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Information-Theoretical Generalization of the Uncertainty Principle

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Maximum-Entropy and Bayesian Methods in Science and Engineering

Part of the book series: Fundamental Theories of Physics ((FTPH,volume 31-32))

Abstract

Recent suggestions on how to extend the uncertainty principle. using the concept of information, are reviewed. The Heisenberg variance uncertainty principle is shown to be a special case for canonically conjugate continuous variables. The possibility of further generalization is considered.

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© 1988 Kluwer Academic Publishers

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Garrett, A.J.M. (1988). Information-Theoretical Generalization of the Uncertainty Principle. In: Erickson, G.J., Smith, C.R. (eds) Maximum-Entropy and Bayesian Methods in Science and Engineering. Fundamental Theories of Physics, vol 31-32. Springer, Dordrecht. https://doi.org/10.1007/978-94-009-3049-0_12

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  • DOI: https://doi.org/10.1007/978-94-009-3049-0_12

  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-94-010-7871-9

  • Online ISBN: 978-94-009-3049-0

  • eBook Packages: Springer Book Archive

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