Krengel-Lin decomposition for probability measures on hypergroups

dc.creatorRaja, C. R. E.
dc.date2002-12-20
dc.date.accessioned2026-07-07T04:53:57Z
dc.date.available2026-07-07T04:53:57Z
dc.descriptionA Markov operator $P$ on a $σ$-finite measure space $(X, Σ, m)$ with invariant measure $m$ is said to have Krengel-Lin decomposition if $L^2 (X) = E_0 \oplus L^2 (X,Σ_d)$ where $E_0 = \{f \in L^2 (X) \mid ||P^n (f) || \ra 0 \}$ and $Σ_d$ is the deterministic $σ$-field of $P$. We consider convolution operators and we show that a measure $\lam$ on a hypergroup has Krengel-Lin decomposition if and only if the sequence $(\check \lam ^n *\lam ^n)$ converges to an idempotent or $\lam$ 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 which is in contrast to the discrete groups case.
dc.identifierhttps://arxiv.org/abs/math/0212285
dc.identifierhttp://arxiv.org/abs/math/0212285
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/66054
dc.subjectProbability
dc.subjectFunctional Analysis
dc.subject43A62, 60B99
dc.titleKrengel-Lin decomposition for probability measures on hypergroups
dc.typetext

Files

Collections