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We present a method of solving master equations which may describe, in their most general form, phase sensitive processes such as decay and amplification. We make use of the superoperator technique.

Quantum Physics · Physics 2009-11-07 A. Vidiella-Barranco , Luis M. Arevalo-Aguilar , H. Moya-Cessa

Often a non-linear mechanical problem is formulated as a non-linear differential equation. A new method is introduced to find out new solutions of non-linear differential equations if one of the solutions of a given non-linear differential…

Chaotic Dynamics · Physics 2007-05-23 C. Radhakrishnan Nair

We describe a general operational method that can be used in the analysis of fractional initial and boundary value problems with additional analytic conditions. As an example, we derive analytic solutions of some fractional generalisation…

Analysis of PDEs · Mathematics 2013-04-04 Roberto Garra , Federico Polito

To be able to solve operator equations numerically a discretization of those operators is necessary. In the Galerkin approach bases are used to achieve discretized versions of operators. In a more general set-up, frames can be used to…

Functional Analysis · Mathematics 2016-12-20 Peter Balazs , Georg Rieckh

Differential equations on spaces of operators are very little developed in Mathematics, being in general very challenging. Here, we study a novel system of such (non-linear) differential equations. We show it has a unique solution for all…

Mathematical Physics · Physics 2025-01-22 Jean-Bernard Bru , Nathan Metraud

We provide a representation of the $C^*$-algebra generated by multidimensional integral operators with piecewise constant kernels and discrete ergodic operators. This representation allows us to find the spectrum and to construct the…

Mathematical Physics · Physics 2020-05-22 Anton A. Kutsenko

We develop a Fourier analysis for a generalization of the class of periodic functions, often referred to as $(\theta, T)$-periodic functions, and prove several properties and inequalities related to the Fourier transform, including a type…

Analysis of PDEs · Mathematics 2025-12-19 André Pedroso Kowacs , Marielle Aparecida Silva

For the first time, Schr\"odinger equations with cubic and more complex nonlinearities containing the unknown function with constant delay are analyzed. The physical considerations that can lead to the appearance of a delay in such…

Exactly Solvable and Integrable Systems · Physics 2025-01-09 Andrei D. Polyanin , Nikolay A. Kudryashov

We present an equation generator algorithm that utilizes second-quantized operators in normal order with respect to a correlated or non-correlated reference and the corresponding Wick theorem. The algorithm proposed here, written with…

Chemical Physics · Physics 2023-08-31 Raúl Quintero-Monsebaiz , Pierre-François Loos

On the basis of the explicit formulae for the action of the unitary group of exponentials corresponding to almost solvable extensions of a given closed symmetric operator with equal deficiency indices, we derive a new representation for the…

Spectral Theory · Mathematics 2018-05-21 Kirill D. Cherednichenko , Alexander V. Kiselev , Luis O. Silva

We show that the method of separation of variables gives a natural generalisation of integral relations for classical special functions of one variable. The approach is illustrated by giving a new proof of the ``quadratic'' integral…

q-alg · Mathematics 2015-11-13 Vadim B. Kuznetsov , Evgueni K. Sklyanin

In this paper, we demonstrate an elementary method for constructing new solutions to Bochner's problem for matrix differential operators from known solutions. We then describe a large family of solutions to Bochner's problem, obtained from…

Classical Analysis and ODEs · Mathematics 2019-07-31 William Casper

Building up on classical linear formulations, we posit that a broad class of problems in signal synthesis and in signal recovery are reducible to the basic task of finding a point in a closed convex subset of a Hilbert space that satisfies…

Optimization and Control · Mathematics 2021-05-18 Patrick L. Combettes , Zev C. Woodstock

A symbolic computational algorithm which detects " linear "` solutions of nonlinear polynomial differential equations of single functions, is developed throughout this paper.

Dynamical Systems · Mathematics 2007-05-23 Stelios Kotsios

The basic concepts of classical mechanics are given in the operator form. The dynamical equation for a hybrid system, consisting of quantum and classical subsystems, is introduced and analyzed in the case of an ideal nonselective…

Quantum Physics · Physics 2007-05-23 S. Prvanovic , Z. Maric

We employ the framework of operational calculus to derive the operators associated with the spherical mean and a class of related averaging means of a function in $n$-dimensional space. Beginning with the classical definition of the…

Classical Analysis and ODEs · Mathematics 2026-01-23 Julius Lehmann

We propose a novel discretization procedure for the classical Euler equation based on the theory of Galois differential algebras and the finite operator calculus developed by G.C. Rota and collaborators. This procedure allows us to define…

Mathematical Physics · Physics 2025-07-09 Miguel A. Rodríguez , Piergiulio Tempesta

Linear differential equations of arbitrary order with polynomial coefficients are considered. Specifically, necessary and sufficient conditions for the existence of polynomial solutions of a given degree are obtained for these equations. An…

Mathematical Physics · Physics 2011-09-27 H. Azad , A. Laradji , M. T. Mustafa

We present a new solution for fundamental problems in nonlinear dynamical systems: finding, verifying, and stabilizing cycles. The solution we propose consists of a new control method based on mixing previous states of the system (or the…

Dynamical Systems · Mathematics 2017-12-19 D. Dmitrishin , I. E. Iacob , I. Skrinnik , A. Stokolos

We present an operator learning framework for solving non-perturbative functional renormalization group equations, which are integro-differential equations defined on functionals. Our proposed approach uses Gaussian process operator…

Machine Learning · Computer Science 2025-12-25 Xianjin Yang , Matthieu Darcy , Matthew Hudes , Francis J. Alexander , Gregory Eyink , Houman Owhadi
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