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gerw
  • Member for 11 years, 8 months
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Example of a non-reflexive Banach space and two sequences
The second point is easy: take $f_n \equiv 0$.
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Hardness of concave minimization problem
If the feasible region is bounded, my conclusion fails. The main argument was that we can look at rays starting in $0$.
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Hardness of concave minimization problem
Your example does not have a minimizer. If the problem has a minimizer, then $0$ is a minimizer. Otherwise, the infimal value is $-\infty$.
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Properties of vector combinations in the non-negative orthant
I don't get your point concerning orthogonality. If $(v_1,\ldots,v_k,y)$ is orthogonal, then $x$ is orthogonal to $y$. This implies $\beta = 0$. Thus, $\|x -\beta\,y\|/\|x\| = 1$?
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Proximal Operator image of convex functionals
I do not believe that your first condition is necessary: If $f$ is the indicator function of $\{0\}$, then the proximal operator is $x \mapsto 0$ and this is not invertible. Second, the domain of a proximal operator is always $H$, i.e., it is trivially convex.
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wasserstein distance between distributions with bounded ratio
Do you want a bound using only $\alpha$ and $\beta$?
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Determinant of Jacobian and directional derivatives
Not every Jacobian matrix is symmetric. Consider $f(x) = (x_2, 0)$.
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