Advances in Functional Differential Equations and Their Stochastic Versions: Theory, Numerics, and Applications

A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "C1: Difference and Differential Equations".

Deadline for manuscript submissions: 31 July 2026 | Viewed by 30

Special Issue Editors


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Guest Editor
College of Mathematics and Information Sciences, Guangzhou University, Guangzhou 510006, China
Interests: mathematical modelling; engineering, applied and computational mathematics; mathematical analysis

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Guest Editor
College of Mathematics and Information Sciences, Guangzhou University, Guangzhou 510006, China
Interests: probability; dynamic analysis; nonlinear analysis; modal analysis; mathematical statistics; statistical analysis; statistical modeling; data analysis; applied statistics; finite element analysis

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Guest Editor
Center for Mathematical Sciences/School of Mathematics and Physics, China University of Geosciences, Wuhan 430074, China
Interests: functional analysis; applied mathematics; mathematical analysis; differential equations; numerical analysis; numerical mathematics; mathematical modelling; mathematical computing; real analysis
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Special Issue Information

Dear Colleagues,

Functional differential equations are mathematical tools that describe systems whose evolution depends not only on their current state but also on past states (delay differential equations), future states (advanced differential equations), or more generally, on their history within a function space (such as neutral differential equations). Such equations provide a more realistic representation of the widespread "time-delay" phenomena in the real world, such as the time required for signal transmission, decision-making feedback, biological growth, and the implementation of economic policies. When a system is further subjected to unpredictable random disturbances, it becomes necessary to study its stochastic version—stochastic functional differential equations. These models integrate stochastic analysis with functional analysis, offering a powerful framework for describing dynamical systems with memory effects that are influenced by noise.

This special issue entitled “Advances in Functional Differential Equations and Their Stochastic Versions: Theory, Numerics, and Applications”  aims to bring together the latest groundbreaking advances in this field, focusing on three key pillars: theoretical analysis, innovative numerical algorithms, and interdisciplinary applications. It seeks to demonstrate how functional differential equations serve as a bridge connecting profound pure mathematical theories with complex practical problems in engineering, life sciences, finance, and other domains.

Dr. Genghong Lin
Dr. Wenjuan Guo
Prof. Dr. Zhisu Liu
Guest Editors

Manuscript Submission Information

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Keywords

  • functional differential equations
  • (delay) differential equations
  • difference equations
  • stochastic differential equations
  • stability analysis
  • stochastic optimal control

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