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Banach spaces, function spaces, real functions, integral transforms, theory of distributions, measure theory.

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 …
1 vote

Invertibility of neural network as operator on Wasserstein space

This is just a partial answer regarding $S$ being injective. The generalisation of your argument is given by Hornik (Theorem 5 and the definition of discriminatory functions above Theorem 5)
Steve's user avatar
  • 1,095
0 votes
0 answers
74 views

Hausdorff distance restricted to linear subspaces

Let $V$ be a Hilbert space, $Q \subset V$ be convex and compact and $Q_n \subset V$ be convex and compact for $n\in \mathbb{N}$ such that $Q_n \rightarrow Q$ for $n\rightarrow \infty$ in Hausdorff dis …
6 votes
0 answers
388 views

Closedness of a set of measures, where conditional marginals are in closed $\varepsilon$-bal...

Let $(E,d)$ be a bounded polish space (separable, complete metric space satisfying $\sup_{x,y\in E} d(x,y) < \infty$). By $\mathcal{P}(E)$ we denote the space of Borel probability measures on $E$ endo …