130 research outputs found

    Compression bounds for Lipschitz maps from the Heisenberg group to L1L_1

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    We prove a quantitative bi-Lipschitz nonembedding theorem for the Heisenberg group with its Carnot-Carath\'eodory metric and apply it to give a lower bound on the integrality gap of the Goemans-Linial semidefinite relaxation of the Sparsest Cut problem

    Vertical versus horizontal Poincar\'e inequalities on the Heisenberg group

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    Let =˝\H= be the discrete Heisenberg group, equipped with the left-invariant word metric dW(,)d_W(\cdot,\cdot) associated to the generating set a,b,a1,b1{a,b,a^{-1},b^{-1}}. Letting B_n= {x\in \H: d_W(x,e_\H)\le n} denote the corresponding closed ball of radius nNn\in \N, and writing c=[a,b]=aba1b1c=[a,b]=aba^{-1}b^{-1}, we prove that if (X,X)(X,|\cdot|_X) is a Banach space whose modulus of uniform convexity has power type q[2,)q\in [2,\infty) then there exists K(0,)K\in (0,\infty) such that every f:˝Xf:\H\to X satisfies {multline*} \sum_{k=1}^{n^2}\sum_{x\in B_n}\frac{|f(xc^k)-f(x)|_X^q}{k^{1+q/2}}\le K\sum_{x\in B_{21n}} \Big(|f(xa)-f(x)|^q_X+\|f(xb)-f(x)\|^q_X\Big). {multline*} It follows that for every nNn\in \N the bi-Lipschitz distortion of every f:BnXf:B_n\to X is at least a constant multiple of (logn)1/q(\log n)^{1/q}, an asymptotically optimal estimate as nn\to\infty

    A doubling subset of LpL_p for p>2p>2 that is inherently infinite dimensional

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    It is shown that for every p(2,)p\in (2,\infty) there exists a doubling subset of LpL_p that does not admit a bi-Lipschitz embedding into Rk\R^k for any kNk\in \N

    Bourgain's discretization theorem

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    Bourgain's discretization theorem asserts that there exists a universal constant C(0,)C\in (0,\infty) with the following property. Let X,YX,Y be Banach spaces with dimX=n\dim X=n. Fix D(1,)D\in (1,\infty) and set δ=enCn\delta= e^{-n^{Cn}}. Assume that N\mathcal N is a δ\delta-net in the unit ball of XX and that N\mathcal N admits a bi-Lipschitz embedding into YY with distortion at most DD. Then the entire space XX admits a bi-Lipschitz embedding into YY with distortion at most CDCD. This mostly expository article is devoted to a detailed presentation of a proof of Bourgain's theorem. We also obtain an improvement of Bourgain's theorem in the important case when Y=LpY=L_p for some p[1,)p\in [1,\infty): in this case it suffices to take δ=C1n5/2\delta= C^{-1}n^{-5/2} for the same conclusion to hold true. The case p=1p=1 of this improved discretization result has the following consequence. For arbitrarily large nNn\in \mathbb{N} there exists a family Y\mathscr Y of nn-point subsets of 1,...,n2R2{1,...,n}^2\subseteq \mathbb{R}^2 such that if we write Y=N|\mathscr Y|= N then any L1L_1 embedding of Y\mathscr Y, equipped with the Earthmover metric (a.k.a. transportation cost metric or minimumum weight matching metric) incurs distortion at least a constant multiple of loglogN\sqrt{\log\log N}; the previously best known lower bound for this problem was a constant multiple of logloglogN\sqrt{\log\log \log N}.Comment: Proof of Lemma 5.1 corrected; its statement remains unchange

    Markov convexity and nonembeddability of the Heisenberg group

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    We compute the Markov convexity invariant of the continuous infinite dimensional Heisenberg group H\mathbb{H}_\infty to show that it is Markov 4-convex and cannot be Markov pp-convex for any p<4p < 4. As Markov convexity is a biLipschitz invariant and Hilbert space is Markov 2-convex, this gives a different proof of the classical theorem of Pansu and Semmes that the Heisenberg group does not admit a biLipschitz embedding into any Euclidean space. The Markov convexity lower bound will follow from exhibiting an explicit embedding of Laakso graphs GnG_n into H\mathbb{H}_\infty that has distortion at most Cn1/4lognC n^{1/4} \sqrt{\log n}. We use this to show that if XX is a Markov pp-convex metric space, then balls of the discrete Heisenberg group H(Z)\mathbb{H}(\mathbb{Z}) of radius nn embed into XX with distortion at least some constant multiple of (logn)1p14loglogn.\frac{(\log n)^{\frac{1}{p}-\frac{1}{4}}}{\sqrt{\log \log n}}. Finally, we show that Markov 4-convexity does not give the optimal distortion for embeddings of binary trees BmB_m into H\mathbb{H}_\infty by showing that the distortion is on the order of logm\sqrt{\log m}.Comment: version to appear in Ann. Inst. Fourie
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