Narrow your search

Library

AP (4)

KDG (4)

KU Leuven (4)

Odisee (4)

Thomas More Kempen (4)

Thomas More Mechelen (4)

ULB (4)

ULiège (4)

VIVES (4)

VUB (4)

More...

Resource type

book (7)

digital (4)


Language

English (9)


Year
From To Submit

2024 (2)

2017 (2)

2011 (2)

2010 (3)

Listing 1 - 9 of 9
Sort by

Digital
Markov Paths, Loops and Fields : École d'Été de Probabilités de Saint-Flour XXXVIII – 2008
Author:
ISBN: 9783642212161 Year: 2011 Publisher: Berlin, Heidelberg Springer Berlin Heidelberg

Loading...
Export citation

Choose an application

Bookmark

Abstract


Book
Random Walks and Physical Fields
Author:
ISBN: 9783031579233 Year: 2024 Publisher: Cham : Springer Nature Switzerland : Imprint: Springer,

Loading...
Export citation

Choose an application

Bookmark

Abstract

This book presents fundamental relations between random walks on graphs and field theories of mathematical physics. Such relations have been explored for several decades and remain a rapidly developing research area in probability theory. The main objects of study include Markov loops, spanning forests, random holonomies, and covers, and the purpose of the book is to investigate their relations to Bose fields, Fermi fields, and gauge fields. The book starts with a review of some basic notions of Markovian potential theory in the simple context of a finite or countable graph, followed by several chapters dedicated to the study of loop ensembles and related statistical physical models. Then, spanning trees and Fermi fields are introduced and related to loop ensembles. Next, the focus turns to topological properties of loops and graphs, with the introduction of connections on a graph, loop holonomies, and Yang–Mills measure. Among the main results presented is an intertwining relation between merge-and-split generators on loop ensembles and Casimir operators on connections, and the key reflection positivity property for the fields under consideration. Aimed at researchers and graduate students in probability and mathematical physics, this concise monograph is essentially self-contained. Familiarity with basic notions of probability, Poisson point processes, and discrete Markov chains are assumed of the reader.


Book
Markov Paths, Loops and Fields : École d'Été de Probabilités de Saint-Flour XXXVIII - 2008
Authors: ---
ISBN: 9783642212161 Year: 2011 Publisher: Berlin Heidelberg Springer Berlin Heidelberg

Loading...
Export citation

Choose an application

Bookmark

Abstract

The purpose of these notes is to explore some simple relations between Markovian path and loop measures, the Poissonian ensembles of loops they determine, their occupation fields, uniform spanning trees, determinants, and Gaussian Markov fields such as the free field. These relations are first studied in complete generality for the finite discrete setting, then partly generalized to specific examples in infinite and continuous spaces.


Multi
Random Walks and Physical Fields
Authors: ---
ISBN: 9783031579233 9783031579226 9783031579240 9783031579257 Year: 2024 Publisher: Cham Springer Nature Switzerland :Imprint: Springer

Loading...
Export citation

Choose an application

Bookmark

Abstract

This book presents fundamental relations between random walks on graphs and field theories of mathematical physics. Such relations have been explored for several decades and remain a rapidly developing research area in probability theory. The main objects of study include Markov loops, spanning forests, random holonomies, and covers, and the purpose of the book is to investigate their relations to Bose fields, Fermi fields, and gauge fields. The book starts with a review of some basic notions of Markovian potential theory in the simple context of a finite or countable graph, followed by several chapters dedicated to the study of loop ensembles and related statistical physical models. Then, spanning trees and Fermi fields are introduced and related to loop ensembles. Next, the focus turns to topological properties of loops and graphs, with the introduction of connections on a graph, loop holonomies, and Yang–Mills measure. Among the main results presented is an intertwining relation between merge-and-split generators on loop ensembles and Casimir operators on connections, and the key reflection positivity property for the fields under consideration. Aimed at researchers and graduate students in probability and mathematical physics, this concise monograph is essentially self-contained. Familiarity with basic notions of probability, Poisson point processes, and discrete Markov chains are assumed of the reader.


Book
The geometry of filtering
Authors: --- ---
ISBN: 3034601751 9786612982675 303460176X 1282982672 Year: 2010 Publisher: Basel : Springer,

Loading...
Export citation

Choose an application

Bookmark

Abstract

Filtering is the science of nding the law of a process given a partial observation of it. The main objects we study here are di usion processes. These are naturally associated with second-order linear di erential operators which are semi-elliptic and so introduce a possibly degenerate Riemannian structure on the state space. In fact, much of what we discuss is simply about two such operators intertwined by a smooth map, the projection from the state space to the observations space", and does not involve any stochastic analysis. From the point of view of stochastic processes, our purpose is to present and to study the underlying geometric structure which allows us to perform the ltering in a Markovian framework with the resulting conditional law being that of a Markov process which is time inhomogeneous in general. This geometry is determined by the symbol of the operator on the state space which projects to a symbol on the observation space. The projectible symbol induces a (possibly non-linear and partially de ned) connection which lifts the observation process to the state space and gives a decomposition of the operator on the state space and of the noise. As is standard we can recover the classical ltering theory in which the observations are not usually Markovian by application of the Girsanov- Maruyama-Cameron-Martin Theorem. This structure we have is examined in relation to a number of geometrical topics.


Multi
The Geometry of Filtering
Authors: --- ---
ISBN: 9783034601764 9783034601757 9783034800822 Year: 2010 Publisher: Basel Springer Basel :Imprint: Birkhäuser

Loading...
Export citation

Choose an application

Bookmark

Abstract

Filtering is the science of nding the law of a process given a partial observation of it. The main objects we study here are di usion processes. These are naturally associated with second-order linear di erential operators which are semi-elliptic and so introduce a possibly degenerate Riemannian structure on the state space. In fact, much of what we discuss is simply about two such operators intertwined by a smooth map, the projection from the state space to the observations space", and does not involve any stochastic analysis. From the point of view of stochastic processes, our purpose is to present and to study the underlying geometric structure which allows us to perform the ltering in a Markovian framework with the resulting conditional law being that of a Markov process which is time inhomogeneous in general. This geometry is determined by the symbol of the operator on the state space which projects to a symbol on the observation space. The projectible symbol induces a (possibly non-linear and partially de ned) connection which lifts the observation process to the state space and gives a decomposition of the operator on the state space and of the noise. As is standard we can recover the classical ltering theory in which the observations are not usually Markovian by application of the Girsanov- Maruyama-Cameron-Martin Theorem. This structure we have is examined in relation to a number of geometrical topics.


Book
Geometry, Analysis and Probability : In Honor of Jean-Michel Bismut
Authors: --- --- --- --- --- et al.
ISBN: 3319496387 3319496360 Year: 2017 Publisher: Cham : Springer International Publishing : Imprint: Birkhäuser,

Loading...
Export citation

Choose an application

Bookmark

Abstract

This volume presents original research articles and extended surveys related to the mathematical interest and work of Jean-Michel Bismut. His outstanding contributions to probability theory and global analysis on manifolds have had a profound impact on several branches of mathematics in the areas of control theory, mathematical physics and arithmetic geometry. Contributions by: K. Behrend N. Bergeron S. K. Donaldson J. Dubédat B. Duplantier G. Faltings E. Getzler G. Kings R. Mazzeo J. Millson C. Moeglin W. Müller R. Rhodes D. Rössler S. Sheffield A. Teleman G. Tian K-I. Yoshikawa H. Weiss W. Werner The collection is a valuable resource for graduate students and researchers in these fields.


Book
The Geometry of Filtering
Authors: --- --- ---
ISBN: 9783034601764 9783034601757 9783034800822 Year: 2010 Publisher: Basel Springer Basel

Loading...
Export citation

Choose an application

Bookmark

Abstract

Filtering is the science of nding the law of a process given a partial observation of it. The main objects we study here are di usion processes. These are naturally associated with second-order linear di erential operators which are semi-elliptic and so introduce a possibly degenerate Riemannian structure on the state space. In fact, much of what we discuss is simply about two such operators intertwined by a smooth map, the projection from the state space to the observations space", and does not involve any stochastic analysis. From the point of view of stochastic processes, our purpose is to present and to study the underlying geometric structure which allows us to perform the ltering in a Markovian framework with the resulting conditional law being that of a Markov process which is time inhomogeneous in general. This geometry is determined by the symbol of the operator on the state space which projects to a symbol on the observation space. The projectible symbol induces a (possibly non-linear and partially de ned) connection which lifts the observation process to the state space and gives a decomposition of the operator on the state space and of the noise. As is standard we can recover the classical ltering theory in which the observations are not usually Markovian by application of the Girsanov- Maruyama-Cameron-Martin Theorem. This structure we have is examined in relation to a number of geometrical topics.


Digital
Geometry, Analysis and Probability : In Honor of Jean-Michel Bismut
Authors: --- --- --- --- --- et al.
ISBN: 9783319496382 Year: 2017 Publisher: Cham Springer International Publishing, Imprint: Birkhäuser

Loading...
Export citation

Choose an application

Bookmark

Abstract

This volume presents original research articles and extended surveys related to the mathematical interest and work of Jean-Michel Bismut. His outstanding contributions to probability theory and global analysis on manifolds have had a profound impact on several branches of mathematics in the areas of control theory, mathematical physics and arithmetic geometry. Contributions by: K. Behrend N. Bergeron S. K. Donaldson J. Dubédat B. Duplantier G. Faltings E. Getzler G. Kings R. Mazzeo J. Millson C. Moeglin W. Müller R. Rhodes D. Rössler S. Sheffield A. Teleman G. Tian K-I. Yoshikawa H. Weiss W. Werner The collection is a valuable resource for graduate students and researchers in these fields.

Listing 1 - 9 of 9
Sort by