Building a Stationary Stochastic Process From a Finite-dimensional Marginal

dc.creatorPivato, Marcus
dc.date2001-08-12
dc.date.accessioned2026-07-07T04:42:57Z
dc.date.available2026-07-07T04:42:57Z
dc.descriptionIf A is a finite alphabet, Z^D is a D-dimensional lattice, U is a subset of Z^D, and mu_U is a probability measure on A^U that ``looks like'' the marginal projection of a stationary random field on A^(Z^D), then can we ``extend'' mu_U to such a field? Under what conditions can we make this extension ergodic, (quasi)periodic, or (weakly) mixing? After surveying classical work on this problem when D = 1, we provide some sufficient conditions and some necessary conditions for mu_U to be extendible for D > 1, and show that, in general, the problem is not formally decidable.
dc.descriptionLaTeX2E format, 40 pages, 4 figures (eps format)
dc.identifierhttps://arxiv.org/abs/math/0108081
dc.identifierhttp://arxiv.org/abs/math/0108081
dc.identifierCanadian Journal of Mathematics, Vol. 53 (2), 2001 pp.382-413
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/62007
dc.subjectProbability
dc.subjectDynamical Systems
dc.subject37A50, 60G10, 37B10
dc.titleBuilding a Stationary Stochastic Process From a Finite-dimensional Marginal
dc.typetext

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