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EntireQuotientGrowth.lean
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1 /-
2 Copyright (c) 2026 Komorebi P. All rights reserved.
3 Authors: Komorebi P.
4 -/
5 import KomorebiPaperIV.SublinearExponentialRigidity
6 import Mathlib.Analysis.Complex.ValueDistribution.FirstMainTheorem
7 import Mathlib.Analysis.Complex.Harmonic.Poisson
8
9 namespace Komorebi.PaperIV
10 noncomputable section
11 open Set Filter Metric Real ValueDistribution
12 open scoped Topology
13
14 theorem entire_logCounting_poles_zero {f : ℂ → ℂ} (hf : Differentiable ℂ f) :
15 logCounting f ⊤ = 0 := by
16 have ha : AnalyticOnNhd ℂ f univ := fun z _ => hf.analyticAt z
17 rw [logCounting_top, negPart_eq_zero.mpr (MeromorphicOn.AnalyticOnNhd.divisor_nonneg ha)]
18 simp
19
20 theorem entire_normalized_proximity_inv_le {f : ℂ → ℂ}
21 (hf : Differentiable ℂ f) (h0 : f 0 = 1) {R : ℝ} (hR : 1 ≤ R) :
22 proximity f⁻¹ ⊤ R ≤ proximity f ⊤ R := by
23 have hm : Meromorphic f := fun z => (hf.analyticAt z).meromorphicAt
24 have ht := (hf.analyticAt 0).meromorphicTrailingCoeffAt_of_ne_zero (by rw [h0]; exact one_ne_zero)
25 have he := characteristic_sub_characteristic_inv_le (R := R) hm
26 rw [ht, h0, norm_one, log_one, abs_zero, max_self] at he
27 have heq := abs_nonpos_iff.mp he
28 simp only [characteristic, Pi.add_apply, entire_logCounting_poles_zero hf, Pi.zero_apply, add_zero] at heq
29 have hn := logCounting_nonneg (f := f⁻¹) (e := ⊤) hR
30 linarith
31
32 theorem entire_eventually_codiscrete_ne_zero {f : ℂ → ℂ}
33 (hf : Differentiable ℂ f) (h0 : f 0 ≠ 0) :
34 ∀ᶠ z in codiscrete ℂ, f z ≠ 0 := by
35 have hm : MeromorphicOn f univ := fun z _ => (hf.analyticAt z).meromorphicAt
36 have hh := hm.eventually_codiscreteWithin_apply_ne_zero (fun z _ => ?_)
37 · simpa only [Filter.codiscrete] using hh
38 · rw [(hf.analyticAt z).meromorphicOrderAt_eq,
39 ← Nat.cast_analyticOrderNatAt (entire_analyticOrderAt_ne_top (fun w => hf.analyticAt w) h0 z),
40 ENat.map_natCast]
41 exact WithTop.coe_ne_top
42
43 /-- Jensen's formula controls a normalized entire quotient using only upper
44 growth of numerator and denominator, including circles through their zeros. -/
45 theorem entire_quotient_proximity_le {f P Q : ℂ → ℂ}
46 (hf : Differentiable ℂ f) (hP : Differentiable ℂ P)
47 (hP0 : P 0 = 1) (he : ∀ z, P z * Q z = f z)
48 {R : ℝ} (hR : 1 ≤ R) :
49 proximity Q ⊤ R ≤ proximity f ⊤ R + proximity P ⊤ R := by
50 have hm : Meromorphic f := fun z => (hf.analyticAt z).meromorphicAt
51 have hp : Meromorphic P := fun z => (hP.analyticAt z).meromorphicAt
52 have heq : Q =ᶠ[codiscrete ℂ] f * P⁻¹ := by
53 filter_upwards [entire_eventually_codiscrete_ne_zero hP (by rw [hP0]; exact one_ne_zero)] with z hz
54 change Q z = f z * (P z)⁻¹
55 rw [← he z]
56 field_simp
57 rw [proximity_congr_codiscrete heq (by linarith)]
58 exact (proximity_mul_top_le hm hp.inv R).trans
59 (add_le_add_right (entire_normalized_proximity_inv_le hP hP0 hR) _)
60
61 /-- A Poisson-kernel estimate on the half-radius disk. -/
62 theorem entire_re_le_three_proximity_exp {g : ℂ → ℂ} (hg : Differentiable ℂ g)
63 {R : ℝ} (hR : 0 < R) {z : ℂ} (hz : ‖z‖ < R / 2) :
64 (g z).re ≤ 3 * proximity (fun w => Complex.exp (g w)) ⊤ R := by
65 let K : ℂ → ℝ := fun w => (herglotzRieszKernel 0 z w).re
66 have hzR : z ∈ ball (0 : ℂ) R := by
67 rw [mem_ball_zero_iff]; linarith
68 have hK : ContinuousOn K (sphere 0 |R|) :=
69 Complex.continuous_re.comp_continuousOn
70 (continuousOn_herglotzRieszKernel_sphere (by
71 rw [abs_of_pos hR, mem_sphere_zero_iff_norm]; intro heq; linarith))
72 have hh : InnerProductSpace.HarmonicOnNhd (fun w => (g w).re) (closedBall 0 R) :=
73 fun w _ => (hg.analyticAt w).harmonicAt_re
74 have he := hh.circleAverage_re_herglotzRieszKernel_smul hzR
75 change circleAverage (fun w => K w * (g w).re) 0 R = (g z).re at he
76 have hi : CircleIntegrable (fun w => K w * (g w).re) 0 R :=
77 (hK.mul (Complex.continuous_re.comp hg.continuous).continuousOn).circleIntegrable'
78 have hj : CircleIntegrable (fun w => 3 * max 0 (g w).re) 0 R := by
79 exact (continuous_const.mul (continuous_const.max (Complex.continuous_re.comp hg.continuous))).continuousOn.circleIntegrable'
80 have hm := circleAverage_mono hi hj (fun w hw => ?_)
81 · rw [he] at hm
82 simpa only [proximity_top, Complex.norm_exp, posLog, log_exp,
83 ← smul_eq_mul, circleAverage_fun_smul] using hm
84 · have hw' : w ∈ sphere (0 : ℂ) R := by rwa [abs_of_pos hR] at hw
85 have hu := re_herglotzRieszKernel_le hw' hzR
86 have hl := le_re_herglotzRieszKernel hw' hzR
87 simp only [sub_zero] at hu hl
88 have hd : 0 < R - ‖z‖ := by linarith
89 have hk3 : K w ≤ 3 := by
90 simpa only [K, herglotzRieszKernel, sub_zero] using
91 hu.trans ((div_le_iff₀ hd).mpr (show R + ‖z‖ ≤ 3 * (R - ‖z‖) by linarith))
92 have hk0 : 0 ≤ K w := by
93 have hd2 : 0 ≤ R + ‖z‖ := by positivity
94 simpa only [K, herglotzRieszKernel, sub_zero] using (div_nonneg hd.le hd2).trans hl
95 exact (mul_le_mul_of_nonneg_left (le_max_right 0 _) hk0).trans
96 (mul_le_mul_of_nonneg_right hk3 (le_max_left 0 _))
97
98 theorem entire_proximity_le_of_growth {f : ℂ → ℂ} (hf : Differentiable ℂ f)
99 {R B : ℝ} (hB : 0 ≤ B) (hb : ∀ z ∈ sphere (0 : ℂ) |R|, ‖f z‖ ≤ exp B) :
100 proximity f ⊤ R ≤ B := by
101 rw [proximity_top]
102 apply circleAverage_mono_on_of_le_circle
103 ((show MeromorphicOn f (sphere 0 |R|) from fun z _ => (hf.analyticAt z).meromorphicAt).circleIntegrable_posLog_norm)
104 intro z hz
105 rw [posLog, max_le_iff]
106 refine ⟨hB, ?_⟩
107 by_cases h : f z = 0
108 · simpa [h] using hB
109 · exact (log_le_iff_le_exp (norm_pos_iff.mpr h)).mpr (hb z hz)
110
111 /-- Sublinear growth of two entire factors eliminates a normalized exponential
112 factor. All estimates are derived from circle means, even when a circle meets zeros. -/
113 theorem entire_sublinear_factor_rigidity {f P g : ℂ → ℂ}
114 (hf : Differentiable ℂ f) (hP : Differentiable ℂ P) (hg : Differentiable ℂ g)
115 (hP0 : P 0 = 1) (hg0 : g 0 = 0)
116 (he : ∀ z, P z * Complex.exp (g z) = f z)
117 {C s : ℝ} (hC : 0 ≤ C) (hs : s < 1)
118 (hbound : ∀ R : ℝ, 1 ≤ R → ∀ z : ℂ, ‖z‖ ≤ R →
119 ‖f z‖ ≤ exp (C * R ^ s) ∧ ‖P z‖ ≤ exp (C * R ^ s)) : g = 0 := by
120 let M : ℝ → ℝ := fun R => 1 + 6 * C * (2 * R) ^ s
121 apply entire_realPart_sublinear_constant hg hg0 (M := M)
122 · filter_upwards [eventually_ge_atTop (1 : ℝ)] with R hR
123 dsimp [M]
124 positivity
125 · have ht : Tendsto (fun R : ℝ => R ^ (s - 1)) atTop (𝓝 0) := by
126 simpa only [neg_sub] using tendsto_rpow_neg_atTop (show 0 < 1 - s by linarith)
127 have heq : (fun R => M R / R) =ᶠ[atTop]
128 (fun R => R⁻¹ + (6 * C * (2 : ℝ) ^ s) * R ^ (s - 1)) := by
129 filter_upwards [eventually_gt_atTop (0 : ℝ)] with R hR
130 dsimp [M]
131 rw [Real.mul_rpow (by norm_num) hR.le, Real.rpow_sub hR, Real.rpow_one]
132 ring
133 have hlim : Tendsto (fun R : ℝ => R⁻¹ + (6 * C * (2 : ℝ) ^ s) * R ^ (s - 1)) atTop (𝓝 0) := by
134 simpa only [mul_zero, add_zero] using tendsto_inv_atTop_zero.add (ht.const_mul (6 * C * (2 : ℝ) ^ s))
135 exact hlim.congr' heq.symm
136 · filter_upwards [eventually_ge_atTop (1 : ℝ)] with R hR z hz
137 have hR0 : 0 < R := by linarith
138 have h2R : 1 ≤ 2 * R := by linarith
139 have hzb : ‖z‖ < (2 * R) / 2 := by linarith
140 have hgrowth := entire_re_le_three_proximity_exp hg (by linarith : 0 < 2 * R) hzb
141 have hp := entire_quotient_proximity_le hf hP hP0 he h2R
142 have hb : 0 ≤ C * (2 * R) ^ s := mul_nonneg hC (Real.rpow_nonneg (by linarith) _)
143 have hbF := entire_proximity_le_of_growth hf (R := 2 * R) hb (fun w hw => ?_)
144 have hbP := entire_proximity_le_of_growth hP (R := 2 * R) hb (fun w hw => ?_)
145 · dsimp [M]
146 linarith
147 all_goals
148 rw [abs_of_pos (by linarith : 0 < 2 * R), mem_sphere_zero_iff_norm] at hw
149 first | exact (hbound (2 * R) h2R w hw.le).1 | exact (hbound (2 * R) h2R w hw.le).2
150
151 end
152 end Komorebi.PaperIV
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