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A Complete Linear Programming Hierarchy for Linear Codes

Talkat ITCS 2022 · 2022-01-31..02-03
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Constructs a family of polynomial-size linear programs (after factoring translation and permutation symmetries) that encode L‑point interactions via configuration profile variables and higher-order Krawtchouk polynomials, proving the hierarchy is complete for linear codes: at roughly level poly(n,1/ε) (sketched as about n^2 times precision factors) the Lth-root of the LP optimum is within 1+ε of the true maximum code size, and exact completeness holds by level n. The non‑linear version collapses and gives no improvement.

AI-written summary · about

  1. 0:00Introduction
  2. 5:14LP Bound
  3. 13:58Disadvantages
  4. 14:23Defining the hierarchy
  5. 16:48The hierarchy
  6. 21:38Proof
  7. 23:38Properties
  8. 25:38Main Results
  9. 27:28Sketch
  10. 32:58Future Work
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