arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 0801.4152cond-mat.stat-mechcond-mat.soft
收藏

分子马达可解模型的涨落定理和大偏差函数

Fluctuation theorem and large deviation function for a solvable model of a molecular motor

D. Lacoste, A. W. C. Lau, K. Mallick

摘要:

研究了分子马达的离散随机模型。该离散模型可被视为\emph{minimal}棘轮模型。我们扩展了我们以前的工作在这个模型上,通过进一步调查的约束所施加的波动定理的操作远离平衡的分子马达。在这项工作中,我们展示了波动定理的不同表述之间的联系。一个公式涉及的电流的生成函数,而另一个涉及相应的大偏差函数,我们已经计算出这个模型。FT的第三个公式涉及向前一步的概率与向后一步的概率之比。适用于我们的模型的波动定理的最后公式的预测与Carter和Cross [Nature,{ \bf 435},308(2005)]关于驱动蛋白的单分子测量的数据非常一致。最后,我们表明,所有的配方FT可以理解的熵产生的概念。

英文摘要:

We study a discrete stochastic model of a molecular motor. This discrete model can be viewed as a \emph{minimal} ratchet model. We extend our previous work on this model, by further investigating the constraints imposed by the Fluctuation Theorem on the operation of a molecular motor far from equilibrium. In this work, we show the connections between different formulations of the Fluctuation Theorem. One formulation concerns the generating function of the currents while another one concerns the corresponding large deviation function, which we have calculated exactly for this model. A third formulation of FT concerns the ratio of the probability of making one forward step to the probability of making one backward step. The predictions of this last formulation of the Fluctuation Theorem adapted to our model are in very good agreement with the data of Carter and Cross [Nature, {\bf 435}, 308 (2005)] on single molecule measurements with kinesin. Finally, we show that all the formulations of FT can be understood from the notion of entropy production.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

↑