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Some Geometric Perspectives on Combinatorics: High-Dimensional, Local and Local-to-Global II

Talkat Big Data Boot Camp 2013 · 2013-09-03..09-06
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slides:none on file

Random d‑dimensional simplicial complexes are sampled by keeping the full (d−1)-skeleton and choosing each d‑face independently with probability p; studying the inclusion matrix over GF(2) gives concrete thresholds for homology and analogues of connectivity. For d=2 the vanishing of nontrivial left kernel (no odd intersections) appears at p ≈ 2 ln n / n, proved by choosing a canonical coset representative that is a graph minority in every cut. Collapsibility has a different threshold ~αd/n, and experiments reveal a striking sharp rank‑drop where new faces suddenly create dependencies.

AI-written summary · about

  1. 0:00High-dimensional combinatorics intro
  2. 1:00Simplicial complexes as objects
  3. 6:25Studying simplicial complexes
  4. 8:12Combinatorics impact on fields
  5. 10:46Random complexes and thresholds
  6. 13:15Erdős–Rényi model recap
  7. 19:00Connectivity in complexes
  8. 22:54Linear algebra for connectivity
  9. 30:10Homology trivial solutions
  10. 35:26Vanishing first homology threshold
  11. 40:30Homology solutions via graphs
  12. 46:46Key lemma in proof
  13. 50:24Phase transition at p=1/n
  14. 55:13Cycles and higher analogs
  15. 1:01:11Collapsibility in higher dims
  16. 1:03:05Collapsibility thresholds
  17. 1:07:53Rank jumps observations
  18. 1:13:311D vs 2D cycle differences
  19. 1:14:41Hypertrees properties
  20. 1:17:09Almost trees in higher dims
  21. 1:19:05Algebraic structures higher dims
  22. 1:21:35Expander graphs higher dims
  23. 1:23:02Algorithmic implications
  24. 1:24:26Asymptotic phenomena
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