Hitting of a Set by Brownian Motion
636
Superharmonic Functions Excessive for Brownian Motion
637
Preliminary Treatment of the Composition of a Superharmonic Function with Brownian Motion A Probabilistic Fatou Boundary Limit Theorem
641
Excessive and Invariant Functions for Brownian Motion
645
Application to Hitting Probabilities and to Parabolicity of Transition Densities
647
N 2 The Hitting of Nonpolar Sets by Brownian Motion
648
Continuity of the Composition of a Function with Brownian Motion
649
Continuity of Superharmonic Functions on Brownian Motion
650
Preliminary Probabilistic Solution of the Classical Dirichlet Problem
651
Probabilistic Evaluation of Reductions
653
Probabilistic Description of the Fine Topology
656
aExcessive Functions for Brownian Motion and Their Composition with Brownian Motions
659
Brownian Motion Transition Functions as Green Functions The Corre sponding Backward and Forward Parabolic Equations
661
Excessive Measures for Brownian Motion
663
Nearly Borel Sets for Brownian Motion
666
Conditional Brownian Motion
668
hBrownian Motion in Terms of Brownian Motion
671
Contexts for 2 1
676
Asymptotic Character of hBrownian Paths at Their Lifetimes
677
hBrownian Motion from an Infinity of h
680
Brownian Motion under Time Reversal
682
Preliminary Probabilistic Solution of the Dirichlet Problem for hHarmonic Functions hBrownian Motion Hitting Probabilities and the Corresponding ...
684
Probabilistic Boundary Limit and Internal Limit Theorems for Ratios of Strictly Positive Superharmonic Functions
688
Conditional Brownian Motion in a Ball
691
Conditional Brownian Motion Last Hitting Distributions The Capacitary Distribution of a Set in Terms of a Last Hitting Distribution
693
The Tail σ Algebra of a Conditional Brownian Motion
694
Conditional SpaceTime Brownian Motion
699
SpaceTime Brownian Motion in R RN with Parameter Set R
700
Part 3
703
Chapter I
705
Relations between Decomposition Components of S in Potential Theory and Martingale Theory
706
PWBRelated Conditions on hHarmonic Functions and on Martingales
707
Class D Property versus QuasiBoundedness
708
A Condition for QuasiBoundedness
709
Singularity of an Element of S
710
The Singular Component of an Element of S
711
The Class Spqb
712
The Class Sps
714
Lattice Theoretic Analysis of the Composition of an hSuperharmonic Function with an hBrownian Motion
715
A Decomposition of S Potential Theory Context
716
Continuation of Section 11
717
Chapter II
719
Probabilistic Analysis of the PWB Method
720
PWB Examples
723
Tail o Algebras in the PWB Context
725
Chapter III
727
Brownian Motions from Martin Boundary Points Notation of Section 1
728
The ZeroOne Law at a Minimal Martin Boundary Point and the Probabilistic Formulation of the MinimalFine Topology Notation of Section 1
730
The Probabilistic Fatou Theorem on the Martin Space
732
Probabilistic Approach to Theorem 1 XI 4c and Its Boundary Counterparts
733
Martin Representation of Harmonic Functions in the Parabolic Context
735
Appendixes
739
Appendix I
741
Sets Analytic over a Product Paving
742
Analytic Extensions versus σ Algebra Extensions of Pavings
743
The Operation A
744
Extension of a Measurability Concept to the Analytic Operation Context
745
Polish Spaces
746
Analytic Sets
747
Analytic Subsets of Polish Spaces
748
Appendix II
750
Choquet Capacity Theorem
751
A Fundamental Example of a Choquet Capacity
752
Generation of a Choquet Capacity by a Positive Strongly Subadditive Set Function
753
Topological Precapacities
755
Universally Measurable Sets
756
Lattice Theory
758
The Specific Order Generated by a Cone
759
Vector Lattices
760
Decomposition Property of a Vector Lattice
762
Projections on Bands
763
The Orthogonal Complement of a Set
764
Order Convergence
765
Order Convergence on a Linearly Ordered Set
766
Appendix IV
767
Composition of Functions
768
The Measure Lattice of a Measurable Space
769
The Finite Measure Lattice of a Measurable Space Notation of Section 4
771
The Hahn and Jordan Decompositions
772
Absolute Continuity and Singularity
773
Lattices of Measurable Functions on a Measure Space
774
Order Convergence of Families of Measurable Functions
775
Measures on Polish Spaces
777
Derivates of Measures
778
Appendix V
779
Appendix VI
781
Universally Measurable Extension of a Kernel
782
Appendix VII
785
Ratio Integral Limit Theorems
786
A Ratio Integral Limit Theorem Involving Convex Variational Derivates
788
Lower Semicontinuous Functions
791
Part 2
806
Bibliography
819
64
823
Copyright

Other editions - View all

Common terms and phrases

Bibliographic information