openAI-math-dataset / lean /OAI /Analysis /IrrationalRotation /Rotation /CircleParameterBlocks.lean
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Add lean source and binary files (part 20)
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import OAI.Analysis.IrrationalRotation.Model.CircleParameters
import Mathlib.Algebra.BigOperators.Intervals
import Mathlib.Tactic
namespace OAI
namespace Invariant233.CircleParameterData
@[simp] theorem blockEnd_zero (p : CircleParameterData) : p.blockEnd 0 = 0 := by
simp [blockEnd]
theorem blockEnd_succ (p : CircleParameterData) (j : ℕ) :
p.blockEnd (j + 1) = p.blockEnd j + p.m (j + 1) := by
exact Finset.sum_Icc_succ_top (by omega) p.m
theorem card_block (p : CircleParameterData) (j : ℕ) (hj : 1 ≤ j) :
(p.block j).card = p.m j := by
have hd := p.blockEnd_succ (j - 1)
have he : j - 1 + 1 = j := by omega
rw [he] at hd
simp only [block, Nat.card_Icc]
omega
theorem mem_block_iff (p : CircleParameterData) (j i : ℕ) :
i ∈ p.block j ↔ p.blockEnd (j - 1) < i ∧ i ≤ p.blockEnd j := by
simp only [block, Finset.mem_Icc, Nat.add_one_le_iff]
theorem blockEnd_ge_index (p : CircleParameterData)
(hm : ∀ j, 1 ≤ j → 0 < p.m j) (j : ℕ) : j ≤ p.blockEnd j := by
induction j with
| zero => exact Nat.zero_le _
| succ j ih =>
rw [blockEnd_succ]
have h := hm (j + 1) (by omega)
omega
theorem blockEnd_strictMono (p : CircleParameterData)
(hm : ∀ j, 1 ≤ j → 0 < p.m j) : StrictMono p.blockEnd := by
apply strictMono_nat_of_lt_succ
intro j
rw [blockEnd_succ]
exact Nat.lt_add_of_pos_right (hm (j + 1) (by omega))
theorem exists_mem_block (p : CircleParameterData)
(hm : ∀ j, 1 ≤ j → 0 < p.m j) (i : ℕ) (hi : 1 ≤ i) :
∃ j, 1 ≤ j ∧ i ∈ p.block j := by
have hex : ∃ j, i ≤ p.blockEnd j := ⟨i, p.blockEnd_ge_index hm i⟩
let j := Nat.find hex
have hj : i ≤ p.blockEnd j := Nat.find_spec hex
have hjpos : 1 ≤ j := by
by_contra h
have he : j = 0 := by omega
rw [he, blockEnd_zero] at hj
omega
refine ⟨j, hjpos, (p.mem_block_iff j i).mpr ⟨?_, hj⟩⟩
have hprev : ¬ i ≤ p.blockEnd (j - 1) :=
Nat.find_min hex (show j - 1 < j by omega)
omega
theorem block_index_unique (p : CircleParameterData)
(hm : ∀ j, 1 ≤ j → 0 < p.m j) {j k i : ℕ}
(hij : i ∈ p.block j) (hik : i ∈ p.block k) : j = k := by
have hj := (p.mem_block_iff j i).mp hij
have hk := (p.mem_block_iff k i).mp hik
have hmono := (p.blockEnd_strictMono hm).monotone
apply le_antisymm
· by_contra h
have hjk : k ≤ j - 1 := by omega
have hd := hmono hjk
omega
· by_contra h
have hjk : j ≤ k - 1 := by omega
have hd := hmono hjk
omega
theorem blockIndex_eq_of_mem (p : CircleParameterData)
(hm : ∀ j, 1 ≤ j → 0 < p.m j) {j i : ℕ} (hi : i ∈ p.block j) :
p.blockIndex i = j := by
classical
have hij := (p.mem_block_iff j i).mp hi
have hex : ∃ k, i ≤ p.blockEnd k := ⟨j, hij.2⟩
rw [blockIndex, dite_eq_left hex]
apply le_antisymm
· exact Nat.find_min' hex hij.2
· by_contra h
have hle : Nat.find hex ≤ j - 1 := by omega
have hd := (p.blockEnd_strictMono hm).monotone hle
have hf := Nat.find_spec hex
omega
theorem blockIndex_pos (p : CircleParameterData)
(hm : ∀ j, 1 ≤ j → 0 < p.m j) {i : ℕ} (hi : 1 ≤ i) :
1 ≤ p.blockIndex i := by
obtain ⟨j, hj, hij⟩ := p.exists_mem_block hm i hi
rwa [p.blockIndex_eq_of_mem hm hij]
theorem flattenedCost_eq_of_mem (p : CircleParameterData)
(hm : ∀ j, 1 ≤ j → 0 < p.m j) {j n : ℕ} (hn : n + 1 ∈ p.block j) :
p.flattenedCost n = p.C j := by
simp only [flattenedCost, p.blockIndex_eq_of_mem hm hn]
end Invariant233.CircleParameterData
end OAI