Skip to main content
5 events
when toggle format what by license comment
Jun 6, 2023 at 18:07 comment added entechnic I'm mainly interested in finding a general upper bound for the high-dimensional case, as function of the dimension $d$ (not necessarily a very tight one). The motivation comes from the multivariate standard Gaussian distribution, whose projection on the unit sphere is uniform. I would like to see what happens in the more general case of log-concave distributions and if there is any relation with the Gaussian case (for instance, in terms of the ratio between the requested upper bound and the uniform value)
Jun 6, 2023 at 15:10 comment added Dan Can you clarify what kind of upper bound you're interested in, or your motivation? This might help lead to a useful answer. I am not sure if the high-dimensional case is of interest to you, but if it is, then the lower-dimensional marginals of $X/\|X\|_2$ are approximately Gaussian, and this can be made quantitative using Klartag's central limit theorem combined with thin shell estimates, Theorems 1.1 and 1.4 here: link.springer.com/article/10.1007/s00222-006-0028-8
May 31, 2023 at 23:35 history edited entechnic CC BY-SA 4.0
deleted 506 characters in body
S May 30, 2023 at 13:48 review First questions
May 30, 2023 at 14:30
S May 30, 2023 at 13:48 history asked entechnic CC BY-SA 4.0