Approximations of Stochastic Equations Driven by Predictable Processes,

Abstract

A theory of stochastic integral equations driven by predictable processes in Stratonovich sense is developed. These driving processes include a large class of discontinuous semimartingales. The theory of stochastic differential equations driven by continuous semimartingales in Stratonovich sense is extended without involving Lebesgue-Stieltjes integrals as done by Meyer. Moreover, a change of variables formula without extra terms involving the jumps of the processes holds for this theory. Results on approximation of driving processes are preserved.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Dec 01, 1987
Accession Number
ADA192714

Entities

People

  • Guillermo Ferreyra

Organizations

  • Brown University

Tags

Communities of Interest

  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Air Force
  • Air Force Facilities
  • Applied Mathematics
  • Brownian Motion
  • Coefficients
  • Convergence
  • Differential Equations
  • Equations
  • Hypotheses
  • Inequalities
  • Integral Equations
  • Integrals
  • Mathematics
  • Scientific Research
  • Sequences
  • Weak Convergence

Fields of Study

  • Mathematics

Readers

  • Calculus or Mathematical Analysis
  • Chemistry (specifically Chemical Fluorescence)
  • Combustion Dynamics and Shock Wave Physics.