OAI/Algebra/DepthFive/FirstOccupationMoment.lean
13 declarations, 0 contain sorry, 0 declared as axioms
- def
OAI.Problem335.occupationAverageline 12Source documentation
Uniform average over all weak compositions of
tin the coordinatesι.def occupationAverage {ι : Type*} [Fintype ι] [DecidableEq ι] (t : ℕ) (f : (ι →₀ ℕ) → ℝ) : ℝ := … - lemma
OAI.Problem335.occupationAverage_sumline 17 - lemma
OAI.Problem335.occupationAverage_nonnegline 24 - theorem
OAI.Problem335.occupationAverage_prodline 31Source documentation
The squarefree occupation product needed by differentiated path layers.
theorem occupationAverage_prod {ι : Type*} [Fintype ι] [DecidableEq ι] [Nonempty ι] (t : ℕ) (s : Finset ι) : occupationAverage t (fun M => ∏ i ∈ s, (M i : ℝ)) = (t.descFactorial s.card : ℝ) / ((Fintype.card ι).ascFactorial s.card : ℝ) := by …Mentions: OAI.Problem335.occupationAverage
- theorem
OAI.Problem335.occupationAverage_prod_add_oneline 39Source documentation
Multiplication layers supply successor occupations; expand them by subsets.
theorem occupationAverage_prod_add_one {ι : Type*} [Fintype ι] [DecidableEq ι] [Nonempty ι] (t : ℕ) (s : Finset ι) : occupationAverage t (fun M => ∏ i ∈ s, ((M i : ℝ) + 1)) = ∑ z ∈ s.powerset, (t.descFactorial z.card : ℝ) / ((Fintype.card ι).ascFactorial z.card : ℝ) := by …Mentions: OAI.Problem335.occupationAverage
- lemma
OAI.Problem335.occupation_powerset_sumline 48 - theorem
OAI.Problem335.occupationAverage_prod_add_one_lower_of_factorialline 53Source documentation
A uniform factorial-moment loss transfers to the successor product.
theorem occupationAverage_prod_add_one_lower_of_factorial {ι : Type*} [Fintype ι] [DecidableEq ι] [Nonempty ι] (t : ℕ) (s : Finset ι) (L : ℝ) (hL : ∀ H ≤ s.card, L * ((t : ℝ) / Fintype.card ι) ^ H ≤ (t.descFactorial H : ℝ) / ((Fintype.card ι).ascFactorial H : ℝ)) : L * (1 + (t : ℝ) / Fintype.card ι) ^ s.card ≤ occupationAverage t (fun M => ∏ i ∈ s, ((M i : ℝ) + 1)) := by …Mentions: OAI.Problem335.occupationAverage
- theorem
OAI.Problem335.occupationAverage_tensorline 68Source documentation
Independent composition averages factor without any probabilistic independence convention being implicit.
theorem occupationAverage_tensor {ι κ : Type*} [Fintype ι] [DecidableEq ι] [Fintype κ] [DecidableEq κ] (a b : ℕ) (f : (ι →₀ ℕ) → ℝ) (g : (κ →₀ ℕ) → ℝ) : (∑ M ∈ Finset.finsuppAntidiag (Finset.univ : Finset ι) a, ∑ N ∈ Finset.finsuppAntidiag (Finset.univ : Finset κ) b, f M * g N) / ((Finset.finsuppAntidiag (Finset.univ : Finset ι) a).card * (Finset.finsuppAntidiag (Finset.univ : Finset κ) b).card : ℝ) = occupationAverage a f * occupationAverage b g := by …Mentions: OAI.Problem335.occupationAverage
- theorem
OAI.Problem335.occupationAverage_prod_leline 79 - theorem
OAI.Problem335.occupationAverage_prod_lowerline 86 - theorem
OAI.Problem335.occupationAverage_prod_add_one_leline 94 - theorem
OAI.Problem335.occupationAverage_prod_add_one_lowerline 103 - theorem
OAI.Problem335.occupation_first_moment_lowerline 114Source documentation
The two-group first-trace occupation estimate, with its exact finite-size loss and no asymptotic or independence premises.
theorem occupation_first_moment_lower {V U : Type*} [Fintype V] [DecidableEq V] [Nonempty V] [Fintype U] [DecidableEq U] [Nonempty U] (a b : ℕ) (s : Finset V) (z : Finset U) (ha : 0 < a) (hb : 0 < b) (hs : 2 * s.card ≤ a) (hz : 2 * z.card ≤ b) : Real.exp ((-(s.card : ℝ) ^ 2 / a - (s.card : ℝ) ^ 2 / (2 * Fintype.card V)) + (-(z.card : ℝ) ^ 2 / b - (z.card : ℝ) ^ 2 / (2 * Fintype.card U))) * (((a : ℝ) / Fintype.card V) ^ s.card * (1 + (b : ℝ) / Fintype.card U) ^ z.card) ≤ (∑ M ∈ Finset.finsuppAntidiag (Finset.univ : Finset V) a, ∑ N ∈ Finset.finsuppAntidiag (Finset.univ : Finset U) b, (∏ i ∈ s, (M i : ℝ)) * (∏ j ∈ z, ((N j : ℝ) + 1))) / …