An Equality in Stochastic Processes

Abstract

The equality presented in this paper is extremely simple, but has proven useful on a number of occasions in deriving certain transition probabilities where other approaches such as the Laplace transform or the generating function become untidy (see, for example, [7]). The equality is not completely unknown; it has appeared, in a slightly different form, in a two dimensional process ([2],p. 102); and it is obvious for the simple Poisson process. The purpose of this paper is to state it in a general form and to demonstrate its validity and usefulness with a number of examples.

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Document Details

Document Type
Technical Report
Publication Date
Jun 21, 1971
Accession Number
AD1025526

Entities

People

  • Chin L. Chiang

Organizations

  • University of California, Berkeley

Tags

Communities of Interest

  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Differential Equations
  • Equations
  • Intensity
  • Kolmogorov Equations
  • Markov Processes
  • Numbers
  • Partial Differential Equations
  • Probability
  • Random Variables
  • Real Numbers
  • Stochastic Processes
  • Time Intervals
  • Transitions
  • Two Dimensional

Fields of Study

  • Mathematics

Readers

  • Educational Psychology
  • Statistical inference.