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Relative injection loss for polynomial accepting mass

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

proven

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    Natural Language Statement

    Lemma

    Dyadic exceptions with the actual floor exponent vanish against every fixed polynomial, and finite test unions retain arbitrary relative error.

    Concept map
    63 concepts; 5 descendants hidden
    100%
    Actual projected span deficitSampling after exposed coordinatesAdaptive sampling on disjoint coordinatesetsUnion over adaptive component coversExact uniform bilinear character meanWalsh operator bounds with explicit bilinearrankRank of a lifted tensor sumIndependent binary channel charactersActual channel moments and phase tailsCombined column and row mode exposureRows of diagonal tensor mapsMoment estimates for actual componenttensor phasesComponentwise mode spaces and diagonaltensorsExact conditioning costs and recovery offinite probability massesEntropy progress for residual pair lawsIndependence of distinct sample positionsJoin-stable classes of mode coversCount tensors killed by exposureActual exposure cover projectionRank of a diagonal familyDyadic span deficit estimatesA small dyadic tail scaleActual dyadic deficit recurrenceEntropy along feasible mixture lines,including new supportFull feasible support and finite informationprojectionProjection removes the exposed termsCount tested index occurrencesFinite even moment expansionFinite independent sampling and vertexexception tailsGreedy mode space exposureSmall actual greedy exposure tailsNo-cover rank growth on arbitrary finiteindicesRelative injection loss for polynomialaccepting massEarly channel choice and injection exponentbudgetsActual deficits indexed by a distinct listFinite list tail statisticsDimension deficits after an arbitrary modemapExposed mode dimension budgetExplicit no-cover moment parameter marginsBoolean point moments with restricted basecoordinatesFinite moment probability and rank splitA low rank sum supplies an actual adaptivecoverNo-cover phase momentsRank growth without an adaptive modecoverSquared restriction cost for independent uniteventsFinite exposure partitionsProjected nonzero terms in the actualremaining sumDimensions of projected mode spacesWalsh bounds for independent image lawsand separated phasesRank of a tensor killed in two quotientspacesRank loss under two restrictionsOriginal retained-cell laws from finite PMFsFinite relative entropy and support costsRank loss under restriction of a bilinear formImage caps inside original retained cellsOne exposure controls both modesMonotonicity of span deficitsMode space span deficitsNonzero tensor count from span deficitsRank of an actual linear map sumCharacters of all independent tensor channelsAdmissible pair lawsOrthogonality and finite Walsh correlationbounds
    Proven claimDefinitionThis conceptRelated conceptA → B: B builds on A
    Evidence

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

    1 eventually_relative_exception proven

    2 polynomial_dyadic_floor_tends_zero proven

    3 relative_union_budget proven

    Lean source view on GitHub

    1import Lax342547.InjectionBudgets
    2import Mathlib.Analysis.SpecificLimits.Normed
    3
    4/-!
    5---
    6title: Relative injection loss for polynomial accepting mass
    7type: lemma
    8---
    9Dyadic exceptions with the actual floor exponent vanish against every fixed polynomial, and finite test unions retain arbitrary relative error.
    10-/
    11
    12namespace Lax342547.InjectionAsymptotics
    13
    14open Filter
    15
    16axiom polynomial_dyadic_floor_tends_zero (c d : ℕ) (hd : 0 < d) :
    17 Tendsto (fun N : ℕ => (N : ℝ)^c/(2 : ℝ)^(N/d)) atTop (nhds 0)
    18
    19axiom eventually_relative_exception (c d : ℕ) (hd : 0 < d) (J ε : ℝ)
    20 (hJ : 0 ≤ J) (hε : 0 < ε) :
    21 ∀ᶠ N : ℕ in atTop,J*(1/(2 : ℝ)^(N/d)+1/(2 : ℝ)^N) ≤ ε/(N : ℝ)^c
    22
    23axiom relative_union_budget (J : ℕ) (ε a τ bad : ℝ) (hJ : 0 < J) (hε : 0 ≤ ε)
    24 (ha : 0 ≤ a) (hbad : bad ≤ J*((ε/(2*J))*a+τ)) (htail : J*τ ≤ (ε/2)*a) :
    25 bad ≤ ε*a
    26
    27end Lax342547.InjectionAsymptotics
    28
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