This article is cited in 3 papers

Elements of stochastic analysis for the case of Grassmann variables. II. Stochastic partial differential equations for Grassmann processes

V. V. Shcherbakov

M. V. Lomonosov Moscow State University

Abstract: The paper is the second part of a study of the analogs of certain objects of classical stochastic analysis. A solution of a stochastic differential equation for Grassmann random processes is constructed as functional of a smoothed Wiener process.

Received: 26.06.1992

 English version: Theoretical and Mathematical Physics, 1993, 97:2, 1229–1235

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