2001
DOI: 10.1016/s0377-0427(00)00654-3
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On asymptotic zero distribution of Laguerre and generalized Bessel polynomials with varying parameters

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Cited by 39 publications
(61 citation statements)
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“…The correct contour was described in [20]. It is a curve with the S-property of Stahl [27] and Gonchar and Rakhmanov [16].…”
Section: Asymptotics From Riemann-hilbert Problemsmentioning
confidence: 99%
“…The correct contour was described in [20]. It is a curve with the S-property of Stahl [27] and Gonchar and Rakhmanov [16].…”
Section: Asymptotics From Riemann-hilbert Problemsmentioning
confidence: 99%
“…Note also how in both cases 25 out of the 60 zeros are on the real interval, i.e., a fraction 25/60 ≈ 0.417 already quite close to the limiting value 1 − 1/t = 1 − 1/ √ 3 ≈ 0.423. Finally, we notice that the results of [26] on the asymptotic zero distribution of Laguerre polynomials for values −∞ < A < −1 of the limit (48) can also be applied to the non-hermitian Penner model. These results imply the existence of an asymptotic eigenvalue density with a well-defined support for any sequence g n of coupling constants with limit (4) such that 0 < t < 1.…”
Section: Let Us Suppose That the Fixed 'T Hooft Coupling T Takes A Ramentioning
confidence: 88%
“…Riemann-Hilbert and steepest-descent methods [15,26,27,28] have permitted the complete characterization of the asymptotic zero distribution ρ L (z) of the scaled Laguerre polynomials L …”
Section: Zero Asymptotics Of Scaled Laguerre Polynomialsmentioning
confidence: 99%
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“…This means that the Laguerre polynomials are no longer orthogonal with respect to the weight function on the positive real axis, when α < −1. Recently, there is a growing interest in studying the behavior of the zeros of these polynomials, when α is a negative parameter and tends to −∞ as n → ∞; see [7,13] and also [8,12]. Here, we restrict our attention to the case α = α n = −A n n, (1.6) where {A n } is a sequence of constants tending to a limit A > 1 as n → ∞.…”
Section: Introductionmentioning
confidence: 99%