REVIEW 8 cited by
A note on Bourgain's slicing problem
Not yet reviewed by Pith; the record is open.
This paper has not been read by Pith yet. Machine review is queued; the pith claim, tier, and objections will appear here once it completes.
SPECIMEN: schema-true, not a live event
T0 review · schema-true
One-sentence machine reading of the paper's core claim.
pith:XXXXXXXX · record.json · timestamp
A note on Bourgain's slicing problem
read the original abstract
This note is to study Bourgain's slicing problem following the routes investigated in the last decade. We show that the slicing constant $L_n$ is bounded by $C\log(\log n) $, $n\geq 3$, for some universal constant $C$.
Forward citations
Cited by 8 Pith papers
-
High-dimensional limits and extremizers for maximal functions associated with log-concave densities
All radial log-concave maximal function L^p norms converge to a universal limit λ(p) as dimension→∞, with the Euclidean ball asymptotically extremal.
-
Nearly-Tight Bounds for Zonotope Containment and Beyond
Nearly-tight O(sqrt(d)) approximation for zonotope containment in the oracle model, with a proof of Talagrand's conjecture for constant Delta-modular zonotopes and a tight Theta(d/log d) bound for general convex bodies.
-
Digesting the proof of the sharp thin-shell inequality
The optimal constant in the log-concave variance conjecture is E[(|X|²−n)²] ≤ 8n, attained by iid standard centered exponentials; a companion sharp bound holds for third moments and for the simplex among convex bodies.
-
Functional perimeter and the dimensional Brunn-Minkowski inequality for log-concave measures
Even log-concave measures satisfy μ(λK + (1-λ)L)^{c_n} ≥ λ μ(K)^{c_n} + (1-λ) μ(L)^{c_n} with c_n ≥ c/(n^3 ln n).
-
Banach-Mazur distances and basis constants of isotropic log-concave random spaces
Random normed spaces from isotropic log-concave measures satisfy d_BM >= cn / ln(1+m/n) with high probability, sharp in both parameters and recovering the order-n extremal when m is linear in n.
-
Minimum Norm Interpolation via The Local Theory of Banach Spaces: The Role of Gaussianity
The sharp MSE bound for the ℓ1-minimum-norm interpolator under isotropic Gaussian covariates is recovered via the geometry of symmetric Gaussian polytopes, without the convex Gaussian min-max theorem.
-
Wasserstein bounds for denoising diffusion probabilistic models via the F\"ollmer process
Establishes dimension- and step-optimal Wasserstein bounds for DDPMs under Lipschitz score conditions and broad variance schedules via Föllmer process analysis, recovering prior results and extending to log-concave targets.
-
Functional perimeter and the dimensional Brunn-Minkowski inequality for log-concave measures
Proves dimensional Brunn-Minkowski inequality for even log-concave measures with c_n ≥ c/(n^3 ln n) and shows Γ_n ≈ n for maximal functional perimeter of isotropic log-concave measures.
discussion (0)
Sign in with ORCID, Apple, or X to comment. Anyone can read and Pith papers without signing in.