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Questions tagged [convexity]

For questions involving the concept of convexity

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A question on Ibragimov's theorem on strong unimodality

I am not a mathematics student and unfortunately have some confusion about a (well-known) theorem about strong unimodality of distributions. First of all let me clarify some terminologies and then ask ...
Ervand's user avatar
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21 views

Largest inscribed parallelepiped of the convex set defined by partial sum of Fourier series

Let $\mathcal{X}$ be the set consisting of all $(2n+1)$-dimensional real vectors $\mathbf{x}=\left( a_0,a_1,\ldots,a_n,b_1,\ldots,b_n\right)^{\intercal}$ satisfying $$ \left| f_{\mathbf{x}}(t) \right|...
RyanChan's user avatar
  • 550
11 votes
2 answers
433 views

On the convex cone of convex functions

$\newcommand\R{\Bbb R}$Let $F$ be the set of all functions of the form $\max(a,b,c)$, where $a,b,c$ are affine functions from $\R^2$ to $\R$ and the maximum is taken pointwise. Let $G$ be the set of ...
Iosif Pinelis's user avatar
2 votes
0 answers
95 views

Why cannot we adapt Barvinok type counting techniques to general convex integer programs?

Decision problems in Integer Linear Programming have Lenstra type algorithms (https://www.math.leidenuniv.nl/~lenstrahw/PUBLICATIONS/1983i/art.pdf) have been generalized to convex integer program ...
Turbo's user avatar
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What are the injective embeddings of R^d into the cone of (semi-) positive definite matrices of dimension d?

How can we characterize the set of all injective functions from $\mathbb{R}^d$ to the set of all symmetric positive definite matrices of dimension d?
Drmanifold's user avatar
2 votes
0 answers
58 views

An s-convex function lying between two convex functions

Let $f: \mathbb R_{+} \to \mathbb R_{+}$ be an $s$-function in the second sense, i.e., $$ f(\lambda x +(1-\lambda)y) \leq \lambda^s f(x) +(1-\lambda)^s f(y)$$ for every $\lambda \in (0,1)$. Assume ...
MAY's user avatar
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1 vote
0 answers
30 views

Generalization of subadditivity analogous to quasiconvexity, and variants

I am curious if there are natural generalizations of subadditivity which have been studied in the past or have been stated in the literature? I (and people that I have talked to) have not had much ...
Alex Rutar's user avatar
4 votes
1 answer
417 views

Maximum and concavity of function

Let \begin{align} G(x_1,x_2,x_3)=\int_0^{2\pi}\int_0^{2\pi}\int_0^{2\pi} \frac{d\theta_1 d\theta_2 d\theta_3}{(2\pi)^3} p(\vec{x},\vec{\theta}) \log\left( p(\vec{x}, \vec{\theta})\right) \end{...
nervxxx's user avatar
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2 votes
0 answers
108 views

Reference request: books on convex analysis / geometry

I am interested in convex geometry and analysis, especially in its connections with high dimensional probability theory. I was reading the book by Pisier, The volume of convex bodies and Banach space ...
Drew Brady's user avatar
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Convexity property of a divergence measure with constant factor

I have a divergence measure (D) that satisfies the following property for any functions $f_1$, $f_2$, and $g$: $$D(\lambda f_1 + (1 - \lambda) f_2 \| g) \leq \frac{c_2}{c_1} \left( \lambda D(f_1 \| g) ...
Jose de Frutos's user avatar
3 votes
0 answers
77 views

Is the norm of first or second level of of signature a convex function?

I understand this is not a research level question but I really want to know, would anyone please help. This question is related to the signatures that arises in rough path theory. https://en....
Creator's user avatar
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4 votes
1 answer
101 views

Limits along lines for the gradient of a convex function

It is easy to see that if a function $f: \mathbb{R} \to \mathbb{R}$ is strictly convex, $C^1$ and $f'$ has bounded image, then as $t\to \infty$ the limit $$ \lim_{t\to\infty} f'(t) = \lim_{t\to\infty} ...
Zestylemonzi's user avatar
9 votes
2 answers
424 views

Is there a path-connected, "anti-convex" subset of $\mathbb R^2$ containing $(\mathbb R\smallsetminus \mathbb Q)^2$?

This question was firstly asked in mathematics stack exchange. Getting no answer, I copied it to here. For a vector space $V$ over $\mathbb R$, I say a subset $S$ of $V$ is "anti-convex" if $...
yummy's user avatar
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6 votes
0 answers
48 views

Strengthening the Kovner-Besicovich theorem: Does every unit-area convex set in the plane contain a centrally symmetric hexagon of area $2/3$?

The Kovner-Besicovich theorem states that every convex set $S$ in the plane contains a centrally symmetric subset $C$ of at least $2/3$ the area of $S$, and that this bound is sharp for triangular $S$....
RavenclawPrefect's user avatar
0 votes
1 answer
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Do separable cubic constraint and separable quartic constraint SOCP presentable?

I am an engineer who is doing some network modeling and optimization. During my work, I was running into a case that is quite strange. The problem that I am trying to solve seems to be convex and it ...
Tuong Nguyen Minh's user avatar
7 votes
2 answers
345 views

Integral means vs infinite convex combinations

Let $(X,\mathcal A, \mu)$ be a probability space, $\mathbb E$ a Banach space, and $f:X\to\mathbb E$ a Bochner integrable function. Does there exist a sequence $(x_k)_{k\ge 1} $ in $X$, and a ...
Pietro Majer's user avatar
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40 views

Construct compact submanifold containing non-compact Nash embedded submanifold

$$ \newcommand{\R}{\mathbb{R}} \newcommand{\geu}{g_{\text{Eu}}} \newcommand{\X}{\mathcal{X}} \newcommand{\iX}{\mathring{\X}}$$ Let $\X$ be a closed bounded convex set in some Euclidean space. Its ...
DavideL's user avatar
  • 111
2 votes
1 answer
143 views

Proving convexity of the expected logarithm of binomial distribution

I would like to prove that the following function, for an arbitrary integer $n$: \begin{equation} \begin{split} f(x) & =x\cdot E \ \log(1+\text{Binomial(n,x)}) \\ & = x \cdot \sum_{k=0}^{n} \...
RotemBZ's user avatar
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1 vote
0 answers
30 views

Finite right-triple convex sets in planes

Let $\mathcal{S}$ be a set of points in $\mathbb{R}^2$. We say that $\mathcal{S}$ is right-angle convex, if for any two distinct points $P,Q\in \mathcal{S}$ there always exists another point $R\in \...
Joe Zhou's user avatar
  • 123
2 votes
1 answer
172 views

Does there exists an example of a Banach space that is compactly LUR; but not LUR

We know that a Banach space $X$ is locally uniformly rotund(LUR) if for $x, x_n \in S_X$ with $\Vert x+x_n \Vert \to 2$, we have $x_n \to x$. In the same case, if $(x_n)$ has a convergent subsequence, ...
PPB's user avatar
  • 85
2 votes
1 answer
183 views

Convexity of a function

Let: $F_{j+1,y}(s)$ be the cumulative distribution function of a binomial distribution with mean $y$, $j+1$ independent trials considered for $s$ successes. Is it possible to show in any way that: $\...
Marco Max Fiandri's user avatar
4 votes
1 answer
139 views

Characterization of convexity by connectedness of hyperplane sections

Let $S$ be a smooth closed connected embedded hypersurface in $\mathbb R^n$. Is it true that $S$ is convex, i.e. is a boundary of a convex set, if and only if any section of $S$ by a hyperplane is ...
Dmitrii Korshunov's user avatar
3 votes
0 answers
208 views

Reference request: Carathéodory-type theorem for convex hulls of closed sets

I'm looking for a reference for the following theorem. Theorem Let $X$ be a closed subset of $\mathbb{R}^N$, and let $a$ be a point of its convex hull $\operatorname{conv}(X)$. Then there exist ...
Tom Leinster's user avatar
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3 votes
1 answer
296 views

Does this condition characterise intervals, among subsets of the real line?

For a real number, $c\in \left]0,1\right[$, consider the following property $\mathbf(\mathbf P_c\mathbf)$ of subsets $A$ of $\mathbb R$: $\mathbf(\mathbf P_c\mathbf)$ For every bounded set $B\subset \...
Pietro Majer's user avatar
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0 answers
49 views

Conditions on symmetric $3 \times 3$ matrices to satisfy the convex equality for cofactor and determinant

Given any $3\times 3$ finite set of symmetric matrices $A_i$ and positive real $a_i$ such that $\sum_ia_i=1.$ Is there any equivalent condition to the existence of skew symmetric matrices $X_i$ such ...
user519646's user avatar
1 vote
1 answer
98 views

If $|P|<\infty$ and $C=P\cap\partial(\textrm{Conv}(P))$, then $P\subset\textrm{Conv}(C)$?

That is, if $P$ is a finite set, and $C$ is the set of points in $P$ which lie on the boundary of the convex hull of $P$, then is $P$ contained in the convex hull of $C$? It seems true intuitively. In ...
one-day-at-a-time's user avatar
19 votes
0 answers
553 views

Talagrand's "Creating convexity" conjecture

We say a subset $A$ of $\mathbb{R}^N$ is balanced if \begin{equation} x \in A, \lambda \in [-1,1] \implies \lambda x \in A. \end{equation} Given a subset $A$ of $\mathbb{R}^N$, we write \begin{...
Samuel Johnston's user avatar
4 votes
1 answer
321 views

Sub-Gaussian random variables and convex ordering

Suppose that $X$ is a $1$-sub-Gaussian real-valued random variable, i.e. for all $t \in \mathbf{R}$, it holds that $\log \mathbf{E} \exp \left( t X \right) \leqslant \frac{1}{2} t^2 $. Does there ...
πr8's user avatar
  • 801
1 vote
1 answer
142 views

Foliation of spaces

It turns out that a very important idea to derive properties for a bigger space is to try to foliate the space, derive the same property for each leaf and patch everything up to get the desired ...
Wreck it Ralph's user avatar
1 vote
0 answers
95 views

Detecting points inside the convex hull with inner products

Given a finite set $P$ of $n\gt d+1$ points in $d$-dimensional euclidean space. Under the assumption that the points of $P$ are in general position in the sense that $\lbrace p_{i_1},\dots,p_{i_d}\...
Manfred Weis's user avatar
  • 13.2k
3 votes
2 answers
293 views

On convergence of convex-concave functions

Let $(f_n)$ be a sequence of twice differentiable functions on $\mathbb R$ such that for each $n$ there exists some $x_n\in\mathbb{R}$ such that: $f_n$ is strictly convex on $(-\infty,x_n)$, $f_n$ is ...
Iosif Pinelis's user avatar
1 vote
1 answer
300 views

Convergence of concave/convex function

Let assume that you have a sequence of twice differentiable functions $(f_n)_{n\in\mathbb{N}}\in\mathscr{C}^2(\mathbb{R})^{\mathbb{N}}$. Let suppose that for each $f_n$, it exists a $x_n\in\mathbb{R}$ ...
NancyBoy's user avatar
  • 393
5 votes
1 answer
455 views

Is there a Borel measurable $f:\mathbb{R}^d \to \mathbb{R}^d$ such that $f(x) \in \partial \varphi (x)$ for all $x$?

Let $\varphi: \mathbb{R}^d \to \mathbb{R}$ be a convex function. The subdifferential of $f$ at $x$ is defined as $$ \partial \varphi (x) := \{z \in \mathbb{R}^d : \varphi(y) \geq \varphi(x) + \langle ...
Akira's user avatar
  • 825
1 vote
1 answer
144 views

Is the space of bounded $\psi_\infty$ Orlicz norm random variables equal to $L^\infty$?

Let $\psi_\alpha(x) = \exp(x^\alpha)-1$ for $\alpha\geq 1$. Define $$ \psi_\infty(x) = \begin{cases}\infty & x>1\\1& x = 1\\ 0 & x <1 \end{cases} $$ to be such that for any $x>0$ $...
Mark Schultz-Wu's user avatar
2 votes
1 answer
170 views

Log-concavity of the difference of the second anti-derivative of Gaussians

I would like to prove the following but I couldn't manage to do it. Let $a>b>0$ be two real numbers. Let $f$ be the function defined as: $$\forall \sigma>0, ~\forall x\in\mathbb{R},~f_\sigma(...
NancyBoy's user avatar
  • 393
3 votes
1 answer
120 views

How to establish regions of convexity/concavity of a ratio of exponential polynomials?

Problem: Let $f\colon \mathopen[0,1\mathclose] \to \mathbb{R}$ be defined as $$ f(x) = \frac{e^{\rho x}-1}{e^{\rho x}-1+e^{\rho (1-\gamma x)}-e^{\rho (1-\gamma) x}} $$ where $\rho$ and $\gamma$ are ...
vico's user avatar
  • 33
2 votes
1 answer
183 views

Exponential optimization problem

\begin{eqnarray} \arg\max_{k}\sum_{i=1}^{p}\sum_{j=1}^{p}\exp\left(-{\frac{\left(X(i,j)-{U_k}(i,j)\right)^2}{2}}\right),\:\: k=0,\dots,p \end{eqnarray} where $X$ and $U_k$ are the $p\times p$ matrices,...
Ham's user avatar
  • 21
0 votes
1 answer
113 views

On the extreme points of two convex sets

Let $A$ and $B$ be two compact convex sets (which may be assumed to be polytopes) in $\mathbb R^n$ such that $A\cap B\ne\emptyset$. Is it then always true that either $A\cap\text{ext}B\ne\emptyset$ ...
Iosif Pinelis's user avatar
2 votes
0 answers
164 views

Log Sobolev inequality for log concave perturbations of uniform measure

Suppose $\Omega$ is a convex bounded open set of $\mathbb{R}^n$ (I would be happy with just $\Omega$ as the $n$-dimensional cube). Let $\mu$ be the uniform measure on $\Omega$ and consider the ...
Matt Rosenzweig's user avatar
5 votes
1 answer
179 views

On the property P in the Whitney extension theorem

Let $D$ be a possibly unbounded domain in $\mathbb{R}^d$, $d \ge 2.$ We say that $D$ has the property P if there exists $C>0$ such that such that any pair of points $x,y \in D$ can be joined by a ...
sharpe's user avatar
  • 721
1 vote
1 answer
147 views

Link between asymptotic cone and the boundary of a convex set

For $n\geq 1$, let $f\in\mathcal{C}^2(\mathbb{R}^n ; \mathbb{R})$ such that $f^{-1}(\mathbb{R}_-^*)\neq\varnothing$ and $\forall x\in\mathbb{R}^n$: $\nabla f(x)\neq 0$ and $\mathcal{Hess}f(x)$ is ...
G. Panel's user avatar
  • 449
18 votes
3 answers
998 views

Convex functions in convex sets

Suppose $\Omega \subset \mathbb{R}^n$ is some bounded, convex set. For which domains $\Omega$ is it true that for every convex function $f:\Omega \rightarrow \mathbb{R}$ the average of the function in ...
Stefan Steinerberger's user avatar
3 votes
2 answers
350 views

Subdifferential of a convex function admits a continuous selection

Let $F$ be a continuous convex function on $\mathbb{R}^n$. If the subdifferential $\partial F(x)$ of $F(x)$ admits a continuous selection, for every $x \in \mathbb{R}^n$, does it mean that $F$ is ...
Aimar's user avatar
  • 33
2 votes
1 answer
106 views

Submodularity of a particular function derived from a convex function?

Consider a convex function $f : \mathbb{R}^d \to \mathbb{R}$. Define now the set-input function $g_f : 2^{[d]} \to \mathbb{R}$ as follows, \begin{align} g_f(S) = \min \left\{ f(x) : x \in \mathbb{R}^d ...
Television's user avatar
4 votes
1 answer
425 views

An exercise on log-concave random variable on the real line

Let $X$ be a real random variable with log-concave density $f$. Assume that $E(X) =0$ and $E(X^2)=1$. Show that there is a universal (independent of $X$) constant $c>0$ such that: $$P(X\in[-1/2;0])\...
Gericault's user avatar
  • 245
2 votes
1 answer
599 views

Tangent cone of a closed convex cone

Let $K \subset \mathbb{R}^n$ be a closed convex set. Given a point $u \in K$, the tangent cone of $K$ at $u$ is defined as (or characterized by) $$ T_K(u) := \mathrm{cl}(\left\{ t (v - u) \mid v \in K,...
aest's user avatar
  • 163
0 votes
0 answers
141 views

Does there exists a smooth reflexive infinite dimensional Banach space that is not strictly convex

It is known that in a reflexive Banach space, if the norm is strictly convex, then its dual will be smooth Banach space, and if the norm is smooth, then the dual norm is strictly convex. We can find ...
PPB's user avatar
  • 85
0 votes
1 answer
138 views

Smoothness of a Hilbert space under an equivalent norm

Let us take the Hilbert space $l_2$ with an equivalent norm $\Vert x \Vert = \max \{2 \Vert x \Vert_1, \Vert x \Vert_2 \}$, where $\Vert x \Vert_1 =( \sum_{n=2}^\infty x_n^2 )^{\frac{1}{2}}$ and $\...
PPB's user avatar
  • 85
5 votes
2 answers
204 views

Convex hull of bivariate normal random points

Let $n > 1$, and $p_1, \ldots, p_n \in \mathbb{R}^2$ be iid random points following a bivariate normal distribution (doesn't matter which one), and let $X_n$ be the number of vertices of convex ...
Mikhail Tikhomirov's user avatar
1 vote
2 answers
126 views

Establishing quasiconcavity

Let $f:\mathbb{R}_+\rightarrow\mathbb{R}_+$ be twice differentiable quasi-concave function satisfying $f(x)>0,\forall x \in \mathbb{R}_+$. Let $g:\mathbb{R}_+\rightarrow\mathbb{R}_+$ be a positive, ...
oyy's user avatar
  • 67

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