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Models for deterministic quantum mechanics of Cartan-Randers type are introduced, together with the fundamental notions of the concentration of measure theory. We explain how the application of the concentration of measure to Cartan-Randers…

Quantum Physics · Physics 2020-03-10 Ricardo Gallego Torromé

We argue that colossal magnetoresistance is a critical phenomenon and propose a mechanism to describe it. The mechanism relies on the halfmetallic behavior of the materials showing colossal magnetoresistance, and yields a correlated…

Condensed Matter · Physics 2007-05-23 Paul J. M. Bastiaansen , Hubert J. F. Knops

The problem of critical behaviour of three dimensional random anisotropy magnets, which constitute a wide class of disordered magnets is considered. Previous results obtained in experiments, by Monte Carlo simulations and within different…

Disordered Systems and Neural Networks · Physics 2009-11-10 M. Dudka , R. Folk , Yu. Holovatch

We obtain rates of convergence in limit theorems of partial sums $S_n$ for certain sequences of dependent, identically distributed random variables, which arise naturally in statistical mechanics, in particular, in the context of the…

Probability · Mathematics 2009-08-14 Peter Eichelsbacher , Matthias Löwe

The purpose of this paper is to investigate the deviation inequalities and the moderate deviation principle of the least squares estimators of the unknown parameters of general $p$th-order bifurcating autoregressive processes, under…

Probability · Mathematics 2012-04-12 Hacène Djellout , Valère Bitseki Penda

In this paper, we study loaded modified diffusion equation (the Hallaire equation with the fractional derivative with respect to time). The compact finite difference scheme of Crank-Nicholson type of higher order is developed for…

Numerical Analysis · Mathematics 2019-03-12 Anatoly Alikhanov , Murat Beshtokov , Mani Mehra

We investigate the Ising model in one, two, and three dimensions using a cumulant method that allows us to determine the Lee-Yang zeros from the magnetization fluctuations in small lattices. By doing so with increasing system size, we are…

Statistical Mechanics · Physics 2020-11-13 Aydin Deger , Fredrik Brange , Christian Flindt

I review the theoretical foundations, properties as well as the simulation results obtained so far of a variant of the Wilson lattice QCD formulation: Wilson twisted mass lattice QCD. Emphasis is put on the discretization errors and on the…

High Energy Physics - Lattice · Physics 2008-05-19 A. Shindler

The weak itinerant ferromagnet UIr is studied by magnetization and magnetostriction measurements. Critical behavior, which surprisingly extends up to several Tesla, is observed at the Curie temperature $T_C\simeq45$ K and is analyzed using…

Strongly Correlated Electrons · Physics 2010-03-16 W. Knafo , C. Meingast , S. Sakarya , N. H. van Dijk , Y. Huang , H. Rakoto , J. -M. Broto , H. v. Löhneysen

We investigate the Kramers-Wannier approximation for the three-dimensional (3D) Ising model. The variational state is represented by an effective 2D Ising model, which contains two variational parameters. We numerically calculate the…

Statistical Mechanics · Physics 2007-05-23 Kouichi Okunishi , Tomotoshi Nishino

We apply the well-established theoretical method developed for geometrical nonlinearities of micro/nano-mechanical clamped beams to circular drums. The calculation is performed under the same hypotheses, the extra difficulty being to…

Mesoscale and Nanoscale Physics · Physics 2020-09-25 D. Cattiaux , S. Kumar , X. Zhou , A. Fefferman , E. Collin

In the process of constructing invariant difference schemes which approximate partial differential equations we write down a procedure for discretizing an arbitrary partial differential equation on an arbitrary lattice. An open problem is…

Mathematical Physics · Physics 2016-04-27 Decio Levi , Miguel A. Rodriguez

A recent paper [Physical Review {\bf B 64} 014508 (2001)] claims to present an exact method to extract the critical current density J$_C$ from the M-H hysteresis curve. We show that this claim appears unjustified.

Superconductivity · Physics 2007-05-23 P. Chaddah

In this paper, we consider the large deviations for dynamical Schr\"odinger problems, using the variational approach developed by Dupuis, Ellis, Budhiraja, and others. Recent results on scaled families of Schr\"odinger problems, in…

Probability · Mathematics 2025-11-21 Viktor Nilsson , Pierre Nyquist

The chiral magnetic wave (CMW) is a macroscopic quantum phenomenon that arises due to the mixing of the electric and chiral charge oscillations induced by the chiral anomaly. In this study we report the first quantum simulation (on…

High Energy Physics - Phenomenology · Physics 2024-02-07 Kazuki Ikeda , Dmitri E. Kharzeev , Shuzhe Shi

After reviewing the variational approach to splitting mean flow and fluctuation kinetics in the standard Vlasov theory, the same method is applied to the drift-kinetic equation from Littlejohn's theory of guiding-center motion. This process…

Plasma Physics · Physics 2020-03-05 Cesare Tronci

We study the correlated-disorder driven zero-temperature phase transition of the Random-Field Ising Magnet using exact numerical ground-state calculations for cubic lattices. We consider correlations of the quenched disorder decaying…

Disordered Systems and Neural Networks · Physics 2015-05-28 Björn Ahrens , Alexander K. Hartmann

By using the conjugate distribution technique of Cram\'er, we obtain some expansions of large deviation probabilities for martingales with differences satisfying the conditional Bernstein's condition. The expansions are of the same order as…

Probability · Mathematics 2014-09-16 Xiequan Fan , Ion Grama , Quansheng Liu

Critical fluctuations play a fundamental role in determining the spin orders for low-dimensional quantum materials, especially for recently discovered two-dimensional (2D) magnets. Here we employ the quantum decoherence imaging technique…

Mesoscale and Nanoscale Physics · Physics 2024-07-02 Yuxin Li , Zhe Ding , Chen Wang , Haoyu Sun , Zhousheng Chen , Pengfei Wang , Ya Wang , Ming Gong , Hualing Zeng , Fazhan Shi , Jiangfeng Du

Inferring the means in the multivariate normal model $X \sim N_n(\theta, I)$ with unknown mean vector $\theta=(\theta_1,...,\theta_n)' \in \mathbb{R}^n$ and observed data $X=(X_1,...,X_n)'\in {\mathbb R}^n$ is a challenging task, known as…

Methodology · Statistics 2023-06-21 Chuanhai Liu