This paper introduces the notion of an analytic diffusion process. Every process of this type is the limit of some sequence of random walks; however, the limit is understood not in the sense of convergence of measures but in the sense of convergence of generalized functions. Using the analytic diffusion processes it is possible to obtain a probabilistic approximation of solutions to Schrödinger evolution equations, whose right-hand side contains the elliptic operator with variable coefficient.

Original languageEnglish
Pages (from-to)255-276
Number of pages22
JournalTheory of Probability and its Applications
Volume61
Issue number2
DOIs
StatePublished - 1 Jan 2017

    Research areas

  • Diffusion process, Evolution equation, Feynman integral, Feynman measure, Limit theorem, Random process

    Scopus subject areas

  • Statistics and Probability
  • Statistics, Probability and Uncertainty

ID: 35401387