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Related papers: Goldstone mode singularities in O(n) models

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In this paper, we develop a wide class Mirror Descent (MD) algorithms, which play a key role in machine learning. For this purpose we formulated the constrained optimization problem, in which we exploits the Bregman divergence with the…

Machine Learning · Statistics 2025-06-18 Andrzej Cichocki

We study the l^{p_1,...,p_m} singular value problem for non-negative tensors. We prove a general Perron-Frobenius theorem for weakly irreducible and irreducible nonnegative tensors and provide a Collatz-Wielandt characterization of the…

Spectral Theory · Mathematics 2015-03-05 Antoine Gautier , Matthias Hein

We reconsider the possibility of spontaneous breaking of $R$ parity in the Minimal Supersymmetric Standard Model. By a renormalization group analysis we find the parameter space in which a sneutrino gets a vacuum expectation value, leading…

High Energy Physics - Phenomenology · Physics 2009-10-22 D. Comelli , A. Masiero , M. Pietroni , A. Riotto

A possibility of the electronic origin of the high-temperature superconductivity in cuprates is probed with the quantum Monte Carlo method by revisiting the three-band Hubbard model comprising Cu$3d_{x^2-y^2}$ and O$2p_\sigma$ orbitals. The…

Condensed Matter · Physics 2009-10-28 Kazuhiko Kuroki , Hideo Aoki

We present an approach to the momentum-space resummation of global, recursive infrared and collinear safe observables featuring kinematic zeros away from the Sudakov limit. In the hadro-production of a generic colour singlet, we consider…

High Energy Physics - Phenomenology · Physics 2022-07-12 Wojciech Bizon , Pier Francesco Monni , Emanuele Re , Luca Rottoli , Paolo Torrielli

The transverse momentum ($p_{T}$) distribution of strange hadrons ($K_{S}^{0}$ and $\Lambda$) and multi-strange hadrons( $\Xi$ and $\Omega$) measured in p$-$p, p$-$Pb, and Pb$-$Pb collisions at LHC energies have been studied for different…

High Energy Physics - Phenomenology · Physics 2020-04-22 Pritam Chakraborty , Tulika Tripathy , Subhadip Pal , Sadhana Dash

We carry out lattice simulations of two-color QCD and spectroscopy at finite density with two flavors of rooted-staggered quarks and a diquark source term. As in a previous four-flavor study, for small values of the inverse gauge coupling…

High Energy Physics - Lattice · Physics 2019-12-11 Jonas Wilhelm , Lukas Holicki , Dominik Smith , Björn Wellegehausen , Lorenz von Smekal

A two dimensional random hopping model with N-species and \pi-flux is studied. The field theory at the band center is shown to be in the universality class of GL(4m,R)/O(4m) nonlinear sigma model. Vanishing beta function suggests…

Disordered Systems and Neural Networks · Physics 2009-10-31 T. Fukui

We consider a 2D non-standard Modica-Mortola type functional. This functional arises from the Ginzburg-Landau theory of type-I superconductors in the case of an infinitely long sample and in the regime of comparable penetration and…

Analysis of PDEs · Mathematics 2025-10-10 Alessandro Cosenza , Michael Goldman , Alessandro Zilio

We study the spectral properties of matrices of long-range percolation model. These are N\times N random real symmetric matrices H=\{H(i,j)\}_{i,j} whose elements are independent random variables taking zero value with probability…

Mathematical Physics · Physics 2009-04-21 Slim Ayadi

We present a worm-type Monte Carlo study of several typical models in the three-dimensional (3D) U(1) universality class, which include the classical 3D XY model in the directed flow representation and its Villain version, as well as the 2D…

Statistical Mechanics · Physics 2019-08-30 Wanwan Xu , Yanan Sun , Jian-Ping Lv , Youjin Deng

We describe general multilevel Monte Carlo methods that estimate the price of an Asian option monitored at $m$ fixed dates. Our approach yields unbiased estimators with standard deviation $O(\epsilon)$ in $O(m + (1/\epsilon)^{2})$ expected…

Computational Finance · Quantitative Finance 2025-11-18 Nabil Kahale

The discovery of high-temperature superconductivity (HTSC) in La$_3$Ni$_2$O$_7$ has aroused significant interest in exploring the pairing mechanism. Previous studies have proposed an effective d$_{x^2-y^2}$-orbital bilayer…

Superconductivity · Physics 2025-10-07 Zeyu Chen , Yu-Bo Liu , Fan Yang

We derive new Lorentz Invariance and Equation of Motion Relations between twist-three Generalized Parton Distributions (GPDs) and moments in the parton transverse momentum, $k_T$, of twist-two Generalized Transverse Momentum-Dependent…

High Energy Physics - Phenomenology · Physics 2018-10-31 Abha Rajan , Michael Engelhardt , Simonetta Liuti

We construct new models of N=8 superconformal mechanics associated with the off-shell N=8, d=1 supermultiplets (3,8,5) and (5,8,3). These two multiplets are derived as N=8 Goldstone superfields and correspond to nonlinear realizations of…

High Energy Physics - Theory · Physics 2011-07-28 S. Bellucci , E. Ivanov , S. Krivonos , O. Lechtenfeld

In big data context, traditional MCMC methods, such as Metropolis-Hastings algorithms and hybrid Monte Carlo, scale poorly because of their need to evaluate the likelihood over the whole data set at each iteration. In order to resurrect…

Computation · Statistics 2017-06-20 Changye Wu , Christian P. Robert

We determine the scaling equation of state of the three-dimensional O(N) universality class, for N=5, 6, 32, 64. The N=5 model is relevant for the SO(5) theory of high-T_c superconductivity, while the N=6 model is relevant for the chiral…

High Energy Physics - Lattice · Physics 2007-05-23 Agostino Butti , Francesco Parisen Toldin

We report on large scale finite-temperature Monte Carlo simulations of the classical $120^\circ$ or $e_g$ orbital-only model on the simple cubic lattice in three dimensions with a focus towards its critical properties. This model displays a…

Strongly Correlated Electrons · Physics 2011-09-19 Sandro Wenzel , Andreas M. Laeuchli

Hyper-parameter optimization remains as the core issue of Gaussian process (GP) for machine learning nowadays. The benchmark method using maximum likelihood (ML) estimation and gradient descent (GD) is impractical for processing big data…

Machine Learning · Statistics 2019-06-10 Linning Xu , Feng Yin , Jiawei Zhang , Zhi-Quan Luo , Shuguang Cui

An extensive Quantum Monte Carlo calculation is performed for the two-leg Hubbard ladder model to clarify whether the singlet pairing correlation decays slowly, which is predicted from the weak-coupling theory but controversial from…

Strongly Correlated Electrons · Physics 2009-10-28 Kazuhiko Kuroki , Takashi Kimura , Hideo Aoki