A New Approach to the Analysis of Stochastic Lanchester Processes. I. Time Evolution.

Abstract

A new approach to the study of stochastic Lanchester processes based on diffusion approximations is presented. The distribution of the two force levels over time is shown to be well approximated by a nonstationary bivariate Gaussian diffusion process with specified mean and covariance structure. The approximation is based on an asymptotic analysis which assumes the initial force levels are large. Numerical studies are presented, however, which show surprising accuracy for force levels as small as 30. A wide variety of attrition structures are discussed including the linear and square law cases, Helmbold's general attrition structure, Karr's engagement model, and heterogeneous models. The development of tractable mathematical expressions for the time evolution of complicated Lanchester-type attrition processes makes possible the introduction and analysis of decision theoretic aspects to the problem such as force level decisions, combat tactics, reinforcement decisions, and the value of information about the opponent's strengths, weaknesses, and strategies. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 1977
Accession Number
ADA045176

Entities

People

  • John P. Lehoczky
  • Peter P. Perla

Organizations

  • Carnegie Mellon University

Tags

Communities of Interest

  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Accuracy
  • Attrition
  • Covariance
  • Data Science
  • Differential Equations
  • Diffusion
  • Equations
  • Information Science
  • Lanchester Equations
  • Markov Chains
  • Markov Processes
  • Normal Distribution
  • Operations Research
  • Probability
  • Statistics
  • Stochastic Processes
  • Surveys

Readers

  • Mathematical Modeling and Probability Theory.
  • Military History / Militaries and War Studies
  • Statistical inference.