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Dimension-independent bounds for tuple averaging

Lax253009.TupleAveraging · concepts/Lax253009/TupleAveraging.lean · lax-253009

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    Natural Language Statement

    Theorem

    The average of t independent samples of a function in [-1,1] has variance at most 1/t. Restricting to any event cannot increase its unnormalized correlation with the centered sample average beyond 1/sqrt(t). These bounds do not depend on the size of the sample alphabet. They provide the averaging estimate for fortifying projection games by tuple questions.

    Concept map
    2 concepts; 1 descendant hidden
    100%
    Proven claimThis conceptRelated conceptA → B: B builds on A
    Evidence

    This concept declares 2 statements. Each proof establishes one of them relative to its assumptions.

    Lean source view on GitHub

    1import Lax253009.FiniteProbability
    2import Mathlib.Data.Fintype.Pi
    3
    4/-!
    5---
    6title: Dimension-independent bounds for tuple averaging
    7type: theorem
    8---
    9The average of t independent samples of a function in [-1,1] has variance
    10at most 1/t. Restricting to any event cannot increase its unnormalized
    11correlation with the centered sample average beyond 1/sqrt(t).
    12These bounds do not depend on the size of the sample alphabet. They provide
    13the averaging estimate for fortifying projection games by tuple questions.
    14-/
    15
    16namespace Lax253009.TupleAveraging
    17
    18open scoped BigOperators
    19
    20axiom variance_bound {A : Type} [Fintype A] [Nonempty A]
    21 (t : ℕ) (ht : 0 < t) (f : A → ℝ) (hf : ∀ a, |f a| ≤ 1) :
    22 (𝔼 z : Fin t → A, ((𝔼 i, f (z i)) - (𝔼 a, f a)) ^ 2) ≤ 1 / (t : ℝ)
    23
    24axiom restriction_correlation {A : Type} [Fintype A] [Nonempty A]
    25 (t : ℕ) (ht : 0 < t) (f : A → ℝ) (hf : ∀ a, |f a| ≤ 1)
    26 (S : (Fin t → A) → Prop) [DecidablePred S] :
    27 |𝔼 z : Fin t → A, if S z then (𝔼 i, f (z i)) - (𝔼 a, f a) else 0| ^ 2 ≤
    28 1 / (t : ℝ)
    29
    30end Lax253009.TupleAveraging
    31
    Show ProofShow Proof

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