Upcrossing Inequalities, Ergodic Theorem and Barmpalias-Lewis-Pye - Part 2
Kolmogorov-Seminar via YouTube
PowerBI Data Analyst - Create visualizations and dashboards from scratch
Learn Generative AI, Prompt Engineering, and LLMs for Free
Overview
AI, Data Science & Cloud Certificates from Google, IBM & Meta — 40% Off
One plan covers every Professional Certificate on Coursera. 40% off Coursera Plus Annual.
Unlock All Certificates
Explore advanced mathematical concepts in computational complexity through this seminar talk that demonstrates the interconnections between crossing inequalities, ergodic theory, and recent results in algorithmic randomness. Discover why the Andreev antislalom statement implies the Bishop crossing inequality and follow Bishop's argument showing how the Birkhoff ergodic theorem emerges from this foundation. Learn how the same crossing inequality techniques can be applied to prove significant results by Barmpalias and Lewis-Pye regarding lower semicomputable reals, specifically that when A and B are lower semicomputable reals with increasing computable sequences of rational approximations, and A is Martin-Löf random, the ratio (B-b_n)/(A-a_n) converges to a limit. Gain insight into the elegant mathematical connections between seemingly disparate areas of complexity theory and ergodic theory through rigorous proofs and theoretical analysis presented as part of the renowned Kolmogorov seminar series on computational and descriptional complexity.
Syllabus
(Up)crossing inequalities, ergodic theorem and Barmpalias--Lewis-Pye (talk by A.Shen, part 2)
Taught by
Kolmogorov-Seminar