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For real symmetric positive definite matrices $A$ and $B$, we characterize when a function $f \in L^2(\mathbb{R}^d)$ satisfies \[ |f(x)| \lesssim e^{-(\frac12 - \lambda) \langle Ax, x\rangle} \quad \text{and} \quad |\widehat{f}(\xi)|…

Functional Analysis · Mathematics 2025-11-27 Lenny Neyt , Joachim Toft , Jasson Vindas

The key factor in implementing machine learning algorithms in decision-making situations is not only the accuracy of the model but also its confidence level. The confidence level of a model in a classification problem is often given by the…

Machine Learning · Statistics 2024-05-02 Masanari Kimura , Hiroki Naganuma

Motivated by the problem of learning a linear regression model whose parameter is a large fixed-rank non-symmetric matrix, we consider the optimization of a smooth cost function defined on the set of fixed-rank matrices. We adopt the…

Machine Learning · Computer Science 2013-04-25 B. Mishra , G. Meyer , S. Bonnabel , R. Sepulchre

We prove that for Gaussian random normal matrices the correlation function has universal behavior. Using the technique of orthogonal polynomials and identities similar to the Christoffel-Darboux formula, we find that in the limit, as the…

Mathematical Physics · Physics 2013-12-03 Roman Riser

We discuss avoidance of sure loss and coherence results for semicopulas and standardized functions, i.e., for grounded, 1-increasing functions with value $1$ at $(1,1,\ldots, 1)$. We characterize the existence of a $k$-increasing…

The renormalization of operators responsible for soft supersymmetry breaking is usually calculated by starting at some high scale and including only visible sector interactions in the evolution equations, while ignoring hidden sector…

High Energy Physics - Phenomenology · Physics 2014-11-17 M. Dine , P. J. Fox , E. Gorbatov , Y. Shadmi , Y. Shirman , S. Thomas

A huge literature in statistics and machine learning is devoted to parametric families of correlation functions, where the correlation parameters are used to understand the properties of an associated spatial random process in terms of…

Methodology · Statistics 2025-05-30 Xavier Emery , Moreno Bevilacqua , Emilio Porcu

Correlation functions in the O(n) models below the critical temperature are considered. Based on Monte Carlo (MC) data, we confirm the fact stated earlier by Engels and Vogt, that the transverse two-plane correlation function of the O(4)…

Statistical Mechanics · Physics 2016-08-24 J. Kaupuzs , R. V. N. Melnik , J. Rimsans

A real symmetric matrix (resp., tensor) is said to be copositive if the associated quadratic (resp., homogeneous) form is greater than or equal to zero over the nonnegative orthant. The problem of detecting their copositivity is NP-hard.…

Optimization and Control · Mathematics 2017-11-13 Jiawang Nie , Zi Yang , Xinzhen Zhang

It is pointed out that every renormalizable supersymmetric field theory has a symmetry which is hidden in plain sight, but is usually broken by soft terms which obey supersymmetry. On the other hand, the terms which break supersymmetry…

High Energy Physics - Phenomenology · Physics 2023-11-21 Ernest Ma

We study two- and three-point correlation functions of chiral primary half-BPS operators in four-dimensional $\mathcal{N}=2$ superconformal circular, cyclic symmetric quiver theories. Using supersymmetric localization, these functions can…

High Energy Physics - Theory · Physics 2025-01-30 Gregory P. Korchemsky , Alessandro Testa

In hep-th/9910245, Witten and Yau consider the AdS/CFT correspondence in the context of a Riemannian Einstein manifold $M^{n+1}$ of negative Ricci curvature which admits a conformal compactification with conformal boundary $N^n$. They prove…

High Energy Physics - Theory · Physics 2007-05-23 Mingliang Cai , Gregory J. Galloway

The main goal of this work is to determine which entire functions preserve nonnegativity of matrices of a fixed order $n$ -- i.e., to characterize entire functions $f$ with the property that $f(A)$ is entrywise nonnegative for every…

Rings and Algebras · Mathematics 2008-02-07 Gautam Bharali , Olga Holtz

Soft threshold factorization has been used extensively to study hadronic collisions. It is derived in the limit where the momentum fractions $x_{a,b}$ of both incoming partons approach $x_{a,b}\to 1$. We present a generalized threshold…

High Energy Physics - Phenomenology · Physics 2019-08-06 Gillian Lustermans , Johannes K. L. Michel , Frank J. Tackmann

We consider a symmetric matrix, the entries of which depend linearly on some parameters. The domains of the parameters are compact real intervals. We investigate the problem of checking whether for each (or some) setting of the parameters,…

Numerical Analysis · Computer Science 2019-05-28 Milan Hladík

In the absence of a theory of everything, modern physicists need to rely on other predictive tools and turned to Effective Field Theories (EFTs) in a number of fields, including but not limited to statistical mechanics, condensed matter,…

High Energy Physics - Theory · Physics 2023-08-17 Victor Pozsgay

We study finite-coupling effects of QFT on a rigid de Sitter (dS) background taking the $O(N)$ vector model at large $N$ as a solvable example. Extending standard large $N$ techniques to the dS background, we analyze the phase structure and…

High Energy Physics - Theory · Physics 2025-02-05 Lorenzo Di Pietro , Victor Gorbenko , Shota Komatsu

In this paper we extensively investigate the class of conditionally positive definite operators, namely operators generating conditionally positive definite sequences. This class itself contains subnormal operators, $2$- and $3$-isometries…

Functional Analysis · Mathematics 2022-01-26 Zenon Jan Jabłoński , Il Bong Jung , Jan Stochel

We show that correlation functions have to satisfy contraint relations, owing to the non-negativity of the power spectrum of the underlying random process. Specifically, for any statistically homogeneous and (for more than one spatial…

Cosmology and Nongalactic Astrophysics · Physics 2015-05-13 Peter Schneider , Jan Hartlap

Parties connected to independent sources through a network can generate correlations among themselves. Notably, the space of feasible correlations for a given network, depends on the physical nature of the sources and the measurements…

Quantum Physics · Physics 2022-02-15 Salman Beigi , Marc-Olivier Renou