6 research outputs found
Edgeworth Expansion of the Largest Eigenvalue Distribution Function of GUE Revisited
We derive expansions of the resolvent
Rn(x;y;t)=(Qn(x;t)Pn(y;t)-Qn(y;t)Pn(x;t))/(x-y) of the Hermite kernel Kn at the
edge of the spectrum of the finite n Gaussian Unitary Ensemble (GUEn) and the
finite n expansion of Qn(x;t) and Pn(x;t). Using these large n expansions, we
give another proof of the derivation of an Edgeworth type theorem for the
largest eigenvalue distribution function of GUEn. We conclude with a brief
discussion on the derivation of the probability distribution function of the
corresponding largest eigenvalue in the Gaussian Orthogonal Ensemble (GOEn) and
Gaussian Symplectic Ensembles (GSEn)
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Edgeworth Expansion of the Largest Eigenvalue Distribution Function of GUE and LUE
We derive expansions of the Hermite and Laguerre kernels at the edge of the
spectrum of the finite n Gaussian Unitary Ensemble (GUEn) and the finite n Laguerre Unitary
Ensem- ble (LUEn), respectively. Using these large n kernel expansions, we prove an
Edgeworth type theorem for the largest eigenvalue distribution function of GUEn and LUEn.
In our Edgeworth expansion, the correction terms are expressed in terms of the same
Painleve II function appearing in the leading term, i.e. in the Tracy-Widom distribution.
We conclude with a brief discussion of the universality of these results