Continuous-time stochastic processes often carry the condition of having
almost-surely continuous paths. If some process
In this work, we mechanise the Kolmogorov-Chentsov theorem. To get there, we develop a theory of stochastic processes, together with Hölder continuity, convergence in measure, and arbitrary intervals of dyadic rationals.
With this, we pave the way towards a construction of Brownian motion. The work is based on the exposition in Achim Klenke's probability theory text
The theory presented in this repository is available from the AFP. Here we catalogue minor changes to be pushed in the next Isabelle release.
In order to inspect and edit this work, download (Isabelle)[https://isabelle.in.tum.de], and run Isabelle/jEdit with the HOL-Probability heap image loaded:
isabelle jedit -l HOL-Probability
The main theorem is under Kolmogorov_Chentsov.thy. We define general helper theorems under Kolmogorov_Chentsov_Extras.thy, and develop theories of stochastic processes, convergence in measure, holder continuity, and dyadic rationals in the correspondingly named files.