Spatio-temporal dynamics of general diffusive processes in heterogeneous and random environments

异构随机环境中一般扩散过程的时空动力学

• 批准号: RGPIN-2018-04371
• 负责人: Shen, Zhongwei
• 金额: $ 1.53万
• 依托单位: University of Alberta
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2020
• 资助国家: 加拿大
• 起止时间: 2020-01-01 至 2021-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=712789
• 关键词: Spatio; temporal; dynamics; general; diffusive

General diffusive processes, such as the spread of advantageous genes, the invasion of species, the migration of forest types, the propagation of flames, and the spread of infectious diseases, include both classical diffusive processes and nonlocal dispersal processes, and arise in many scientific areas such as chemistry, chemical engineering, combustion theory, ecology, epidemiology and population biology. Evolutionary equations have been widely used to model and study the evolution of general diffusive processes. Classical studies of evolutionary equations assume the environment is homogeneous in both space and time. However, many general diffusive processes in the real world encounter spatial and temporal fluctuations due to the change of environmental conditions, and such fluctuations have great influences on the persistence and spread of these processes. This motivates the study of evolutionary equations in heterogeneous and random environments. The primary goal of the proposed research program is to investigate spatio-temporal dynamics of evolutionary equations in heterogeneous and random environments. The main objectives include: 1. the investigation of the persistence theory, the global dynamics, the spreading properties of propagating solutions, and the existence, stability and qualitative properties of generalized travelling fronts for several important classes of evolutionary equations in heterogeneous or random environments, including reaction-diffusion equations in heterogeneous environments, stepping stone models or stochastic Fisher-Kolmogorov-Petrowsky-Piscunov equations, and integrodifference equations with random coefficients; 2. the study of population persistence under climate change by investigating a class of integrodifference equations subject to climate change described by the location, the velocity and the geometry of a finite favourable habitat, that moves inside the surrounding unfavourable environment. The proposed research program is expected to advance and enrich the theory of evolutionary equations in heterogeneous and random environments, to introduce new mathematical ideas and methods to study evolutionary equations for more realistic models, and to provide mathematical frameworks and tools for applications in many areas of science and engineering.

一般的扩散过程，如优势基因的传播，物种的入侵，森林类型的迁移，火焰的传播，传染病的传播，包括经典的扩散过程和非局部扩散过程，并出现在许多科学领域，如化学，化学工程，燃烧理论，生态学，流行病学和人口生物学。演化方程已被广泛用于模拟和研究一般扩散过程的演化。演化方程的经典研究假设环境在空间和时间上都是均匀的。然而，真实的世界中的许多一般扩散过程由于环境条件的变化而遭遇时空涨落，这种涨落对这些过程的持续性和传播有很大的影响。这激发了对非均匀随机环境中演化方程的研究。 该研究计划的主要目标是研究非均匀随机环境中演化方程的时空动力学。主要目标包括： 1.研究非均匀或随机环境中几类重要的演化方程的持久性理论，全局动力学，传播解的传播性质，以及广义行波前沿的存在性，稳定性和定性性质，包括非均匀环境中的反应扩散方程，垫脚石模型或随机Fisher-Kolmogorov-Petrowsky-Piscunov方程，和随机系数的积分差分方程; 2.通过研究一类受气候变化影响的积分差分方程来研究气候变化下的种群持续性，该方程由在周围不利环境中移动的有限有利栖息地的位置、速度和几何形状来描述。 拟议的研究计划预计将推进和丰富异质和随机环境中的进化方程理论，引入新的数学思想和方法来研究更现实模型的进化方程，并为许多领域的应用提供数学框架和工具科学和工程。