Download lean/OAI/Probability/SKGap/Localization/DimensionDecayPos.lean from roseking/openAI-math-dataset: direct link, hf CLI and curl.
- Browser
- Download file 9.26 kB
-
https://huggingface.co/datasets/roseking/openAI-math-dataset/resolve/main/lean/OAI/Probability/SKGap/Localization/DimensionDecayPos.lean
- Command line
-
hf download hf://datasets/roseking/openAI-math-dataset/lean/OAI/Probability/SKGap/Localization/DimensionDecayPos.lean
-
curl -L -o DimensionDecayPos.lean https://huggingface.co/datasets/roseking/openAI-math-dataset/resolve/main/lean/OAI/Probability/SKGap/Localization/DimensionDecayPos.lean
9.26 kB
| import Mathlib | |
| import OAI.Probability.SKGap.Localization.DimensionDecay | |
| namespace OAI | |
| section | |
| open scoped BigOperators | |
| open scoped BigOperators | |
| open scoped BigOperators | |
| open scoped BigOperators | |
| open scoped BigOperators | |
| open scoped BigOperators NNReal | |
| open MeasureTheory ProbabilityTheory | |
| open MeasureTheory ProbabilityTheory Filter | |
| open scoped BigOperators NNReal | |
| open MeasureTheory ProbabilityTheory | |
| open scoped BigOperators NNReal ENNReal | |
| open MeasureTheory ProbabilityTheory Filter | |
| open scoped BigOperators NNReal ENNReal | |
| open MeasureTheory ProbabilityTheory | |
| open scoped BigOperators Matrix Matrix.Norms.Elementwise | |
| open scoped BigOperators | |
| open MeasureTheory ProbabilityTheory | |
| open scoped BigOperators Matrix Matrix.Norms.Elementwise | |
| open scoped BigOperators | |
| open scoped BigOperators NNReal ENNReal | |
| open MeasureTheory Metric Set | |
| open scoped BigOperators NNReal ENNReal | |
| open MeasureTheory ProbabilityTheory Filter Set | |
| open scoped BigOperators NNReal ENNReal Matrix.Norms.L2Operator | |
| open MeasureTheory ProbabilityTheory Filter Set | |
| open scoped BigOperators Matrix.Norms.L2Operator | |
| open MeasureTheory ProbabilityTheory Filter Set | |
| open scoped BigOperators Matrix Matrix.Norms.Elementwise | |
| open MeasureTheory ProbabilityTheory Filter Set | |
| open MeasureTheory ProbabilityTheory Filter | |
| open scoped BigOperators ENNReal NNReal | |
| open MeasureTheory ProbabilityTheory Filter | |
| open scoped BigOperators NNReal ENNReal Matrix | |
| open MeasureTheory ProbabilityTheory Filter | |
| open scoped BigOperators ENNReal NNReal | |
| open MeasureTheory ProbabilityTheory Filter | |
| open scoped BigOperators NNReal ENNReal | |
| open scoped BigOperators | |
| open MeasureTheory ProbabilityTheory | |
| open scoped BigOperators Matrix Matrix.Norms.Elementwise NNReal ENNReal | |
| open scoped BigOperators | |
| open Filter Topology | |
| open MeasureTheory ProbabilityTheory Filter | |
| open scoped NNReal ENNReal BigOperators Topology | |
| open MeasureTheory ProbabilityTheory Filter | |
| open Matrix | |
| open scoped NNReal ENNReal BigOperators Topology Matrix.Norms.Elementwise | |
| open MeasureTheory ProbabilityTheory Filter | |
| open scoped BigOperators NNReal ENNReal Topology | |
| open MeasureTheory ProbabilityTheory Filter Matrix | |
| open scoped NNReal ENNReal BigOperators Topology | |
| open MeasureTheory ProbabilityTheory Filter | |
| open scoped BigOperators NNReal ENNReal Topology | |
| open MeasureTheory ProbabilityTheory Filter | |
| open scoped NNReal ENNReal BigOperators Topology | |
| open MeasureTheory ProbabilityTheory Filter | |
| open scoped NNReal ENNReal BigOperators Topology | |
| open MeasureTheory ProbabilityTheory Filter | |
| open scoped NNReal ENNReal BigOperators Topology | |
| open MeasureTheory ProbabilityTheory Filter | |
| open scoped NNReal ENNReal BigOperators Topology | |
| open MeasureTheory ProbabilityTheory Filter | |
| open scoped ENNReal Topology | |
| open MeasureTheory ProbabilityTheory Filter | |
| open scoped ENNReal NNReal Topology BigOperators | |
| open MeasureTheory ProbabilityTheory Filter | |
| open scoped ENNReal NNReal Topology BigOperators | |
| open MeasureTheory ProbabilityTheory Filter | |
| open scoped ENNReal NNReal Topology BigOperators | |
| open MeasureTheory ProbabilityTheory Filter | |
| open scoped ENNReal NNReal Topology BigOperators | |
| open MeasureTheory ProbabilityTheory Filter Matrix | |
| open scoped NNReal ENNReal BigOperators Topology | |
| open MeasureTheory ProbabilityTheory Filter Matrix | |
| open scoped NNReal ENNReal BigOperators Topology | |
| open MeasureTheory ProbabilityTheory Filter Matrix | |
| open scoped NNReal ENNReal BigOperators Topology | |
| open MeasureTheory ProbabilityTheory Filter Matrix | |
| open scoped NNReal ENNReal BigOperators Topology | |
| open MeasureTheory ProbabilityTheory Filter Matrix | |
| open scoped NNReal ENNReal BigOperators Topology | |
| open MeasureTheory ProbabilityTheory Filter Matrix | |
| open scoped NNReal ENNReal BigOperators Topology Matrix Matrix.Norms.Elementwise | |
| open MeasureTheory ProbabilityTheory Filter Matrix | |
| open scoped NNReal ENNReal BigOperators Topology Matrix Matrix.Norms.Elementwise | |
| open MeasureTheory ProbabilityTheory Filter Matrix | |
| open scoped NNReal ENNReal BigOperators Topology Matrix Matrix.Norms.Elementwise | |
| open MeasureTheory ProbabilityTheory Filter Matrix | |
| open scoped NNReal ENNReal BigOperators Topology Matrix Matrix.Norms.Elementwise | |
| open MeasureTheory ProbabilityTheory Filter Matrix | |
| open scoped NNReal ENNReal BigOperators Topology Matrix Matrix.Norms.Elementwise | |
| open MeasureTheory ProbabilityTheory Filter Matrix | |
| open scoped NNReal ENNReal BigOperators Topology Matrix Matrix.Norms.Elementwise | |
| open MeasureTheory ProbabilityTheory Filter Matrix | |
| open scoped NNReal ENNReal BigOperators Topology Matrix Matrix.Norms.Elementwise | |
| open MeasureTheory ProbabilityTheory Filter Set Matrix | |
| open scoped BigOperators NNReal ENNReal Matrix.Norms.L2Operator | |
| open MeasureTheory ProbabilityTheory Filter Matrix | |
| open scoped NNReal ENNReal BigOperators Topology Matrix Matrix.Norms.Elementwise | |
| open MeasureTheory ProbabilityTheory Filter Matrix | |
| open scoped NNReal ENNReal BigOperators Topology Matrix Matrix.Norms.Elementwise | |
| open MeasureTheory ProbabilityTheory Filter Matrix | |
| open scoped NNReal ENNReal BigOperators Topology Matrix Matrix.Norms.Elementwise | |
| open MeasureTheory ProbabilityTheory Filter Matrix | |
| open scoped NNReal ENNReal BigOperators Topology Matrix Matrix.Norms.Elementwise | |
| open MeasureTheory ProbabilityTheory Filter Matrix | |
| open scoped NNReal ENNReal BigOperators Topology Matrix Matrix.Norms.Elementwise | |
| open Filter MeasureTheory ProbabilityTheory | |
| open scoped Topology NNReal ENNReal | |
| open Filter MeasureTheory ProbabilityTheory | |
| open scoped Topology NNReal ENNReal | |
| open MeasureTheory Filter | |
| open scoped Topology NNReal ENNReal | |
| open MeasureTheory Filter ProbabilityTheory | |
| open scoped Topology NNReal ENNReal | |
| open MeasureTheory Filter | |
| open scoped Topology | |
| open MeasureTheory Filter ProbabilityTheory | |
| open scoped Topology NNReal ENNReal | |
| open MeasureTheory Filter ProbabilityTheory | |
| open scoped Topology NNReal ENNReal | |
| open MeasureTheory Filter ProbabilityTheory | |
| open scoped Topology NNReal ENNReal | |
| open MeasureTheory Filter ProbabilityTheory | |
| open scoped Topology NNReal ENNReal | |
| open MeasureTheory Filter ProbabilityTheory ContinuousLinearMap | |
| open scoped Topology NNReal ENNReal | |
| open Filter MeasureTheory ProbabilityTheory | |
| open scoped Topology NNReal ENNReal | |
| open MeasureTheory Filter | |
| open scoped BigOperators Topology | |
| open MeasureTheory Filter | |
| open scoped BigOperators Topology | |
| open MeasureTheory Filter | |
| open scoped BigOperators Topology | |
| open MeasureTheory Filter | |
| open scoped BigOperators Topology | |
| namespace SKGapCutoff | |
| lemma dimensionDecay_pos (a : ℝ) (n : ℕ) : 0 < dimensionDecay a n := Real.exp_pos _ | |
| lemma dimensionDecay_le_one {a : ℝ} (ha : 0 ≤ a) {n : ℕ} (hn : 0 < n) : | |
| dimensionDecay a n ≤ 1 := by | |
| apply Real.exp_le_one_iff.mpr | |
| have hlog := Real.log_nonneg (show (1:ℝ) ≤ n by exact_mod_cast hn) | |
| nlinarith | |
| lemma dimensionDecay_mul (a b : ℝ) (n : ℕ) : | |
| dimensionDecay a n * dimensionDecay b n = dimensionDecay (a+b) n := by | |
| unfold dimensionDecay | |
| rw [← Real.exp_add] | |
| congr 1 | |
| ring | |
| lemma nat_mul_dimensionDecay {n : ℕ} (hn : 0 < n) (a : ℝ) : | |
| (n:ℝ)*dimensionDecay a n = dimensionDecay (a-1) n := by | |
| simpa only [show 1+(a-1) = a by ring, dimensionDecay] using mul_exp_log_identity hn (a-1) | |
| lemma nat_sq_mul_dimensionDecay {n : ℕ} (hn : 0 < n) (a : ℝ) : | |
| (n:ℝ)^2*dimensionDecay a n = dimensionDecay (a-2) n := by | |
| rw [pow_two, mul_assoc, nat_mul_dimensionDecay hn, nat_mul_dimensionDecay hn] | |
| congr 1 | |
| ring | |
| lemma exp_cutoffTime_eq_dimensionDecay {rate : ℝ} (hrate : rate ≠ 0) (ρ c : ℝ) (n : ℕ) : | |
| Real.exp (-2*ρ*(c*cutoffTime rate n)) = dimensionDecay (c*ρ/rate) n := by | |
| unfold cutoffTime dimensionDecay | |
| congr 1 | |
| field_simp [hrate] | |
| lemma dimensionDecay_mul_cutoffTime_tendsto {q rate : ℝ} (hq : 0 < q) : | |
| Tendsto (fun n => dimensionDecay q n*cutoffTime rate n) atTop (𝓝 0) := by | |
| have hh := (tendsto_rpow_mul_exp_neg_mul_atTop_nhds_zero 1 q hq).comp | |
| (Real.tendsto_log_atTop.comp tendsto_natCast_atTop_atTop) | |
| simp only [Function.comp_def, Real.rpow_one] at hh | |
| have hh' := hh.div_const (2*rate) | |
| convert hh' using 1 | |
| · funext n | |
| unfold dimensionDecay cutoffTime | |
| ring | |
| · simp | |
| lemma linear_mean_error_tendsto {C α q : ℝ} (hα : 1 < α) (hq : 1 < q) : | |
| Tendsto (fun n => 2*Real.sqrt (C*dimensionDecay (α-1) n+C*dimensionDecay (q-1) n)) | |
| atTop (𝓝 0) := by | |
| have hh := ((dimensionDecay_tendsto (α-1) (by linarith)).const_mul C).add | |
| ((dimensionDecay_tendsto (q-1) (by linarith)).const_mul C) | |
| simpa using hh.sqrt.const_mul 2 | |
| lemma upper_polynomial_error_tendsto {C M θ m α δ q : ℝ} | |
| (hexp : 1+2*δ < α) (hα : 1 < α) (htail : 2 < θ*δ) (hq : 1 < q) : | |
| Tendsto (fun n => Real.sqrt (C/4*dimensionDecay (α-1) n + | |
| C/4*dimensionDecay (α-1-2*δ) n + | |
| 2*C*M*Real.exp (θ*m)*dimensionDecay (θ*δ-2) n + | |
| C*dimensionDecay (q-1) n)) atTop (𝓝 0) := by | |
| have h1 := (dimensionDecay_tendsto (α-1) (by linarith)).const_mul (C/4) | |
| have h2 := (dimensionDecay_tendsto (α-1-2*δ) (by linarith)).const_mul (C/4) | |
| have h3 := (dimensionDecay_tendsto (θ*δ-2) (by linarith)).const_mul (2*C*M*Real.exp (θ*m)) | |
| have h4 := (dimensionDecay_tendsto (q-1) (by linarith)).const_mul C | |
| simpa using ((h1.add h2).add h3 |>.add h4).sqrt | |
| end SKGapCutoff | |
| open MeasureTheory Filter | |
| open scoped BigOperators Topology | |
| end | |
| end OAI | |