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Local fractional derivative and integrals are revealed as one of useful tools to deal with everywhere continuous but nowhere differentiable functions in fractal areas ranging from fundamental science to engineering. In this paper, a…

Mathematical Physics · Physics 2012-06-25 Yang Xiao-Jun

We find new universal factorization identities for generalized Macdonald polynomials on the topological locus. We prove the identities (which include all previously known forumlas of this kind) using factorization identities for matrix…

High Energy Physics - Theory · Physics 2017-10-25 Yegor Zenkevich

In this paper, we first prove monotonicity of a generalized para bolic frequency on weighted closed Riemannian manifolds for some linear heat equation. Secondly, a certain generalized parabolic frequency functional is defined with respect…

Analysis of PDEs · Mathematics 2023-10-30 Abimbola Abolarinwa , Shahroud Azami

In this paper, we derive the Onsager--Machlup functional for a second-order Newton-type stochastic system driven by time-dependent fractional noise, \[ X_t'' = f_t(X_t, X_t') + \sigma_t \,\xi_t^{H}, \] where \( H \in (1/4,1) \). The…

Dynamical Systems · Mathematics 2026-02-25 Yanbin Zhu , Xiaomeng Jiang , Yong Li

We prove a generalized fluctuation-dissipation theorem for a certain class of out-of-time-ordered correlators (OTOCs) with a modified statistical average, which we call bipartite OTOCs, for general quantum systems in thermal equilibrium.…

Statistical Mechanics · Physics 2018-02-07 Naoto Tsuji , Tomohiro Shitara , Masahito Ueda

In the paper we begin a description of functional methods of quantum field theory for systems of interacting q-particles. These particles obey exotic statistics and are the q-generalization of the colored particles which appear in many…

High Energy Physics - Theory · Physics 2016-09-06 K. N. Ilinski , G. V. Kalinin , A. S. Stepanenko

This paper presents a fairly general version of the well-known Gleason-Kahane-$\dot{\text{Z}}$elazko (GKZ) theorem in the spirit of a GKZ type theorem obtained recently by Mashreghi and Ransford for Hardy spaces. In effect, we characterize…

Functional Analysis · Mathematics 2023-10-27 Jaikishan , Sneh Lata , Dinesh Singh

In this paper, we give a review of fractal calculus which is an expansion of standard calculus. Fractal calculus is applied for functions which are not differentiable or integrable on totally disconnected fractal sets such as middle-$\mu$…

Dynamical Systems · Mathematics 2019-11-05 Cemil Tunc , Alireza Khalili Golmankhaneh

In this work, we study a new spectral Petrov-Galerkin approximation of space-time fractional reaction-diffusion equations with viscosity terms built by Riemann-Liouville fractional-order derivatives. The proposed method is reliant on…

Numerical Analysis · Mathematics 2019-11-26 Zhe Yu , Boying Wu , Jiebao Sun , Wenjie Liu

The stationary distribution of a fully chaotic system typically exhibits a fractal structure, which dramatically changes if the dynamical equations are even slightly modified. Perturbative techniques are not expected to work in this…

Chaotic Dynamics · Physics 2017-06-26 Jeffrey M. Heninger , Domenico Lippolis , Predrag Cvitanovic

By a general shot noise process we mean a shot noise process in which the counting process of shots is arbitrary locally finite. Assuming that the counting process of shots satisfies a functional limit theorem in the Skorokhod space with a…

Probability · Mathematics 2020-05-06 Alexander Iksanov , Bohdan Rashytov

In this paper, we establish lower bounds for the oracle complexity of the first-order methods minimizing regularized convex functions. We consider the composite representation of the objective. The smooth part has H\"older continuous…

Optimization and Control · Mathematics 2022-02-10 Nikita Doikov

By use of window functions, time-frequency analysis tools like Short Time Fourier Transform overcome a shortcoming of the Fourier Transform and enable us to study the time- frequency characteristics of signals which exhibit transient os-…

Information Theory · Computer Science 2013-07-25 Sangnam Nam

We present a method to probe the Out-of-Time-Order Correlators (OTOCs) of a general system by coupling it to a harmonic oscillator probe. When the system's degrees of freedom are traced out, the OTOCs imprint themselves on the generalized…

High Energy Physics - Theory · Physics 2020-01-08 Soumyadeep Chaudhuri , R. Loganayagam

We prove the holding of chaos in the sense of Li-Yorke for a family of four-dimensional discrete dynamical systems that are naturally associated to ODE systems describing coupled oscillators subject to an external non-conservative force,…

Chaotic Dynamics · Physics 2026-02-18 Stefano Disca , Vincenzo Coscia

The generalized Klein-Nishina formula for Compton scattering of charged particles by a finite train of pulses is derived in the framework of quantum electrodynamics. The formula also applies to classical Thomson scattering provided that…

High Energy Physics - Phenomenology · Physics 2015-08-04 K. Krajewska , F. Cajiao Vélez , J. Z. Kamiński

We introduce the notion of $k$-regular factorizations for contractions into $k$ factors, generalizing the classical notion of regular factorization due to Sz.-Nagy and Foia\c{s}, and develop a systematic framework for their analysis. Using…

Operator Algebras · Mathematics 2026-05-28 Kalpesh J. Haria , Aashish Kumar Maurya

Motivated by recent results concerning the asymptotic behaviour of differential operators with highly contrasting coefficients, which have involved effective descriptions involving generalised resolvents, we construct the functional model…

Spectral Theory · Mathematics 2024-11-06 Kirill D. Cherednichenko , Yulia Yu. Ershova , Sergey N. Naboko

We estimate the behavior of the generalized eigenfunctions of critical Dirac operators (which are Dirac operators with eigenfunctions and/or resonances for $E=m$) plus small perturbations in the potential. The results also apply for other…

Mathematical Physics · Physics 2007-05-23 Peter Pickl

Classical neural ordinary differential equations (ODEs) are powerful tools for approximating the log-density functions in high-dimensional spaces along trajectories, where neural networks parameterize the velocity fields. This paper…

Optimization and Control · Mathematics 2025-01-30 Mo Zhou , Stanley Osher , Wuchen Li
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