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The Structure of Low Rank Matrices

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Problem: characterize N×N matrices with rank r and a constant fraction of zeros and find how large a zero rectangle must exist. Concrete conjecture: every such matrix has a zero rectangle of size ≳ N^2 / 2^{Θ(√r)}; an explicit product construction using all 0–1 vectors of Hamming weight ~√r shows that bound is tight. Motivations and implications include log-rank conjecture, matrix rigidity, and two-source extractors. Tools and partial results: discrepancy amplification, geometric/zero–one arguments over R give N^2 / 2^{O(√r·log n)}, and over F2 only weaker or conditional bounds (PFR-based) are known.

AI-written summary · about

  1. 0:00Low rank sparse matrices
  2. 1:12Communication complexity motivation
  3. 5:29Matrix rigidity and minor argument
  4. 15:00Ramsey graphs and extractors
  5. 28:50Zero rectangles conjecture
  6. 38:57Proof sketch for zero-one matrices
  7. 50:11Open questions
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