s-有限转移核与概率相干空间中的线性指数共幺半群
A Linear Exponential Comonad in s-finite Transition Kernels and Probabilistic Coherent Spaces
AI总结:
本文利用测度论中的线性指数共幺半群与测度-可测函数连续正交性,在s-有限转移核对称幺半范畴上构造线性指数共幺半群,通过双粘合实现概率相干空间的随机构造,并在可数可测空间下得到匕首紧闭范畴。
摘要:
本文研究概率相干空间的随机构造,采用了两类新要素:(i)测度论中自然产生的线性指数共幺半群;(ii)测度与可测函数之间的连续正交性。我们在转移核的对称幺半范畴上构造了一个线性指数共幺半群,将Panangaden随机关系中的马尔可夫核放宽为s-有限核。该模型支持基于测度与可测函数之间积分的正交性,可视为Girard-Danos-Ehrhard的概率相干空间线性对偶的连续扩展。该正交性通过Hyland-Schalk双粘合构造表述,我们的测度论幺半共幺半群结构可适配其中。作为在可数可测空间上的应用,本文得到了一个匕首紧闭范畴,其双粘合构造产生了我们熟知的概率相干空间范畴。
英文摘要:
This paper concerns a stochastic construction of probabilistic coherent spaces by employing novel ingredients (i) linear exponential comonads arising properly in the measure-theory (ii) continuous orthogonality between measures and measurable functions. A linear exponential comonad is constructed over a symmetric monoidal category of transition kernels, relaxing Markov kernels of Panangaden's stochastic relations into s-finite kernels. The model supports an orthogonality in terms of an integral between measures and measurable functions, which can be seen as a continuous extension of Girard-Danos-Ehrhard's linear duality for probabilistic coherent spaces. The orthogonality is formulated by a Hyland-Schalk double glueing construction, into which our measure theoretic monoidal comonad structure is accommodated. As an application to countable measurable spaces, a dagger compact closed category is obtained, whose double glueing gives rise to the familiar category of probabilistic coherent spaces.
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