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We show that methods developed in the context of perturbative calculations can be transferred to non-perturbative calculations. We demonstrate that correlation functions on the lattice can be computed with the method of differential…

High Energy Physics - Theory · Physics 2023-01-18 Federico Gasparotto , Andreas Rapakoulias , Stefan Weinzierl

In the present work we considered Galilean conformal algebras (GCA), which arises as a contraction relativistic conformal algebras ($x_i\rightarrow \epsilon x_i$, $t\rightarrow t$, $\epsilon \rightarrow 0$). We can use the Galilean…

High Energy Physics - Theory · Physics 2015-05-27 M. R. Setare , V. Kamali

We continue to study an infinite-parametric family of gauge theories with an arbitrary function of the self-dual part of the field strength as the Lagrangian. The arising one-loop divergences are computed using the background field method.…

High Energy Physics - Theory · Physics 2015-06-23 Kirill Krasnov

In 1982, Cameron and Liebler investigated certain "special sets of lines" in PG(3,q), and gave several equivalent characterizations. Due to their interesting geometric and algebraic properties, these "Cameron-Liebler line classes" got much…

Combinatorics · Mathematics 2025-10-02 Michael Kiermaier , Jonathan Mannaert , Alfred Wassermann

In this paper, we introduce and investigate a class P of continuous and periodic functions on R. The class P is defined so that second-order central differences of a function satisfy some concavity-type estimate. Although this definition…

Classical Analysis and ODEs · Mathematics 2019-08-05 Yasuhiro Fujita , Nao Hamamuki , Antonio Siconolfi , Norikazu Yamaguchi

We present a new probabilistic modelling framework based on the recent notion of normal factor graph (NFG). We show that the proposed NFG models and their transformations unify some existing models such as factor graphs, convolutional…

Information Theory · Computer Science 2012-09-17 Ali Al-Bashabsheh , Yongyi Mao

We consider N = 2 superconformal field theory with following properties: a) Coulomb branch operators have fractional scaling dimensions, b) there are exact marginal deformations . The weakly coupled gauge theory descriptions are found by…

High Energy Physics - Theory · Physics 2016-02-12 Dan Xie , Shing-Tung Yau

The work is devoted to the construction of a new type of intervals -- functional intervals. These intervals are built on the idea of expanding boundaries from numbers to functions. Functional intervals have shown themselves to be promising…

Numerical Analysis · Mathematics 2022-10-27 Dmitry A. Skorik

A dual formalism for Lagrange multipliers is developed. The formalism is used to minimize an action function $S(q_2,q_1,T)$ without any dynamical input other than that $S$ is convex. All the key equations of analytical mechanics -- the…

Classical Physics · Physics 2021-09-21 David J. Tannor

We prove sufficient and necessary conditions ensuring zero duality gap for Lagrangian duality in some classes of nonconvex optimization problems. To this aim, we use the $\Phi$-convexity theory and minimax theorems for $\Phi$-convex…

Optimization and Control · Mathematics 2024-01-11 Ewa Bednarczuk , Monika Syga

We introduce and study a notion of duality for two classes of optimization problems commonly occurring in probability theory. That is, on an abstract measurable space $(\Omega,\mathcal{F})$, we consider pairs $(E,\mathcal{G})$ where $E$ is…

Probability · Mathematics 2025-07-03 Adam Quinn Jaffe

In this paper, using the tools from the lineability theory, we distinguish certain subsets of $p$-adic differentiable functions. Specifically, we show that the following sets of functions are large enough to contain an infinite dimensional…

An uniform LP duality is an useful property of conic matrix systems. A consistent linear conic optimization problem yields uniform LP duality if for any linear cost function, for which the primal problem has finite optimal value, the…

Optimization and Control · Mathematics 2023-02-21 Kostyukova O. I. , Tchemisova T. , Dudina O. S

A new classification of real functions and other related real objects defined within a compact interval is proposed. The scope of the classification includes normal real functions and distributions in the sense of Schwartz, referred to…

Mathematical Physics · Physics 2015-07-07 Jorge L. deLyra

This is a survey of some recent results concerning polynomial inequalities and polynomial approximation of functions in the complex plane. The results are achieved by the application of methods and techniques of modern geometric function…

Complex Variables · Mathematics 2007-05-23 Vladimir Andrievskii

The present research deals with generalizations of the Salem function with arguments defined in terms of certain alternating expansions of real numbers. The special attention is given to modelling such functions by systems of functional…

General Mathematics · Mathematics 2024-03-12 Symon Serbenyuk

Deformed correlated Gaussian basis functions are introduced and their matrix elements are calculated. These basis functions can be used to solve problems with nonspherical potentials. One example of such potential is the dipole…

Chemical Physics · Physics 2021-12-22 Matthew Beutel , Alexander Ahrens , Chenhang Huang , Yasuyuki Suzuki , Kalman Varga

The use of charge balance functions in heavy-ion collision studies was initially proposed as a probe of delayed hadronization and two-stage quark production in these collisions. It later emerged that general balance functions can also serve…

High Energy Physics - Phenomenology · Physics 2022-09-22 Claude Pruneau , Victor Gonzales , Brian Hanley , Ana Marin , Sumit Basu

We added an additional result (theorem 1.6) that strengthenns our main theorem in the G=GL-case by establishing an equivalence of tensor categories.

alg-geom · Mathematics 2008-02-03 Vladimir Baranovsky , Victor Ginzburg

We present a graph-based variational algorithm for classification of high-dimensional data, generalizing the binary diffuse interface model to the case of multiple classes. Motivated by total variation techniques, the method involves…

Machine Learning · Statistics 2013-06-07 Cristina Garcia-Cardona , Arjuna Flenner , Allon G. Percus
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