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In this paper we show that the apparent failure of QCD lattice perturbation theory to account for Monte Carlo measurements of perturbative quantities results from choosing the bare lattice coupling constant as the expansion parameter. Using…

高能物理 - 格点 · 物理学 2009-10-22 G. P. Lepage , P. B. Mackenzie

Direct verification of the existence of an infinite set of multicritical non-perturbative FPs (Fixed Points) for a single scalar field in two dimensions, is in practice well outside the capabilities of the present standard approximate…

高能物理 - 理论 · 物理学 2009-10-28 Tim R. Morris

We introduce a many-body topological invariant, called the topological disorder parameter (TDP), to characterize gapped quantum phases with global internal symmetry in (2+1)d. TDP is defined as the constant correction that appears in the…

强关联电子 · 物理学 2022-09-15 Bin-Bin Chen , Hong-Hao Tu , Zi Yang Meng , Meng Cheng

Global resonance is a mechanism by which a homoclinic tangency of a smooth map can have infinitely many asymptotically stable, single-round periodic solutions. To understand the bifurcation structure one would expect to see near such a…

动力系统 · 数学 2021-08-18 Sishu Shankar Muni , Robert I. McLachlan , David J. W. Simpson

We discuss a general treatment based on the mean field plus random phase approximation (RPA) for the evaluation of subsystem entropies and negativities in ground states of spin systems. The approach leads to a tractable general method,…

量子物理 · 物理学 2011-04-21 J. M. Matera , R. Rossignoli , N. Canosa

We devise a {\sl non--perturbative} method, called {\sl Parametric Perturbation Theory} (PPT), which is alternative to the ordinary perturbation theory. The method relies on a principle of simplicity for the observable solutions, which are…

高能物理 - 唯象学 · 物理学 2007-05-23 Paolo Amore

Given a manifold $\mathbb{M}$ admitting a maximally supersymmetric consistent truncation, we show how to formulate new consistent truncations by restricting to a set of Kaluza-Klein modes on $\mathbb{M}$ invariant under some subgroup of the…

高能物理 - 理论 · 物理学 2024-09-13 Chris D. A. Blair , Martin Pico , Oscar Varela

We present the algorithmic details of the dynamical cluster approximation (DCA) algorithm. The DCA is a fully-causal approach which systematically restores non-local correlations to the dynamical mean field approximation (DMFA). The DCA is…

强关联电子 · 物理学 2007-05-23 S. Moukouri , C. Huscroft , M. Jarrell

We propose a novel approach for parameterizing the luminosity distance, based on the use of rational "Pad\'e" approximations. This new technique extends standard Taylor treatments, overcoming possible convergence issues at high redshifts…

广义相对论与量子宇宙学 · 物理学 2015-06-19 Alejandro Aviles , Alessandro Bravetti , Salvatore Capozziello , Orlando Luongo

Scaling probabilistic models to large realistic problems and datasets is a key challenge in machine learning. Central to this effort is the development of tractable probabilistic models (TPMs): models whose structure guarantees efficient…

人工智能 · 计算机科学 2020-06-30 Honghua Zhang , Steven Holtzen , Guy Van den Broeck

Density matrix renormalization group (DMRG) is one of the most powerful numerical methods available for many-body systems. In this work, we develop a perturbation theory of DMRG (PT-DMRG) to largely increase its accuracy in an extremely…

强关联电子 · 物理学 2017-03-01 Emanuele Tirrito , Shi-Ju Ran , Andrew J. Ferris , Ian P. McCulloch , Maciej Lewenstein

Within the context of the functional renormalization group flow of gravity, we suggest that a generic f(R) ansatz (i.e. not truncated to any specific form, polynomial or not) for the effective action plays a role analogous to the local…

高能物理 - 理论 · 物理学 2012-10-10 Dario Benedetti , Francesco Caravelli

In this paper we consider the problem of obtaining sharp bounds for the performance of temporal difference (TD) methods with linear function approximation for policy evaluation in discounted Markov decision processes. We show that a simple…

机器学习 · 统计学 2024-06-18 Sergey Samsonov , Daniil Tiapkin , Alexey Naumov , Eric Moulines

The random-field Ising model shows extreme critical slowdown that has been described by activated dynamic scaling: the characteristic time for the relaxation to equilibrium diverges exponentially with the correlation length, $\ln \tau\sim…

统计力学 · 物理学 2017-10-12 Ivan Balog , Gilles Tarjus

We point out that resonance saturation in QCD can be understood in the large-Nc limit from the mathematical theory of Pade Approximants to meromorphic functions. These approximants are rational functions which encompass any saturation with…

高能物理 - 唯象学 · 物理学 2009-11-13 P. Masjuan , S. Peris

We study quantum mechanical systems with a discrete spectrum. We show that the asymptotic series associated to certain paths of steepest-descent (Lefschetz thimbles) are Borel resummable to the full result. Using a geometrical approach…

高能物理 - 理论 · 物理学 2018-02-01 Marco Serone , Gabriele Spada , Giovanni Villadoro

A variant of variationally optimized perturbation, incorporating renormalization group properties in a straightforward way, uniquely fixes the variational mass interpolation in terms of the anomalous mass dimension. It is used at three…

高能物理 - 唯象学 · 物理学 2013-10-25 J. -L. Kneur , A. Neveu

The renormalization-scheme and scale dependence of the truncated QCD perturbative expansions is one of the main sources of theoretical error of the standard model predictions, especially at intermediate energies. Recently, a class of…

高能物理 - 唯象学 · 物理学 2018-09-26 Irinel Caprini

We present a general method by which linear quantum Hamiltonian dynamics with exponentially many degrees of freedom is replaced by approximate classical nonlinear dynamics with the number of degrees of freedom (phase space dimensionality)…

量子物理 · 物理学 2018-08-01 Jonathan Wurtz , Anatoli Polkovnikov , Dries Sels

Commensurate scale relations are perturbative QCD predictions which relate observable to observable at fixed relative scale, such as the ``generalized Crewther relation", which connects the Bjorken and Gross-Llewellyn Smith deep inelastic…

高能物理 - 唯象学 · 物理学 2007-05-23 S. J. Brodsky , J. Rathsman