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In the current work we build a difference analog of the Caputo fractional derivative with generalized memory kernel ($_\lambda$L2-1$_\sigma$ formula). The fundamental features of this difference operator are studied and on its ground some…

Numerical Analysis · Mathematics 2021-08-25 Aslanbek Khibiev , Anatoly Alikhanov , Chengming Huang

We propose a setup for fractionally cointegrated time series which is formulated in terms of latent integrated and short-memory components. It accommodates nonstationary processes with different fractional orders and cointegration of…

Econometrics · Economics 2019-01-30 Tobias Hartl , Roland Weigand

Contrary to integer order derivative, the fractional-order derivative of a non-constant periodic function is not a periodic function with the same period, as a consequence of this property the time-invariant fractional order system does not…

Dynamical Systems · Mathematics 2014-03-25 Mohammed-Salah Abdelouahab , Nasr-Eddine Hamri

Field equations with time and coordinates derivatives of noninteger order are derived from stationary action principle for the cases of power-law memory function and long-range interaction in systems. The method is applied to obtain a…

Mathematical Physics · Physics 2015-03-11 Vasily E. Tarasov , George M. Zaslavsky

The purpose of this article is to introduce the original results which devoted with the nonlinear control system problems involves of nonlinear differential equations of fractional orders. Thus, this system is described with a mixed of…

Optimization and Control · Mathematics 2024-04-09 B. Hassoun , R. Al-Saphory , S. Hassan

Recent experimental findings on anomalous diffusion have demanded novel models that combine annealed (temporal) and quenched (spatial or static) disorder mechanisms. The comb-model is a simplified description of diffusion on percolation…

Statistical Mechanics · Physics 2020-03-03 A. A. Tateishi , H. V. Ribeiro , T. Sandev , I. Petreska , E. K. Lenzi

Understanding how time delays impact the stability of a delay differential equation is important for modeling many natural and technological systems that experience time delays. Here we introduce a new stability criterion for…

Dynamical Systems · Mathematics 2025-08-25 Quinlan Leishman , Benjamin Webb

We present a new stability and convergence analysis for the spatial discretization of a time-fractional Fokker--Planck equation in a convex polyhedral domain, using continuous, piecewise-linear, finite elements. The forcing may depend on…

Numerical Analysis · Mathematics 2019-02-11 Kim Ngan Le , William McLean , Kassem Mustapha

Fractional difference operators possess nonlocal structure which largely affects and complicates the qualitative analysis of fractional difference equations. In this article, we discuss the effect of this memory property on asymptotic…

General Mathematics · Mathematics 2022-05-02 Jagan Mohan Jonnalagadda

This paper establishes a rigorous spectral framework for the Weighted Weyl Fractional Calculus, designed to model non-local systems exhibiting aging and subjective time scales. By constructing a conjugation map involving a time-dependent…

Spectral Theory · Mathematics 2026-01-06 Gustavo Dorrego

Existence and spatio-temporal symmetric patterns of periodic solutions to second order reversible equivariant non-autonomous periodic systems with multiple delays are studied under the Hartman-Nagumo growth conditions. The method is based…

Dynamical Systems · Mathematics 2020-06-01 Zalman Balanov , Wieslaw Krawcewicz , Norimichi Hirano , Xiaoli Ye

We construct fractionally integrated continuous-time GARCH models, which capture the observed long range dependence of squared volatility in high-frequency data. Since the usual Molchan-Golosov and Mandelbrot-van-Ness fractional kernels…

Statistics Theory · Mathematics 2018-01-01 Stephan Haug , Claudia Klüppelberg , German Straub

We establish sharp nonlinear stability results for fronts that describe the creation of a periodic pattern through the invasion of an unstable state. The fronts we consider are critical, in the sense that they are expected to mediate…

Analysis of PDEs · Mathematics 2026-03-26 Montie Avery , Paul Carter , Björn de Rijk , Arnd Scheel

This paper establishes explicit solutions for fractional diffusion problems on bounded domains. It also gives stochastic solutions, in terms of Markov processes time-changed by an inverse stable subordinator whose index equals the order of…

Probability · Mathematics 2016-04-22 Boris Baeumer , Tomasz Luks , Mark M. Meerschaert

In this paper, by employing fixed-point methods, we obtain the existence and uniqueness results for the nonlinear implicit fractional differential equations in Banach spaces. Further, we obtain the uniqueness, dependence of the solution on…

Dynamical Systems · Mathematics 2020-07-20 Sagar T. Sutar , Kishor D. Kucche

The purpose of this paper is twofold. Firstly, we provide explicit and compact formulas for computing both Caputo and (modified) Riemann-Liouville (RL) fractional pseudospectral differentiation matrices (F-PSDMs) of any order at general…

Numerical Analysis · Mathematics 2015-03-30 Yujian Jiao , Li-Lian Wang , Can Huang

In this article, we systematically explain how to apply the analytical technique called the invariant subspace method to find various types of analytical solutions for a coupled nonlinear time-fractional system of partial differential…

Analysis of PDEs · Mathematics 2024-06-17 K. S. Priyendhu , P. Prakash , M. Lakshmanan

Real-world dynamical systems with retardation effects are described in general not by a single, precisely defined time delay, but by a range of delay times. An exact mapping onto a set of $N+1$ ordinary differential equations exists when…

Dynamical Systems · Mathematics 2023-08-16 Daniel Henrik Nevermann , Claudius Gros

Accumulated detailed knowledge about the neuronal activities in human brains has brought more attention to bio-inspired spiking neural networks (SNNs). In contrast to non-spiking deep neural networks (DNNs), SNNs can encode and transmit…

Neural and Evolutionary Computing · Computer Science 2024-10-22 Yi Yang , Richard M. Voyles , Haiyan H. Zhang , Robert A. Nawrocki

This paper introduces a novel methodology for solving distributed-order fractional differential equations using a physics-informed machine learning framework. The core of this approach involves extending the support vector regression (SVR)…

Machine Learning · Computer Science 2024-09-06 Alireza Afzal Aghaei