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Atlas.ProbabilisticMethodsInCombinatorics.code.Chapter10.ShearerEntropy

noncomputable def ShearerEntropy.marginal {n : } {Ω : Type u_1} [Fintype Ω] [DecidableEq Ω] (p : PMF (Fin nΩ)) (A : Finset (Fin n)) :
PMF (AΩ)

The marginal distribution of a joint PMF $p$ on Fin n → Ω restricted to coordinates in $A \subseteq \{1,\dots,n\}$.

Instances For
    def ShearerEntropy.CoveringCondition {n s : } (A : Fin sFinset (Fin n)) (k : ) :

    The covering condition for Shearer's lemma: a family $\{A_j\}_{j=1}^s$ is a $k$-cover of $\{1,\dots,n\}$ if every index appears in at least $k$ of the sets $A_j$.

    Instances For
      theorem ShearerEntropy.marginal_comp {n : } {Ω : Type u_1} [Fintype Ω] [DecidableEq Ω] (p : PMF (Fin nΩ)) (A B : Finset (Fin n)) (hBA : B A) :
      marginal p B = PMF.map (fun (f : AΩ) (i : B) => f i, ) (marginal p A)

      Marginal composition: when $B \subseteq A$, marginalizing $p$ onto $B$ equals marginalizing $p$ onto $A$ first and then restricting further to $B$.

      The Shannon entropy is non-increasing under deterministic maps: $H(f(X)) \le H(X)$.

      Monotonicity of marginal entropy: $H(p|_B) \le H(p|_A)$ whenever $B \subseteq A$.