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The row-corank bound for a uniform binary matrix

Lax342547.CorankCounting · concepts/Lax342547/CorankCounting.lean · lax-342547

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    Natural Language Statement

    Theorem

    A matrix with row corank at least s admits s independent row relations. Count the relation matrix first, then require every column to lie in its kernel. This gives the sharper 2^(ms-sn) probability bound used for the bounded row lists in Lemma 5.5, written as a ratio of nonnegative powers.

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    Evidence

    This concept declares 3 statements. Each proof establishes one of them relative to its assumptions.

    Lean source view on GitHub

    1import Lax342547.LowRankCounting
    2
    3/-!
    4---
    5title: The row-corank bound for a uniform binary matrix
    6type: theorem
    7---
    8A matrix with row corank at least s admits s independent row relations.
    9Count the relation matrix first, then require every column to lie in its
    10kernel. This gives the sharper 2^(ms-sn) probability bound used for the
    11bounded row lists in Lemma 5.5, written as a ratio of nonnegative powers.
    12-/
    13
    14namespace Lax342547.CorankCounting
    15
    16axiom exists_row_relations {K I J : Type} [Field K] [Fintype I] [Fintype J]
    17 (M : Matrix I J K) (s : ℕ) (hs : M.rank + s ≤ Fintype.card I) :
    18 ∃ C : Matrix (Fin s) I K, Function.Surjective C.mulVec ∧ C * M = 0
    19
    20open Lax342547.MomentSpace
    21open scoped ENNReal
    22
    23axiom card_corank {I J : Type} [Fintype I] [Fintype J] (s : ℕ) :
    24 Nat.card {M : Matrix I J Binary // M.rank + s ≤ Fintype.card I} ≤
    25 2 ^ (s * Fintype.card I + (Fintype.card I - s) * Fintype.card J)
    26
    27axiom uniform_corank_bound {I J : Type} [Fintype I] [Fintype J] [DecidableEq I] [DecidableEq J]
    28 (s : ℕ) :
    29 (PMF.uniformOfFintype (Matrix I J Binary)).toOuterMeasure {M | M.rank + s ≤ Fintype.card I} ≤
    30 (2 : ℝ≥0∞) ^ (s * Fintype.card I) / 2 ^ (s * Fintype.card J)
    31
    32end Lax342547.CorankCounting
    33
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