16 research outputs found

    Functions holomorphic along holomorphic vector fields

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    The main result of the paper is the following generalization of Forelli's theorem: Suppose F is a holomorphic vector field with singular point at p, such that F is linearizable at p and the matrix is diagonalizable with the eigenvalues whose ratios are positive reals. Then any function ϕ\phi that has an asymptotic Taylor expansion at p and is holomorphic along the complex integral curves of F is holomorphic in a neighborhood of p. We also present an example to show that the requirement for ratios of the eigenvalues to be positive reals is necessary

    Laws of large numbers for eigenvectors and eigenvalues associated to random subspaces in a tensor product

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    Given two positive integers nn and kk and a parameter t(0,1)t\in (0,1), we choose at random a vector subspace VnCkCnV_{n}\subset \mathbb{C}^{k}\otimes\mathbb{C}^{n} of dimension NtnkN\sim tnk. We show that the set of kk-tuples of singular values of all unit vectors in VnV_n fills asymptotically (as nn tends to infinity) a deterministic convex set Kk,tK_{k,t} that we describe using a new norm in Rk\R^k. Our proof relies on free probability, random matrix theory, complex analysis and matrix analysis techniques. The main result result comes together with a law of large numbers for the singular value decomposition of the eigenvectors corresponding to large eigenvalues of a random truncation of a matrix with high eigenvalue degeneracy.Comment: v3 changes: minor typographic improvements; accepted versio
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