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Quantum computing offers a promising avenue for advancing computational methods in science and engineering. In this work, we introduce the quantum asymptotic numerical method (qANM), a framework for solving nonlinear problems using quantum…

In this article, we obtain some further estimates of fundamental solutions comparing to the result of Chau-Tam-Yu and give some applications of the estimates on asymptotic behaviors of fundamental solutions.

Differential Geometry · Mathematics 2008-10-06 Chengjie Yu

We introduce amorphic complexity as a new topological invariant that measures the complexity of dynamical systems in the regime of zero entropy. Its main purpose is to detect the very onset of disorder in the asymptotic behaviour. For…

Dynamical Systems · Mathematics 2016-02-17 G. Fuhrmann , M. Gröger , T. Jäger

We show the asymptotic behavior of the eigenvalues of the non-linear integral system related to the (p,q)-Laplacian.

Spectral Theory · Mathematics 2007-05-23 D. E. Edmunds , J. Lang

The fractional heat operator $(\partial_t-\Delta_x)^s$ and Continuous Time Random Walks (CTRWs) are interesting and sophisticated mathematical models that can describe complex anomalous systems. In this paper, we prove asymptotic mean value…

Analysis of PDEs · Mathematics 2022-01-20 Carmina Fjellström , Kaj Nyström , Yuqiong Wang

In this article, we develop two types of asymptotic formulas for harmonic series in terms of single non-trivial zeros of the Riemann zeta function on the critical line. The series is obtained by evaluating the complex magnitude of an…

Number Theory · Mathematics 2019-11-15 Artur Kawalec

We employ an adapted version of H\"ormander's asymptotic systems method to show heuristically that the standard good-bad-ugly model admits formal polyhomogeneous asymptotic solutions near null infinity. In a related earlier approach, our…

General Relativity and Quantum Cosmology · Physics 2025-03-24 Miguel Duarte , Justin C. Feng , Edgar Gasperín , David Hilditch

Function approximation from input and output data pairs constitutes a fundamental problem in supervised learning. Deep neural networks are currently the most popular method for learning to mimic the input-output relationship of a general…

Machine Learning · Computer Science 2019-12-09 Nikos Kargas , Nicholas D. Sidiropoulos

We consider the asymptotic behavior of solutions to the Cauchy problem for a dispersive-dissipative equation with a cubic nonlinearity. It is known that the leading term of the asymptotic profile for the solution to this problem is the…

Analysis of PDEs · Mathematics 2025-04-03 Ikki Fukuda , Yota Irino

The differential equations of chemical kinetics are systems of nonlinear (polynomial) differential equations, therefore their solutions cannot usually be found in symbolic form. Here we offer a method to solve classes of kinetic…

Mathematical Physics · Physics 2024-02-16 Kelvin Kiprono , János Tóth

We consider sequences of biorthogonal polynomials with respect to a Cauchy type convolution kernel and give the weak and ratio asymptotic of the corresponding sequences of biorthogonal polynomials. The construction is intimately related…

Classical Analysis and ODEs · Mathematics 2019-04-02 U. Fidalgo , G. Lopez Lagomasino , S. Medina Peralta

Formal asymptotics are substantiated that describe typical dropping cusp singularity of quasiclassical approximations to solutions of two cases of the integrable nonlinear Schr\"odinger equation…

Mathematical Physics · Physics 2023-11-17 Sergej Melikhov , Bulat Suleimanov , Azamat Shavlukov

An asymptotic limit of a class of Cahn-Hilliard systems is investigated to obtain a general nonlinear diffusion equation. The target diffusion equation may reproduce a number of well-known model equations: Stefan problem, porous media…

Analysis of PDEs · Mathematics 2015-12-01 Pierluigi Colli , Takeshi Fukao

In this article we introduce a solution method for a special class of nonlinear initial-value problems using set-based propagation techniques. The novelty of the approach is that we employ a particular embedding (Carleman linearization) to…

Optimization and Control · Mathematics 2021-11-02 Marcelo Forets , Christian Schilling

In a previous paper [3] we have studied flows defined on polytopes, presenting a new method to encapsulate its asymptotic dynamics along the edge-vertex heteroclinic network. These results apply to the class of polymatrix replicator…

Dynamical Systems · Mathematics 2021-10-15 Hassan Najafi Alishah , Pedro Duarte , Telmo Peixe

Some problems in the theory and applications of stochastic processes can be reduced to solving integral equations. While explicit solutions for these equations are often elusive, valuable insights can be gained through their asymptotic…

Probability · Mathematics 2024-11-28 P. Chigansky , M. Kleptsyna

This paper studies the construction of dynamic symbolic abstractions for nonlinear control systems via dynamic quantization. Since computational complexity is a fundamental problem in the use of discrete abstractions, a dynamic quantizer…

Systems and Control · Electrical Eng. & Systems 2020-11-26 Wei Ren , Dimos V. Dimarogonas

We consider the problem of asymptotic convergence to invariant sets in interconnected nonlinear dynamic systems. Standard approaches often require that the invariant sets be uniformly attracting. e.g. stable in the Lyapunov sense. This,…

Dynamical Systems · Mathematics 2007-05-23 Ivan Tyukin , Erik Steur , Henk Nijmeijer , Cees van Leeuwen

Nonlinear systems are capable of displaying complex behavior even if this is the result of a small number of interacting time scales. A widely studied case is when complex dynamics emerges out of a nonlinear system being forced by a simple…

Quantitative Methods · Quantitative Biology 2015-06-01 Leandro M. Alonso

In this paper we study the asymptotic behavior of nonoscillatory solutions for high order differential equations of Poincar\'e type. We introduce two new and more weak than classical hypotheses on the coefficients, which implies a well…

Classical Analysis and ODEs · Mathematics 2018-05-15 Aníbal Coronel , Fernando Huancas