Dynamical Crossovers in Prethermal Critical States.

Phys Rev Lett

Institut für Theoretische Physik, Universität zu Köln, D-50937 Cologne, Germany.

Published: March 2017

We study the prethermal dynamics of an interacting quantum field theory with an N-component order parameter and O(N) symmetry, suddenly quenched in the vicinity of a dynamical critical point. Depending on the initial conditions, the evolution of the order parameter, and of the response and correlation functions, can exhibit a temporal crossover between universal dynamical scaling regimes governed, respectively, by a quantum and a classical prethermal fixed point, as well as a crossover from a Gaussian to a non-Gaussian prethermal dynamical scaling. Together with a recent experiment, this suggests that quenches may be used in order to explore the rich variety of dynamical critical points occurring in the nonequilibrium dynamics of a quantum many-body system. We illustrate this fact by using a combination of renormalization group techniques and a nonperturbative large-N limit.

Download full-text PDF

Source
http://dx.doi.org/10.1103/PhysRevLett.118.135701DOI Listing

Publication Analysis

Top Keywords

order parameter
8
dynamical critical
8
dynamical scaling
8
dynamical
5
dynamical crossovers
4
prethermal
4
crossovers prethermal
4
prethermal critical
4
critical states
4
states study
4

Similar Publications

Predicting fall parameters from infant skull fractures using machine learning.

Biomech Model Mechanobiol

January 2025

Department of Mechanical Engineering, University of Utah, Salt Lake City, UT, 84112, USA.

When infants are admitted to the hospital with skull fractures, providers must distinguish between cases of accidental and abusive head trauma. Limited information about the incident is available in such cases, and witness statements are not always reliable. In this study, we introduce a novel, data-driven approach to predict fall parameters that lead to skull fractures in infants in order to aid in determinations of abusive head trauma.

View Article and Find Full Text PDF

Background: Low-volume hypertonic solutions, such as half-molar lactate (LAC), may be a potential treatment used for fluid resuscitation. This study aimed to evaluate the underlying cardiovascular effects and mechanisms of LAC infusion compared to sodium-matched hypertonic sodium chloride (SAL).

Methods: Eight healthy male participants were randomized in a controlled, single-blinded, crossover study.

View Article and Find Full Text PDF

Redefining diagnostic parameters: the role of overvaluation of shape and weight in binge-eating disorder: a systematic review.

J Eat Disord

January 2025

GGZ Rivierduinen Eating Disorders Ursula, Sandifortdreef 19, 2333 AK, Leiden, The Netherlands.

Introduction: Overvaluation of shape and weight is a critical component in understanding and diagnosing eating disorders. While the transdiagnostic model states that overvaluation of shape and weight is the core pathology of all eating disorders, this concept is not a criterion for binge-eating disorder. The lack of recognition of overvaluation of shape and weight may lead to overlooking, and consequently failure to address this construct during treatment.

View Article and Find Full Text PDF

In this study, we introduce a coupled fractional system consisting of two fluctuating-mass oscillators with time delay and investigate their collective resonant behaviors. First, we achieve complete synchronization between the average behaviors of these oscillators. We then derive the exact analytical expression for the output amplitude gain, and based on this, we observe generalized stochastic resonance (GSR) in the system.

View Article and Find Full Text PDF

The comprehensive benefit evaluation of LID based on multi-criteria decision-making methods faces technical issues such as the uncertainties and vagueness in hybrid information sources, which can affect the overall evaluation results and ranking of alternatives. This study introduces a multi-indicator fuzzy comprehensive benefit evaluation approach for the selection of LID measures, aiming to provide a robust and holistic framework for evaluating their benefits at the community level. The proposed methodology integrates quantitative environmental and economic indicators with qualitative social benefit indicators, combining the use of the Storm Water Management Model (SWMM) and ArcGIS for scenario-based analysis, and the use of hesitant fuzzy language sets and Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) for decision-making.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!