STOCHASTIC ANALYSIS AND MATHEMATICAL PHYSICS II. 4TH INTERNATIONAL ANESTOC WORKSHOP IN SANTIAGO, CHILE

dc.creatorComman, Henri Marcel Paul
dc.date2016-12-27T21:49:08Z
dc.date2022-06-17T20:34:25Z
dc.date2016-12-27T21:49:08Z
dc.date2022-06-17T20:34:25Z
dc.date2003
dc.date.accessioned2023-08-22T02:48:32Z
dc.date.available2023-08-22T02:48:32Z
dc.identifier3010005
dc.identifier978-3-0348-9405-0
dc.identifier978-3-0348-8018-3
dc.identifierhttps://hdl.handle.net/10533/165145
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/8312087
dc.descriptionIn [7], we introduced a notion of capacities on a C*-algebra U, endowed the set of capacities with the narrow and vague topologies, and studied relative compactness in various classes of capacities. This allowed us to formulate a large deviation principle for a net of capacities in terms of convergence of capacities (extending the usual definition for a net (? ?)> ?>0 of regular probability measures on a locally compact Hausdorff space X).In [7], we introduced a notion of capacities on a C*-algebra U, endowed the set of capacities with the narrow and vague topologies, and studied relative compactness in various classes of capacities. This allowed us to formulate a large deviation principle for a net of capacities in terms of convergence of capacities (extending the usual definition for a net (? ?)> ?>0 of regular probability measures on a locally compact Hausdorff space X).In [7], we introduced a notion of capacities on a C*-algebra U, endowed the set of capacities with the narrow and vague topologies, and studied relative compactness in various classes of capacities. This allowed us to formulate a large deviation principle for a net of capacities in terms of convergence of capacities (extending the usual definition for a net (? ?)> ?>0 of regular probability measures on a locally compact Hausdorff space X).In [7], we introduced a notion of capacities on a C*-algebra U, endowed the set of capacities with the narrow and vague topologies, and studied relative compactness in various classes of capacities. This allowed us to formulate a large deviation principle for a net of capacities in terms of convergence of capacities (extending the usual definition for a net (? ?)> ?>0 of regular probability measures on a locally compact Hausdorff space X).In [7], we introduced a notion of capacities on a C*-algebra U, endowed the set of capacities with the narrow and vague topologies, and studied relative compactness in various classes of capacities. This allowed us to formulate a large deviation principle for a net of capacities in terms of convergence of capacities (extending the usual definition for a net (? ?)> ?>0 of regular probability measures on a locally compact Hausdorff space X).In [7], we introduced a notion of capacities on a C*-algebra U, endowed the set of capacities with the narrow and vague topologies, and studied relative compactness in various classes of capacities. This allowed us to formulate a large deviation principle for a net of capacities in terms of convergence of capacities (extending the usual definition for a net (? ?)> ?>0 of regular probability measures on a locally compact Hausdorff space X).In [7], we introduced a notion of capacities on a C*-algebra U, endowed the set of capacities with the narrow and vague topologies, and studied relative compactness in various classes of capacities. This allowed us to formulate a large deviation principle for a net of capacities in terms of convergence of capacities (extending the usual definition for a net (? ?)> ?>0 of regular probability measures on a locally compact Hausdorff space X).In [7], we introduced a notion of capacities on a C*-algebra U, endowed the set of capacities with the narrow and vague topologies, and studied relative compactness in various classes of capacities. This allowed us to formulate a large deviation principle for a net of capacities in terms of convergence of capacities (extending the usual definition for a net (? ?)> ?>0 of regular probability measures on a locally compact Hausdorff space X).In [7], we introduced a notion of capacities on a C*-algebra U, endowed the set of capacities with the narrow and vague topologies, and studied relative compactness in various classes of capacities. This allowed us to formulate a large deviation principle for a net of capacities in terms of convergence of capacities (extending the usual definition for a net (? ?)> ?>0 of regular probability measures on a locally compact Hausdorff space X).In [7], we introduced a notion of capacities on a C*-algebra U, endowed the set of capacities with the narrow and vague topologies, and studied relative compactness in various classes of capacities. This allowed us to formulate a large deviation principle for a net of capacities in terms of convergence of capacities (extending the usual definition for a net (? ?)> ?>0 of regular probability measures on a locally compact Hausdorff space X).In [7], we introduced a notion of capacities on a C*-algebra U, endowed the set of capacities with the narrow and vague topologies, and studied relative compactness in various classes of capacities. This allowed us to formulate a large deviation principle for a net of capacities in terms of convergence of capacities (extending the usual definition for a net (? ?)> ?>0 of regular probability measures on a locally compact Hausdorff space X).In [7], we introduced a notion of capacities on a C*-algebra U, endowed the set of capacities with the narrow and vague topologies, and studied relative compactness in various classes of capacities. This allowed us to formulate a large deviation principle for a net of capacities in terms of convergence of capacities (extending the usual definition for a net (? ?)> ?>0 of regular probability measures on a locally compact Hausdorff space X).In [7], we introduced a notion of capacities on a C*-algebra U, endowed the set of capacities with the narrow and vague topologies, and studied relative compactness in various classes of capacities. This allowed us to formulate a large deviation principle for a net of capacities in terms of convergence of capacities (extending the usual definition for a net (? ?)> ?>0 of regular probability measures on a locally compact Hausdorff space X).In [7], we introduced a notion of capacities on a C*-algebra U, endowed the set of capacities with the narrow and vague topologies, and studied relative compactness in various classes of capacities. This allowed us to formulate a large deviation principle for a net of capacities in terms of convergence of capacities (extending the usual definition for a net (? ?)> ?>0 of regular probability measures on a locally compact Hausdorff space X).In [7], we introduced a notion of capacities on a C*-algebra U, endowed the set of capacities with the narrow and vague topologies, and studied relative compactness in various classes of capacities. This allowed us to formulate a large deviation principle for a net of capacities in terms of convergence of capacities (extending the usual definition for a net (? ?)> ?>0 of regular probability measures on a locally compact Hausdorff space X).In [7], we introduced a notion of capacities on a C*-algebra U, endowed the set of capacities with the narrow and vague topologies, and studied relative compactness in various classes of capacities. This allowed us to formulate a large deviation principle for a net of capacities in terms of convergence of capacities (extending the usual definition for a net (? ?)> ?>0 of regular probability measures on a locally compact Hausdorff space X).In [7], we introduced a notion of capacities on a C*-algebra U, endowed the set of capacities with the narrow and vague topologies, and studied relative compactness in various classes of capacities. This allowed us to formulate a large deviation principle for a net of capacities in terms of convergence of capacities (extending the usual definition for a net (? ?)> ?>0 of regular probability measures on a locally compact Hausdorff space X).
dc.descriptionFONDECYT
dc.description162
dc.descriptionFONDECYT
dc.languageeng
dc.publisherBIRKHAUSER
dc.relationinstname: Conicyt
dc.relationreponame: Repositorio Digital RI2.0
dc.relationinstname: Conicyt
dc.relationreponame: Repositorio Digital RI 2.0
dc.relationinfo:eu-repo/grantAgreement/Fondecyt/3010005
dc.relationinfo:eu-repo/semantics/dataset/hdl.handle.net/10533/93479
dc.rightsinfo:eu-repo/semantics/openAccess
dc.titleNONCOMMUTATIVE VERSIONS OF PROHOROV AND VARADHAN THEOREMS
dc.titleSTOCHASTIC ANALYSIS AND MATHEMATICAL PHYSICS II. 4TH INTERNATIONAL ANESTOC WORKSHOP IN SANTIAGO, CHILE
dc.typeCapitulo de libro
dc.typeinfo:eu-repo/semantics/bookPart


Este ítem pertenece a la siguiente institución