Dynamic bounds on stochastic chemical kinetic systems using semidefinite programming
Applying the method of moments to the chemical master equation appearing in stochastic chemical kinetics often leads to the so-called closure problem. Recently, several authors showed that this problem can be partially overcome using moment-based semidefinite programs (SDPs). In particular, they sho...
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| Veröffentlicht in: | The Journal of chemical physics 2018-08, Vol.149 (7), p.074103-074103 |
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| container_title | The Journal of chemical physics |
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| creator | Dowdy, Garrett R. Barton, Paul I. |
| description | Applying the method of moments to the chemical master equation appearing in stochastic chemical kinetics often leads to the so-called closure problem. Recently, several authors showed that this problem can be partially overcome using moment-based semidefinite programs (SDPs). In particular, they showed that moment-based SDPs can be used to calculate rigorous bounds on various descriptions of the stochastic chemical kinetic system’s stationary distribution(s)—for example, mean molecular counts, variances in these counts, and so on. In this paper, we show that these ideas can be extended to the corresponding dynamic problem, calculating time-varying bounds on the same descriptions. |
| doi_str_mv | 10.1063/1.5029926 |
| format | Article |
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| ispartof | The Journal of chemical physics, 2018-08, Vol.149 (7), p.074103-074103 |
| issn | 0021-9606 1089-7690 |
| language | eng |
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| source | AIP Journals Complete; Alma/SFX Local Collection |
| subjects | Descriptions Mathematical analysis Method of moments Organic chemistry Physics Reaction kinetics Semidefinite programming |
| title | Dynamic bounds on stochastic chemical kinetic systems using semidefinite programming |
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