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      Harmonic analysis of little \(q\)-Legendre polynomials

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          Abstract

          Many classes of orthogonal polynomials satisfy a specific linearization property giving rise to a polynomial hypergroup structure, which offers an elegant and fruitful link to harmonic and functional analysis. From the opposite point of view, this allows regarding certain Banach algebras as \(L^1\)-algebras, associated with underlying orthogonal polynomials or with the corresponding orthogonalization measures. The individual behavior strongly depends on these underlying polynomials. We study the little \(q\)-Legendre polynomials, which are orthogonal with respect to a discrete measure. Their \(L^1\)-algebras have been known to be not amenable but to satisfy some weaker properties like right character amenability. We will show that the \(L^1\)-algebras associated with the little \(q\)-Legendre polynomials share the property that every element can be approximated by linear combinations of idempotents. This particularly implies that these \(L^1\)-algebras are weakly amenable (i. e., every bounded derivation into the dual module is an inner derivation), which is known to be shared by any \(L^1\)-algebra of a locally compact group. As a crucial tool, we establish certain uniform boundedness properties of the characters. Our strategy relies on continued fractions, character estimations and asymptotic behavior.

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          Journal
          18 August 2020
          Article
          2008.08079
          ccaca8c8-f498-4f99-b9d9-f5539f1ab4d5

          http://arxiv.org/licenses/nonexclusive-distrib/1.0/

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          33D45 (Primary) 40A15, 43A20, 43A62 (Secondary)
          The paper is essentially also a part of the first version of arXiv:1806.00339 [math.FA]. It is now a separate paper because the associated symmetric Pollaczek part of arXiv:1806.00339 [math.FA] was extended. Compared to the (first version of) arXiv:1806.00339, we extended and added some results on little $q$-Legendre polynomials
          math.FA

          Functional analysis
          Functional analysis

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