Krengel–Lin decomposition for probability measures on hypergroups
✍ Scribed by C.Robinson Edward Raja
- Publisher
- Elsevier Science
- Year
- 2003
- Tongue
- French
- Weight
- 100 KB
- Volume
- 127
- Category
- Article
- ISSN
- 0007-4497
No coin nor oath required. For personal study only.
✦ Synopsis
A Markov operator P on a σ -finite measure space (X, Σ, m) with invariant measure m is said to have Krengel-Lin decomposition if
and Σ d is the deterministic σ -field of P . We consider convolution operators and we show that a measure λ on a hypergroup has Krengel-Lin decomposition if and only if the sequence ( λn * λ n ) converges to an idempotent or λ is scattered. We verify this condition for probabilities on Tortrat groups, on commutative hypergroups and on central hypergroups. We give a counter-example to show that the decomposition is not true for measures on discrete hypergroups.
📜 SIMILAR VOLUMES
On an arbitrary LCA group G, let a probability measure 2 have the property that it is uniquely deÿned, up to a shift and a central symmetry, by the modulus of its characteristic function. Then, if 1 is a probability measure on R whose characteristic function is an entire function of ÿnite order with