openAI-math-dataset / lean /OAI /Probability /GammaPassage /CheapPathCounting.lean
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Add lean source and binary files (part 122)
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import OAI.Probability.GammaPassage.CheapPath
import Mathlib.Data.List.OfFn
import Mathlib.Data.Fintype.BigOperators
namespace OAI
namespace GammaFPP
open MeasureTheory ProbabilityTheory PlanarFPP Finset
open scoped ENNReal
/-- There are four possible nearest-neighbor steps on the square lattice. -/
local instance cheapStepFintype : Fintype Step where
elems := {Step.east, Step.west, Step.north, Step.south}
complete d := by cases d <;> simp
private lemma cheapStep_card : Fintype.card Step = 4 := by decide
/-- Includes every actual step list of length n, without a simplicity restriction. -/
noncomputable def fixedStepLists (n : ℕ) : Finset (List Step) :=
Finset.univ.image (fun f : Fin n → Step => List.ofFn f)
lemma mem_fixedStepLists (n : ℕ) (ds : List Step) :
ds ∈ fixedStepLists n ↔ ds.length = n := by
classical
constructor
· intro h
obtain ⟨f, _, rfl⟩ := Finset.mem_image.mp h
exact List.length_ofFn
· intro h
subst n
apply Finset.mem_image.mpr
exact ⟨ds.get, Finset.mem_univ _, List.ofFn_get ds⟩
lemma card_fixedStepLists_le (n : ℕ) : (fixedStepLists n).card ≤ 4 ^ n := by
classical
calc
(fixedStepLists n).card ≤ (Finset.univ : Finset (Fin n → Step)).card :=
Finset.card_image_le
_ = 4 ^ n := by rw [Finset.card_univ, Fintype.card_fun, cheapStep_card, Fintype.card_fin]
/-- The probability bound uses only the subfamily with distinct undirected edges. -/
noncomputable def fixedTrailLists (p : Vertex) (n : ℕ) : Finset (List Step) := by
classical
exact (fixedStepLists n).filter (fun ds => ((trace p ds).map traversalEdge).Nodup)
lemma mem_fixedTrailLists (p : Vertex) (n : ℕ) (ds : List Step) :
ds ∈ fixedTrailLists p n ↔
ds.length = n ∧ ((trace p ds).map traversalEdge).Nodup := by
classical
simp only [fixedTrailLists, Finset.mem_filter, mem_fixedStepLists]
lemma card_fixedTrailLists_le (p : Vertex) (n : ℕ) :
(fixedTrailLists p n).card ≤ 4 ^ n := by
classical
exact (Finset.card_filter_le _ _).trans (card_fixedStepLists_le n)
/-- Exact event equality; there is no hidden restriction to a selected optimizer. -/
lemma fixedTrail_event_eq {Ω : Type*} (τ : Edge → Ω → ℝ)
(p : Vertex) (n : ℕ) (t : ℝ) :
{ω | ∃ ds : List Step, ds.length = n ∧
((trace p ds).map traversalEdge).Nodup ∧ pathCost (fun e => τ e ω) p ds ≤ t} =
{ω | ∃ ds ∈ fixedTrailLists p n, pathCost (fun e => τ e ω) p ds ≤ t} := by
ext ω
simp only [Set.mem_ofPred_eq, mem_fixedTrailLists]
constructor
· rintro ⟨ds, hl, hn, hc⟩
exact ⟨ds, ⟨hl, hn⟩, hc⟩
· rintro ⟨ds, ⟨hl, hn⟩, hc⟩
exact ⟨ds, hl, hn, hc⟩
variable {Ω : Type*} [MeasurableSpace Ω] {P : Measure Ω}
variable {τ : Edge → Ω → ℝ} {shape rate : ℝ}
/-- All actual fixed-length trails, with a proved four-way exponential count. -/
theorem GammaEnvironment.cheap_fixed_length_probability
(h : GammaEnvironment shape rate P τ) (hs : 0 < shape) (hr : 0 < rate)
(s : ℝ) (hsp : 0 < s) (p : Vertex) (n : ℕ) (t : ℝ) :
P {ω | ∃ ds : List Step, ds.length = n ∧
((trace p ds).map traversalEdge).Nodup ∧ pathCost (fun e => τ e ω) p ds ≤ t} ≤
((4 ^ n : ℕ) : ℝ≥0∞) *
((ENNReal.ofReal ((rate / (rate + s)) ^ shape)) ^ n /
ENNReal.ofReal (Real.exp (-s * t))) := by
rw [fixedTrail_event_eq]
have hb := h.cheap_path_family_probability hs hr s hsp p (fixedTrailLists p n) n
(fun ds hds => ((mem_fixedTrailLists p n ds).mp hds).symm) t
refine hb.trans (mul_le_mul_left ?_ _)
exact_mod_cast card_fixedTrailLists_le p n
end GammaFPP
end OAI