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Questions on the calculus of variations, which deals with the optimization of functionals mostly defined on infinite dimensional spaces.

1 vote
Accepted

Does a minimiser exist for this Gaussian-like functional?

$\newcommand\R{\mathbb R}$For any $a\in\R$, there is no minimizer of \begin{equation*} I(f):=\int_\R xe^{f(x)-x^2}\,dx \tag{-1}\label{-1} \end{equation*} over all $f\in F_a$, where $F_a$ is the se …
Iosif Pinelis's user avatar
0 votes
Accepted

Derivatives of infimum in variational problem

Let $t:=\lambda$, so that $$R(t):=\inf_{x\in Y}F(t,x).$$ Suppose that $\int_{\partial_e Y}f\,d\mu_x$ is lower-semicontinuous in $x$ (with respect to the appropriate topology, which you appear to assum …
Iosif Pinelis's user avatar
3 votes
Accepted

Infimum of an integral functional involving a symmetric matrix

$\newcommand{\al}{\alpha} \newcommand{\de}{\delta} \newcommand{\De}{\Delta} \newcommand{\ep}{\varepsilon} \newcommand{\ga}{\gamma} \newcommand{\Ga}{\Gamma} \newcommand{\la}{\lambda} \newcommand{\Si}{\ …
Iosif Pinelis's user avatar
8 votes
Accepted

A one-dimensional integral minimization problem

$\newcommand{\al}{\alpha} \newcommand{\de}{\delta} \newcommand{\De}{\Delta} \newcommand{\ep}{\varepsilon} \newcommand{\ga}{\gamma} \newcommand{\Ga}{\Gamma} \newcommand{\la}{\lambda} \newcommand{\Si}{\ …
Iosif Pinelis's user avatar
2 votes

Variational problem: how to minimise the second moment?

Let $X$ be a positive random variable (r.v.) with probability density function $f$. By the Cauchi--Schwarz inequality, $x_1^2=(EX)^2$ is a lower bound on $x_2=EX^2$, and this lower bound is attained i …
Iosif Pinelis's user avatar
1 vote
Accepted

Determine $\alpha \in (0,1)$ such that $J_{\alpha}(\phi):=\int \psi/\phi^{\alpha}$ exists?

$\newcommand\al\alpha\newcommand\R{\mathbb R}$Let us prove the following generalization of your desired statement: Let $\psi\colon\R\to\R$ be a continuous function with compact support $S$. Let $\phi …
Iosif Pinelis's user avatar
2 votes

Optimization on non-convex set

Yes (mainly). That $u_*:=1_{f<0}$ is a minimizer (of $\int uf$ over all $u\in X(\Omega)$) follows because, if $0\le u\le1$, then $$uf-u_*f=(u-u_*)f\ge0, \tag{1}\label{1}$$ whence $$\int u_*f\le\int uf …
Iosif Pinelis's user avatar
3 votes
Accepted

Why this function is monotonic?

The claim is incorrect. See e.g. this image of a Mathematica notebook: The function $f$ is not increasing for $a=6/5>1$, $\alpha=-2<0$, and $\beta=3/4>0$.
Iosif Pinelis's user avatar
1 vote
Accepted

Behavior of $f(x)= \log\left(1+\frac{r}{x+a}\right) + \log\left(1+\frac{r}{2x+a}\right) - 2r...

If $r=0$, then $f(x)=0$ for all $x\ge0$. If $r>0$, then $$f'(x)=-\frac{8 r (x+1) (8 r x+18 r+24 x+27)}{(2 x+3) (4 x+3) (2 r+2 x+3) (2 r+4 x+3)}<0$$ for $x\ge0$, $f(0)=2 \log \left(\frac{2 r}{3}+1\rig …
Iosif Pinelis's user avatar
3 votes
Accepted

Is $ f(x(.)) := \int_{0}^{1} F ( x(t)) \; dt$ differentiable?

From the context, here $AC[0, 1]$ should be the set of all absolutely continuous functions from $[0,1]$ to $\mathbb R^n$ with the norm $W^{1,1}$. Note that for all $x=(x_1,\dots,x_n)\in AC[0, 1]$ we h …
Iosif Pinelis's user avatar
4 votes
Accepted

Example of convex functions fulfilling a (strange) lower bound

Let $G$ be the set of functions $g\colon\mathbb R\to\mathbb R$ such that for some strictly positive real $a$ and $b$ and all real $x$ we have $g(x)=-ax$ if $x\le0$ and $g(x)=bx$ if $x\ge0$. Let $l_1,\ …
Iosif Pinelis's user avatar
1 vote

Non convex optimization problem in $W_0^{1,2}$

$\newcommand{\al}{\alpha}$In leo monsaingeon's answer, for the the value $J(\al)$ of the infimum it was shown that \begin{equation*} J(\al)\le9 \end{equation*} and conjectured that \begin{equation …
Iosif Pinelis's user avatar
3 votes
Accepted

Is this map (from the space of probability densities to the Wasserstein space) Lipschitz?

$\newcommand{\vpi}{\varphi}\newcommand\R{\mathbb R}$ Claim 1: The map $F$ is not Lipschitz if $p>1$. Claim 2: The map $F$ is $1$-Lipschitz if $p=1$: For all $f,g$ in $D_p$, \begin{equation*} W_ …
Iosif Pinelis's user avatar
2 votes
Accepted

Continuity of generalised Legendre transform

$\newcommand\vpi\varphi$The answer is no. E.g., suppose that $X=Y=\mathbb R$, $c=0$, and $\vpi_a(x)=\min(a,\max(0,x-a))$ for $a\ge0$ and all real $x$. Then, as $a\to\infty$, we have $\vpi_a\to0$ unifo …
Iosif Pinelis's user avatar
4 votes
Accepted

Maximizing the $\alpha$-moment of a distributution

Let us consider the closely related problem: maximize $EX^\alpha$ over all nonnegative random variables (r.v.'s) $X$ with $EX=\mu$. To avoid trivialities, assume that $\mu\in(0,\infty)$. Consider the …
Iosif Pinelis's user avatar
2 votes

Find distribution that minimises a function of its moments

Let $X$ be a positive random variable (r.v.) with probability density function $f$. The exact lower bound on $$r(X):=\frac{x_3+x_1^3-2x_1x_2}{(x_2-x_1^2)^2}$$ is $0$, and it is not attained at any $f …
Iosif Pinelis's user avatar
7 votes

Is there any hope to prove that $g(x)>-4$ if $f(x)<0$?

$\newcommand{\R}{\mathbb R}$Your conjecture is true. Indeed, \begin{equation*} \begin{aligned} f(x)&=F(a,u):=a\frac{\sin u}u+4\cos u, \\ g(x)&=G(a,u):=a\frac{\cot(u/2)}{u^2}\,h(u)-4\frac{\sin …
Iosif Pinelis's user avatar
3 votes

How much "room" in inequality $\displaystyle \int_a^b \varphi' ov ~\mathrm{d}x \leq 0$

$\newcommand{\al}{\alpha}\newcommand{\be}{\beta}\newcommand{\vpi}{\varphi}\newcommand{\thh}{\theta}\newcommand{\I}{\mathscr I}\newcommand{\J}{\mathscr J}$The conjunction of your conditions, \begin{equ …
Iosif Pinelis's user avatar
3 votes
Accepted

Which set of functions admits the existence of the minimizer?

The answer to (3) is yes. Indeed, then all the conditions of what you call "special version of Tonelli’s theorem" (proved in this answer) are satisfied. The answer to (2) is no. Indeed, for natural $n …
Iosif Pinelis's user avatar
1 vote

Find distribution that minimises a function of its moments

This is to complete Mateusz Kwaśnicki's answer by proving that $$EY^2(1+Y)\ge(EY^2)^2\tag{1}$$ if $Y\ge-1$ and $EY=0$. Since $Y\ge-1$, for any real $v$ we have \begin{align} Y^3=(Y+1)(Y-v)^2&+(2v-1 …
Iosif Pinelis's user avatar
1 vote
Accepted

On some convergence theorems by Felix E. Browder (1967)

Concerning Lemma 6: Clearly, this lemma is false if $F=\emptyset$ and, say, $u_n=nu$ for some nonzero $u\in H$. Assume therefore that $F\ne\emptyset$. The inequality $\|u_n\|\le\|u_1\|+\|f\|$ will not …
Iosif Pinelis's user avatar
2 votes
Accepted

How do I integrate this inequality that appears in a paper of Rabinowitz?

For any unit vector $u$ and real $t>0$, let \begin{equation} h(t):=H(tu). \end{equation} Then \begin{equation} h'(t)=H'(tu)\cdot u=\frac{H'(tu)\cdot(tu)}t\ge\frac{\mu H(tu)}t=\frac{h(t)}t. \e …
Iosif Pinelis's user avatar
6 votes
Accepted

Lipschitz property of the symmetric rearrangement

$\newcommand{\R}{\mathbb R}$By the continuity of measure, the nonincreasing function $\mu$ is right-continuous. The function $u^*$ is radial, that is, \begin{equation*} u^*(x)=U(|x|) \end{equation …
Iosif Pinelis's user avatar
8 votes
Accepted

Prove or disprove the linearity of expectiles

The $\tau$-expectile, say $E_\tau X$, of a random variable (r.v.) $X$ is the root $t$ of the equation $$r_X(t)=\rho(\tau),$$ where $$r_X(t):=\frac{E(X-t)_+}{E(t-X)_+}, \quad \rho(\tau):=\frac{1-\tau …
Iosif Pinelis's user avatar
1 vote
Accepted

The regularity theorem, a non-regular minimizer problem

$\newcommand\ol\overline$The steps were: Show that $f$ is infinitely differentiable, $\xi \mapsto f(x,\xi)$ is convex and $f_{\xi \xi} (x,\xi) > 0$ holds for all $x$ except for $x=0$. Show that the …
Iosif Pinelis's user avatar
1 vote
Accepted

What is the maximum possible coefficient of variation for data taking values within a specif...

Indeed, for any random variable (r.v.) $X$ with values in $[a,b]$ and mean $\mu\in[a,b]$, $$Var\,X\le Var\,X_{a,b;\mu}=(b-\mu)(\mu-a), \tag{1}$$ where $X_{a,b;\mu}$ is any r.v. with the unique distrib …
Iosif Pinelis's user avatar
1 vote
Accepted

Optimal Transport: how is this transport map Borel measurable?

$\newcommand\p\partial\newcommand{\R}{\mathbb R}\newcommand\ep\varepsilon$Let $h\colon\R^d\to\R$ be a strictly convex function. Consider the set $S:=2^{\R^d}$ of all subsets of $\R^d$ endowed with the …
Iosif Pinelis's user avatar
4 votes
Accepted

Special version of Tonelli’s theorem

$\renewcommand\bar\overline$Indeed, it is not obvious why "$u'_{n_k} \to \overline{u}'$ in the sense of $L^r[a,b]$". Look at this example: $[a,b]=[0,2\pi]$, $u_n(x)=\dfrac{\sin nx}n$, $\bar u=0$. Then …
Iosif Pinelis's user avatar