TY - JOUR A1 - Kabluchko, Zakhar A1 - Prochno, Joscha A1 - Sonnleitner, Mathias T1 - A probabilistic approach to Lorentz balls l(^n)(q,1) JF - Journal of Functional Analysis (Online ISSN: 1096-0783) N2 - We develop a probabilistic approach to study the volumetric and geometric properties of unit balls |B(^n)(q,1) of finite-dimensional Lorentz sequence spaces l(^n)(q,1). More precisely, we show that the empirical distribution of a random vector X^(n) uniformly distributed on its volume normalized unit ball converges weakly to a compactly supported symmetric probability distribution with explicitly given density; as a consequence we obtain a weak Poincaré-Maxwell-Borel principle for any fixed number k in |N of coordinates of X^(n) as n grows infinitly. Moreover, we prove a central limit theorem for the largest coordinate of X^(n), demonstrating a quite different behavior than in the case of the l(^n)(q) balls, where a Gumbel distribution appears in the limit. Finally, we prove a Schechtman-Schmuckenschläger type result for the asymptotic volume of intersections of volume normalized l(^n)(q,1) and l(^n)(p) balls. KW - Central limit theorem KW - Concentration of measure KW - Convex body KW - Maximum entropy principle Y1 - 2024 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:739-opus4-18878 VL - 2025 IS - 288, 1 PB - Elsevier CY - Amsterdam ER -