Partial Characterizations of Completely Nondeterministic Stochastic Processes.

Abstract

A discrete weakly stationary Gaussian stochastic process x(t), is completely nondeterministic if no non-trivial set from the sigma-algebra generated by x(t):t > 0 lies in the sigma-algebra generated by x(t):t< or = 0. Levinson and McKean essentially showed that a necessary and sufficient condition for complete non-determinism is that the spectrum of the process is given by absolute value of H squared where h is an outer function in the Hardy space, H superscript + 2, of the unit circle in -C with the property that h/h bar uniquely determines the outer function h up to an arbitrary constant. In this paper we consider several characterizations of complete non-determinism in terms of the geometry of the unit ball of the Hardy space H superscript + 1 and in terms of Hankel operators, and pose an open problem. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Nov 01, 1980
Accession Number
ADA097514

Entities

People

  • Nicholas P. Jewell
  • Peter Bloomfield

Organizations

  • Princeton University

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DTIC Thesaurus Topics

  • Convex Sets
  • Distribution Functions
  • Gaussian Processes
  • Hilbert Space
  • Mathematical Analysis
  • Military Research
  • Polynomials
  • Probability
  • Random Variables
  • Spectra
  • Statistics
  • Stochastic Processes
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  • Mathematics

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  • Analytical Mechanics
  • Linear Algebra
  • Mathematical Modeling and Probability Theory.

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