![]() |
University of Cambridge > Talks.cam > Formalisation of mathematics with interactive theorem provers > Combining Two Representations of Matrices for a Formalization of the Perron-Frobenius Theorem
Combining Two Representations of Matrices for a Formalization of the Perron-Frobenius TheoremAdd to your list(s) Download to your calendar using vCal
If you have a question about this talk, please contact Angeliki Koutsoukou-Argyraki. Matrix interpretations are useful for automated complexity analysis of term rewrite systems. For checking the correct application of these interpretations in automatically generated proofs, one needs a verified algorithm to determine the asymptotic growth rate of A^n for a given non-negative real matrix A. Since the direct approach to compute the growth rate of A via algebraic numbers is quite slow, in our certifier CeTA we utilize a simple algorithm that does not require algebraic numbers. Despite the simplicity of the algorithm, its verification in Isabelle/HOL is technically interesting. For proving soundness of the algorithm, we need to formalize the Perron-Frobenius theorem. And to achieve the latter task, we establish a connection between two different Isabelle/HOL libraries on matrices, that facilitates an easy exchange of theorems between both libraries. === Hybrid talk === Join Zoom Meeting https://cam-ac-uk.zoom.us/j/89856091954?pwd=Bba77QB2KuTideTlH6PjAmbXLO8HbY.1 Meeting ID: 898 5609 1954 Passcode: ITPtalk This talk is part of the Formalisation of mathematics with interactive theorem provers series. This talk is included in these lists:
Note that ex-directory lists are not shown. |
Other listsaa494@cam.ac.uk Cambridge University First Aid Society AI @ CL EventsOther talksSensing light direction in flowering plants "Assisted Memories: Have Your Cake and Eat It" - The Baxandall Lecture by Professor Amos Lapidoth External Seminar - Magdalena Bezanilla TBC Adaptive Partitioning and Learning for Stochastic Control of Diffusion Processes What’s the story? Numbers and Narratives The Past and Future of Natural History |