Search engine for discovering works of Art, research articles, and books related to Art and Culture
ShareThis
Javascript must be enabled to continue!

INTEGRAL REPRESENTATION OF HYPERBOLICALLY CONVEX FUNCTIONS

View through CrossRef
An article consists of two parts. In the first part the sufficient and necessary conditions for an integral representation of hyperbolically convex (h.c.) functions $k(x)$ $\left(x\in \mathbb{R}^{\infty}= \mathbb{R}^1\times\mathbb{R}^1\times \dots\right)$ are proved. For this purpose in $\mathbb{R}^{\infty}$ we introduce measures $\omega_1(x)$, $\omega_{\frac{1}{2}}(x)$. The positive definiteness of a function will be understood on the integral sense with respect to the measure $\omega_1(x)$. Then we proved that the measure $\rho(\lambda)$ in the integral representation is concentrated on $l_2^+=\bigg\{\lambda \in \mathbb{R}_+^{\infty}= \mathbb{R}_+^1\times\mathbb{R}_+^1\times \dots\Big|\sum\limits_{n=1}^{\infty}\lambda_n^2<\infty\bigg\}$. The equality for $k(x)$ $\left(x\in\mathbb{R}^{\infty} \right)$ is regarded as an equality for almost all $x\in\mathbb{R}^{\infty}$ with respect to measure $\omega_{\frac{1}{2}}(x)$. In the second part we proved the sufficient and necessary conditions for integral representation of h.c. functions $k(x)$ $\big(x\in \mathbb{R}_0^{\infty}$ $\mathrm{~is~a~nuclear~space}\big)$. The positive definiteness of a function $k(x)$ will be understood on the pointwise sense. For this purpose we shall construct a rigging (chain) $\mathbb{R}_0^{\infty}\subset l_2 \subset \mathbb{R}^{\infty}$. Then, given that the projection and inductive topologies are coinciding, we shall obtaine the integral representation for $k(x)$ $\left(x\in \mathbb{R}_0^{\infty}\right)$
Yuriy Fedkovych Chernivtsi National University
Title: INTEGRAL REPRESENTATION OF HYPERBOLICALLY CONVEX FUNCTIONS
Description:
An article consists of two parts.
In the first part the sufficient and necessary conditions for an integral representation of hyperbolically convex (h.
c.
) functions $k(x)$ $\left(x\in \mathbb{R}^{\infty}= \mathbb{R}^1\times\mathbb{R}^1\times \dots\right)$ are proved.
For this purpose in $\mathbb{R}^{\infty}$ we introduce measures $\omega_1(x)$, $\omega_{\frac{1}{2}}(x)$.
The positive definiteness of a function will be understood on the integral sense with respect to the measure $\omega_1(x)$.
Then we proved that the measure $\rho(\lambda)$ in the integral representation is concentrated on $l_2^+=\bigg\{\lambda \in \mathbb{R}_+^{\infty}= \mathbb{R}_+^1\times\mathbb{R}_+^1\times \dots\Big|\sum\limits_{n=1}^{\infty}\lambda_n^2<\infty\bigg\}$.
The equality for $k(x)$ $\left(x\in\mathbb{R}^{\infty} \right)$ is regarded as an equality for almost all $x\in\mathbb{R}^{\infty}$ with respect to measure $\omega_{\frac{1}{2}}(x)$.
In the second part we proved the sufficient and necessary conditions for integral representation of h.
c.
functions $k(x)$ $\big(x\in \mathbb{R}_0^{\infty}$ $\mathrm{~is~a~nuclear~space}\big)$.
The positive definiteness of a function $k(x)$ will be understood on the pointwise sense.
For this purpose we shall construct a rigging (chain) $\mathbb{R}_0^{\infty}\subset l_2 \subset \mathbb{R}^{\infty}$.
Then, given that the projection and inductive topologies are coinciding, we shall obtaine the integral representation for $k(x)$ $\left(x\in \mathbb{R}_0^{\infty}\right)$.

Related Results

Characterization of the Propagation Route of Light Passing Through Convex Lens
Characterization of the Propagation Route of Light Passing Through Convex Lens
Abstract Existing optical theory states that the light directed to the optical center of the convex lens will travel in a straight line. Does the theory hold? If this is tr...
Convex-Rod Derotation Maneuver on Lenke Type I Adolescent Idiopathic Scoliosis
Convex-Rod Derotation Maneuver on Lenke Type I Adolescent Idiopathic Scoliosis
Abstract BACKGROUND Convex-rod derotation may have potential advantages for adolescent idiopathic scoliosis (AIS) correction; however, study of t...
New “Conticrete” Hermite–Hadamard–Jensen–Mercer Fractional Inequalities
New “Conticrete” Hermite–Hadamard–Jensen–Mercer Fractional Inequalities
The theory of symmetry has a significant influence in many research areas of mathematics. The class of symmetric functions has wide connections with other classes of functions. Amo...
New Serial and Parallel Algorithms for Finding Convex Hull Based on Clusters, Domains and Directions from Single to Multitude
New Serial and Parallel Algorithms for Finding Convex Hull Based on Clusters, Domains and Directions from Single to Multitude
An Isomorphic Fundamental Theorem of the Convex Hull Construction is given and proved. A representative serial algorithm convex hull with half-dividing and recurrence is commented ...
Study on Conjugate Problems of Fuzzy Mappings
Study on Conjugate Problems of Fuzzy Mappings
First, a new definition of conjugate mapping concept for convex fuzzy mapping is given in this paper, which is more reasonable than the concept in the literature. Then, we prove th...
Review Non-convex Optimization Method for Machine Learning
Review Non-convex Optimization Method for Machine Learning
Non-convex optimization is a critical tool in advancing machine learning, especially for complex models like deep neural networks and support vector machines. Despite challenges su...
Using covariance weighted euclidean distance to assess the dissimilarity between integral experiments
Using covariance weighted euclidean distance to assess the dissimilarity between integral experiments
Integral experiments especially criticality experiments help a lot in designing either new nuclear reactor or criticality assembly. The calculation uncertainty of the integral para...
The Multiphase Flowing Material Balance Integral
The Multiphase Flowing Material Balance Integral
Abstract The primary objective of this paper is to introduce the Flowing Material Balance (FMB) integral, building upon the work of Thompson & Ruddick (2022). Th...

Back to Top