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Recursively defined metric spaces without contraction

机译:递归定义的度量空间而无收缩

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In this paper we use the theory of accessible categories to find fixed points of endofunctors on the category of 1-bounded complete metric spaces and nonexpansive functions. In contrast to previous approaches, we do not assume that the endofunctors are locally contractive, and our results do not depend on Banach’s fixed-point theorem. Our approach is particularly suitable for constructing models of systems that feature quantitative data. For instance, using the Kantorovich metric on probability measures we construct a quantitative model for probabilistic transition systems. The metric in our model can reasonably be seen as measuring the behavioural distance between states of the system; it depends exclusively on the transition probabilities and not on an arbitrary discount factor.
机译:在本文中,我们使用可及类别的理论在1有界完整度量空间和非扩展函数的类别上找到内泛函的不动点。与以前的方法相比,我们不认为endofuncofs是局部收缩的,并且我们的结果不依赖于Banach的不动点定理。我们的方法特别适合于构建具有定量数据的系统模型。例如,使用概率测量的Kantorovich度量,我们为概率转移系统构建了一个定量模型。我们模型中的指标可以合理地视为衡量系统状态之间的行为距离;它完全取决于过渡概率,而不取决于任意折扣因子。

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