Abstract
The maximal variance of Lipschitz functions (with respect to the ℓ1-distance) of independent random vectors is found. This is then used to solve the isoperimetric problem, uniformly in the class of product probability measures with given variance.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 249-255 |
| Number of pages | 7 |
| Journal | Bernoulli |
| Volume | 2 |
| Issue number | 3 |
| DOIs | |
| State | Published - Jan 1 1996 |
Keywords
- Isoperimetry
- Lipschitz function
- Variance inequality
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