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Part of the book series: Progress in Probability and Statistics ((PRPR,volume 8))

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Abstract

We now suppose that (an,bn), n ε ZZ, is a stationary random process This means that the real random variables (an (ω), bn(ω)) are defined on some complete probability space (Ω,a,ℙ) and that there exists an invertible measurable transformation θ of Ω, leaving ℙ invariant and such that an+1=anºθ, bn+1, ºθ. In general we don’t write the variable ω and when a property depends only upon the common law of the sequence (an, bn) we omit the index n and speak of the variables (a) and (b). We say that the family H(ω) of associated operators on H is ergodic if a θ invariant measurable subset of Ω is of zero or one ℙ measure. It’s easily seen that H° θ = U-1 H U where U is the shift measure. It’s easily seen that H o θ = U-1 H U where U is the shift operator on ZZ, (Uψ)n = ψn-1.

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© 1985 Birkhäuser Boston, Inc.

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Bougerol, P., Lacroix, J. (1985). Ergodic Schrödinger Operators. In: Bougerol, P., Lacroix, J. (eds) Products of Random Matrices with Applications to Schrödinger Operators. Progress in Probability and Statistics, vol 8. Birkhäuser Boston. https://doi.org/10.1007/978-1-4684-9172-2_8

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  • DOI: https://doi.org/10.1007/978-1-4684-9172-2_8

  • Publisher Name: Birkhäuser Boston

  • Print ISBN: 978-1-4684-9174-6

  • Online ISBN: 978-1-4684-9172-2

  • eBook Packages: Springer Book Archive

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