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Complexity in the Role of Noise in Stochastic Systems

机译:随机系统中噪声作用的复杂性

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The role of noise in stochastic system could be constructive or destructive depending on the topology of the biochemical network, interaction mechanism and strength of the noise. The noise in genetic and chemical oscillators is studied using chemical Langevin equation and numerically using stochastic simulation algorithm to study the role of noise. The temporal behaviors of the variables in genetic oscillator are found to maintain their oscillatory nature at small system size limit (V ≤ 13 ± 3), but above this the oscillatory behaviors get start destroying by getting transition from fluctuated limit cycle to no oscillation limit as V → ∞. However, in chemical oscillator case, in the limit V → ∞ the oscillatory behaviors of the variables get transition from fluctuated limit cycle (tending destroy oscillatory behavior) to normal limit cycle (maintain sustain oscillations). The noise parameter calculated as a function of V for genetic oscillator first slowly decrease and increases as V increases. However the noise parameter in chemical oscillator decreases first (V ≤ 50 ± 5) and then remains constant as V increases. The calculated noise parameter via stochastic simulation algorithm is always found to be larger than that is obtained via chemical Langevin equation.
机译:噪声在随机系统中的作用可能是建设性的,也可能是破坏性的,具体取决于生化网络的拓扑结构,相互作用机制和噪声的强度。使用化学朗格文方程研究遗传和化学振荡器中的噪声,并使用随机模拟算法以数值方式研究噪声的作用。发现遗传振荡器中变量的时间行为在较小的系统大小极限(V≤13±3)时保持其振荡特性,但在此之上,振荡行为通过从波动的极限周期过渡到无振荡极限而开始破坏。 V→∞。但是,在化学振荡器情况下,在极限V→∞时,变量的振荡行为会从波动的极限周期(趋向于破坏振荡行为)过渡到正常的极限周期(保持维持振荡)。首先为遗传振荡器计算作为V的函数的噪声参数,然后缓慢降低并随V的增加而增加。但是,化学振荡器中的噪声参数会先降低(V≤50±5),然后随着V的增加而保持恒定。总是发现通过随机仿真算法计算出的噪声参数要大于通过化学朗文方程得到的噪声参数。

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