Pivotal condensation and chemical balancing

IF 1.7 3区 化学 Q3 CHEMISTRY, MULTIDISCIPLINARY
Hans-Christian Herbig
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Abstract

A universal method, called pivotal condensation, for calculating stoichiometric factors of chemical reactions is presented. It is based on our new approach for calculating the basis of the kernel of a matrix over the field of rational numbers. This approach is referred to as kernel pivotal condensation (ker pc) and is presented in detail. It has roughly the same complexity as Gaussian elimination, but can be performed without working with fractions. It is also shown how ker pc can be adapted as a tool to solve inhomogeneous linear systems, invert matrices (this is referred to as inv pc) and determine simultaneously the four subspaces (referred to as 4 pc). Besides, the balancing by inspection method, which is widely used in practice to reduce the size of a linear system arising in chemical balancing, is formulated in a mathematical language. When calculating stoichiometric factors of chemical balancing problems with a non-unique solution the natural question arises how to determine a basis that generates all the solutions over the integers. A method, referred to as smitheration, is introduced that permits to determine such an integer basis from a basis over the rational numbers. If there are few solutions this approach is more efficient than calculating a Smith normal form directly. It is convenient to work over principal ideal domains instead of the ring of integers, so that one can treat balancing problems that depend on one parameter as well.

枢轴凝结和化学平衡
本文介绍了一种计算化学反应化学计量系数的通用方法,称为 "枢轴凝聚法"。它基于我们计算有理数域上矩阵内核基础的新方法。这种方法被称为核枢纽凝聚法(ker pc),本文对其进行了详细介绍。它的复杂度与高斯消元法大致相同,但无需使用分数。文中还展示了如何将 ker pc 作为一种工具,用于求解不均匀线性系统、矩阵反转(称为 inv pc)以及同时确定四个子空间(称为 4 pc)。此外,在实践中被广泛用于减少化学平衡中出现的线性系统规模的检验平衡法,也是用数学语言表述的。在计算具有非唯一解的化学平衡问题的化学计量因子时,自然会产生一个问题,即如何确定一个能产生整数上所有解的基础。我们引入了一种称为 smitheration 的方法,它允许从有理数的基础上确定这样一个整数基础。如果解很少,这种方法比直接计算斯密正则表达式更有效。在主理想域上而不是整数环上进行运算是很方便的,这样也可以处理依赖于一个参数的平衡问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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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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