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We develop a finite-dimensional sensitivity framework for studying stability in learning systems whose states include representations, parameters, and update variables. The central object is the \emph{Learning Stability Profile}, a…

Machine Learning · Computer Science 2026-05-26 Ronald Katende

In this paper, we analyze the pressureless damped Euler-Riesz equations posed in either $\mathbb{R}^d$ or $\mathbb{T}^d$. We construct the global-in-time existence and uniqueness of classical solutions for the system around a constant…

Analysis of PDEs · Mathematics 2021-04-13 Young-Pil Choi , Jinwook Jung

At the physical level of rigour it is shown that there are no substantial theoretical arguments in favour of using either plasma mode permittivity or Drude model permittivity in the Lifshitz formula. The decision in this question rests with…

Quantum Physics · Physics 2022-12-22 V. V. Nesterenko

This paper introduces recurrent equilibrium networks (RENs), a new class of nonlinear dynamical models} for applications in machine learning, system identification and control. The new model class admits ``built in'' behavioural guarantees…

Machine Learning · Computer Science 2023-07-13 Max Revay , Ruigang Wang , Ian R. Manchester

The concept of matrix $D$-stability, introduced in 1958 by Arrow and McManus is of major importance due to the variety of its applications. However, characterization of matrix $D$-stability for dimensions $n > 4$ is considered as a hard…

Spectral Theory · Mathematics 2026-04-21 Olga Y. Kushel

This paper provides a qualitative analysis of a non-uniform Euler-Bernoulli beam with degenerate flexural rigidity, subjected to axial force and boundary control with time delay $\tau > 0$. By reformulating the system as an abstract…

Analysis of PDEs · Mathematics 2025-12-23 Ben Bakary Junior Siriki , Adama Coulibaly

A fundamental issue in the renormalization-group (RG) theory of critical phenomena concerns the allowed values of critical exponents that are consistent with the continuous nature of a phase transition. Here we conjecture a lower bound for…

Statistical Mechanics · Physics 2026-03-11 Andrea Pelissetto , Ettore Vicari

We consider the 3-dimensional massive Gross-Neveu model at finite temperature as an effective theory for strong interactions. Using the Matsubara imaginary time formalism, we derive a closed form for the renormalized $T$-dependent…

High Energy Physics - Theory · Physics 2010-12-01 F. C. Khanna , A. P. C. Malbouisson , J. M. C. Malbouisson , A. E. Santana

We generalize an orthonormality relation between decay eigenmodes of equilibrium systems to nonequilibrium markovian generators which commute with their time-reversal. Viewing such modes as tangent vectors to the manifold of statistical…

Statistical Mechanics · Physics 2014-09-17 Matteo Polettini

The free-energy difference $\Delta F$ between two high-dimensional systems is notoriously difficult to compute, but very important for many applications, such as drug discovery. We demonstrate that an unconventional definition of work…

Soft Condensed Matter · Physics 2024-10-24 Adrianne Zhong , Benjamin Kuznets-Speck , Michael R. DeWeese

The AC frequency in electrical power systems is conventionally regulated by synchronous machines. The gradual replacement of these machines by asynchronous renewable-based generation, which provides little or no frequency control, increases…

Optimization and Control · Mathematics 2019-06-13 Richard Pates , Enrique Mallada

The Modified Fluctuation Dissipation Theorem (MFDT) proposed by G. Verley et al. {\it (EPL 93, 10002, (2011))} for non equilibrium transient states is experimentally studied. We apply MFDT to the transient relaxation dynamics of the…

Statistical Mechanics · Physics 2015-09-30 Isaac Theurkauff , Aude Caussarieu , Artyom Petrosyan , Sergio Ciliberto

We analyze in detail, beyond the usual scaling hypothesis, the finite-size convergence of static quantities toward the thermodynamic limit. In this way we are able to obtain sequences of pseudo-critical points which display a faster…

Statistical Mechanics · Physics 2008-04-10 M. Roncaglia , L. Campos Venuti , C. Degli Esposti Boschi

We consider quantum dynamical systems specified by a unitary operator U and an initial state vector \phi. In each step the unitary is followed by a projective measurement checking whether the system has returned to the initial state. We…

Quantum Physics · Physics 2015-06-04 F. A. Grünbaum , L. Velázquez , A. H. Werner , R. F. Werner

We continue the dynamical reformulation of the Riemann Hypothesis initiated in [1]. The framework is built from an integer map in which composites advance by pi(m) and primes retreat by their prime gap, producing trajectories whose…

Dynamical Systems · Mathematics 2025-09-23 Hendrik Wladimir Albrecht Edwin Kuipers

A foundational assumption in complex-system collapse studies is that critical transitions are second-order, preceded by early-warning signals like rising autocorrelation, variance, and critical slowing down (Scheffer, 2009). We show this…

Artificial Intelligence · Computer Science 2026-03-17 Truong Xuan Khanh , Truong Quynh Hoa

A recently proposed regularization-independent method is used for the first time to solve the renormalized fermion Schwinger-Dyson equation numerically in quenched QED$_4$. The Curtis-Pennington vertex is used to illustrate the technique…

High Energy Physics - Phenomenology · Physics 2010-03-04 A. Kizilersu , T. Sizer , A. G. Williams

We theoretically explore the Bochkov-Kuzovlev-Jarzynski-Crooks work theorems in a finite system subject to external control, which is coupled to a heat reservoir. We first elaborate the mechanical energy-balance between the system and the…

Statistical Mechanics · Physics 2015-09-02 Chang Sub Kim

Decidability of the problems of unboundedness and simultaneous unboundedness (aka. the diagonal problem) for higher-order recursion schemes was established by Clemente, Parys, Salvati, and Walukiewicz (2016). Then a procedure of optimal…

Logic in Computer Science · Computer Science 2022-04-26 David Barozzini , Paweł Parys , Jan Wróblewski

Most existing generation scheduling models for power systems under demand uncertainty rely on energy-based formulations with a finite number of time periods, which may fail to ensure that power supply and demand are balanced continuously…

Optimization and Control · Mathematics 2025-04-02 Youngchae Cho , Insoon Yang , Takayuki Ishizaki