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    Richard D. Dunphy: The Measure of Honor

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    On September 20, 2013, I had the pleasure of attending a town hall meeting at Gettysburg College featuring three members of Congressional Medal of Honor Society (CMOHS). Each had served our country with bravery and valor, each had gone above and beyond the call of duty, and each had earned the same medal as the man whose life I have been exploring for the past several months. [excerpt

    On `observable' Li-Yorke tuples for interval maps

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    In this paper we study the set of Li-Yorke dd-tuples and its dd-dimensional Lebesgue measure for interval maps T ⁣:[0,1][0,1]T\colon [0,1] \to [0,1]. If a topologically mixing TT preserves an absolutely continuous probability measure 9with respect to Lebesgue), then the dd-tuples have Lebesgue full measure, but if TT preserves an infinite absolutely continuous measure, the situation becomes more interesting. Taking the family of Manneville-Pomeau maps as example, we show that for any d2d \ge 2, it is possible that the set of Li-Yorke dd-tuples has full Lebesgue measure, but the set of Li-Yorke d+1d+1-tuples has zero Lebesgue measure

    Infinitesimal Carleson property for weighted measures induced by analytic self-maps of the unit disk

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    We prove that, for every α>1\alpha > -1, the pull-back measure ϕ(Aα)\phi ({\cal A}_\alpha) of the measure dAα(z)=(α+1)(1z2)αdA(z)d{\cal A}_\alpha (z) = (\alpha + 1) (1 - |z|^2)^\alpha \, d{\cal A} (z), where A{\cal A} is the normalized area measure on the unit disk \D, by every analytic self-map \phi \colon \D \to \D is not only an (α+2)(\alpha + 2)-Carleson measure, but that the measure of the Carleson windows of size \eps h is controlled by \eps^{\alpha + 2} times the measure of the corresponding window of size hh. This means that the property of being an (α+2)(\alpha + 2)-Carleson measure is true at all infinitesimal scales. We give an application by characterizing the compactness of composition operators on weighted Bergman-Orlicz spaces

    Canonical sequences of optimal quantization for condensation measures

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    Let P:=13PS11+13PS21+13νP:=\frac 1 3 P\circ S_1^{-1}+\frac 13 P\circ S_2^{-1}+\frac 13\nu, where S1(x)=15xS_1(x)=\frac 15 x, S2(x)=15x+45S_2(x)=\frac 1 5 x+\frac 45 for all xRx\in \mathbb R, and ν\nu be a Borel probability measure on R\mathbb R with compact support. Such a measure PP is called a condensation measure, or an an inhomogeneous self-similar measure, associated with the condensation system ({S1,S2},(13,13,13),ν)(\{S_1, S_2\}, (\frac 13, \frac 13, \frac 13), \nu). Let D(μ)D(\mu) denote the quantization dimension of a measure μ\mu if it exists. Let κ\kappa be the unique number such that (13(15)2)κ2+κ+(13(15)2)κ2+κ=1(\frac 13 (\frac 15)^2)^{\frac {\kappa}{2+\kappa}}+(\frac 13 (\frac 15)^2)^{\frac {\kappa}{2+\kappa}}=1. In this paper, we have considered four different self-similar measures ν:=ν1,ν2,ν3,ν4\nu:=\nu_1, \nu_2, \nu_3, \nu_4 satisfying D(ν1)>κD(\nu_1)>\kappa, D(ν2)κD(\nu_2)\kappa, and D(ν4)=κD(\nu_4)=\kappa. For each measure ν\nu we show that there exist two sequences a(n)a(n) and F(n)F(n), which we call as canonical sequences. With the help of the canonical sequences, we obtain a closed formula to determine the optimal sets of F(n)F(n)-means and F(n)F(n)th quantization errors for the condensation measure PP for each ν\nu. Then, we show that for each measure ν\nu the quantization dimension D(P)D(P) of the condensation measure PP exists, and satisfies: D(P)=max{κ,D(ν)}D(P)=\max\{\kappa, D(\nu)\}. Moreover, we show that for D(ν1)>κD(\nu_1)>\kappa, the D(P)D(P)-dimensional lower and upper quantization coefficients are finite, positive and unequal; on the other hand, for ν=ν2,ν3,ν4\nu=\nu_2, \nu_3, \nu_4, the D(P)D(P)-dimensional lower quantization coefficient is infinity. This shows that for D(ν)>κD(\nu)>\kappa, the D(P)D(P)-dimensional lower and upper quantization coefficients can be either finite, positive and unequal, or it can be infinity

    Riesz s-Equilibrium Measures on d-Dimensional Fractal Sets as s Approaches d

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    Let AA be a compact set in \Rp of Hausdorff dimension dd. For s(0,d)s\in(0,d), the Riesz ss-equilibrium measure μs,A\mu^{s,A} is the unique Borel probability measure with support in AA that minimizes \Is(\mu):=\iint\Rk{x}{y}{s}d\mu(y)d\mu(x) over all such probability measures. In this paper we show that if AA is a strictly self-similar dd-fractal, then μs,A\mu^{s,A} converges in the weak-star topology to normalized dd-dimensional Hausdorff measure restricted to AA as ss approaches dd from below
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