Generalized Sudakov and dual Sudakov minoration conjecture

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Let u u be an origin-symmetric \log-concave probability measure on Rn\mathbb{R}^n and let K⊂RnK\subset \mathbb{R}^n be an origin-symmetric convex body. For p≥1p\geq 1, write Bp(μ)B_p(\mu) for the associated centroid body, Zp(μ)Z_p(\mu) for the LpL_p centroid body, and define

I1∗(μ,K):=∫∣x∣K∗ dμ(x),I1(μ,K):=∫∣x∣K dμ(x).I^*_1(\mu,K):=\int \\|x\\|_K^*\,d\mu(x),\qquad I_1(\mu,K):=\int \\|x\\|_K\,d\mu(x).

Generalized Sudakov minoration conjecture. There is a universal constant C>0C>0 such that

M(K,CI1∗(μ,K)Bp(μ))≤exp⁡(Cp),∀p≥1,M(K, C I^*_1(\mu,K) B_p(\mu))\leq \exp(Cp),\qquad \forall p\geq 1,

and

M(Zp(μ),CI1(μ,K)K)≤exp⁡(Cp),∀p≥1.M(Z_p(\mu), C I_1(\mu,K)K)\leq \exp(Cp),\qquad \forall p\geq 1.

These conjectural estimates extend the classical Sudakov and dual Sudakov minoration bounds from Gaussian measures to general origin-symmetric log-concave measures. The second inequality is the dual generalized Sudakov conjecture, asserting that Zp(μ)Z_p(\mu) can be covered by exponentially many copies of CI1(μ,K)KC I_1(\mu,K)K rather than the single, generally larger scale Ip(μ,K)KI_p(\mu,K)K supplied by the elementary inclusion.

References

Primary source

Shahar Mendelson, Emanuel Milman and Grigoris Paouris, “Generalized Dual Sudakov Minoration via Dimension Reduction - A Program”, arXiv:1610.09287 (2018).

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