Free Diffusions and Matrix Models with Strictly Convex Interaction
Free Diffusions and Matrix Models with Strictly Convex Interaction
复制标题
具有严格凸相互作用的自由扩散和矩阵模型
DOI:
10.1007/s00039-009-0704-0
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发表时间:
2007
影响因子:
2.2
通讯作者:
D. Shlyakhtenko
中科院分区:
文献类型:
--
作者:
A. Guionnet;D. Shlyakhtenko
We study solutions to the free stochastic differential equation, whereVis a locally convex polynomial potential inmnon-commuting variables andSanm-dimensional free Brownian motion. We prove that such free processes have a unique stationary distribution μV. When the potentialVis self-adjoint, we show that the law μVis the limit law of a random matrix model, in which anm-tuple of self-adjoint matrices are chosen according to the law exp$$(-NTr(V(A_{1},\ldots,A_{m})))dA_{1} \cdots dA_{m}/ZN(V)$$.IfV=Vβdepends on complex parameters, we prove that the moments of the law μVare analytic in β at least for those β for whichVβis locally convex. In particular, this gives information on the region of convergence of the generating function for the enumeration of related planar maps.We prove that the solutionXthas nice convergence properties with respect to the operator norm astgoes to infinity. This allows us to show that theC*andW*algebras generated by anm-tuple with law μVshare many properties with those generated by a semi-circular system. Among them is the lack of projections, exactness, the Haagerup property, and embeddability into the ultrapower of the hyperfinite II1factor. We show that the microstates free entropy χ(μV) is finite whenVis self-adjoint.A corollary of these results is the fact that the support of the law of any self-adjoint polynomial inunder the law μVis connected, vastly generalizing the case of a single random matrix.We also deduce from this dynamical approach that the convergence of the operator norms of independent matrices from the GUE proved by Haagerup and Thorbjornsen [HT] extends to the context of matrices interactingviaa convex potential.