Berry-Esseen bounds for random projections of pn-balls
Abstract
In this work we study the rate of convergence in the central limit theorem for the Euclidean norm of random orthogonal projections of vectors chosen at random from an pn-ball which has been obtained in [Alonso-Guti\'errez, Prochno, Th\"ale: Gaussian fluctuations for high-dimensional random projections of pn-balls, Bernoulli 25(4A), 2019, 3139--3174]. More precisely, for any n∈ N let En be a random subspace of dimension kn∈\1,…,n\, PEn the orthogonal projection onto En, and Xn be a random point in the unit ball of pn. We prove a Berry-Esseen theorem for \|PEnXn\|2 under the condition that kn∞. This answers in the affirmative a conjecture of Alonso-Guti\'errez, Prochno, and Th\"ale who obtained a rate of convergence under the additional condition that kn/n2/3∞ as n∞. In addition, we study the Gaussian fluctuations and Berry-Esseen bounds in a 3-fold randomized setting where the dimension of the Grassmannian is also chosen randomly. Comparing deterministic and randomized subspace dimensions leads to a quite interesting observation regarding the central limit behavior. In this work we also discuss the rate of convergence in the central limit theorem of [Kabluchko, Prochno, Th\"ale: High-dimensional limit theorems for random vectors in pn-balls, Commun. Contemp. Math. (2019)] for general q-norms of non-projected vectors chosen at random in an pn-ball.
Turn this paper into a lesson
ArcXiv compiles a structured reading guide from this paper's metadata: plain-English importance, contributions, prerequisite concepts, which sections to read first, flashcards, and a quiz. Grounded in the abstract, never invented.