Design of high-order short-time approximations as a problem of matching the covariance of a Brownian motion

dc.creatorPredescu, Cristian
dc.date2005-08-08
dc.date2005-08-28
dc.date.accessioned2026-07-07T04:32:15Z
dc.date.available2026-07-07T04:32:15Z
dc.descriptionOne of the outstanding problems in the numerical discretization of the Feynman-Kac formula calls for the design of arbitrary-order short-time approximations that are constructed in a stable way, yet only require knowledge of the potential function. In essence, the problem asks for the development of a functional analogue to the Gauss quadrature technique for one-dimensional functions. In PRE 69, 056701 (2004), it has been argued that the problem of designing an approximation of order νis equivalent to the problem of constructing discrete-time Gaussian processes that are supported on finite-dimensional probability spaces and match certain generalized moments of the Brownian motion. Since Gaussian processes are uniquely determined by their covariance matrix, it is tempting to reformulate the moment-matching problem in terms of the covariance matrix alone. Here, we show how this can be accomplished.
dc.description15 pages; some typos removed; some slight change of notation here and there
dc.identifierhttps://arxiv.org/abs/math-ph/0508017
dc.identifierhttp://arxiv.org/abs/math-ph/0508017
dc.identifierin Proceedings of the 8-th International Conference on Path Integrals: From Quantum Information to Cosmology (Prague, Czech Republic, June 6-10, 2005)
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/58121
dc.subjectMathematical Physics
dc.titleDesign of high-order short-time approximations as a problem of matching the covariance of a Brownian motion
dc.typetext

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