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Common marked profiles imply the finite-mixture prime-power estimates

Proved
Erdos390.Full.FixedFiniteMixtureLemma75.sigmaMixture_primePowerTransferBounds_of_common_profiles_compact

by doctosil · Sep 17, 2026 · Mathlib c5ea003 (Lean v4.30.0)

analytic-number-theoryerdos-390erdos390-source-construction

For a finite bounded valuation law, write Ip,r=1pr∣mI_{p,r}=1_{p^r\mid m}Ip,r​=1pr∣m​, Ip=Ip,1I_p=I_{p,1}Ip​=Ip,1​, Vp=vp(m)V_p=v_p(m)Vp​=vp​(m), and Jp=Vp−IpJ_p=V_p-I_pJp​=Vp​−Ip​. Write tp=log⁡p/log⁡y(n)t_p=\log p/\log y(n)tp​=logp/logy(n) and let all prime sums range over the moving band Pn,W\mathcal P_{n,W}Pn,W​. The five prime-power transfer estimates with constants (C,R)(C,R)(C,R) mean: the sums of absolute covariances of (Ip,r,Iq)(I_{p,r},I_q)(Ip,r​,Iq​), (Ip,Iq,s)(I_p,I_{q,s})(Ip​,Iq,s​), and (Ip,r,Iq,s)(I_{p,r},I_{q,s})(Ip,r​,Iq,s​) over higher exponents have bounds (Ctptq+R)/(p2q)(Ct_pt_q+R)/(p^2q)(Ctp​tq​+R)/(p2q), (Ctptq+R)/(pq2)(Ct_pt_q+R)/(pq^2)(Ctp​tq​+R)/(pq2), and (Ctptq+R)/(p2q2)(Ct_pt_q+R)/(p^2q^2)(Ctp​tq​+R)/(p2q2), respectively; also EJp2≤(C+R)/p2\mathbb E J_p^2\le(C+R)/p^2EJp2​≤(C+R)/p2 and p∑q∣Cov⁡(Vp,Vq)−Cov⁡(Ip,Iq)∣≤C/W+Rp\sum_q|\operatorname{Cov}(V_p,V_q)-\operatorname{Cov}(I_p,I_q)|\le C/W+Rp∑q​∣Cov(Vp​,Vq​)−Cov(Ip​,Iq​)∣≤C/W+R. Higher exponents run from 222 to the valuation cutoff determined by the value bound MMM. Let a finite family of bounded valuation laws have arbitrary probability mixture weights. Suppose n,W>1n,W>1n,W>1; all constants CK,ϵ,G0,k,Gf,Tℓ,Tq,Td,TrC_K,\epsilon,G_0,k,G_f,T_\ell,T_q,T_d,T_rCK​,ϵ,G0​,k,Gf​,Tℓ​,Tq​,Td​,Tr​ are nonnegative; and the four-mark profile FFF satisfies ∣F(x+z)−F(x)F(z)∣≤CKxz|F(x+z)-F(x)F(z)|\le C_Kxz∣F(x+z)−F(x)F(z)∣≤CK​xz for x,z≥0x,z\ge0x,z≥0, x+z≤4x+z\le4x+z≤4. In every component assume one- and two-prime divisibility expectations differ from the common paper main term by at most EP(r+1)/prE_P(r+1)/p^rEP​(r+1)/pr and EP(r+1)(s+1)/(prqs)E_P(r+1)(s+1)/(p^rq^s)EP​(r+1)(s+1)/(prqs) whenever the divisor is at most yN(n)4y_{\mathbb N}(n)^4yN​(n)4, where EPE_PEP​ is the source's restored probability scale pairProbabilityScale⁡(ϵ,G0,k)\operatorname{pairProbabilityScale}(\epsilon,G_0,k)pairProbabilityScale(ϵ,G0​,k). Assume also P(D∣m)≤Gf/D\mathbb P(D\mid m)\le G_f/DP(D∣m)≤Gf​/D for every positive DDD. The resulting outside-chamber residuals must satisfy the linear, quadratic, diagonal, and row budgets Tℓ,Tq,Td,TrT_\ell,T_q,T_d,T_rTℓ​,Tq​,Td​,Tr​ of the finite aggregation theorem, and ∑ptp/p≤2log⁡4\sum_p t_p/p\le2\log4∑p​tp​/p≤2log4. Then

TransferBounds⁡(μmix;n,W,Cpaper(CK),genericAggregationRemainder⁡(EA,Tℓ,Tq,Td,Tr;n,W)),\operatorname{TransferBounds}(\mu_{\rm mix};n,W,C_{\rm paper}(C_K),\operatorname{genericAggregationRemainder}(E_A,T_\ell,T_q,T_d,T_r;n,W)),TransferBounds(μmix​;n,W,Cpaper​(CK​),genericAggregationRemainder(EA​,Tℓ​,Tq​,Td​,Tr​;n,W)),

where EA=primePowerChamberRemainder⁡(ϵ,G0,k)E_A=\operatorname{primePowerChamberRemainder}(\epsilon,G_0,k)EA​=primePowerChamberRemainder(ϵ,G0​,k) and CpaperC_{\rm paper}Cpaper​ is the fixed paper prime-power constant. Thus the five estimates include the full between-component covariance. Explicitly, Cpaper(CK)=Aagg(2CK+1/ρ(U))(2log⁡4+5)C_{\rm paper}(C_K)=A_{\rm agg}(2C_K+1/\rho(U))(2\log4+5)Cpaper​(CK​)=Aagg​(2CK​+1/ρ(U))(2log4+5); the generic remainder is AaggEA+Tℓ+Tq+Td+AaggEA(∑p1/p+5)/W+TrA_{\rm agg}E_A+T_\ell+T_q+T_d+A_{\rm agg}E_A(\sum_p1/p+5)/W+T_rAagg​EA​+Tℓ​+Tq​+Td​+Aagg​EA​(∑p​1/p+5)/W+Tr​.

Preamble
import Definitions.Def_erdos390_remaining_analytic_propositions_001

universe u_1 u_2
Formal statement
theorem Erdos390.Full.FixedFiniteMixtureLemma75.sigmaMixture_primePowerTransferBounds_of_common_profiles_compact : Erdos390.RemainingAnalyticGoal001_002.{u_1, u_2} := by sorry
Source
https://github.com/ShouqiaoW/erdos/blob/61325b10bbdc29f4fb5e0618b414b9f2189333ad/390/lean/Erdos390/Full/FixedFiniteMixtureLemma75.lean#L33-L176

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