arXivDaily arXiv每日学术速递 周一至周五更新
arXiv周末暂无论文更新,休息一下吧,周末愉快~~
arXiv 1503.06022cs.LOq-bio.MN
收藏

热力学图重写

Thermodynamic graph-rewriting

Vincent Danos, Russell Harmer, Ricardo Honorato-Zimmer

摘要:

我们开发了一种新的热力学方法来随机图重写。成分是一组有限的可逆图重写规则称为生成规则,一组有限的连接图P称为能量模式和能量成本函数。其思想是,生成器通过显示哪些变换是可能的来定义定性动态,而能量模式和成本函数指定任何可达图的长期概率$π$。给定生成器和能量模式,我们构造了一组有限的规则,其中(i)具有与生成器相同的定性转移系统;以及(ii)当配备适当的速率时,定义了一个连续时间马尔可夫链,其中$π$是唯一的不动点。建设依赖于使用的网站图和技术的“增长政策”的量化规则的完善,这是独立的利益。动态的定性和长期定量方面之间的这种分工导致对现实模型的直观和简洁的描述(参见S4和S5中的示例)。它还保证了物理一致性(也称为详细平衡),否则已知是不可判定的,这对某些应用程序很重要。最后,它导致模型的参数化,这在某些应用中也是一个重要的问题。

英文摘要:

We develop a new thermodynamic approach to stochastic graph-rewriting. The ingredients are a finite set of reversible graph-rewriting rules called generating rules, a finite set of connected graphs P called energy patterns and an energy cost function. The idea is that the generators define the qualitative dynamics, by showing which transformations are possible, while the energy patterns and cost function specify the long-term probability $π$ of any reachable graph. Given the generators and energy patterns, we construct a finite set of rules which (i) has the same qualitative transition system as the generators; and (ii) when equipped with suitable rates, defines a continuous-time Markov chain of which $π$ is the unique fixed point. The construction relies on the use of site graphs and a technique of `growth policy' for quantitative rule refinement which is of independent interest. This division of labour between the qualitative and long-term quantitative aspects of the dynamics leads to intuitive and concise descriptions for realistic models (see the examples in S4 and S5). It also guarantees thermodynamical consistency (AKA detailed balance), otherwise known to be undecidable, which is important for some applications. Finally, it leads to parsimonious parameterizations of models, again an important point in some applications.

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。

↑