A Langevin-Type Stochastic Differential Equation on a Space of Generalized Functionals

Abstract

Recently, Deuschel has obtained a fluctuation result for system of lattice valued diffusion processes. The result obtained is similar to the ones for mean-field interacting particle diffusions treated in a number of papers. In another direction, Kallianpur and Wolpert have introduced a class of stochastic differential equations (SDE's) governing nuclear space valued processes as model for voltage potentials for spatially extended neurons. This paper is motivated by both the above problems, especially, the problem of interacting systems. The techniques developed in this paper enable us to prove a general result which yields a central limit theorem for such systems. It also provides another approach to the fluctuation theorem in another document. In addition, the identification problem of limit measures leads us to discuss the uniqueness of weak solutions of the SDE.

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Document Details

Document Type
Technical Report
Publication Date
Aug 01, 1988
Accession Number
ADA199809

Entities

People

  • G. Kallianpur
  • I. Mitoma

Organizations

  • University of North Carolina at Chapel Hill

Tags

Communities of Interest

  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Banach Space
  • Brownian Motion
  • Central Nervous System
  • Differential Equations
  • Diffusion
  • Equations
  • Hilbert Space
  • Identification
  • Integrals
  • Partial Differential Equations
  • Personal Information Managers
  • Plastic Explosives
  • Probability
  • Random Variables
  • Sequences
  • Statistics
  • Stochastic Processes

Fields of Study

  • Mathematics

Readers

  • Calculus or Mathematical Analysis
  • Mathematical Modeling and Probability Theory.

Technology Areas

  • Space