2010
DOI: 10.1016/j.jat.2010.06.003
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Recurrence relations and vector equilibrium problems arising from a model of non-intersecting squared Bessel paths

Abstract: In this paper we consider the model of n non-intersecting squared Bessel processes with parameter α, in the confluent case where all particles start, at time t = 0, at the same positive value x = a, remain positive, and end, at time T = t, at the position x = 0. The positions of the paths have a limiting mean density as n → ∞ which is characterized by a vector equilibrium problem. We show how to obtain this equilibrium problem from different considerations involving the recurrence relations for multiple orthog… Show more

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Cited by 15 publications
(20 citation statements)
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“…In that situation, all paths, after proper scaling, initially stay away from the hard edge at x = 0, but at a certain critical time t * the lowest paths hit the hard edge and are stuck to it from then on. The limiting mean density of the paths at time t is characterized by a non-real solution of an algebraic equation of order three; see also [38,Appendix] and [42] for an interpretation in terms of a vector equilibrium problem with two measures. If t = t * , the local correlations obey the usual scaling limit from the random matrix theory, leading to the sine, Airy, and Bessel kernels [38].…”
Section: Introductionmentioning
confidence: 99%
“…In that situation, all paths, after proper scaling, initially stay away from the hard edge at x = 0, but at a certain critical time t * the lowest paths hit the hard edge and are stuck to it from then on. The limiting mean density of the paths at time t is characterized by a non-real solution of an algebraic equation of order three; see also [38,Appendix] and [42] for an interpretation in terms of a vector equilibrium problem with two measures. If t = t * , the local correlations obey the usual scaling limit from the random matrix theory, leading to the sine, Airy, and Bessel kernels [38].…”
Section: Introductionmentioning
confidence: 99%
“…Such functions appear as symbols of banded Toeplitz matrices [6], and we need certain results [7,13] that were derived in that context. Although we will not use Toeplitz matrices in this paper, we still refer to s as the symbol.…”
Section: Results From the Literaturementioning
confidence: 99%
“…Next, we state a result of Kuijlaars and Román [13] on polynomials satisfying certain recurrence relations. It will be the key ingredient of the proof of Theorem 2.2 given in Section 7.…”
Section: Results From the Literaturementioning
confidence: 99%
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