Download lean/OAI/MeasureTheory/Falconer/Graphs/GraphAmplitudeScale.lean from roseking/openAI-math-dataset: direct link, hf CLI and curl.
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https://huggingface.co/datasets/roseking/openAI-math-dataset/resolve/main/lean/OAI/MeasureTheory/Falconer/Graphs/GraphAmplitudeScale.lean
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curl -L -o GraphAmplitudeScale.lean https://huggingface.co/datasets/roseking/openAI-math-dataset/resolve/main/lean/OAI/MeasureTheory/Falconer/Graphs/GraphAmplitudeScale.lean
3.61 kB
| import OAI.MeasureTheory.Falconer.Graphs.GraphAmplitudeDerivatives | |
| import OAI.MeasureTheory.Falconer.Geometry.InactiveBinScales | |
| namespace OAI | |
| namespace PlanarFalconer | |
| noncomputable def graphNonedgeDerivativeScale (N : ℕ) (sig u : ℝ) : ℝ := | |
| (2:ℝ)^u * ((2:ℝ)^N)^(4*sig) | |
| theorem graphNonedgeDerivativeScale_one_le (N : ℕ) {sig u : ℝ} | |
| (hsig : 0 ≤ sig) (hu : 0 ≤ u) : 1 ≤ graphNonedgeDerivativeScale N sig u := by | |
| apply one_le_mul_of_one_le_of_one_le | |
| · exact Real.one_le_rpow (by norm_num) hu | |
| · exact Real.one_le_rpow (one_le_pow₀ (by norm_num)) (by positivity) | |
| theorem source_symbol_le_nonedge_scale (N L : ℕ) {sig u : ℝ} | |
| (hsig : 0 ≤ sig) (hu : 0 ≤ u) (hL : (L:ℝ) ≤ u+2*sig*(N:ℝ)) : | |
| sourceSymbolScale N sig L ≤ graphNonedgeDerivativeScale N sig u := by | |
| have hN : (0:ℝ) ≤ N := Nat.cast_nonneg _ | |
| unfold sourceSymbolScale graphNonedgeDerivativeScale | |
| rw [mul_max_of_nonneg _ _ (by positivity)] | |
| apply max_le | |
| · simp only [mul_one,dyadic_power_real,← Real.rpow_add (by norm_num : (0:ℝ)<2)] | |
| apply Real.rpow_le_rpow_of_exponent_le (by norm_num) | |
| nlinarith only [hu, mul_nonneg hsig hN] | |
| · rw [← Real.rpow_natCast (2:ℝ) L] | |
| simp only [dyadic_power_real,← Real.rpow_add (by norm_num : (0:ℝ)<2)] | |
| apply Real.rpow_le_rpow_of_exponent_le (by norm_num) | |
| nlinarith [mul_nonneg hsig hN] | |
| theorem graph_bin_le_nonedge_scale (N : ℕ) {sig t u c₀ : ℝ} | |
| (hsig : 0 ≤ sig) (hu : 0 ≤ u) (_hc : 0 < c₀) | |
| (ht : t ≤ u+2*sig*(N:ℝ)) : | |
| max 1 (graphAngularScale N sig t c₀)⁻¹ ≤ | |
| max 1 c₀⁻¹ * graphNonedgeDerivativeScale N sig u := by | |
| have hE := graphNonedgeDerivativeScale_one_le N hsig hu | |
| have hN : (0:ℝ) ≤ N := Nat.cast_nonneg _ | |
| have hunc : (graphUncappedAngularScale N sig t)⁻¹ ≤ graphNonedgeDerivativeScale N sig u := by | |
| simp only [graphUncappedAngularScale,graphNonedgeDerivativeScale,dyadic_power_real, | |
| ← Real.rpow_add (by norm_num : (0:ℝ)<2),← Real.rpow_neg_one, | |
| ← Real.rpow_mul (by norm_num : (0:ℝ)≤2)] | |
| apply Real.rpow_le_rpow_of_exponent_le (by norm_num) | |
| nlinarith [mul_nonneg hsig hN] | |
| have hM : 1 ≤ max 1 c₀⁻¹ := le_max_left _ _ | |
| have hEM : graphNonedgeDerivativeScale N sig u ≤ max 1 c₀⁻¹ * graphNonedgeDerivativeScale N sig u := | |
| le_mul_of_one_le_left (zero_le_one.trans hE) hM | |
| apply max_le (hE.trans hEM) | |
| unfold graphAngularScale | |
| by_cases hcap : c₀ ≤ graphUncappedAngularScale N sig t | |
| · rw [min_eq_left hcap] | |
| exact (le_max_right 1 c₀⁻¹).trans (le_mul_of_one_le_right (zero_le_one.trans hM) hE) | |
| · rw [min_eq_right (le_of_not_ge hcap)] | |
| exact hunc.trans hEM | |
| theorem graph_total_amplitude_scale (N L : ℕ) {sig t u c₀ : ℝ} | |
| (hsig : 0 ≤ sig) (hu : 0 ≤ u) (hc : 0 < c₀) | |
| (ht : t ≤ u+2*sig*(N:ℝ)) (hL : (L:ℝ) ≤ u+2*sig*(N:ℝ)) : | |
| 1+4*max 1 (graphAngularScale N sig t c₀)⁻¹+sourceSymbolScale N sig L ≤ | |
| (2+4*max 1 c₀⁻¹)*graphNonedgeDerivativeScale N sig u := by | |
| have hE := graphNonedgeDerivativeScale_one_le N hsig hu | |
| have hB := graph_bin_le_nonedge_scale N hsig hu hc ht | |
| have hD := source_symbol_le_nonedge_scale N L hsig hu hL | |
| nlinarith | |
| theorem graph_nonedge_scale_gain (N : ℕ) (sig v p : ℝ) : | |
| graphNonedgeDerivativeScale N sig (v-p) / | |
| ((2:ℝ)^v*((2:ℝ)^(-p)*((2:ℝ)^N)^(30*sig))) = ((2:ℝ)^N)^(-26*sig) := by | |
| simp only [graphNonedgeDerivativeScale,dyadic_power_real, | |
| ← Real.rpow_add (by norm_num : (0:ℝ)<2),← Real.rpow_sub (by norm_num : (0:ℝ)<2)] | |
| congr 1 | |
| ring | |
| end PlanarFalconer | |
| end OAI | |