2019
DOI: 10.1090/tran/7653
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Asymptotic Schur orthogonality in hyperbolic groups with application to monotony

Abstract: We prove a generalization of Schur orthogonality relations for certain classes of representations of Gromov hyperbolic groups. We apply the obtained results to show that representations of non-abelian free groups associated to the Patterson-Sullivan measures corresponding to a wide class of invariant metrics on the group are monotonous in the sense introduced by Kuhn and Steger. This in particular includes representations associated to harmonic measures of a wide class of random walks.

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Cited by 7 publications
(8 citation statements)
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“…Many papers construct specific families of representations and prove them irreducible. See for example [Yos51], [PS86], [FTP82], [FTS94], [PS96], [KS96], [Pas01], [KS04], and [BG16]. Some of these papers also prove inequivalence of representations, either within or between families.…”
Section: Definitions and Statements Of Resultsmentioning
confidence: 99%
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“…Many papers construct specific families of representations and prove them irreducible. See for example [Yos51], [PS86], [FTP82], [FTS94], [PS96], [KS96], [Pas01], [KS04], and [BG16]. Some of these papers also prove inequivalence of representations, either within or between families.…”
Section: Definitions and Statements Of Resultsmentioning
confidence: 99%
“…Proving this requires different methods than those presented here. See [KS01], [KSS16] and [BG16]. On the other hand, representations which have a single imperfect realization can, if an appropriate Finite Trace Condition holds, be attacked with the same methods as in the case of duplicity.…”
Section: Thenmentioning
confidence: 99%
“…We also need the "boundary version" of Theorem 2.8 (see [15,Lemma 3.1]): Theorem 2.10. For any R > 0 large enough, there exists a sequence of measures β n,R : Γ → R + such that :…”
Section: 3mentioning
confidence: 99%
“…The Property RD used in [15] to prove Schur's orthogonality relations is replaced by Inequality (6.1), Theorem 6.2 and 6.3. Let R > 0 large enough.…”
Section: 1mentioning
confidence: 99%
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