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Anti-Concentration for Polynomials of Independent Random Variables

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Gives an explicit anti‑concentration bound: for a degree‑d real polynomial whose rank = number of disjoint degree‑d monomials equals r, the mass on any single value (e.g. zero) is at most about Pr[p=0] = O~(r^{-1/(4d)}) (for constant d this matches roughly r^{-1/2}), with a lower‑bound obstruction of roughly e^{d}/√r. Proof translates the Boolean hypercube to Gaussians and uses the invariance principle. Applications include near‑optimal barriers for low‑degree polynomial approximation of parity and OR.

AI-written summary · about

  1. 0:00Introduction to polynomials
  2. 1:07Littlewood-Offord problem
  3. 3:17Defining rank and results
  4. 7:25Comparison with previous work
  5. 9:33Approximating parity
  6. 12:43Boolean function applications
  7. 16:26Techniques and conclusion
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