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We consider the problems of \emph{learning} and \emph{testing} real-valued convex functions over Gaussian space. Despite the extensive study of function convexity across mathematics, statistics, and computer science, its learnability and…

Data Structures and Algorithms · Computer Science 2025-11-17 Renato Ferreira Pinto , Cassandra Marcussen , Elchanan Mossel , Shivam Nadimpalli

In this article, we further explore convex functions by revealing new bounds, resulting from stronger convexity behavior. In particular, we define the so called radical convex functions and study their properties. We will see that such…

Functional Analysis · Mathematics 2020-10-13 Mohammad Sababheh , Hamid Reza Moradi

We present an example of smooth quasi-convex functions in the positive octant of $\mathbb{R}^{3}$ which cannot be obtained as the images of convex smooth functions under a monotone smooth mappings of $\mathbb{R}$.

Optimization and Control · Mathematics 2017-11-21 N. V. Krylov

The one-sided offset surface Fd of a given surface F is, roughly speaking, obtained by shifting the tangent planes of F in direction of its oriented normal vector. The conchoid surface Gd of a given surface G is roughly speaking obtained by…

Algebraic Geometry · Mathematics 2016-11-04 Martin Peternell , Lukas Gotthart , J. Rafael Sendra , Juana Sendra

Structured convex optimization problems typically involve a mix of smooth and nonsmooth functions. The common practice is to activate the smooth functions via their gradient and the nonsmooth ones via their proximity operator. We show that,…

Optimization and Control · Mathematics 2019-09-11 Patrick L. Combettes , Lilian E. Glaudin

In this paper, we give a new inequality for convex functions of real variables, and we apply this inequality to obtain considerable generalizations, refinements, and reverses of the Young and Heinz inequalities for positive scalars.…

Functional Analysis · Mathematics 2017-03-23 Yousef Al-Manasrah , Fuad Kittaneh

Flexible sparsity regularization means stably approximating sparse solutions of operator equations by using coefficient-dependent penalizations. We propose and analyse a general nonconvex approach in this respect, from both theoretical and…

Optimization and Control · Mathematics 2021-11-12 Daria Ghilli , Dirk A. Lorenz , Elena Resmerita

In this article, we present a new subadditivity behavior of convex and concave functions, when applied to Hilbert space operators. For example, under suitable assumptions on the spectrum of the positive operators $A$ and $B$, we prove that…

Functional Analysis · Mathematics 2019-04-29 Hamid Reza Moradi , Zahra Heydarbeygi , Mohammad Sababheh

For any densely defined, lower semi-continuous trace \tau on a C*-algebra A with mutually commuting C*-subalgebras A_1, A_2, ... A_n, and a convex function f of n variables, we give a short proof of the fact that the function (x_1, x_2,…

Operator Algebras · Mathematics 2015-06-26 Elliott H. Lieb , Gert K. Pedersen

We give a sharp convexity estimate for L-functions which have a functional equation and an Euler product.

Number Theory · Mathematics 2015-05-13 D. R. Heath-Brown

We explore the relationship between convex and subharmonic functions on discrete sets. Our principal concern is to determine the setting in which a convex function is necessarily subharmonic. We initially consider the primary notions of…

Combinatorics · Mathematics 2014-06-25 Matthew Burke , Tony Perkins

We introduce the notion of one-sided mapping cones of positive linear maps between matrix algebras. These are convex cones of maps that are invariant under compositions by completely positive maps from either the left or right side. The…

Operator Algebras · Mathematics 2022-11-17 Mark Girard , Seung-Hyeok Kye , Erling Størmer

Lipschitz constants for the width and diameter functions of a convex body in $\mathbb R^n$ are found in terms of its diameter and thickness (maximum and minimum of both functions). Also, a dual approach to thickness is proposed.

Metric Geometry · Mathematics 2026-02-17 Oleg Mushkarov , Nikolai Nikolov , Pascal J. Thomas

We show that positively $1$--homogeneous rank one convex functions are convex at $0$ and at matrices of rank one. The result is a special case of an abstract convexity result that we establish for positively $1$--homogeneous directionally…

Analysis of PDEs · Mathematics 2016-03-23 Bernd Kirchheim , Jan Kristensen

We study concave trace functions of several operator variables and formulate and prove multivariate generalisations of the Golden-Thompson inequality. The obtained results imply that certain functionals in quantum statistical mechanics have…

Mathematical Physics · Physics 2015-08-06 Frank Hansen

For fixed $u$ and $v$ such that $0\leq u<v<1/2$, the monotonicity of the quotients of Jacobi theta functions, namely, $\theta_{j}(u|i\pi t)/\theta_{j}(v|i\pi t)$, $j=1, 2, 3, 4$, on $0<t<\infty$ has been established in the previous works of…

Classical Analysis and ODEs · Mathematics 2015-03-19 Atul Dixit , Arindam Roy , Alexandru Zaharescu

We consider some multivariate rational functions which have (or are conjectured to have) only positive coefficients in their series expansion. We consider an operator that preserves positivity of series coefficients, and apply the inverse…

Combinatorics · Mathematics 2007-08-27 Manuel Kauers , Doron Zeilberger

In this paper, we introduce a new concept of generalized convexity for E-differentiable vector optimization problems. Namely, the notion of exponentially E-invexity is defined. Further, some properties and results of exponentially E-invex…

Optimization and Control · Mathematics 2024-06-26 Najeeb Abdulaleem

It is well known that increasing functions do not preserve operator order in general; nor do decreasing functions reverse operator order. However, operator monotone increasing or operator monotone decreasing do. In this article, we employ a…

Functional Analysis · Mathematics 2021-02-16 Gholamreza Karamali , Hamid Reza Moradi , Mohammad Sababheh

Given a positive function $f$ on $(0,\infty)$ and a non-zero real parameter $\theta$, we consider a function $I_f^\theta(A,B,X)=Tr X^*(f(L_AR_B^{-1})R_B)^\theta(X)$ in three matrices $A,B>0$ and $X$. In the literature $\theta=\pm1$ has been…

Mathematical Physics · Physics 2015-06-11 Fumio Hiai , Denes Petz