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for questions involving inequalities, upper and lower bounds.

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Proof of lower bound on variance

It looks to me like the authors just wanted to put in some ridiculous values which "are clearly sufficient" so that they don't have to work out the details. The choice $\eta = c_1^{1/10}$ should ensur …
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4 votes
0 answers
202 views

Sharp constant for inequality with convex functions

This is a follow up to this question, where the optimal constant was left open. Let $P \subset \mathbb{R}^n$ be bounded, convex, and open. Let \begin{equation} \mathcal{H} := \{f : P \rightarrow \m …
Steve's user avatar
  • 1,095
8 votes

Does this moment inequality hold for any probability measure on the positive real line?

It doesn't hold. Note that if one chooses $P= \frac{1}{n^2} \delta_n + \frac{n^2-1}{n^2} \delta_x$ with $x$ chosen such that $\mu = 1$, i.e. $x = \frac{n^2-n}{n^2-1}$, then $\mu_3 \sim n$ asymptotical …
Steve's user avatar
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2 votes
1 answer
170 views

Gradient of a convex function on $\mathbb{R}^d$, maximum on hypercubes bounded by values in ...

Let $f : \mathbb{R}^d \rightarrow \mathbb{R}$ be infinitely often continuously differentiable and convex. For $d = 1$, we know that for any interval $[a, b]$, it holds for $x, y \in [a, b]$ that $$ (f …
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