Download lean/OAI/Probability/LogConcave/JetEstimates/LogDegree.lean from roseking/openAI-math-dataset: direct link, hf CLI and curl.
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3.2 kB
| import Mathlib | |
| import OAI.Probability.LogConcave.JetEstimates.Slice | |
| namespace OAI | |
| section | |
| section | |
| noncomputable section | |
| namespace LogConcaveSampling | |
| open scoped Classical BigOperators NNReal ENNReal | |
| namespace TensorSum | |
| variable {S : Type} [Fintype S] | |
| def logDegree (A : TensorSum S) (j : ℕ) : ℕ := | |
| ∑i,(A.term i).atom.expression.profileConstant*(j+1) | |
| def logCoefficient (A : TensorSum S) (j : ℕ) (p : ℝ≥0∞) : ℝ := | |
| ∑i,polynomialBudget (A.term i).coefficient* | |
| (4*((A.term i).atom.expression.profileConstant:ℝ)*(p.toReal+j+1))^ | |
| ((A.term i).atom.expression.profileConstant*(j+1)) | |
| omit [Fintype S] in | |
| lemma logCoefficient_nonneg (A : TensorSum S) (j : ℕ) (p : ℝ≥0∞) : | |
| 0≤A.logCoefficient j p := by | |
| apply Finset.sum_nonneg | |
| intro i _ | |
| exact mul_nonneg (polynomialBudget_nonneg _) (by positivity) | |
| omit [Fintype S] in | |
| lemma momentBudget_polylog (A : TensorSum S) (d j : ℕ) (p : ℝ≥0∞) : | |
| (A.momentBudget d j p).toReal≤ | |
| A.logCoefficient j p*(1+Real.log ((d:ℝ)+1))^(A.logDegree j) := by | |
| have hl : 0≤Real.log ((d:ℝ)+1) := Real.log_nonneg (by linarith [Nat.cast_nonneg (α:=ℝ) d]) | |
| have ht : 1≤1+Real.log ((d:ℝ)+1) := by linarith | |
| have hf (i : A.index) : | |
| ENNReal.ofReal (polynomialBudget (A.term i).coefficient)* | |
| ((4*((A.term i).atom.expression.profileConstant:ℝ≥0∞))* | |
| ENNReal.ofReal (p.toReal+j+Real.log ((d:ℝ)+1)+1))^ | |
| ((A.term i).atom.expression.profileConstant*(j+1))≠⊤ := by | |
| apply ne_of_lt | |
| exact ENNReal.mul_lt_top ENNReal.ofReal_lt_top | |
| (ENNReal.pow_lt_top (ENNReal.mul_lt_top | |
| (ENNReal.mul_lt_top (by norm_num) (ENNReal.natCast_lt_top _)) ENNReal.ofReal_lt_top)) | |
| rw [momentBudget,ENNReal.toReal_sum (fun i _ => hf i),logCoefficient,Finset.sum_mul] | |
| apply Finset.sum_le_sum | |
| intro i _ | |
| simp only [ENNReal.toReal_mul,ENNReal.toReal_pow,ENNReal.toReal_ofNat, | |
| ENNReal.toReal_natCast,ENNReal.toReal_ofReal (polynomialBudget_nonneg _), | |
| ENNReal.toReal_ofReal (by positivity : 0≤p.toReal+(j:ℝ)+Real.log ((d:ℝ)+1)+1)] | |
| let c := (A.term i).atom.expression.profileConstant | |
| let n := c*(j+1) | |
| have hb : 4*(c:ℝ)*(p.toReal+j+Real.log ((d:ℝ)+1)+1)≤ | |
| (4*(c:ℝ)*(p.toReal+j+1))*(1+Real.log ((d:ℝ)+1)) := by | |
| have hh : 0≤(p.toReal+(j:ℝ))*Real.log ((d:ℝ)+1) := by positivity | |
| have hh' := mul_nonneg (by positivity : 0≤4*(c:ℝ)) hh | |
| nlinarith | |
| have hn : n≤A.logDegree j := by | |
| dsimp [n,c,logDegree] | |
| exact Finset.single_le_sum (f:=fun i : A.index => (A.term i).atom.expression.profileConstant*(j+1)) (fun _ _ => Nat.zero_le _) (Finset.mem_univ i) | |
| calc | |
| _ ≤ polynomialBudget (A.term i).coefficient* | |
| ((4*(c:ℝ)*(p.toReal+j+1))*(1+Real.log ((d:ℝ)+1)))^n := | |
| mul_le_mul_of_nonneg_left (pow_le_pow_left₀ (by positivity) hb _) (polynomialBudget_nonneg _) | |
| _ = polynomialBudget (A.term i).coefficient*(4*(c:ℝ)*(p.toReal+j+1))^n* | |
| (1+Real.log ((d:ℝ)+1))^n := by rw [mul_pow]; ring | |
| _ ≤ _ := mul_le_mul_of_nonneg_left (pow_le_pow_right₀ ht hn) (by | |
| exact mul_nonneg (polynomialBudget_nonneg _) (by positivity)) | |
| end TensorSum | |
| end LogConcaveSampling | |
| end | |
| end | |
| end | |
| end OAI | |