OAI/NumberTheory/JointDickman/Amplification/LargeMultiplicityExponent.lean
4 declarations, 0 contain sorry, 0 declared as axioms
The combined entropy exponent in large representation classes
- def
OAI.JointDickman.largeMultiplicityBaseline 11 - def
OAI.JointDickman.largeMultiplicityLossline 13 - theorem
OAI.JointDickman.largeMultiplicityBase_boundsline 16 - theorem
OAI.JointDickman.large_multiplicity_exponent_boundline 23Source documentation
One old-coefficient choice at each endpoint and the opposite remainder's addition choices account for all three combinatorial entropy factors.
theorem large_multiplicity_exponent_bound {g Δ δ τ ε ℓ : ℝ} {d f : ℕ} (hg : 0 ≤ g) (hg1 : g ≤ 1) (hδ : 0 ≤ δ) : largeAvailabilityExponent g Δ δ τ ε ℓ d+ ((g/2)*Real.binEntropy (2*min ((d : ℝ)/(g*ℓ)) (1/2))+ε+highOmissionExponent τ)+ ((g/2)*Real.binEntropy (2*min ((f : ℝ)/(g*ℓ)) (1/2))+ε+highOmissionExponent τ)+ ((g/2)*Real.binEntropy (2*min ((f : ℝ)/(g*ℓ)) (1/2))+ε) ≤ largeMultiplicityBase+largeMultiplicityLoss Δ δ τ ε := by …Mentions: OAI.JointDickman.largeAvailabilityExponent, OAI.JointDickman.highOmissionExponent, OAI.JointDickman.largeMultiplicityBase, OAI.JointDickman.largeMultiplicityLoss