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Project-declaredLean 4.32.0 · mathlib@81a5d257c8e4

Integrable mul inv pow

Space.IsDistBounded.integrable_mul_inv_pow

Project documentation

The boundedness condition on a function Space d → F for it to form a distribution. -/ @[fun_prop] def IsDistBounded {d : ℕ} (f : Space d → F) : Prop := AEStronglyMeasurable (fun x => f x) volume ∧ ∃ n, ∃ c : Fin n → ℝ, ∃ g : Fin n → Space d, ∃ p : Fin n → ℤ, (∀ i, 0 ≤ c i) ∧ (∀ i, - (d - 1 : ℕ) ≤ p i) ∧ ∀ x, ‖f x‖ ≤ ∑ i, c i * ‖x + g i‖ ^ p i namespace...

Exact Lean statement

lemma integrable_mul_inv_pow {d : ℕ}
    {f : Space d → F} (hf : IsDistBounded f) :
    ∃ r, Integrable (fun x => ‖((1 + ‖x‖) ^ r)⁻¹‖ • f x) volume

Formal artifact

Lean source

Canonical source
Full Lean sourceLean 4
lemma integrable_mul_inv_pow {d : }    {f : Space d  F} (hf : IsDistBounded f) :     r, Integrable (fun x => ‖((1 + ‖x‖) ^ r)⁻¹‖ • f x) volume := by  suffices h0 :  pmax,  r,  (p : ) (hp : - (d - 1 : )  p) (c : Space d)      (p_le : p  pmax),      Integrable (fun x => ‖((1 + ‖x‖) ^ r)⁻¹‖ * ‖x + c‖ ^ p) volume by    obtain n, c, g, p, c_nonneg, p_bound, bound := hf.2    match n with    | 0 => simp at bound; simp [bound]    | n + 1 =>    let pMax := Finset.max' (Finset.image p Finset.univ) (by simp)    have pMax_max (i : Fin n.succ) : p i  pMax :=      Finset.le_max' _ _ (Finset.mem_image_of_mem p (Finset.mem_univ i))    obtain r, hr := h0 pMax    use r    apply Integrable.mono (g := fun x => ∑ i, (c i * (‖((1 + ‖x‖) ^ r)⁻¹‖ * ‖x + g i‖ ^ p i))) _    · fun_prop    · filter_upwards with x      rw [norm_smul]      refine (mul_le_mul_of_nonneg_left (bound x) (by positivity)).trans (le_of_eq ?_)      simp only [norm_inv, norm_pow, Real.norm_eq_abs, abs_abs]      rw [Finset.abs_sum_of_nonneg (fun i _ => mul_nonneg (c_nonneg i) (by positivity)),        Finset.mul_sum]      ring_nf    · refine MeasureTheory.integrable_finsetSum _ fun i _ => Integrable.const_mul ?_ _      refine (hr (p i) (p_bound i) (g i) (pMax_max i)).mono (by fun_prop) ?_      filter_upwards with x      simp  match d with  | 0 => simp  | d + 1 =>  suffices h0 :  (q : ) (c : Space (d + 1)), Integrable (fun x => ‖x + c‖ ^ (q - d : )        * ‖((1 + ‖x‖) ^ (q + (radialAngularMeasure (d := d + 1)).integrablePower))⁻¹‖) volume by    intro pMax    use (pMax + d).toNat + (radialAngularMeasure (d := d + 1)).integrablePower    intro p hp c p_le    refine (h0 (p + d).toNat c).mono (by fun_prop) ?_    filter_upwards with x    simp only [norm_inv, norm_pow, Real.norm_eq_abs, norm_mul, abs_abs, norm_zpow,      Int.ofNat_toNat]    rw [mul_comm]    refine mul_le_mul ?_ ?_ (by positivity) (by positivity)    · rw [max_eq_left (by omega)]      simp    · refine inv_pow_le_inv_pow_of_le ?_ ?_      · rw [abs_of_nonneg (by positivity)]        simp      · simp_all  let m := (radialAngularMeasure (d := (d + 1))).integrablePower  suffices h0 :  (q : ) (c : Space (d + 1)),      Integrable (fun x => ‖x‖ ^ (q - d : ) * ‖((1 + ‖x - c‖) ^ (q + m))⁻¹‖) volume by    intro q c    convert (h0 q c).comp_add_right c using 1    funext x    simp [m]  suffices h0 :  (q : ) (v : Space (d + 1)),      Integrable (fun x => ‖x‖ ^ q * ‖((1 + ‖x - v‖) ^ (q + m))⁻¹‖) radialAngularMeasure by    intro q v    specialize h0 q v    rw [integrable_radialAngularMeasure_iff] at h0    refine h0.congr (Filter.eventuallyEq_of_mem (compl_mem_ae_iff.mpr (measure_singleton 0))      fun x hx => ?_)    simp [ mul_assoc]    left    rw [zpow_sub₀ (by simpa using hx), zpow_natCast, zpow_natCast]    field_simp  intro q v  have hr1 (x : Space (d + 1)) :        ‖((1 + ‖x - v‖) ^ (q + m))⁻¹‖ = ((1 + ‖x - v‖) ^ (q + m))⁻¹ := by      simp only [norm_inv, norm_pow, Real.norm_eq_abs, inv_inj]      rw [abs_of_nonneg (by positivity)]  apply integrable_of_le_of_pow_mul_le (C₁ := 1) (C₂ := (1 + ‖v‖) ^ (q + m))  · intro x    rw [hr1]    exact inv_le_one_of_one_le₀ (one_le_pow₀ (by simp))  · intro x    rw [hr1]    refine mul_inv_le_of_le_mul₀ ?_ (by positivity) ?_    · positivity    change ‖x‖ ^ (q + m)  _    calc ‖x‖ ^ (q + m)  ((1 + ‖v‖) * (1 + ‖x - v‖)) ^ (q + m) := by          refine pow_le_pow_left₀ (norm_nonneg x) ?_ _          nlinarith [norm_le_norm_add_norm_sub' x v, norm_nonneg (x - v), norm_nonneg v]      _ = (1 + ‖v‖) ^ (q + m) * (1 + ‖x - v‖) ^ (q + m) := mul_pow _ _ _  · exact Measurable.aestronglyMeasurable (by fun_prop)
Project
Physlib
License
Apache-2.0
Commit
dd43e9e65791
Source
Physlib/SpaceAndTime/Space/IsDistBounded.lean:363-447

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