The weak and strong moments conjecture for log-concave random vectors
The weak and strong moments conjecture for log-concave random vectors
Let be a log-concave random vector and let be any norm. Its dual norm is defined by
Weak and strong moments conjecture. There exist such that for any log-concave random vector and any norm ,
This proposes a universal comparison between strong moments of an arbitrary norm and one-dimensional weak moments. The source attributes the question to Latała and gives Gaussian and Rademacher analogues, but does not state a general resolution.
Sources & referencesView supporting material
Primary source
Olivier Guédon, “Concentration phenomena in high dimensional geometry”, arXiv:1310.1204 (2013).
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