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pro vyhledávání: '"A. Vulpiani"'
Although not as wide, and popular, as that of quantum mechanics, the investigation of fundamental aspects of statistical mechanics constitutes an important research field in the building of modern physics. Besides the interest for itself, both for ph
Externí odkaz:
http://arxiv.org/abs/2411.08709
Autor:
Lucente, Dario, Baldovin, Marco, Cecconi, Fabio, Cencini, Massimo, Cocciaglia, Niccolò, Puglisi, Andrea, Viale, Massimiliano, Vulpiani, Angelo
Current research in statistical mechanics mostly concerns the investigation of out-of-equilibrium, irreversible processes, which are ubiquitous in nature and still far from being theoretically understood. Even the precise characterization of irrevers
Externí odkaz:
http://arxiv.org/abs/2410.15925
Autor:
Gammaitoni, Luca, Vulpiani, Angelo
Publikováno v:
Found Phys 54, 67 (2024)
In this paper we present a discussion of the basic aspects of the well-known problem of prediction and inference in physics, with specific attention to the role of models, the use of data and the application of recent developments in artificial intel
Externí odkaz:
http://arxiv.org/abs/2410.03169
Autor:
Cattaneo, Marco, Baldovin, Marco, Lucente, Dario, Muratore-Ginanneschi, Paolo, Vulpiani, Angelo
We establish an analytical criterion for dynamical thermalization within harmonic systems, applicable to both classical and quantum models. Specifically, we prove that thermalization of various observables, such as particle energies in physically rel
Externí odkaz:
http://arxiv.org/abs/2409.06489
Publikováno v:
Physical Review Research, Vol 4, Iss 4, p 043103 (2022)
Data from experiments and theoretical arguments are the two pillars sustaining the job of modeling physical systems through inference. In order to solve the inference problem, the data should satisfy certain conditions that depend also upon the parti
Externí odkaz:
https://doaj.org/article/be9a2bdf5e2f43d78410751c77d881c2
Random exchange kinetic models are widely employed to describe the conservative dynamics of large interacting systems. Due to their simplicity and generality, they are quite popular in several fields, from statistical mechanics to biophysics and econ
Externí odkaz:
http://arxiv.org/abs/2312.12017
Publikováno v:
Physica A: Statistical Mechanics and its Applications 572 (2021): 125899
We consider the Prandtl-Tomlinson model in the case of a constant driving force and in the presence of thermal fluctuations. We show that the system dynamics is well reproduced by a simplified description obtained through a Markov process, even in th
Externí odkaz:
http://arxiv.org/abs/2311.02590
Publikováno v:
Phys. Rev. E 109, 014113 (2024)
The statistical properties of turbulent flows are fundamentally different from those of systems at equilibrium due to the presence of an energy flux from the scales of injection to those where energy is dissipated by the viscous forces: a scenario du
Externí odkaz:
http://arxiv.org/abs/2310.07470
Publikováno v:
Physica A: Statistical Mechanics and its Applications, 630 (2023)
In the framework of statistical mechanics the properties of macroscopic systems are deduced starting from the laws of their microscopic dynamics. One of the key assumptions in this procedure is the ergodic property, namely the equivalence between tim
Externí odkaz:
http://arxiv.org/abs/2307.03949
Nowadays many tools, e.g. fluctuation relations, are available to characterize the statistical properties of non-equilibrium systems. However, most of these tools rely on the assumption that the driving noise is normally distributed. Here we consider
Externí odkaz:
http://arxiv.org/abs/2306.14558