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In this work, we systematically treat the ambiguities that generically arise in the gradient expansion of any hydrodynamic theory. While these ambiguities do not affect the physical content of the equations, they induce two types of…

High Energy Physics - Theory · Physics 2026-01-08 Sašo Grozdanov , Mile Vrbica

We give a pedagogical review of how concepts from quantum information theory build up the gravitational side of the AdS/CFT correspondence. The review is self-contained in that it only presupposes knowledge of quantum mechanics and general…

High Energy Physics - Theory · Physics 2022-07-20 Bowen Chen , Bartlomiej Czech , Zi-zhi Wang

Bifurcation phenomena are common in multi-dimensional multi-parameter dynamical systems. Normal form theory suggests that the bifurcations themselves are driven by relatively few parameters; however, these are often nonlinear combinations…

Dynamical Systems · Mathematics 2023-11-29 Christian N. K. Anderson , Mark K. Transtrum

In recent decades, it has been emphasized that the evolving structure of networks may be shaped by interaction principles that yield sparse graphs with a vertex degree distribution exhibiting an algebraic tail, and other structural traits…

Statistical Mechanics · Physics 2025-07-01 Dario Borrelli

In a recent paper, a continuum theory of immiscible and incompressible two-phase flow in porous media based on generalized thermodynamic principles was formulated (Transport in Porous Media, 125, 565 (2018)). In this theory, two immiscible…

Fluid Dynamics · Physics 2025-02-05 Håkon Pedersen , Alex Hansen

In this work, we study generalized entropies and information geometry in a group-theoretical framework. We explore the conditions that ensure the existence of some natural properties and at the same time of a group-theoretical structure for…

Mathematical Physics · Physics 2021-08-03 Miguel A. Rodríguez , Álvaro Romaniega , Piergiulio Tempesta

In this paper, we obtain a holographic model of dark energy using the fluid/gravity duality. This model will be dual to a higher dimensional Schwarzschild black hole, and we would use fluid/gravity duality to relate to the parameters of…

High Energy Physics - Theory · Physics 2018-03-28 Behnam Pourhassan , Alexander Bonilla , Mir Faizal , Everton M. C. Abreu

Information geometry is a mathematical framework that elucidates the manifold structure of the probability distribution space (p-space), providing a systematic approach to transforming probability distributions (PDs). In this study, we…

Data Analysis, Statistics and Probability · Physics 2025-06-30 Tomotaka Oroguchi , Rintaro Inoue , Masaaki Sugiyama

Building on previous work, this paper extends the modeling of political structures from simplicial complexes to hypergraphs. This allows the analysis of more complex political dynamics where agents who are willing to form coalitions contain…

Physics and Society · Physics 2024-04-24 Ismar Volic , Zixu Wang

Liquid water, besides being fundamental for life on Earth, has long fascinated scientists due to several anomalies. Different hypotheses have been put forward to explain these peculiarities. The most accredited one foresees the presence in…

Numerical Analysis · Mathematics 2022-10-26 Michele Benzi , Isabella Daidone , Chiara Faccio , Laura Zanetti-Polzi

The methods of Information geometry have been glowing up to develop various subjects of theoretical physics, including quantum information systems. The present article has two purposes. The first one is to develop general theory of…

Differential Geometry · Mathematics 2024-08-06 Jun-ichi Inoguchi , Yu Ohno

Diffuse interface methods have recently been introduced for the task of semi-supervised learning. The underlying model is well-known in materials science but was extended to graphs using a Ginzburg--Landau functional and the graph…

Machine Learning · Statistics 2016-11-21 Jessica Bosch , Steffen Klamt , Martin Stoll

Topology identification and inference of processes evolving over graphs arise in timely applications involving brain, transportation, financial, power, as well as social and information networks. This chapter provides an overview of graph…

Signal Processing · Electrical Eng. & Systems 2025-12-12 Gonzalo Mateos , Yanning Shen , Georgios B. Giannakis , Ananthram Swami

Can we learn the differential equations governing the evolution of a temporal network? We investigate this within Random Dot Product Graphs (RDPGs), where each network snapshot is generated from latent positions evolving under unknown…

Methodology · Statistics 2026-03-09 Giulio Valentino Dalla Riva

By means of an envelope function analysis, we perform a numerical investigation of the conductance behavior of a graphene structure consisting of two regions (dots) connected to the entrance and exit leads through constrictions and…

Mesoscale and Nanoscale Physics · Physics 2013-12-24 Paolo Marconcini , Massimo Macucci

Several geometric flows on symplectic manifolds are introduced which are potentially of interest in symplectic geometry and topology. They are motivated by the Type IIA flow and T-duality between flows in symplectic geometry and flows in…

Symplectic Geometry · Mathematics 2021-11-30 Teng Fei , Duong H. Phong

Topological dynamics constitutes the study of asymptotic properties of orbits under flows or maps on the Hausdorff phase space. Hyperbolic dynamics is the study of differentiable flows or maps that are usually characterized by the presence…

Dynamical Systems · Mathematics 2025-09-11 Anima Nagar

In this dissertation, we review results on quantum information constraints in gravity that are relevant to cosmological models and demonstrate how this approach sheds light on cosmological holography. Using Jackiw-Teitelboim gravity as a…

High Energy Physics - Theory · Physics 2025-10-20 Victor Franken

Information physics considers physical laws to result from the consistent quantification and processing of information about physical phenomena. In previous efforts, one of us (Knuth) has shown that a simple model of particles that directly…

Quantum Physics · Physics 2016-04-28 James Lyons Walsh , Kevin H. Knuth

There has been increasing interest in the integrated information theory (IIT) ofconsciousness, which hypothesizes that consciousness is integrated information withinneuronal dynamics. However, the current formulation of IIT poses both…

Neurons and Cognition · Quantitative Biology 2017-07-04 Satohiro Tajima , Ryota Kanai
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