Note on Negative Probabilities and Observable Processes

Authors Ulrich Faigle, Alexander Schoenhuth



PDF
Thumbnail PDF

File

DagSemProc.05031.19.pdf
  • Filesize: 220 kB
  • 14 pages

Document Identifiers

Author Details

Ulrich Faigle
Alexander Schoenhuth

Cite AsGet BibTex

Ulrich Faigle and Alexander Schoenhuth. Note on Negative Probabilities and Observable Processes. In Algorithms for Optimization with Incomplete Information. Dagstuhl Seminar Proceedings, Volume 5031, pp. 1-14, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2005)
https://doi.org/10.4230/DagSemProc.05031.19

Abstract

A mathematical framework for observable processes is introduced via the model of systems whose states may be time dependent and described by possibly "negative probabilities". The model generalizes and includes the linearly dependent models or observable operator models for classical discrete stochastic processes. Within this model a general convergence result for finite-dimensional processes, which generalize finite state (hidden) Markov models, is derived. On the philosophical side, the model furthermore offers an explanation for Bell's inequality in quantum mechanics.
Keywords
  • Negative Probability
  • Observable Process
  • Markov Chain
  • Stochastic Process
  • Bell’s Inequality
  • HHM
  • LDP
  • OOM

Metrics

  • Access Statistics
  • Total Accesses (updated on a weekly basis)
    0
    PDF Downloads