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| Format: | Preprint |
| Veröffentlicht: |
2019
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| Online-Zugang: | https://arxiv.org/abs/1903.06375 |
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| _version_ | 1866913394785779712 |
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| author | Park, Seong Jun |
| author_facet | Park, Seong Jun |
| contents | In many chemical reactions, reaction rate fluctuation is inevitable. Reaction rates are different whenever chemical reaction occurs due to their dependence on the number of reaction events or the product number. As such, understanding the impact of rate fluctuation on product number counting statistics is of the utmost importance when developing a quantitative explanation of chemical reactions. In this work, we present a master equation that describes reaction rates as a function of product number and time. Our equal reveals the relationship between the reaction rate and product number fluctuation. Product number counting statistics uncovers a stochastic property of the product number; product number directly manipulates the reaction rate. Specifically, we find that product number shows super-Poisson characteristics when the product number increases, inducing an increase in the reaction rate. While, on the other hand, when the product number shows sub-Poisson characteristics with an increase in the product number, this is induced by a decrease in the reaction rate. Furthermore, our analysis exploits reaction rate fluctuation, enabling the quantification of the deviation of an elementary reaction process from a renewal process. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_1903_06375 |
| institution | arXiv |
| publishDate | 2019 |
| record_format | arxiv |
| spellingShingle | Exploiting product molecule number to consider reaction rate fluctuation in elementary reactions Park, Seong Jun Molecular Networks In many chemical reactions, reaction rate fluctuation is inevitable. Reaction rates are different whenever chemical reaction occurs due to their dependence on the number of reaction events or the product number. As such, understanding the impact of rate fluctuation on product number counting statistics is of the utmost importance when developing a quantitative explanation of chemical reactions. In this work, we present a master equation that describes reaction rates as a function of product number and time. Our equal reveals the relationship between the reaction rate and product number fluctuation. Product number counting statistics uncovers a stochastic property of the product number; product number directly manipulates the reaction rate. Specifically, we find that product number shows super-Poisson characteristics when the product number increases, inducing an increase in the reaction rate. While, on the other hand, when the product number shows sub-Poisson characteristics with an increase in the product number, this is induced by a decrease in the reaction rate. Furthermore, our analysis exploits reaction rate fluctuation, enabling the quantification of the deviation of an elementary reaction process from a renewal process. |
| title | Exploiting product molecule number to consider reaction rate fluctuation in elementary reactions |
| topic | Molecular Networks |
| url | https://arxiv.org/abs/1903.06375 |