23 research outputs found

    The Paulsen Problem, Continuous Operator Scaling, and Smoothed Analysis

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    The Paulsen problem is a basic open problem in operator theory: Given vectors u1,,unRdu_1, \ldots, u_n \in \mathbb R^d that are ϵ\epsilon-nearly satisfying the Parseval's condition and the equal norm condition, is it close to a set of vectors v1,,vnRdv_1, \ldots, v_n \in \mathbb R^d that exactly satisfy the Parseval's condition and the equal norm condition? Given u1,,unu_1, \ldots, u_n, the squared distance (to the set of exact solutions) is defined as infvi=1nuivi22\inf_{v} \sum_{i=1}^n \| u_i - v_i \|_2^2 where the infimum is over the set of exact solutions. Previous results show that the squared distance of any ϵ\epsilon-nearly solution is at most O(poly(d,n,ϵ))O({\rm{poly}}(d,n,\epsilon)) and there are ϵ\epsilon-nearly solutions with squared distance at least Ω(dϵ)\Omega(d\epsilon). The fundamental open question is whether the squared distance can be independent of the number of vectors nn. We answer this question affirmatively by proving that the squared distance of any ϵ\epsilon-nearly solution is O(d13/2ϵ)O(d^{13/2} \epsilon). Our approach is based on a continuous version of the operator scaling algorithm and consists of two parts. First, we define a dynamical system based on operator scaling and use it to prove that the squared distance of any ϵ\epsilon-nearly solution is O(d2nϵ)O(d^2 n \epsilon). Then, we show that by randomly perturbing the input vectors, the dynamical system will converge faster and the squared distance of an ϵ\epsilon-nearly solution is O(d5/2ϵ)O(d^{5/2} \epsilon) when nn is large enough and ϵ\epsilon is small enough. To analyze the convergence of the dynamical system, we develop some new techniques in lower bounding the operator capacity, a concept introduced by Gurvits to analyze the operator scaling algorithm.Comment: Added Subsection 1.4; Incorporated comments and fixed typos; Minor changes in various place

    Nontangential limits and Fatou-type theorems on post-critically finite self-similar sets

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    In this paper we study the boundary limit properties of harmonic functions on R+×K\mathbb R_+\times K, the solutions u(t,x)u(t,x) to the Poisson equation 2ut2+Δu=0, \frac{\partial^2 u}{\partial t^2} + \Delta u = 0, where KK is a p.c.f. set and Δ\Delta its Laplacian given by a regular harmonic structure. In particular, we prove the existence of nontangential limits of the corresponding Poisson integrals, and the analogous results of the classical Fatou theorems for bounded and nontangentially bounded harmonic functions.Comment: 22 page

    Spectral analysis on infinite Sierpinski fractafolds

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    A fractafold, a space that is locally modeled on a specified fractal, is the fractal equivalent of a manifold. For compact fractafolds based on the Sierpinski gasket, it was shown by the first author how to compute the discrete spectrum of the Laplacian in terms of the spectrum of a finite graph Laplacian. A similar problem was solved by the second author for the case of infinite blowups of a Sierpinski gasket, where spectrum is pure point of infinite multiplicity. Both works used the method of spectral decimations to obtain explicit description of the eigenvalues and eigenfunctions. In this paper we combine the ideas from these earlier works to obtain a description of the spectral resolution of the Laplacian for noncompact fractafolds. Our main abstract results enable us to obtain a completely explicit description of the spectral resolution of the fractafold Laplacian. For some specific examples we turn the spectral resolution into a "Plancherel formula". We also present such a formula for the graph Laplacian on the 3-regular tree, which appears to be a new result of independent interest. In the end we discuss periodic fractafolds and fractal fields

    A class of Fourier multipliers for modulation spaces.

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    We prove the boundedness of a general class of Fourier multipliers, in particular of the Hilbert transform, on modulation spaces. In general, however, the Fourier multipliers in this class fail to be bounded on Lp spaces. The main tools are Gabor frames and methods from time–frequency analysis
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