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Discrete Spectrum Theorem

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Basic Ergodic Theory

Part of the book series: Texts and Readings in Mathematics ((TRM,volume 6))

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Abstract

We know that if two measure preserving automorphisms σ and τ are metrically isomorphic then the associated unitary operators U σ and U τ are unitarily equivalent. Let us say that σ and τ are spectrally isomorphic if U σ and U τ are unitarily equivalent. If σ and τ are spectrally isomorphic and σ is ergodic then τ is ergodic, because σ is ergodic if and only if 1 is a simple eigenvalue of U σ hence also of U τ , which in turn implies the ergodicity of τ. Similarly the mixing and weak mixing properties are invariant under spectral isomorphism. The question whether spectrally isomorphic measure preserving automorphisms are also metrically isomorphic has a negative answer. However in some special cases the answer is affirmative. One such situation is when U σ and U τ admit a complete set of eigenfunctions, σ and τ being ergodic and defined on a standard probability space.

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Bibliography

  1. P. Billingsley. Ergodic Theory and Information, John Wiley and Sons, 1965.

    MATH  Google Scholar 

  2. P. Halmos and J. von Neumann. Operator Methods in Classical Mechanics, II, Ann. Math., 43(1942), 332–350, 1942, John von Neumann: Collected Works Vol. IV, Pergamon, 251–269.

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  3. D. Ornstein. Bernoulli Shifts with Same Entropy are Isomorphic, Advances in Mathematics, 5 (1970), 337–352.

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  4. D. Ornstein. Ergodic Theory, Randomness and Dynamical Systems, Yale University Press, 1974.

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  5. H. L. Royden. Real Analysis, 3rd Edition, MacMillan Publishing Co., 1989.

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© 2013 Hindustan Book Agency

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Nadkarni, M.G. (2013). Discrete Spectrum Theorem. In: Basic Ergodic Theory. Texts and Readings in Mathematics, vol 6. Hindustan Book Agency, Gurgaon. https://doi.org/10.1007/978-93-86279-53-8_6

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