Beta ensembles, stochastic Airy spectrum, and a diffusion
By J. Ramírez, Brian Rider, B'alint Vir'ag. 2006
291 citations recorded by the source corpus.
We prove that the largest eigenvalues of the beta ensembles of random matrix theory converge in distribution to the low-lying eigenvalues of the random Schroedinger operator -d^2/dx^2 + x + (2/beta^{1/2}) b_x' restricted to the positive half-line, where b_x' is white noise. In doing so we extend the definition of the Tracy-Widom(beta) distributions to all beta>0, and also analyze their tails. Last, in a parallel development, we provide a second characterization of these laws in terms of a one-dimensional diffusion. The proofs rely on the associated tridiagonal matrix models and a universality result showing that the spectrum of such models converge to that of their continuum operator limit. In particular, we show how Tracy-Widom laws arise from a functional central limit theorem.
Subfields: Discrete Mathematics and Combinatorics, Mathematical Physics, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/84f8421bac29d8df66d01a15aa4e773e8f886047
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In Discrete Mathematics and Combinatorics
- Brian Rider
- Manjunath Krishnapur
- Tiefeng Jiang
- B'alint Vir'ag
- Debashis Paul
- Alexander Aue
- Yongcheng Qi
- Alex Bloemendal
In Mathematical Physics
- Brian Rider
- B'alint Vir'ag
- Debashis Paul
- Alexander Aue
- Manjunath Krishnapur
- Tiefeng Jiang
- Yongcheng Qi
- Alex Bloemendal
In Statistics and Probability
- Brian Rider
- B'alint Vir'ag
- Manjunath Krishnapur
- Alexander Aue
- Debashis Paul
- Tiefeng Jiang
- L. Erdős
- Alex Bloemendal
Citations in the corpus
- Eigenvalue statistics for CMV matrices: From Poisson to clock via random matrix ensembles (2009, unknown): “The Prüfer phase ψ(x;E) and amplitude R(x;E) are defined by u(x;E) = R(x;E) sin(ψ(x;E)), u′(x;E) = R(x;E) cos(ψ(x;E)) and ψ(0;E) = 0.”
- Spectral Radii of Large Non-Hermitian Random Matrices (2014, background): “Ramı́rez et al. (2011) obtain the asymptotic distribution of the largest eigenvalues of beta-Hermite ensemble.”
- Approximation of Rectangular Beta-Laguerre Ensembles and Large Deviations (2013, unknown): “[52].”
- Small deviations for beta ensembles (2009, background): “The proof of the above hinges on the following version of integration by parts (as in fact does the basic convergence result in [19]).”
- GAUSSIAN FLUCTUATIONS OF YOUNG DIAGRAMS AND STRUCTURE CONSTANTS OF JACK CHARACTERS (2014, background): “n converges in probability towards 2/ √ α and the joint vector n1/3 (λ (n))j √ n − 2 √ α 1≤j≤k converges in law towards the β-Tracy-Widom distribution, which has been introduced and studied in [RRV11] to study edge fluctuations of β-ensemble. Naturally, a similar conjecture can be formulated for t”
- Universality of the Stochastic Airy Operator (2013, methodology): “As for convergence of Hn to H , the needed result from [20], as extended in [3], reads:”
- Random matrix theory in statistics: A review (2014, background): “Ramírez et al. (2011) described such limit laws in terms of the eigenstates of a stochastic Airy operator introduced by Edelman and Sutton (2007) and Sutton (2005).”
- Continuum limits of random matrices and the Brownian carousel (2007, background): “ss given by (1), and let µn be a sequence so that n 1/6(2 √ n− µn) → a ∈ R. Then n1/6(Λ n − µn) ⇒ Airyβ +a HereAiryβ canbedefinedas−1timesthepointprocessofeigenvaluesofthestochastic Airy operator, see Ramirez et al. (2007) for more details. A straightforward diagonalization argument gives the followi”
- Limits of spiked random matrices I (2010, background): “[47], who in particular established joint convergence of the largest eigenvalues.”