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Convolution of Measures

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Measures and Probabilities

Part of the book series: Universitext ((UTX))

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Summary

24.1 We define convolution of measures. Two bounded measures are always convolvable (Proposition 24.1.2).

24.2 We supply some necessary and sufficient conditions for a measure and a function to be convolvable (Propositions 24.2.2 and 24.2.3).

24.3 If μ is a measure on G (respectively, a measure with compact support) and if f is a continuous function on G with compact support (respectively, a continuous function), then μ and f are convolvable.

24.4 For every bounded measure μ on G and for every function f in ℒp̄(G) (with 1 ≤ p ≤ +∞ and f are convolvable (Theorems 24.4.1 and 24.4.2).

24.5 For 1 ≤ p ≤ +∞, the endomorphism g ↦ μ̆ * g of A PC (G) is the transpose of f ↦ μ * f (Proposition 24.5.2).

24.6 We study convolution of functions on G.

24.7 We enunciate a few results on regularization of functions (Theorems 24.7.1 and 24.7.2).

24.8 We define Gelfand pairs (important in harmonic analysis). We show that (SO(n + 1, R), SO(n, R)) and (SH(n + 1, R), SO(n, R)) are Gelfand pairs.

In this chapter, all locally compact spaces are supposed to be Hausdorff.

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© 1996 Springer-Verlag New York, Inc.

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Simonnet, M. (1996). Convolution of Measures. In: Measures and Probabilities. Universitext. Springer, New York, NY. https://doi.org/10.1007/978-1-4612-4012-9_24

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  • DOI: https://doi.org/10.1007/978-1-4612-4012-9_24

  • Publisher Name: Springer, New York, NY

  • Print ISBN: 978-0-387-94644-3

  • Online ISBN: 978-1-4612-4012-9

  • eBook Packages: Springer Book Archive

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