Dimension-independent bounds for tuple averaging
Lax323828.TupleAveraging · concepts/Lax323828/TupleAveraging.lean · lax-323828
No public endorsements yet.
Loading review…
Sign in with ORCIDNatural 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
Evidence
Lean source view on GitHub
| 1 | import Lax323828.FiniteProbability |
| 2 | import Mathlib.Data.Fintype.Pi |
| 3 | |
| 4 | /-! |
| 5 | --- |
| 6 | title: Dimension-independent bounds for tuple averaging |
| 7 | type: theorem |
| 8 | --- |
| 9 | The average of t independent samples of a function in [-1,1] has variance |
| 10 | at most 1/t. Restricting to any event cannot increase its unnormalized |
| 11 | correlation with the centered sample average beyond 1/sqrt(t). |
| 12 | These bounds do not depend on the size of the sample alphabet. They provide |
| 13 | the averaging estimate for fortifying projection games by tuple questions. |
| 14 | -/ |
| 15 | |
| 16 | namespace Lax323828.TupleAveraging |
| 17 | |
| 18 | open scoped BigOperators |
| 19 | |
| 20 | axiom 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 | |
| 24 | axiom 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 | |
| 30 | end Lax323828.TupleAveraging |
| 31 |
Builds on
Used by
From Mathlib
Discussion
Ask a question or add context. Endorsements and structured flags are kept in the review panel above.
0 comments