Probability on graphs, winter term 2024/2025
Summary of lectures
- January 22: the interchange process [LP, Chapter 23.1], random transpositions, cycle structure of random permutations
- January 15: Cheeger's inequality [LP, Theorem 13.10] - proof of the lower bound, basic comparison of Markov chains in L^2 [LP, Lemma 13.18], method of canonical paths [LP, Chapter 13.4], the diameter bound [LP, Theorem 13.26]
- January 8: bounds using all eigenvalues [LP, Lemma 12.18], application to the hypercube [LP, Example 12.19], the product condition for cutoff [S, Lemma 5], bottleneck ratio [LP, Theorem 7.4], Cheeger's inequality [LP, Theorem 13.10] - proof of the upper bound
- December 18: spectral techniques [LP, Chapter 12.1], relaxation time and its relation to the mixing time [LP, Chapter 12.2], examples: random walk on the cycle [LP, 12.3.1] and the hypercube [LP, Example 12.16]
- December 11: random walk on the hypercube [LP, Example 5.3.2], distinguishing statistics [S, Chapter 2.1], strong stationary times [LP, Chapter 6.1, 6.3, 6.4, Examples 6.5.2 and 6.5.3]
- December 4: basics of Markov chain mixing times, total variation distance and its properties [LP, Chapter 4.1 and S, Chapter 1.2], coupling characterization of TV distance [LP, Chapter 4.2], distance from stationarity and mixing time [LP, Chapter 4.5], the cutoff phenomenon [S, Chapter 1.4 - just the definition], bounding total variation distance by coupling [LP, Chapter 5.2], example: random walk on the cycle [LP, Example 5.3.2]
- November 27: graph limits, Benjamini-Schramm convergence, convergence of random regular graphs to the d-regulat tree, the grandfather graph, unimodularity (a mix of [C2, Chapter 1 and 2], [P, Chapter 14] and [vdH2, Chapter 2])
- November 20: random regular graphs, the configuration model [JŁR, Chapter 9.1], asymptotic distribution of cycles and its consequences [JŁR, Chapter 9.2]
- November 13: variance estimate for the number of vertices in large components [vdH, Proposition 4.10], no components of intermediate size [vdH, Proposition 4.12], finishing up the proof of the existence of the giant component [vdH, Lemma 4.14], overview of the critical window [AS, Chapter 11.1]
- November 6: comparison of binomial and Poisson branching processes [vdH, Theorem 3.20], stochastic bounds on the largest component [vdH, Theorem 4.2, 4.3], size of the largest component in the subcritical regime [vdH, Theorem 4.4], proof strategy for the emergence of the giant component in the supercritical regime [vdH, Chapter 4.4], cluster tail and survival probability [vdH, Proposition 4.9]
- October 30: overview of the emergence of the giant component, introduction to branching processes [vdH, early part of Chapter 3.1], the random walk representation of branching processes [vdH, early part of Chapter 3.3], the hitting time theorem [vdH, Theorem 3.13 and 3.14]
- October 23: connectivity threshold for G(n,p) [vdH, Theorem 5.8]
- October 16: first and second moment method, threshold for containing triangles (roughly [Z, Chapter 4]), Poisson limit at the threshold in the general case [JŁR, Theorem 3.19], a sketch of the large deviation princinple
- October 9: introduction to G(n,p) and G(n,M) models, threshold functions [JŁR, Chapter 1], every monotone property has a threshold [JŁR, Theorem 1.24], equivalence of the two models [JŁR, Proposition 1.12 and 1.13]
Problem sets
Literature
Random graphs
- S. Janson, T. Łuczak, A. Ruciński "Random Graphs" [JŁR]
- a classical textbook on random graph theory
- A. Frieze, M. Karoński "Introduction to Random Graphs" (book in progress, link here) [FK]
- a new textbook on random graphs, has quite a lot of overlap with [JŁR], but covers more combinatorial topics
- N. Alon, J. Spencer "The Probabilistic Method" [AS]
- the definitive textbook on the probabilistic method in combinatorics
- Y. Zhao "Probabilistic Methods in Combinatorics" (lecture notes, link here)[Z]
- very nice lecture notes covering some material close to the topic of this course for which we won't have time
- R. van der Hofstad "Random Graphs and Complex Networks, vol. 1" [vdH]
- a modern book on random graphs and networks, highly recommended
- R. van der Hofstad "Random Graphs and Complex Networks, vol. 2" [vdH2]
- second volume of the above
- N. Curien "A random walk among random graphs" (lecture notes, link here) [C]
- constantly updated lecture notes, covering many topics not considered elsewhere (such as random permutations or spectral measures)
- N. Curien "Random graphs: the local convergence point of view" (lecture notes, link here) [C2]
- lecture notes devoted to the theory of local graph limits
- G. Pete "Probability on Graphs and Groups", (book in progress, link here) [P]
- a wonderful book (maybe one the best math books I've seen) covering mostly probability on infinite graphs; also relevant to the Markov chains part of the course
Markov chains and mixing times