Analysis of a general reaction–diffusion model using Lie symmetries and conservation laws

IF 2 3区 化学 Q3 CHEMISTRY, MULTIDISCIPLINARY Journal of Mathematical Chemistry Pub Date : 2024-10-01 DOI:10.1007/s10910-024-01679-5
Sol Sáez-Martínez
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Abstract

Turing’s model to explains the formation of patterns in morphogenesis considered a system of chemicals, termed morphogens, that react and diffuse through tissues. These reaction–diffusion systems can start homogeneously but later develop patterns due to instabilities triggered by random disturbances. Building on this foundation, Kepper realized the Chlorite-Iodide Malonic-Acid reaction, an example of an oscillatory reaction in a homogeneous solution that forms spatial patterns in a non-homogeneous environment. This work led to further studies, such as the Lengyel-Epstein reaction–diffusion model, which describes the dynamics of chemical concentrations of activator and inhibitor species. This paper extends these classical models by investigating a general reaction–diffusion system through the lens of Lie symmetries. We analyze the system using Lie point symmetry generators and Lie symmetry groups, enabling us to reduce the equations via these symmetries. Furthermore, we compute the conservation laws for the general reaction–diffusion model using the multipliers approach, involving dependent variables, independent variables, and their derivatives up to a certain order. By applying various symmetry groups, we derive new solutions from known ones, offering deeper insights into the dynamics of pattern formation in biological systems.

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用李氏对称和守恒定律分析一般反应-扩散模型
图灵的模型解释了形态发生模式的形成,认为这是一种化学物质系统,称为形态原,在组织中发生反应和扩散。这些反应扩散系统可以均匀地开始,但由于随机干扰引发的不稳定性,后来发展成模式。在此基础上,Kepper实现了碘化亚氯酸-丙二酸反应,这是一个在均匀溶液中振荡反应的例子,在非均匀环境中形成空间模式。这项工作导致了进一步的研究,如lengye - epstein反应-扩散模型,该模型描述了活化剂和抑制剂种类的化学浓度的动力学。本文通过李氏对称的透镜研究了一般的反应扩散系统,扩展了这些经典模型。我们利用李点对称发生器和李对称群对系统进行分析,使我们能够通过这些对称来简化方程。此外,我们使用乘子方法计算一般反应扩散模型的守恒定律,涉及因变量,自变量及其导数直至一定阶。通过应用各种对称群,我们从已知的解中推导出新的解,为生物系统中模式形成的动力学提供了更深入的见解。
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来源期刊
Journal of Mathematical Chemistry
Journal of Mathematical Chemistry 化学-化学综合
CiteScore
3.70
自引率
17.60%
发文量
105
审稿时长
6 months
期刊介绍: The Journal of Mathematical Chemistry (JOMC) publishes original, chemically important mathematical results which use non-routine mathematical methodologies often unfamiliar to the usual audience of mainstream experimental and theoretical chemistry journals. Furthermore JOMC publishes papers on novel applications of more familiar mathematical techniques and analyses of chemical problems which indicate the need for new mathematical approaches. Mathematical chemistry is a truly interdisciplinary subject, a field of rapidly growing importance. As chemistry becomes more and more amenable to mathematically rigorous study, it is likely that chemistry will also become an alert and demanding consumer of new mathematical results. The level of complexity of chemical problems is often very high, and modeling molecular behaviour and chemical reactions does require new mathematical approaches. Chemistry is witnessing an important shift in emphasis: simplistic models are no longer satisfactory, and more detailed mathematical understanding of complex chemical properties and phenomena are required. From theoretical chemistry and quantum chemistry to applied fields such as molecular modeling, drug design, molecular engineering, and the development of supramolecular structures, mathematical chemistry is an important discipline providing both explanations and predictions. JOMC has an important role in advancing chemistry to an era of detailed understanding of molecules and reactions.
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