This article is cited in 4 papers

Elements of stochastic analysis for the case of Grassmann variables. I. Grassmann stochastic integrals and random processes

V. V. Shcherbakov

M. V. Lomonosov Moscow State University

Abstract: This paper is the first part of a study of an approach to the definition of analogs of the concepts of classical stochastic analysis such as a stochastic integral, a random process, a stochastic differential equation, etc., for the case of Grassmann variables in a certain particular situation. Analogs of stochastic integrals and random processes are studied in the first part.

Received: 26.06.1992

 English version: Theoretical and Mathematical Physics, 1993, 96:1, 792–800

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