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Israel Journal of Mathematics
Article . 2025 . Peer-reviewed
License: Springer Nature TDM
Data sources: Crossref
https://dx.doi.org/10.48550/ar...
Article . 2022
License: CC BY
Data sources: Datacite
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Riesz operators and some spherical representations for hyperbolic groups

Authors: Boyer, Adrien; Picaud, Jean-Claude;

Riesz operators and some spherical representations for hyperbolic groups

Abstract

We introduce the Riesz operator in the context of Gromov hyperbolic groups in order to investigate a one parameter family of non unitary boundary Hilbertian representations of hyperbolic groups. We prove asymptotic Schur's relations, the latter being the main result of this paper. Up to normalization, the Riesz operator plays the role in the context of hyperbolic groups of the Knapp-Stein intertwiner for complementary series for Lie groups. Assuming the positivity of the Riesz operator, we define an analogue of complementary series for hyperbolic groups and prove their irreducibility.

Corrections have been done from the previous version: in particular the construction of the representation K'_{t} and the uniform bound dealing with H_t have been modified

Keywords

dual system of boundary representations, irreducibility, FOS: Mathematics, complementary series, Group Theory (math.GR), [MATH.MATH-RT] Mathematics [math]/Representation Theory [math.RT], Representation Theory (math.RT), Bader-Muchnik ergodic theorems, Mathematics - Group Theory, Mathematics - Representation Theory, [MATH.MATH-GR] Mathematics [math]/Group Theory [math.GR]

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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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