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GUE minors, maximal Brownian functionals and longest increasing subsequences
Probability · Submitted 11 Dec 2013
abstract compiled · 2026-09-23 · no language-model review
The authors' main claim We present equalities in law between the spectra of the minors of a GUE matrix and some maximal functionals of independent Brownian motions.
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The abstract, sentence by sentence
We present equalities in law between the spectra of the minors of a GUE matrix and some maximal functionals of independent Brownian motions. In turn, these results allow to recover the limiting shape (properly centered and scaled) of the RSK Young diagrams associated with a random word as a function of the spectra of these minors. Since the length of the top row of the diagrams is the length of the longest increasing subsequence of the random word, the corresponding limiting law also follows.
background contribution method result interpretation main claim
| # | sentence | role | the authors' own work | states the main conclusion | strength |
|---|---|---|---|---|---|
| s0 | We present equalities in law between the spectra of the minors of a GUE matrix and some maximal functionals of independent Brownian motions. | result 0.82 | 0.92 | 0.76 | asserted 1.00 |
| s1 | In turn, these results allow to recover the limiting shape (properly centered and scaled) of the RSK Young diagrams associated with a random word as a function of the spectra of these minors. | result 0.61 | 0.81 | 0.22 | asserted 0.97 |
| s2 | Since the length of the top row of the diagrams is the length of the longest increasing subsequence of the random word, the corresponding limiting law also follows. | interpretation 0.70 | 0.67 | 0.31 | asserted 1.00 |
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Original abstract
We present equalities in law between the spectra of the minors of a GUE matrix and some maximal functionals of independent Brownian motions. In turn, these results allow to recover the limiting shape (properly centered and scaled) of the RSK Young diagrams associated with a random word as a function of the spectra of these minors. Since the length of the top row of the diagrams is the length of the longest increasing subsequence of the random word, the corresponding limiting law also follows.
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2 arXiv papers cite this in 2 sentences
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ζ̂^() ≡∑_i=1^γ̂_i =: γ̂The validity of this conjecture for the continuum, finite temperature model, is suggested by an argument of universality [ref] , together with exact results on discrete DP models at zero temperature, specifically the last passage percolation model [ref] and the semi-discrete directed polymer [ref] .
Mutually avoiding paths in random media and largests eigenvalues of random matrices · Introduction · 1.00
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