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On averaged self-distances in finite dimensional Banach spaces

Functional Analysis 2024-11-22 v1 Metric Geometry

Abstract

Assume that A\mathfrak A is a real Banach space of finite dimension n2n\geq2. Consider any Borel probability measure ν\nu supported on the unit ball KK of A\mathfrak A. We show that Δ(ν)=xKyKxyAν(x)ν(y)2(12nf(n)),\Delta(\nu)=\int_{x \in K}\int_{ y\in K}|x-y|_{\mathfrak A} \,\,\,\nu(x)\,\nu(y)\leq 2(1-2^{-n}f(n)), where f:N{0,1}(0,1]f:\mathbb N\setminus \{0,1\}\rightarrow (0,1] is a concrete universal function such that f(n)2en2lognf(n)\sim \frac{2}{\mathrm e n^2\log n}. It is hoped that in the estimate`f(n)f(n)' can be replaced by `11'.

Keywords

Cite

@article{arxiv.2411.14129,
  title  = {On averaged self-distances in finite dimensional Banach spaces},
  author = {Gyula Lakos},
  journal= {arXiv preprint arXiv:2411.14129},
  year   = {2024}
}

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3 pages