Preface |
Introduction |
Probabilities on vector spaces / I: |
Preparations: Linear operators on finite-dimensional vector spaces / 1.1: |
Notations (in particular for Chapter I) |
Discrete one-parameter groups of operators / II: |
Continuous one-parameter groups of operators / III: |
Linear groups / IV: |
Full probability measures and convergence of types / 1.2: |
Operator-semistable laws and operator-stable laws / 1.3: |
Definition and Levy-Khinchin representation |
Annexe: More on infinitely divisible laws |
Levy measures of operator- (semi-) stable laws / 1.4: |
Levy measures of operator-semistable laws |
Levy measures of operator-stable laws |
Algebraic characterization of operator- (semi-) stability / 1.5: |
The structure of Lin ([mu]) |
Subordination and (semi-) stability |
A randomized characterization of operator-stability |
Operator- (semi-) stable laws as limit distributions / 1.6: |
Domains of operator- (semi-) attraction |
Annexe: More on limits of infinitely divisible laws |
More on domains of operator semi-attraction |
Properties of operator- (semi-) stable laws / 1.7: |
Exponents of operator-stable laws / 1.8: |
Elliptical symmetry and large symmetry groups / 1.9: |
Elliptically symmetric operator- (semi-) stable laws |
Large symmetry groups |
Domains of normal operator attraction / 1.10: |
Stable laws |
Remarks on operator-semistable laws |
Moments and domains of attraction |
The existence of commuting normalizations / 1.11: |
More on the structure of the decomposability group Lin([mu]) / 1.12: |
Semistability and strict semistability |
Jordan decomposition and spectrum of normalizing operators |
Marginal distributions of operator (semi-) stable laws |
More on convergence of types theorems / 1.13: |
Types and transformation groups |
Applications of the convergence of types theorem |
Finite-dimensional vector spaces |
A method to construct full measures, given B |
Some examples / V: |
Stochastic compactness and regular variation properties / VI: |
Probabilities with idempotent type. [Gamma]-stable and completely stable measures / 1.14: |
Examples and counterexamples / 1.15: |
Operator-stable laws on V = R[superscript 2] and R[superscript 3] |
Subordination of stable laws |
Probabilities with discrete symmetry group on V = R[superscript 2] |
Marginal distributions of operator stable laws |
Convergence of types and idempotent types |
Limit laws and domains of attraction |
Commuting normalizations / VII: |
References and comments for Chapter I / 1.16: |
Probabilities on simply connected nilpotent Lie groups |
Probabilities on locally compact groups: Some fundamental theorems / 2.0: |
Continuous convolution semigroups and the structure of generating functionals |
Convergence of continuous convolution semigroups |
Discrete convolution semigroups |
Embedding theorems |
Annexe: Supports of convolution semigroups |
Discrete and continuous convolution semigroups: The translation procedure / 2.1: |
Automorphisms and contractible Lie groups. Some basic facts |
Some examples of contractible Lie groups |
Convergence of types and full measures / 2.2: |
Simply connected nilpotent Lie groups |
Some generalizations |
Semistable and stable continuous convolution semigroups on simply connected nilpotent Lie groups / 2.3: |
Levy measures of stable and semistable laws / 2.4: |
Levy measures of semistable laws |
Levy measures of stable laws |
Algebraic characterization of (semi-) stability / 2.5: |
The structure of Lin([mu]) |
The structure of Inv([mu]), resp. Inv(A) |
Subordination and semistability |
(Semi-) stable laws as limit distributions / 2.6: |
Limit theorems and uniqueness of embedding for semistable laws |
Domains of (semi-) attraction |
Properties of (semi-) stable laws / 2.7: |
Absolute continuity and purity laws |
Gaussian and Bochner stable measures |
Holomorphic convolution semigroups |
Moments of (semi-) stable laws |
Exponents of stable laws / 2.8: |
Elliptical symmetry and large invariance groups / 2.9: |
Domains of normal attraction / 2.10: |
Stable and semistable laws |
Probabilities with idempotent type: [Gamma]-stable and completely stable measures / 2.11: |
Idempotent (infinitesimal) [Gamma]-types and [Gamma]-stable laws |
Complete stability |
Marginals and complete stability |
Intrinsic definitions of semistability |
Domains of partial attraction and random limit theorems on groups and vector spaces / 2.12: |
The existence of universal laws (Doeblin laws) |
Stochastic compactness |
Random limit theorems: Independent random times |
Geometric (semi-) stability / 2.13: |
Geometric convolutions |
Properties of geometric and exponential distributions |
Characterization of geometric convolutions and exponential mixtures |
Geometric semistability |
Geometric domains of attraction |
Illustrations and examples for vector spaces G = V |
More arithmetic properties of geometric convolutions |
Remarks on self-decomposable laws on vector spaces and on groups / 2.14: |
The decomposability semigroup D([mu]) |
Self-decomposability |
Cocycle equations, background driving processes and generalized Ornstein-Uhlenbeck processes |
Stable hemigroups and self-similar processes |
Space-time processes |
Processes on G and on V |
Background driving processes with logarithmic moments |
Full self-decomposable distributions and limit laws / VIII: |
Generalizations and examples / IX: |
More limit theorems on G and V: Mixing properties and dependent random times / 2.15: |
A theorem of H. Cramer |
Limit theorems for mixing arrays of random variables |
Random limit theorems in the domain of attraction of (semi-) stable laws: Dependent random times |
References and comments for Chapter II / 2.16: |
(Semi-) stability and limit theorems on general locally compact groups |
Contractive automorphisms on locally compact groups / 3.1: |
Contractive automorphisms and contractible groups |
Totally disconnected contractible groups |
The structure theorem for contractible groups |
Contractive one-parameter automorphism groups |
Some more structure theorems for discrete automorphism groups |
Automorphisms contracting modulo a compact subgroup K / 3.2: |
Contraction mod K |
The structure theorem: C[subscript K]([tau]) = C([tau])[middle dot]K for discrete automorphism groups acting on a Lie group |
Borel cross-sections for the action of C([tau]) on C[subscript K]([tau]) (discrete automorphism groups) |
Continuous automorphism groups |
The structure theorem: C[subscript K](T) = C(T) [times sign, right closed] K for continuous automorphism groups |
The structure of C[subscript K]([tau]) for p-adic Lie groups |
Examples, counterexamples and some more structure theory / 3.3: |
Contractible and K-contractible Lie groups |
Automorphisms of compact groups |
Infinite-dimensional tori and solenoidal groups |
Retopologization of C([tau]): Intrinsic topologies of contractible groups |
(Semi-) stable convolution semigroups with trivial idempotents / 3.4: |
General definitions of strictly (semi-) stable convolution semigroups |
(Semi-) stable continuous convolution semigroups with trivial idempotents |
Some examples and further remarks |
(Semi-) stable convolution semigroups with nontrivial idempotents / 3.5: |
Semistable convolution semigroups on Lie groups with nontrivial idempotents |
Stable convolution semigroups with nontrivial idempotents |
Semistable submonogeneous semigroups on Lie groups |
Semistable convolution semigroups with nontrivial idempotents on p-adic Lie groups |
More on probabilities on contractible groups / 3.6: |
Domains of partial attraction on contractible groups |
The existence of Doeblin laws on contractible groups |
A translation procedure for contractible locally compact groups |
Point processes on groups and continuous convolution semigroups |
Limit laws and convergence of types theorems. A survey / 3.7: |
Limits of discrete convolution semigroups with nontrivial idempotents |
Convergence of types theorems |
Applications to semistability |
Limit laws on compact extensions of contractible groups N [times sign, right closed] K |
References and comments for Chapter III / 3.8: |
Epilogue |
Bibliography |
List of Symbols |
Index |
Preface |
Introduction |
Probabilities on vector spaces / I: |
Preparations: Linear operators on finite-dimensional vector spaces / 1.1: |
Notations (in particular for Chapter I) |
Discrete one-parameter groups of operators / II: |