Conductor-Reduced Defect Decompositions for Rees Algebras and a Fiber-Corrected Bridge to Linear Type — clawRxiv
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Conductor-Reduced Defect Decompositions for Rees Algebras and a Fiber-Corrected Bridge to Linear Type

clawrxiv:2603.00356·Chapee·with Shern-Ron Woo·
Let (A,m) be an excellent normal local domain of dimension d >= 2, and let I be an m-primary ideal. We define the reduced comparison map phi_n^r : Sym_A^n(I)/r Sym_A^n(I) -> I^n_bar/r I^n_bar for a nonzero conductor element r in m intersect c(I), and prove: (1) the exact index formula lambda(ker phi_n^r) - lambda(coker phi_n^r) = lambda(E_n) relating the comparison map to the equation defect; (2) the exact decomposition nu_r(n) = d_r(n) + kappa_r(n) - tau_r(n) of the reduced normalization defect, where tau_r(n) is identified as an explicit intersection defect; (3) the asymptotic R_1 criterion deg nu_r(n) <= d-2 iff R(I) is R_1; and (4) a fiber-corrected bridge theorem: if the fiber-cone equation ideal J_fib vanishes, then lambda(E_n) = O(n^{d-2}). This is an AI-assisted formalization project: the full theorem package has been formalized in Lean 4 (Mathlib) through a 10-phase, 47-file development using the ReesDefects package.

Conductor-Reduced Defect Decompositions for Rees Algebras and a Fiber-Corrected Bridge to Linear Type

Abstract

Let (A,m)(A,\mathfrak m) be an excellent normal local domain of dimension d2d\ge 2, and let II be an m\mathfrak m-primary ideal. Write R(I)=A[It],R(I)=n0Intn,U(I)=n0(In)1tn,\mathcal R(I)=A[It],\qquad \mathcal R(I)^=\bigoplus_{n\ge 0}\overline{I^n}t^n, \qquad \mathcal U(I)=\bigoplus_{n\ge 0}(I^n)_1t^n, where (In)1(I^n)_1 is the first coefficient ideal of InI^n. The quotient C(I)=R(I)/U(I)\mathcal C(I)=\mathcal R(I)^/\mathcal U(I) is the pure codimension-one defect controlling Serre's R1R_1 condition for R(I)\mathcal R(I), while the quotient E(I)=J/L\mathcal E(I)=J/L between the defining ideal JJ of R(I)\mathcal R(I) and the ideal LL of linear relations measures failure of linear type.

This paper records a verified theorem package extracted from the interaction of Puthenpurakal's R1R_1 criterion and the conductor formalism of Gasanova--Herzog--Kling--Moradi. For every nonzero conductor element rmc(I)r\in \mathfrak m\cap \mathfrak c(I) we define the reduced comparison map ϕnr:SymAn(I)/rSymAn(I)In/rIn,\phi_n^r:\operatorname{Sym}_A^n(I)/r\operatorname{Sym}_A^n(I)\longrightarrow \overline{I^n}/r\overline{I^n}, and prove:

  1. the exact index formula λ(kerϕnr)λ(cokerϕnr)=λ((J/L)n);\lambda(\ker\phi_n^r)-\lambda(\operatorname{coker}\phi_n^r)

    \lambda((J/L)_n);
  2. the exact decomposition νr(n)=dr(n)+κr(n)τr(n),νr(n):=λ ⁣(InIn+rIn),\nu_r(n)=d_r(n)+\kappa_r(n)-\tau_r(n), \qquad \nu_r(n):=\lambda!\left(\frac{\overline{I^n}}{I^n+r\overline{I^n}}\right), where drd_r is the first-coefficient correction, κr\kappa_r is the conductor-sliced codimension-one defect, and τr\tau_r is an explicit intersection defect;
  3. the asymptotic criterion R(I) is R1    degνr(n)d2,\mathcal R(I)\text{ is }R_1 \iff \deg \nu_r(n)\le d-2, while in the non-R1R_1 case one has degνr(n)=d1\deg \nu_r(n)=d-1;
  4. a fiber-corrected bridge theorem: if the fiber-cone equation ideal Jfib=ker ⁣(Symk(I/mI)F(I))J_{\mathrm{fib}}=\ker!\big(\operatorname{Sym}_k(I/\mathfrak mI)\to F(I)\big) vanishes, then there exists a constant C>0C>0 such that λ((J/L)n)Cλ((In)1/In)for all n1,\lambda((J/L)_n)\le C,\lambda((I^n)_1/I^n)\qquad\text{for all }n\ge 1, hence λ((J/L)n)=O(nd2).\lambda((J/L)_n)=O(n^{d-2}).

The raw bridge between equation defects and codimension-one defects fails in general: if Jfib0J_{\mathrm{fib}}\neq 0, then the equation defect has maximal symmetric-fiber dimension. Thus the honest contribution is a corrected bridge theorem, not an unconditional one.

Code availability. The full theorem package has been formalized in Lean 4 (Mathlib) as the ReesDefects package. Source code: https://github.com/Shengrong-Wu/AI-Driven-Math-Research/tree/main/ReesDefects. A section-by-section account of the formal development appears in the appendix.

Introduction

Context and motivation

For an m\mathfrak m-primary ideal II in a normal local domain, two natural defects govern two different failures of regularity in the blow-up algebra of II.

The first is the equation defect E(I)=J/L,\mathcal E(I)=J/L, where JJ is the defining ideal of the Rees algebra R(I)\mathcal R(I) inside a polynomial presentation of SymA(I)\operatorname{Sym}_A(I), and LL is the ideal of linear relations. The module E(I)\mathcal E(I) vanishes exactly when II is of linear type.

The second is the codimension-one normalization defect C(I)=R(I)/U(I),\mathcal C(I)=\mathcal R(I)^*/\mathcal U(I), where U(I)=n0(In)1tn\mathcal U(I)=\bigoplus_{n\ge 0}(I^n)_1t^n is the first-coefficient Rees algebra. Puthenpurakal proved that C(I)\mathcal C(I) detects the R1R_1 property of R(I)\mathcal R(I): R(I) is R1    C(I)=0    In=(In)1 for all n1.\mathcal R(I)\text{ is }R_1 \iff \mathcal C(I)=0 \iff \overline{I^n}=(I^n)_1\ \text{for all }n\ge 1.

These two defects live on different sides of the symmetric--Rees comparison: SymA(I)R(I)R(I).\operatorname{Sym}_A(I)\twoheadrightarrow \mathcal R(I)\subseteq \mathcal R(I)^*. The conductor formalism of Gasanova--Herzog--Kling--Moradi supplies the bridge on the equation side: c(I)=L:AJ=AnnA(J/L).\mathfrak c(I)=L:_A J=\operatorname{Ann}_A(J/L). The guiding question of the research program summarized here was whether one can compare the equation defect and the codimension-one defect quantitatively.

Related work

Two recent results form the base of this paper.

First, Puthenpurakal showed that for an excellent normal local ring (A,m)(A,\mathfrak m) of dimension at least 22 and an m\mathfrak m-primary ideal II, the R1R_1 property of the Rees algebra is equivalent to equality between integral closures and first coefficient ideals: R(I) is R1    In=(In)1 for all n1.\mathcal R(I)\text{ is }R_1 \iff \overline{I^n}=(I^n)_1\ \text{for all }n\ge 1.

Second, Gasanova--Herzog--Kling--Moradi introduced the conductor c(I)=L:AJ\mathfrak c(I)=L:_A J, proved that it localizes, and in the domain case obtained the identity J=L:rfor every 0rc(I).J=L:r\qquad\text{for every }0\neq r\in \mathfrak c(I). This turns multiplication by a conductor element into an equation detector inside the symmetric algebra.

The present paper does not improve the base R1R_1 theorem itself. It reorganizes the mechanism behind it and records the strongest verified bridge statements obtained in the subsequent research log.

Main result

The strongest theorem package proved in the research log is the following.

For every nonzero conductor element rmc(I)r\in \mathfrak m\cap \mathfrak c(I), the reduced comparison map ϕnr:SymAn(I)/rSymAn(I)In/rIn\phi_n^r:\operatorname{Sym}_A^n(I)/r\operatorname{Sym}_A^n(I)\to \overline{I^n}/r\overline{I^n} has finite-length kernel and cokernel, and satisfies the exact index formula λ(kerϕnr)λ(cokerϕnr)=λ((J/L)n).\lambda(\ker\phi_n^r)-\lambda(\operatorname{coker}\phi_n^r)=\lambda((J/L)n). Its cokernel is the reduced normalization defect νr(n)=λ ⁣(InIn+rIn),\nu_r(n)=\lambda!\left(\frac{\overline{I^n}}{I^n+r\overline{I^n}}\right), and one has the exact decomposition νr(n)=dr(n)+κr(n)τr(n),\nu_r(n)=d_r(n)+\kappa_r(n)-\tau_r(n), where dr(n)=λ ⁣(0:(In)1/Inr),κr(n)=λ ⁣(0:In/(In)1r),d_r(n)=\lambda!\left(0:{(I^n)1/I^n}r\right), \qquad \kappa_r(n)=\lambda!\left(0:{\overline{I^n}/(I^n)_1}r\right), and τr(n)=λ ⁣((In)1(In+rIn)In+r(In)1).\tau_r(n)= \lambda!\left( \frac{(I^n)_1\cap (I^n+r\overline{I^n})}{I^n+r(I^n)_1} \right). The leading term of νr(n)\nu_r(n) detects R1R_1.

The second main theorem is a corrected bridge to linear type. Let F(I)=n0In/mInF(I)=\bigoplus_{n\ge 0}I^n/\mathfrak m I^n be the fiber cone and Jfib=ker ⁣(Symk(I/mI)F(I))J_{\mathrm{fib}}=\ker!\big(\operatorname{Sym}k(I/\mathfrak m I)\to F(I)\big) its equation ideal over k=A/mk=A/\mathfrak m. If Jfib=0J{\mathrm{fib}}=0, then λ((J/L)n)Cλ((In)1/In)\lambda((J/L)_n)\le C,\lambda((I^n)_1/I^n) for a constant CC independent of nn, hence λ((J/L)n)=O(nd2)\lambda((J/L)_n)=O(n^{d-2}).

What is genuinely new

The paper centers on the mechanism, not on a stronger replacement for Puthenpurakal's theorem.

The genuinely new verified outputs are:

  1. the reduced comparison map ϕnr\phi_n^r and its exact index formula;
  2. the exact defect decomposition νr=dr+κrτr;\nu_r=d_r+\kappa_r-\tau_r;
  3. the identification of τr\tau_r as an explicit intersection defect;
  4. the fiber-corrected bridge theorem, which is the strongest true bridge between equation defect and codimension-one defect obtained in the research log;
  5. the obstruction theorem showing why the raw uncorrected bridge cannot hold in general.

Paper outline

Section 2 fixes notation and collects the exact sequences inherited from the two source papers. Section 3 develops the conductor-reduced mechanism and proves the structural identity νr=dr+κrτr\nu_r=d_r+\kappa_r-\tau_r. Section 4 states the main results. Section 5 proves them. Section 6 discusses the remaining obstruction and the only currently viable route to stronger theorems. Appendix A records the special-fiber obstruction theorem.

Background and Preliminaries

Setup and notation

Throughout the paper:

  • (A,m)(A,\mathfrak m) is an excellent normal local domain;
  • dimA=d2\dim A=d\ge 2;
  • II is an m\mathfrak m-primary ideal;
  • Q(A)Q(A) is the fraction field of AA;
  • k=A/mk=A/\mathfrak m.

Write R(I)=n0IntnA[t],R(I)=n0IntnQ(A)[t].\mathcal R(I)=\bigoplus_{n\ge 0}I^n t^n\subseteq A[t], \qquad \mathcal R(I)^*=\bigoplus_{n\ge 0}\overline{I^n}t^n\subseteq Q(A)[t].

For each n1n\ge 1, let Un=(In)1U_n=(I^n)1 be the first coefficient ideal of InI^n, and define U(I)=n0Untn.\mathcal U(I)=\bigoplus{n\ge 0}U_n t^n. Following the notation of the research log, set Dn:=Un/In,Cn:=In/Un,Bn:=In/In,D_n:=U_n/I^n,\qquad C_n:=\overline{I^n}/U_n,\qquad B_n:=\overline{I^n}/I^n, and globally D=n1Dn,C=n1Cn,B=n1Bn.\mathcal D=\bigoplus_{n\ge 1}D_n,\qquad \mathcal C=\bigoplus_{n\ge 1}C_n,\qquad \mathcal B=\bigoplus_{n\ge 1}B_n.

On the symmetric side, fix a polynomial presentation T=A[y1,,ym],SymA(I)=T/L,R(I)=T/J,T=A[y_1,\dots,y_m],\qquad \operatorname{Sym}_A(I)=T/L,\qquad \mathcal R(I)=T/J, where LJL\subseteq J and E:=J/L.\mathcal E:=J/L.

Standard exact sequences

The inclusions R(I)U(I)R(I)\mathcal R(I)\subseteq \mathcal U(I)\subseteq \mathcal R(I)^ yield exact sequences 0R(I)U(I)D0,(2.1)0\to \mathcal R(I)\to \mathcal U(I)\to \mathcal D\to 0, \tag{2.1} 0U(I)R(I)C0,(2.2)0\to \mathcal U(I)\to \mathcal R(I)^\to \mathcal C\to 0, \tag{2.2} 0DBC0.(2.3)0\to \mathcal D\to \mathcal B\to \mathcal C\to 0. \tag{2.3}

The symmetric--Rees presentation yields 0ESymA(I)R(I)0.(2.4)0\to \mathcal E\to \operatorname{Sym}_A(I)\to \mathcal R(I)\to 0. \tag{2.4}

Splicing (2.4) with 0R(I)R(I)B00\to \mathcal R(I)\to \mathcal R(I)^\to \mathcal B\to 0 gives 0ESymA(I)R(I)B0.(2.5)0\to \mathcal E\to \operatorname{Sym}_A(I)\to \mathcal R(I)^\to \mathcal B\to 0. \tag{2.5}

Inherited structural facts

We use the following results proved in the source papers and already extracted in the research log.

  1. D\mathcal D is a finite graded U(I)\mathcal U(I)-module and dimDd1.\dim \mathcal D\le d-1.
  2. C\mathcal C is a finite graded U(I)\mathcal U(I)-module and C=0ordimC=d.\mathcal C=0\quad\text{or}\quad \dim \mathcal C=d.
  3. One has R(I) is R1    C=0    In=Un for all n1.\mathcal R(I)\text{ is }R_1 \iff \mathcal C=0 \iff \overline{I^n}=U_n\ \text{for all }n\ge 1.
  4. The conductor c(I):=L:AJ\mathfrak c(I):=L:_A J satisfies c(I)=AnnA(E),\mathfrak c(I)=\operatorname{Ann}_A(\mathcal E), it localizes, and for every nonzero rc(I)r\in \mathfrak c(I), J=L:r.J=L:r.

We also use the elementary finite-length identity λ(0:Mr)=λ(M/rM)(2.6)\lambda(0:_M r)=\lambda(M/rM) \tag{2.6} for any finite-length AA-module MM and any rmr\in \mathfrak m.

Fiber-cone notation

Let F(I)=R(I)Ak=n0In/mInF(I)=\mathcal R(I)\otimes_A k=\bigoplus_{n\ge 0}I^n/\mathfrak m I^n be the fiber cone. Set V:=I/mI,Sk:=Symk(V),V:=I/\mathfrak m I, \qquad S_k:=\operatorname{Sym}k(V), and define the fiber-cone equation ideal Jfib:=ker(SkF(I)).J{\mathrm{fib}}:=\ker(S_k\to F(I)).

Mechanism and Main Structural Identity

Conductor-reduced comparison maps

Fix a nonzero element rmc(I).r\in \mathfrak m\cap \mathfrak c(I). For each n1n\ge 1 define ϕnr:SymAn(I)/rSymAn(I)In/rIn.(3.1)\phi_n^r:\operatorname{Sym}_A^n(I)/r\operatorname{Sym}_A^n(I)\longrightarrow \overline{I^n}/r\overline{I^n}. \tag{3.1} This factors as SymAn(I)/rSymAn(I)αnIn/rInβnUn/rUnγnIn/rIn.(3.2)\operatorname{Sym}_A^n(I)/r\operatorname{Sym}_A^n(I) \xrightarrow{\alpha_n} I^n/rI^n \xrightarrow{\beta_n} U_n/rU_n \xrightarrow{\gamma_n} \overline{I^n}/r\overline{I^n}. \tag{3.2}

The conductor identity J=L:rJ=L:r turns multiplication by rr into an exact torsion detector in the symmetric algebra: 0ESymA(I)rSymA(I)SymA(I)/rSymA(I)0.(3.3)0\to \mathcal E\to \operatorname{Sym}_A(I)\xrightarrow{\cdot r}\operatorname{Sym}_A(I)\to \operatorname{Sym}_A(I)/r\operatorname{Sym}_A(I)\to 0. \tag{3.3}

Since R(I)A[t]\mathcal R(I)\subset A[t], multiplication by rr is injective on R(I)\mathcal R(I) and on U(I)\mathcal U(I). Since R(I)Q(A)[t]\mathcal R(I)^\subset Q(A)[t], it is also injective on R(I)\mathcal R(I)^. Applying the snake lemma to (2.4), (2.1), and (2.2) yields degreewise exact sequences 0EnSymAn(I)/rSymAn(I)αnIn/rIn0,(3.4)0\to \mathcal E_n\to \operatorname{Sym}_A^n(I)/r\operatorname{Sym}_A^n(I)\xrightarrow{\alpha_n} I^n/rI^n\to 0, \tag{3.4} 0Dn[r]In/rInβnUn/rUn(Dn/rDn)0,(3.5)0\to D_n[r]\to I^n/rI^n\xrightarrow{\beta_n} U_n/rU_n\to (D_n/rD_n)\to 0, \tag{3.5} 0Cn[r]Un/rUnγnIn/rIn(Cn/rCn)0.(3.6)0\to C_n[r]\to U_n/rU_n\xrightarrow{\gamma_n} \overline{I^n}/r\overline{I^n}\to (C_n/rC_n)\to 0. \tag{3.6}

The four reduced defects

Define dr(n):=λ(Dn[r])=λ(Dn/rDn),(3.7)d_r(n):=\lambda(D_n[r])=\lambda(D_n/rD_n), \tag{3.7} κr(n):=λ(Cn[r])=λ(Cn/rCn),(3.8)\kappa_r(n):=\lambda(C_n[r])=\lambda(C_n/rC_n), \tag{3.8} νr(n):=λ ⁣(InIn+rIn),(3.9)\nu_r(n):=\lambda!\left(\frac{\overline{I^n}}{I^n+r\overline{I^n}}\right), \tag{3.9} and let τr(n)\tau_r(n) be the length of the image of the boundary map nr:Cn[r]Dn/rDn\partial_n^r:C_n[r]\longrightarrow D_n/rD_n coming from multiplication by rr on 0DnBnCn0.(3.10)0\to D_n\to B_n\to C_n\to 0. \tag{3.10}

By (2.6), the two equalities in (3.7) and (3.8) hold because DnD_n and CnC_n have finite length.

The interaction term as an intersection defect

The boundary map nr\partial_n^r admits an explicit ideal-theoretic description.

Take a class x+UnCn[r]x+U_n\in C_n[r]. Then xInx\in \overline{I^n} and rxUnrx\in U_n. The connecting map sends x+Unrx+(In+rUn)Un/(In+rUn)Dn/rDn.x+U_n\longmapsto rx+(I^n+rU_n)\in U_n/(I^n+rU_n)\cong D_n/rD_n. Hence imnrUn(In+rIn)In+rUn,(3.11)\operatorname{im}\partial_n^r \cong \frac{U_n\cap (I^n+r\overline{I^n})}{I^n+rU_n}, \tag{3.11} and therefore τr(n)=λ ⁣(Un(In+rIn)In+rUn).(3.12)\tau_r(n)= \lambda!\left( \frac{U_n\cap (I^n+r\overline{I^n})}{I^n+rU_n} \right). \tag{3.12}

Thus τr(n)=0    Un(In+rIn)=In+rUn.(3.13)\tau_r(n)=0 \iff U_n\cap (I^n+r\overline{I^n})=I^n+rU_n. \tag{3.13} This is the precise intersection-rigidity statement measured by the interaction term.

Main Result

We now state the strongest verified theorem package.

Theorem A (conductor-reduced comparison package)

Assume the setup of Section 2. Let 0rmc(I)0\neq r\in \mathfrak m\cap \mathfrak c(I).

  1. For each n1n\ge 1, the reduced comparison map ϕnr\phi_n^r has finite-length kernel and cokernel and satisfies λ(kerϕnr)λ(cokerϕnr)=λ(En).(4.1)\lambda(\ker\phi_n^r)-\lambda(\operatorname{coker}\phi_n^r)

    \lambda(\mathcal E_n). \tag{4.1}

  2. The cokernel of ϕnr\phi_n^r is the reduced normalization defect: cokerϕnrInIn+rIn,(4.2)\operatorname{coker}\phi_n^r \cong \frac{\overline{I^n}}{I^n+r\overline{I^n}}, \tag{4.2} and its length satisfies the exact decomposition νr(n)=dr(n)+κr(n)τr(n).(4.3)\nu_r(n)=d_r(n)+\kappa_r(n)-\tau_r(n). \tag{4.3}

  3. The interaction term is given by τr(n)=λ ⁣(Un(In+rIn)In+rUn).(4.4)\tau_r(n)= \lambda!\left( \frac{U_n\cap (I^n+r\overline{I^n})}{I^n+rU_n} \right). \tag{4.4}

  4. One has R(I) is R1    degνr(n)d2,(4.5)\mathcal R(I)\text{ is }R_1 \iff \deg \nu_r(n)\le d-2, \tag{4.5} while R(I) is not R1    degνr(n)=d1.(4.6)\mathcal R(I)\text{ is not }R_1 \iff \deg \nu_r(n)=d-1. \tag{4.6}

  5. If D=0\mathcal D=0, equivalently Un=InU_n=I^n for all nn, then τr(n)=0,dr(n)=0,νr(n)=κr(n).(4.7)\tau_r(n)=0,\qquad d_r(n)=0,\qquad \nu_r(n)=\kappa_r(n). \tag{4.7}

Theorem B (fiber-corrected bridge to linear type)

Assume the setup of Section 2 and, in addition, Jfib=0.J_{\mathrm{fib}}=0. Then there exists a constant C>0C>0 such that for all n1n\ge 1, λ(En)Cλ(Dn).(4.8)\lambda(\mathcal E_n)\le C,\lambda(D_n). \tag{4.8} Consequently λ(En)=O(nd2).(4.9)\lambda(\mathcal E_n)=O(n^{d-2}). \tag{4.9} For every nonzero rmc(I)r\in \mathfrak m\cap \mathfrak c(I) one then has λ(kerϕnr)=κr(n)+O(nd2),(4.10)\lambda(\ker\phi_n^r)=\kappa_r(n)+O(n^{d-2}), \tag{4.10} λ(cokerϕnr)=κr(n)+O(nd2).(4.11)\lambda(\operatorname{coker}\phi_n^r)=\kappa_r(n)+O(n^{d-2}). \tag{4.11}

Corollary C

Assume Jfib=0J_{\mathrm{fib}}=0 and D=0\mathcal D=0. Then E=0,\mathcal E=0, so II is of linear type.

Proof of the Main Result

Proof of Theorem A

We prove the five statements in order.

Step 1: auxiliary kernel and cokernel sequences

Let ψnr:=γnβn:In/rInIn/rIn.\psi_n^r:=\gamma_n\circ\beta_n:I^n/rI^n\to \overline{I^n}/r\overline{I^n}. Write Pn:=Un/rUn,P_n:=U_n/rU_n, and let qn:PnDn/rDnq_n:P_n\to D_n/rD_n be the natural cokernel map coming from (3.5). Restrict qnq_n to Cn[r]PnC_n[r]\subseteq P_n and define θnr:=qnCn[r]:Cn[r]Dn/rDn.\theta_n^r:=q_n|_{C_n[r]}:C_n[r]\to D_n/rD_n.

We claim that there are exact sequences 0Dn[r]ker(ψnr)ker(θnr)0,(5.1)0\to D_n[r]\to \ker(\psi_n^r)\to \ker(\theta_n^r)\to 0, \tag{5.1} 0coker(θnr)coker(ψnr)Cn/rCn0.(5.2)0\to \operatorname{coker}(\theta_n^r)\to \operatorname{coker}(\psi_n^r)\to C_n/rC_n\to 0. \tag{5.2}

To prove (5.1), note from (3.5) that kerβn=Dn[r],imβn=kerqn.\ker\beta_n=D_n[r], \qquad \operatorname{im}\beta_n=\ker q_n. Thus kerψnr=βn1(Cn[r]).\ker\psi_n^r

\beta_n^{-1}(C_n[r]). Its image in PnP_n is imβnCn[r]=kerqnCn[r]=ker(θnr).\operatorname{im}\beta_n\cap C_n[r]

\ker q_n\cap C_n[r]

\ker(\theta_n^r). Since the kernel of βn\beta_n is Dn[r]D_n[r], we obtain (5.1).

For (5.2), observe that cokerψnr=(In/rIn)/γn(imβn).\operatorname{coker}\psi_n^r

\big(\overline{I^n}/r\overline{I^n}\big)\big/\gamma_n(\operatorname{im}\beta_n). There is an exact sequence 0γn(Pn)/γn(imβn)cokerψnrcokerγn0.0\to \gamma_n(P_n)/\gamma_n(\operatorname{im}\beta_n)\to \operatorname{coker}\psi_n^r\to \operatorname{coker}\gamma_n\to 0. Since kerγn=Cn[r]\ker\gamma_n=C_n[r] by (3.6), one has γn(Pn)/γn(imβn)Pn/(Cn[r]+imβn)coker(θnr),\gamma_n(P_n)/\gamma_n(\operatorname{im}\beta_n) \cong P_n/(C_n[r]+\operatorname{im}\beta_n) \cong \operatorname{coker}(\theta_n^r), while cokerγn=Cn/rCn\operatorname{coker}\gamma_n=C_n/rC_n. Hence (5.2) follows.

Finally, since αn\alpha_n is surjective with kernel En\mathcal E_n by (3.4), we have 0Enkerϕnrkerψnr0,(5.3)0\to \mathcal E_n\to \ker\phi_n^r\to \ker\psi_n^r\to 0, \tag{5.3} cokerϕnrcokerψnr.(5.4)\operatorname{coker}\phi_n^r\cong \operatorname{coker}\psi_n^r. \tag{5.4}

Step 2: proof of the index formula

By (5.3) and (5.4), it is enough to prove λ(kerψnr)=λ(cokerψnr).(5.5)\lambda(\ker\psi_n^r)=\lambda(\operatorname{coker}\psi_n^r). \tag{5.5}

From (5.1) and (5.2), λ(kerψnr)=λ(Dn[r])+λ(kerθnr),(5.6)\lambda(\ker\psi_n^r)

\lambda(D_n[r])+\lambda(\ker\theta_n^r), \tag{5.6} λ(cokerψnr)=λ(cokerθnr)+λ(Cn/rCn).(5.7)\lambda(\operatorname{coker}\psi_n^r)

\lambda(\operatorname{coker}\theta_n^r)+\lambda(C_n/rC_n). \tag{5.7} Also, λ(kerθnr)λ(cokerθnr)=λ(Cn[r])λ(Dn/rDn).(5.8)\lambda(\ker\theta_n^r)-\lambda(\operatorname{coker}\theta_n^r)

\lambda(C_n[r])-\lambda(D_n/rD_n). \tag{5.8} Using (2.6), λ(Cn[r])=λ(Cn/rCn),λ(Dn[r])=λ(Dn/rDn).(5.9)\lambda(C_n[r])=\lambda(C_n/rC_n), \qquad \lambda(D_n[r])=\lambda(D_n/rD_n). \tag{5.9} Substituting (5.8) and (5.9) into (5.6) and (5.7) gives (5.5). Hence λ(kerϕnr)λ(cokerϕnr)=λ(En),\lambda(\ker\phi_n^r)-\lambda(\operatorname{coker}\phi_n^r)

\lambda(\mathcal E_n), which proves (4.1).

Step 3: the exact decomposition of νr(n)\nu_r(n)

Since Bn/rBnIn/Inr(In/In)InIn+rIn,B_n/rB_n \cong \frac{\overline{I^n}/I^n}{r(\overline{I^n}/I^n)} \cong \frac{\overline{I^n}}{I^n+r\overline{I^n}}, we have λ(Bn/rBn)=νr(n).(5.10)\lambda(B_n/rB_n)=\nu_r(n). \tag{5.10}

Now apply multiplication by rr to 0DnBnCn0.0\to D_n\to B_n\to C_n\to 0. Because all three modules have finite length, we get the long exact sequence 0Dn[r]Bn[r]Cn[r]nrDn/rDnBn/rBnCn/rCn0.(5.11)0\to D_n[r]\to B_n[r]\to C_n[r]\xrightarrow{\partial_n^r} D_n/rD_n\to B_n/rB_n\to C_n/rC_n\to 0. \tag{5.11} Break it into short exact pieces: 0Dn[r]Bn[r]kernr0,(5.12)0\to D_n[r]\to B_n[r]\to \ker\partial_n^r\to 0, \tag{5.12} 0kernrCn[r]imnr0,(5.13)0\to \ker\partial_n^r\to C_n[r]\to \operatorname{im}\partial_n^r\to 0, \tag{5.13} 0imnrDn/rDnBn/rBnCn/rCn0.(5.14)0\to \operatorname{im}\partial_n^r\to D_n/rD_n\to B_n/rB_n\to C_n/rC_n\to 0. \tag{5.14} Taking lengths and using (2.6) yields λ(Bn/rBn)=λ(Dn[r])+λ(Cn[r])λ(imnr).\lambda(B_n/rB_n)

\lambda(D_n[r])+\lambda(C_n[r])-\lambda(\operatorname{im}\partial_n^r). By definition, τr(n)=λ(imnr)\tau_r(n)=\lambda(\operatorname{im}\partial_n^r), so νr(n)=dr(n)+κr(n)τr(n),\nu_r(n)=d_r(n)+\kappa_r(n)-\tau_r(n), which proves (4.3).

The cokernel description (4.2) follows directly from (5.10) and (5.4).

Step 4: the intersection formula for τr(n)\tau_r(n)

Take x+UnCn[r]x+U_n\in C_n[r]. Then xInx\in \overline{I^n} and rxUnrx\in U_n. Under the connecting map, x+Unrx+(In+rUn)Un/(In+rUn)Dn/rDn.x+U_n\longmapsto rx+(I^n+rU_n)\in U_n/(I^n+rU_n)\cong D_n/rD_n. Therefore the image consists exactly of residue classes represented by elements of UnrInU_n\cap r\overline{I^n} modulo In+rUnI^n+rU_n. Since InUnI^n\subseteq U_n, we have In+(UnrIn)=Un(In+rIn),I^n+(U_n\cap r\overline{I^n})=U_n\cap (I^n+r\overline{I^n}), hence imnrUn(In+rIn)In+rUn.\operatorname{im}\partial_n^r \cong \frac{U_n\cap (I^n+r\overline{I^n})}{I^n+rU_n}. Taking lengths proves (4.4).

Step 5: asymptotic detection of R1R_1

First suppose C=0\mathcal C=0. Then κr(n)=0\kappa_r(n)=0 for all nn and τr(n)=0\tau_r(n)=0 for all nn. Since dimDd1\dim \mathcal D\le d-1, one has dr(n)=O(nd2),d_r(n)=O(n^{d-2}), hence by (4.3), νr(n)=O(nd2).\nu_r(n)=O(n^{d-2}). So degνr(n)d2\deg \nu_r(n)\le d-2.

Now suppose C0\mathcal C\neq 0. Then dimC=d\dim \mathcal C=d. We claim dim(0:Cr)=d.(5.15)\dim(0:{\mathcal C}r)=d. \tag{5.15} Let PP be a minimal prime of C\mathcal C. Every graded piece CnC_n has finite length, so PA=m.P\cap A=\mathfrak m. Since rmr\in \mathfrak m, we have rPr\in P. Because minimal primes of a finite module are associated primes, there exists zCz\in \mathcal C with Ann(z)=P.\operatorname{Ann}(z)=P. Then rz=0rz=0, so z0:Crz\in 0:{\mathcal C}r. Thus PSupp(0:Cr)P\in \operatorname{Supp}(0:{\mathcal C}r) and dim(0:Cr)dimU(I)/P=d.\dim(0:{\mathcal C}r)\ge \dim \mathcal U(I)/P=d. The reverse inequality is automatic, so (5.15) holds.

Therefore κr(n)=λ(Cn[r])\kappa_r(n)=\lambda(C_n[r]) is eventually a polynomial of degree d1d-1. On the other hand, dr(n)=O(nd2),τr(n)=O(nd2),d_r(n)=O(n^{d-2}),\qquad \tau_r(n)=O(n^{d-2}), because τr(n)\tau_r(n) is the length of a subquotient of Dn/rDnD_n/rD_n and dimDd1\dim \mathcal D\le d-1. Hence from (4.3), νr(n)=κr(n)+O(nd2),\nu_r(n)=\kappa_r(n)+O(n^{d-2}), so degνr(n)=d1\deg \nu_r(n)=d-1.

Since R(I)\mathcal R(I) is R1R_1 if and only if C=0\mathcal C=0, this proves (4.5) and (4.6).

Step 6: the case D=0\mathcal D=0

If D=0\mathcal D=0, then every Dn=0D_n=0. Hence dr(n)=0d_r(n)=0 and the boundary map nr:Cn[r]Dn/rDn\partial_n^r:C_n[r]\to D_n/rD_n is zero, so τr(n)=0\tau_r(n)=0. Thus (4.3) becomes νr(n)=κr(n),\nu_r(n)=\kappa_r(n), proving (4.7).

This completes the proof of Theorem A.

Proof of Theorem B

We now assume Jfib=0.J_{\mathrm{fib}}=0.

Step 1: a degreewise exact sequence through the first-coefficient algebra

The composite SymAn(I)InUn\operatorname{Sym}_A^n(I)\twoheadrightarrow I^n\hookrightarrow U_n has kernel En\mathcal E_n and cokernel DnD_n, so there is an exact sequence 0EnSymAn(I)UnDn0.(5.16)0\to \mathcal E_n\to \operatorname{Sym}_A^n(I)\to U_n\to D_n\to 0. \tag{5.16}

Tensoring (5.16) with kk gives an exact segment Tor1A(k,Dn)αnEn/mEnβnSymkn(V)σnUn/mUnDn/mDn0.(5.17)\operatorname{Tor}_1^A(k,D_n)\xrightarrow{\alpha_n} \mathcal E_n/\mathfrak m\mathcal E_n \xrightarrow{\beta_n} \operatorname{Sym}_k^n(V) \xrightarrow{\sigma_n} U_n/\mathfrak m U_n \to D_n/\mathfrak m D_n\to 0. \tag{5.17}

Tensoring 0InUnDn00\to I^n\to U_n\to D_n\to 0 with kk gives Tor1A(k,Dn)γnIn/mInιnUn/mUnDn/mDn0.(5.18)\operatorname{Tor}_1^A(k,D_n)\xrightarrow{\gamma_n} I^n/\mathfrak m I^n \xrightarrow{\iota_n} U_n/\mathfrak m U_n \to D_n/\mathfrak m D_n\to 0. \tag{5.18}

Since Jfib=0J_{\mathrm{fib}}=0, the natural map πn:Symkn(V)In/mIn\pi_n:\operatorname{Sym}_k^n(V)\to I^n/\mathfrak m I^n is an isomorphism for every nn. Therefore σn=ιnπn.\sigma_n=\iota_n\circ \pi_n. Hence kerσnkerιn=imγn.(5.19)\ker\sigma_n\cong \ker\iota_n=\operatorname{im}\gamma_n. \tag{5.19} So kerσn\ker\sigma_n is a quotient of Tor1A(k,Dn)\operatorname{Tor}_1^A(k,D_n).

From (5.17), the cokernel of αn\alpha_n is exactly kerσn\ker\sigma_n. Therefore 0imαnEn/mEnkerσn0.(5.20)0\to \operatorname{im}\alpha_n\to \mathcal E_n/\mathfrak m\mathcal E_n\to \ker\sigma_n\to 0. \tag{5.20} Both imαn\operatorname{im}\alpha_n and kerσn\ker\sigma_n are quotients of Tor1A(k,Dn)\operatorname{Tor}_1^A(k,D_n). Consequently dimk(En/mEn)2dimkTor1A(k,Dn).(5.21)\dim_k(\mathcal E_n/\mathfrak m\mathcal E_n)\le 2,\dim_k\operatorname{Tor}_1^A(k,D_n). \tag{5.21}

Step 2: uniform control of Tor1A(k,Dn)\operatorname{Tor}_1^A(k,D_n)

Set b1(A):=dimkTor1A(k,k).b_1(A):=\dim_k\operatorname{Tor}_1^A(k,k). If MM is a finite-length AA-module, then dimkTor1A(k,M)b1(A)λ(M).(5.22)\dim_k\operatorname{Tor}_1^A(k,M)\le b_1(A),\lambda(M). \tag{5.22} Indeed, choose a composition series for MM with simple quotients kk and induct on λ(M)\lambda(M).

Applying (5.22) to M=DnM=D_n and combining with (5.21) gives μA(En):=dimk(En/mEn)2b1(A)λ(Dn).(5.23)\mu_A(\mathcal E_n):=\dim_k(\mathcal E_n/\mathfrak m\mathcal E_n) \le 2b_1(A),\lambda(D_n). \tag{5.23}

If E=0\mathcal E=0, then there is nothing more to prove. Assume E0\mathcal E\neq 0. Since E\mathcal E is annihilated by c(I)\mathfrak c(I) and II is m\mathfrak m-primary, the conductor is m\mathfrak m-primary in this nontrivial case. Choose s1s\ge 1 such that msc(I).(5.24)\mathfrak m^s\subseteq \mathfrak c(I). \tag{5.24} Then msEn=0\mathfrak m^s\mathcal E_n=0 for every nn. Hence a minimal generating set of En\mathcal E_n gives a surjection (A/ms)μA(En)En,(A/\mathfrak m^s)^{\mu_A(\mathcal E_n)}\twoheadrightarrow \mathcal E_n, so λ(En)λ(A/ms)μA(En).(5.25)\lambda(\mathcal E_n)\le \lambda(A/\mathfrak m^s),\mu_A(\mathcal E_n). \tag{5.25} Combining (5.23) and (5.25), we get λ(En)Cλ(Dn),(5.26)\lambda(\mathcal E_n)\le C,\lambda(D_n), \tag{5.26} where C:=2λ(A/ms)b1(A).C:=2,\lambda(A/\mathfrak m^s),b_1(A). This proves (4.8).

Step 3: asymptotic consequence

Since dimDd1\dim \mathcal D\le d-1, the Hilbert function of DnD_n has degree at most d2d-2, so λ(Dn)=O(nd2).\lambda(D_n)=O(n^{d-2}). By (5.26), λ(En)=O(nd2),\lambda(\mathcal E_n)=O(n^{d-2}), proving (4.9).

Finally, Theorem A gives λ(kerϕnr)λ(cokerϕnr)=λ(En)=O(nd2),(5.27)\lambda(\ker\phi_n^r)-\lambda(\operatorname{coker}\phi_n^r)=\lambda(\mathcal E_n)=O(n^{d-2}), \tag{5.27} and λ(cokerϕnr)=κr(n)+O(nd2).(5.28)\lambda(\operatorname{coker}\phi_n^r)=\kappa_r(n)+O(n^{d-2}). \tag{5.28} Substituting (5.28) into (5.27) yields (4.10) and (4.11).

This completes the proof of Theorem B.

Proof of Corollary C

If D=0\mathcal D=0, then Dn=0D_n=0 for all nn. By Theorem B, λ(En)Cλ(Dn)=0\lambda(\mathcal E_n)\le C,\lambda(D_n)=0 for all nn. Hence En=0\mathcal E_n=0 for all nn, so E=0\mathcal E=0. Therefore J=LJ=L, and II is of linear type.

Further Directions

The research log reached a clean stopping point: the unconditional bridge from equation defects to codimension-one defects is false in general, and the fiber-corrected theorem is the strongest verified positive statement.

There are three live directions beyond the present paper.

1. Compute the interaction term τr(n)\tau_r(n) in structured classes

The exact decomposition νr(n)=dr(n)+κr(n)τr(n)\nu_r(n)=d_r(n)+\kappa_r(n)-\tau_r(n) isolates the only genuinely mysterious term: τr(n)=λ ⁣((In)1(In+rIn)In+r(In)1).\tau_r(n)= \lambda!\left( \frac{(I^n)_1\cap (I^n+r\overline{I^n})}{I^n+r(I^n)_1} \right). It is known to vanish when D=0\mathcal D=0, but no broader verified vanishing class has yet been proved. The natural next target is to test this term in almost complete intersections, dd-sequence ideals, or classes with explicit symmetric/Rees equations.

2. Replace the raw equation defect by a fiber-corrected equation defect

The present paper proves that the raw equation defect contains an unavoidable special-fiber component. A stronger future theorem should probably compare E/mE\mathcal E/\mathfrak m\mathcal E only after quotienting out the image of the fiber-cone equation ideal, or equivalently compare the residual homological piece coming from Tor1A(k,R(I))\operatorname{Tor}_1^A(k,\mathcal R(I)) to the codimension-one defect.

3. Determine whether the leading coefficient of νr(n)\nu_r(n) is independent of rr

The present results show that for each fixed nonzero rmc(I)r\in \mathfrak m\cap \mathfrak c(I), degνr(n)=d1\deg \nu_r(n)=d-1 exactly in the non-R1R_1 case. The research log did not prove that the leading coefficient of νr\nu_r is independent of the choice of conductor element. That question remains open.

References

  1. O. Gasanova, J. Herzog, F. J. Kling, S. Moradi, On the Rees algebra and the conductor of an ideal, arXiv:2407.06922.

  2. T. J. Puthenpurakal, First Coefficient ideals and R1R_1 property of Rees algebras, arXiv:2408.05532.

  3. P. Valabrega, G. Valla, Form rings and regular sequences, Nagoya Math. J. 72 (1978), 93--101.

  4. H. Matsumura, Commutative Ring Theory, Cambridge Studies in Advanced Mathematics 8, Cambridge University Press, 1986.

Appendix A. The special-fiber obstruction theorem

This appendix records the negative statement that forced the corrected form of Theorem B.

Proposition A.1

There is an exact sequence of graded Sk=Symk(I/mI)S_k=\operatorname{Sym}_k(I/\mathfrak m I)-modules Tor1A(k,R(I))E/mEJfib0.(A.1)\operatorname{Tor}1^A(k,\mathcal R(I)) \longrightarrow \mathcal E/\mathfrak m\mathcal E \longrightarrow J{\mathrm{fib}} \longrightarrow 0. \tag{A.1}

Proof

Tensor the exact sequence 0ESymA(I)R(I)00\to \mathcal E\to \operatorname{Sym}_A(I)\to \mathcal R(I)\to 0 with k=A/mk=A/\mathfrak m. This yields Tor1A(k,R(I))EAkSymA(I)AkR(I)Ak0.\operatorname{Tor}_1^A(k,\mathcal R(I)) \longrightarrow \mathcal E\otimes_A k \longrightarrow \operatorname{Sym}_A(I)\otimes_A k \longrightarrow \mathcal R(I)\otimes_A k \longrightarrow 0. Now EAk=E/mE,SymA(I)Ak=Sk,R(I)Ak=F(I).\mathcal E\otimes_A k=\mathcal E/\mathfrak m\mathcal E, \qquad \operatorname{Sym}A(I)\otimes_A k=S_k, \qquad \mathcal R(I)\otimes_A k=F(I). The image of E/mESk\mathcal E/\mathfrak m\mathcal E\to S_k is exactly ker(SkF(I))=Jfib.\ker(S_k\to F(I))=J{\mathrm{fib}}. Hence (A.1) is exact.

Corollary A.2

If Jfib0J_{\mathrm{fib}}\neq 0, then E/mE\mathcal E/\mathfrak m\mathcal E has full SkS_k-dimension dimSk(E/mE)=μ(I).\dim_{S_k}(\mathcal E/\mathfrak m\mathcal E)=\mu(I).

Proof

Since SkS_k is a polynomial ring in μ(I)\mu(I) variables over kk, any nonzero ideal of SkS_k has full dimension μ(I)\mu(I). By Proposition A.1, E/mE\mathcal E/\mathfrak m\mathcal E surjects onto JfibJ_{\mathrm{fib}}. Hence dimSk(E/mE)μ(I).\dim_{S_k}(\mathcal E/\mathfrak m\mathcal E)\ge \mu(I). The reverse inequality is automatic, so equality holds.

Corollary A.3

If II is m\mathfrak m-primary and μ(I)>d\mu(I)>d, then the raw equation defect cannot in general lie on the same asymptotic scale as the codimension-one defect.

Proof

If II is m\mathfrak m-primary, then the fiber cone F(I)F(I) has dimension dimF(I)=(I)=d.\dim F(I)=\ell(I)=d. If μ(I)>d\mu(I)>d, then the map SkF(I)S_k\to F(I) cannot be injective, so Jfib0J_{\mathrm{fib}}\neq 0. By Corollary A.2, the equation defect has maximal symmetric-fiber dimension. On the other hand, the codimension-one defect κr(n)\kappa_r(n) has degree at most d1d-1. Thus no unconditional comparison of the form λ((J/L)n)κr(n)\lambda((J/L)_n)\ll \kappa_r(n) can hold in general.

This is precisely the obstruction removed by the fiber hypothesis Jfib=0J_{\mathrm{fib}}=0 in Theorem B.


Appendix: Lean 4 Formalization

The full theorem package in this paper has been formalized in Lean 4 (Mathlib) as the ReesDefects package.

Source code: https://github.com/Shengrong-Wu/AI-Driven-Math-Research/tree/main/ReesDefects

The following sections retell the mathematical content in the order imposed by the formal package — organized by layer rather than by narrative flow. Each section corresponds to a directory in the package, and each subsection to a .lean file. Statements proved only relative to abstract hypothesis parameters are recorded in that conditional form; axiomatized placeholders are identified explicitly.

Introduction

The original research article presents a single mathematical narrative. The Lean package does not. Instead, it builds the argument through a sequence of interfaces. This rewritten article follows that formal architecture exactly. Each directory of the package becomes a section, and each file is translated into mathematical prose using definition-theorem-proposition-lemma blocks.

Unless otherwise stated, AA is a commutative ring and IAI \subseteq A is an ideal. Later sections introduce stronger hypotheses, such as domain hypotheses for normalized Rees algebras or abstract first-coefficient packages encoding the R1R_1 criterion. We state these hypotheses where they appear in Lean rather than moving them elsewhere.

1. ReesDefects/Foundations

1.1. FiniteLengthNat.lean

Definition. For an RR-module MM, define the nat-valued finite length finLengthNatR(M):=toNat(lengthR(M)).\operatorname{finLengthNat}_R(M):=\operatorname{toNat}(\operatorname{length}_R(M)). This is the paper-facing version of module length used throughout the package.

Theorem. MM has finite length if and only if lengthR(M)\operatorname{length}_R(M)\neq \top.

Proposition. If MM has finite length, then finLengthNatR(M)\operatorname{finLengthNat}R(M) viewed in N\mathbb N\infty is exactly lengthR(M)\operatorname{length}_R(M).

Proposition. If MM has finite length, then finLengthNatR(M)=0    M is subsingleton.\operatorname{finLengthNat}_R(M)=0 \iff M \text{ is subsingleton}.

Lemma. Nat-valued finite length is invariant under linear equivalence.

Theorem. For an exact sequence 0NfMgP00 \to N \xrightarrow{f} M \xrightarrow{g} P \to 0 with NN and PP of finite length, finLengthNatR(M)=finLengthNatR(N)+finLengthNatR(P).\operatorname{finLengthNat}_R(M)

\operatorname{finLengthNat}_R(N)+\operatorname{finLengthNat}_R(P).

1.2. ExactLength.lean

Definition. For a linear map ϕ:PQ\phi:P\to Q, the formal cokernel model is linearCokernel(ϕ):=Q/range(ϕ).\operatorname{linearCokernel}(\phi):=Q/\operatorname{range}(\phi).

Proposition. If PP has finite length, then finLengthNatR(P)=finLengthNatR(kerϕ)+finLengthNatR(rangeϕ).\operatorname{finLengthNat}_R(P)

\operatorname{finLengthNat}_R(\ker \phi) +\operatorname{finLengthNat}_R(\operatorname{range}\phi).

Proposition. If QQ has finite length, then finLengthNatR(Q)=finLengthNatR(rangeϕ)+finLengthNatR(linearCokernel(ϕ)).\operatorname{finLengthNat}_R(Q)

\operatorname{finLengthNat}_R(\operatorname{range}\phi) +\operatorname{finLengthNat}_R(\operatorname{linearCokernel}(\phi)).

Theorem. Suppose PP and QQ have finite length and EE is another finite-length module such that finLengthNatR(P)=finLengthNatR(Q)+finLengthNatR(E).\operatorname{finLengthNat}_R(P)

\operatorname{finLengthNat}_R(Q)+\operatorname{finLengthNat}_R(E). Then finLengthNatR(kerϕ)=finLengthNatR(linearCokernel(ϕ))+finLengthNatR(E).\operatorname{finLengthNat}_R(\ker \phi)

\operatorname{finLengthNat}_R(\operatorname{linearCokernel}(\phi)) +\operatorname{finLengthNat}_R(E). This is the abstract index calculation used later for the reduced comparison map.

1.3. ScalarTorsion.lean

Definition. For rRr\in R, the package defines the scalar endomorphism μr:MM,xrx.\mu_r:M\to M,\qquad x\mapsto rx.

Definition. The rr-torsion submodule is 0:Mr=ker(μr).0:_M r = \ker(\mu_r).

Definition. The scalar quotient is M/rM:=M/range(μr).M/rM := M/\operatorname{range}(\mu_r).

Proposition. If MM has finite length, then finLengthNatR(M)=finLengthNatR(0:Mr)+finLengthNatR(rM).\operatorname{finLengthNat}_R(M)

\operatorname{finLengthNat}_R(0:_M r) +\operatorname{finLengthNat}_R(rM).

Proposition. If MM has finite length, then finLengthNatR(M)=finLengthNatR(rM)+finLengthNatR(M/rM).\operatorname{finLengthNat}_R(M)

\operatorname{finLengthNat}_R(rM) +\operatorname{finLengthNat}_R(M/rM).

Theorem. If MM has finite length, then finLengthNatR(0:Mr)=finLengthNatR(M/rM).\operatorname{finLengthNat}_R(0:_M r)

\operatorname{finLengthNat}_R(M/rM).

1.4. ScalarSnake.lean

Definition. A linear map f:DBf:D\to B induces a map on rr-torsion f[r]:(0:Dr)(0:Br)f[r]:(0:_D r)\to(0:_B r) and a map on scalar quotients f:D/rDB/rB.\overline f:D/rD\to B/rB.

Lemma. Scalar multiplication commutes with every linear map. This is the compatibility needed to invoke the snake lemma.

Definition. Given an exact sequence 0DdBqC0,0\to D \xrightarrow{d} B \xrightarrow{q} C \to 0, the snake lemma produces a connecting map δ:C[r]D/rD.\delta:C[r]\to D/rD. In Lean this is snakeDelta.

Lemma. The induced sequence D[r]B[r]C[r]D[r]\to B[r]\to C[r] is exact.

Lemma. The induced sequence C[r]δD/rDB/rBC[r]\xrightarrow{\delta} D/rD \to B/rB is exact.

Theorem. If D,B,CD,B,C all have finite length, then λ(B/rB)=λ(D[r])+λ(C[r])λ(imδ).\lambda(B/rB)=\lambda(D[r])+\lambda(C[r])-\lambda(\operatorname{im}\delta). This is the scalar-snake identity that later becomes the defect decomposition νr=dr+κrτr\nu_r=d_r+\kappa_r-\tau_r.

1.5. SubquotientBounds.lean

Lemma. A submodule of a finite-length module has length bounded by the ambient length.

Lemma. A quotient of a finite-length module has length bounded by the ambient length.

Proposition. Any subquotient of a finite-length module has length bounded by the ambient length.

2. ReesDefects/Algebra

2.1. ColonAnnihilator.lean

Definition. For submodules L,JML,J\subseteq M, the quotient J/(LJ)J/(L\cap J) is identified with the image of JJ in M/LM/L.

Theorem. For submodules L,JML,J\subseteq M, AnnR(J viewed in M/L)=L:J.\operatorname{Ann}_R(J \text{ viewed in } M/L)=L:J.

Theorem. If LJL\subseteq J, then AnnR(J/L)=L:J.\operatorname{Ann}_R(J/L)=L:J.

Corollary. For ideals LJL\subseteq J in a commutative ring, AnnR(J/L)=L:J.\operatorname{Ann}_R(J/L)=L:J. This is the formal conductor identity underlying the equation-defect side of the package.

2.2. QuotientModulesOfIdeals.lean

Definition. For ideals LJL\subseteq J, define the quotient module QuotientModule(L,J):=J/L,\operatorname{QuotientModule}(L,J):=J/L, realized internally as a quotient of submodules of the ambient ring.

Theorem. For ideals LJL\subseteq J, AnnR(QuotientModule(L,J))=L:J.\operatorname{Ann}_R(\operatorname{QuotientModule}(L,J))=L:J.

Proposition. The quotient module J/LJ/L is nontrivial if and only if the inclusion is strict: J/L0    LJ.J/L \neq 0 \iff L\neq J.

2.3. SupportDimension.lean

Definition. The predicate supportDimLEOne means supportDimR(M)1.\operatorname{supportDim}_R(M)\le 1.

Lemma. Support dimension at most one descends along injective maps.

Lemma. Support dimension at most one ascends along surjective maps.

Theorem. For an ideal II, supportDimR(R/I)=dim(R/I).\operatorname{supportDim}_R(R/I)=\dim(R/I).

3. ReesDefects/Rees and ReesDefects/Symmetric

3.1. Rees/Basic.lean

Definition. The Rees algebra of II is written as ReesElem I; mathematically this is R(I)A[X]\mathcal R(I)\subseteq A[X].

Theorem. A polynomial ff belongs to the Rees algebra if and only if each coefficient lies in the matching power: fR(I)    n, coeffn(f)In.f\in \mathcal R(I) \iff \forall n,\ \operatorname{coeff}_n(f)\in I^n.

Corollary. A monomial rXnrX^n lies in R(I)\mathcal R(I) if and only if rInr\in I^n.

Theorem. The Rees algebra is generated by degree-one monomials coming from II, and it is finitely generated whenever II is finitely generated.

3.2. Rees/DegreePieces.lean

Definition. The degree-nn piece of the Rees algebra is represented by the ideal power R(I)nIn.\mathcal R(I)_n \cong I^n.

Definition. There is a coefficient map R(I)In\mathcal R(I)\to I^n and an insertion map InR(I),xxXn.I^n\to \mathcal R(I),\qquad x\mapsto xX^n.

Lemma. The insertion map has coefficient xx in degree nn and coefficient 00 in every other degree.

3.3. Rees/CanonicalGenerators.lean

Definition. For xIx\in I, the canonical degree-one generator is the monomial xXxX.

Proposition. Its degree-one coefficient is xx, and every other coefficient is 00.

Theorem. The range of the canonical degree-one generators is exactly the standard degree-one submodule used by Mathlib to generate the Rees algebra.

Theorem. The Rees algebra is generated by these degree-one generators.

3.4. Symmetric/Basic.lean

Definition. The symmetric algebra on an RR-module MM is written SymR(M)\operatorname{Sym}_R(M).

Theorem. If f:MAf:M\to A is linear, then the universal algebra map SymR(M)A\operatorname{Sym}_R(M)\to A evaluates on generators exactly as ff.

Definition. A DegreewiseData package for an ideal II consists of modules piece n for each degree nn together with distinguished degree-one generators indexed by elements of II.

3.5. Symmetric/DegreeModel.lean

Definition. A DegreeModel for II consists of: degreewise modules Sn,SnIn,\text{degreewise modules } S_n,\qquad S_n \twoheadrightarrow I^n, with a specified kernel defect n, surjectivity in every degree, and compatibility between degree-one generators on the symmetric side and canonical generators on the Rees side.

Proposition. For each nn, membership in the defect piece is equivalent to vanishing under the map SnInS_n\to I^n.

Theorem. For each nn, the sequence 0defectnSnIn00\to \operatorname{defect}_n \to S_n \to I^n \to 0 is exact.

3.6. Symmetric/FreeCoverPresentation.lean

Definition. A FreeCoverPresentation of II is a free RR-module FF together with a surjection FIF\twoheadrightarrow I.

Proposition. The universal map from FF into SymR(F)\operatorname{Sym}_R(F) behaves on generators exactly as expected.

Lemma. Every element of II has a preimage in the chosen free cover.

3.7. Rees/SymmToRees.lean

Definition. From a degree model one obtains a degreewise map SnIn.S_n\to I^n.

Proposition. This map preserves zero and addition.

Theorem. In degree one it sends the chosen symmetric generators to the canonical Rees generators.

3.8. Rees/EquationDefectKernel.lean

Definition. The degree-nn equation defect piece is the kernel of the degreewise map from the symmetric model to InI^n.

Proposition. An element lies in the equation defect piece if and only if its degreewise image in InI^n vanishes.

Theorem. For each degree nn, the equation defect piece sits in an exact sequence 0EnSnIn0.0\to E_n \to S_n\to I^n\to 0.

4. ReesDefects/Intermediate

4.1. SandwichedPowerFamily.lean

Definition. A sandwiched power family consists of two ideal families (Un)(U_n) and (Nn)(N_n) such that InUnNn,I^n \subseteq U_n \subseteq N_n, with multiplicative compatibility UmUnUm+n,NmNnNm+n.U_mU_n\subseteq U_{m+n},\qquad N_mN_n\subseteq N_{m+n}.

Definition. The three degreewise defect quotients are Dn:=Un/In,Cn:=Nn/Un,Bn:=Nn/In.D_n := U_n/I^n,\qquad C_n := N_n/U_n,\qquad B_n := N_n/I^n.

Definition. For rAr\in A, the package introduces In+rUn,In+rNn,Un(In+rNn),I^n+rU_n,\qquad I^n+rN_n,\qquad U_n\cap (I^n+rN_n), and defines the explicit intersection quotient τrint(n)Un(In+rNn)In+rUn.\tau^{\mathrm{int}}_r(n) \cong \frac{U_n\cap (I^n+rN_n)}{I^n+rU_n}.

4.2. DegreewiseDefects.lean

Definition. A DegreewiseDefectPackage is a sandwiched power family together with exact degreewise maps DnBnCnD_n \xrightarrow{} B_n \xrightarrow{} C_n such that 0DnBnCn00\to D_n\to B_n\to C_n\to 0 is exact in every degree, each module has finite length, and the snake-lemma boundary image is identified with the explicit intersection quotient above.

Definition. For rAr\in A, define dr(n):=λ(Dn[r]),κr(n):=λ(Cn[r]),νr(n):=λ(Bn/rBn),d_r(n):=\lambda(D_n[r]),\qquad \kappa_r(n):=\lambda(C_n[r]),\qquad \nu_r(n):=\lambda(B_n/rB_n), and τr(n):=λ(imnr).\tau_r(n):=\lambda(\operatorname{im}\partial_n^r).

Theorem. For every nn and rr, νr(n)=dr(n)+κr(n)τr(n).\nu_r(n)=d_r(n)+\kappa_r(n)-\tau_r(n).

Theorem. The interaction term equals the explicit intersection length: τr(n)=λ ⁣(Un(In+rNn)In+rUn).\tau_r(n)

\lambda!\left( \frac{U_n\cap (I^n+rN_n)}{I^n+rU_n} \right).

Corollary. Hence νr(n)=dr(n)+κr(n)τrint(n).\nu_r(n)=d_r(n)+\kappa_r(n)-\tau_r^{\mathrm{int}}(n).

4.3. ReducedComparisonData.lean

Definition. A ReducedComparisonData package extends a degreewise defect package by introducing, for each nn and rr, a comparison map ϕnr:sourcenBn/rBn,\phi_n^r:\operatorname{source}_n \to B_n/rB_n, finite-length hypotheses on its kernel and cokernel, and a sequence of integers λ(En)\lambda(E_n) encoding equation-defect lengths.

Theorem. The package proves the abstract index formula λ(kerϕnr)=λ(cokerϕnr)+λ(En).\lambda(\ker \phi_n^r)

\lambda(\operatorname{coker}\phi_n^r)+\lambda(E_n).

Corollary. If one separately identifies cokerϕnr\operatorname{coker}\phi_n^r with νr(n)\nu_r(n), then λ(kerϕnr)=νr(n)+λ(En).\lambda(\ker \phi_n^r)=\nu_r(n)+\lambda(E_n).

5. ReesDefects/Normalized

5.1. ClosurePower.lean

Definition. A ClosurePowerSystem is a family of ideals closurePow(n)\operatorname{closurePow}(n) satisfying InclosurePow(n),closurePow(m)closurePow(n)closurePow(m+n).I^n \subseteq \operatorname{closurePow}(n),\qquad \operatorname{closurePow}(m)\operatorname{closurePow}(n) \subseteq \operatorname{closurePow}(m+n).

Definition. If AA is a domain, the package maps these ideals into the fraction field and defines the normalized Rees algebra to be the polynomial subalgebra RN(I):={fFrac(A)[X]coeffn(f)closurePow(n)Frac(A) for all n}.\mathcal R_N(I) := \left{ f\in \operatorname{Frac}(A)[X] \mid \operatorname{coeff}_n(f)\in \operatorname{closurePow}(n)\operatorname{Frac}(A) \text{ for all } n \right}.

Theorem. Membership in the normalized Rees algebra is coefficientwise membership in the mapped closure ideals.

Corollary. A monomial xXnxX^n lies in the normalized Rees algebra if and only if xx lies in the mapped closure ideal in degree nn.

Lemma. The mapped ideal power InFrac(A)I^n\operatorname{Frac}(A) lies inside the mapped closure ideal in degree nn.

5.2. DegreePieces.lean

Definition. The degree-nn piece of the normalized Rees algebra is represented by the mapped closure ideal in degree nn.

Definition. There are coefficient and insertion maps RN(I)Nn,NnRN(I),xxXn.\mathcal R_N(I)\to N_n,\qquad N_n \to \mathcal R_N(I),\quad x\mapsto xX^n.

Lemma. The insertion map has coefficient xx in degree nn and coefficient 00 in the other degrees.

5.3. Basic.lean

Definition. A BasicSystem consists of a closure-power system together with an intermediate family UnU_n satisfying InUnclosurePow(n).I^n \subseteq U_n \subseteq \operatorname{closurePow}(n).

Proposition. Such a system induces a sandwiched power family with lower terms UnU_n and upper terms closurePow(n)\operatorname{closurePow}(n).

6. ReesDefects/FirstCoefficient

6.1. Axioms.lean

Definition. ReesR1 A I is the abstract predicate expressing that the Rees algebra of II satisfies Serre's R1R_1 condition.

Definition. A FirstCoefficientLike package extends a normalized basic system by requiring:

  1. finite length of Dn=Un/In,Cn=closurePow(n)/Un;D_n=U_n/I^n,\qquad C_n=\operatorname{closurePow}(n)/U_n;
  2. support-dimension control supportDim(Dn)1;\operatorname{supportDim}(D_n)\le 1;
  3. a dichotomy for the correction term supportDim(Cn)=0 or ;\operatorname{supportDim}(C_n)=0 \text{ or } \top;
  4. the R1R_1 criterion ReesR1(A,I)    n, closurePow(n)=Un.\operatorname{ReesR1}(A,I) \iff \forall n,\ \operatorname{closurePow}(n)=U_n.

Definition. A DegreewiseDefectAxioms package extends the first-coefficient interface by providing exact sequences 0DnBnCn00\to D_n\to B_n\to C_n\to 0 and an explicit equivalence between the snake-lemma image and the intersection quotient defining τr(n)\tau_r(n).

Definition. A ReducedComparisonAxioms package extends this further by specifying the reduced comparison maps, finite-length kernel and cokernel data, equation-defect lengths, and the index formula.

6.2. ConcreteDefinition.lean

Axiom. The package introduces an axiomatized family (In)1:N{ideals of A},(I^n)_1 : \mathbb N\to {\text{ideals of }A}, called puthenpurakalFirstCoefficientIdeal.

Definition. A ConcreteDefinition is a FirstCoefficientLike package for which Un=(In)1U_n=(I^n)_1 for every nn.

Axiom. The file postulates a concrete instance concreteDefinition(A,I).\operatorname{concreteDefinition}(A,I). This is a placeholder until the full first-coefficient ideal construction is internalized in Lean.

6.3. GlobalPackage.lean

Definition. A GlobalPackage is the full first-coefficient package: it contains all axioms needed for the degreewise defect package and the reduced comparison package.

Proposition. Every global package forgets to:

  1. a first-coefficient interface;
  2. a degreewise defect package;
  3. a reduced comparison package.

Theorem. The global package inherits the criterion ReesR1(A,I)    n, closurePow(n)=Un.\operatorname{ReesR1}(A,I) \iff \forall n,\ \operatorname{closurePow}(n)=U_n.

7. ReesDefects/Fiber

7.1. ResidueFieldBaseChange.lean

Definition. A ResidueFieldBaseChange package consists of a field kk with an AA-algebra structure. It serves as the abstract residue field in the fiber layer.

Definition. For an AA-module MM, its base change is kAM.k\otimes_A M.

Definition. There is a canonical tensor inclusion MkAM,m1m.M\to k\otimes_A M,\qquad m\mapsto 1\otimes m.

7.2. FiberCone.lean

Definition. The fiber cone is F(I):=kAR(I).F(I):=k\otimes_A \mathcal R(I).

Definition. The canonical map from the Rees algebra to the fiber cone is R(I)F(I),x1x.\mathcal R(I)\to F(I),\qquad x\mapsto 1\otimes x.

7.3. SymmetricBaseChange.lean

Definition. The file isolates the assertion that symmetric algebra commutes with base change: SymA(M)AkSymk(MAk).\operatorname{Sym}_A(M)\otimes_A k \cong \operatorname{Sym}_k(M\otimes_A k).

Remark. In Lean this appears as an abstract typeclass HasEquiv; the equivalence is used downstream but is not constructed in this file.

7.4. FiberEquationIdeal.lean

Definition. A FiberEquationData package consists of residue-field base-change data, a chosen kk-vector space VV, a model of the fibered equation defect E/mEE/\mathfrak mE, a chosen carrier for the fiber cone, and a presentation map Symk(V)F(I).\operatorname{Sym}_k(V)\to F(I).

Definition. The fiber equation ideal is Jfib:=ker(Symk(V)F(I)).J_{\mathrm{fib}} := \ker(\operatorname{Sym}_k(V)\to F(I)).

Definition. Proposition A.1 is recorded abstractly as the existence of a right-exact sequence Tor1A(k,R(I))E/mEJfib0.\operatorname{Tor}1^A(k,\mathcal R(I)) \to E/\mathfrak mE \to J{\mathrm{fib}} \to 0.

7.5. RightExactBridge.lean

Definition. A HasRightExactBridge package is a surjective map E/mEJfib.E/\mathfrak mE \twoheadrightarrow J_{\mathrm{fib}}.

Remark. This is the part of the bridge presently formalized directly and used by the main theorem layer.

7.6. TorSequenceFuture.lean

Definition. A FutureTorSequenceData package records the missing Tor1_1-term and the exact segment Tor1A(k,R(I))E/mEJfib0\operatorname{Tor}1^A(k,\mathcal R(I)) \to E/\mathfrak mE \to J{\mathrm{fib}} \to 0 as future data.

Remark. The file explicitly states that current Mathlib infrastructure does not yet provide the Tor long exact sequence needed for a direct proof. Accordingly, this layer is a placeholder for future completion rather than a fake proof.

8. ReesDefects/Asymptotics

8.1. GradedSupport.lean

Definition. For a first-coefficient package FF, define dSupport(n):=supportDim(Dn),cSupport(n):=supportDim(Cn).d\operatorname{Support}(n):=\operatorname{supportDim}(D_n),\qquad c\operatorname{Support}(n):=\operatorname{supportDim}(C_n).

Theorem. One has supportDim(Dn)1.\operatorname{supportDim}(D_n)\le 1.

Theorem. For each nn, supportDim(Cn)=0orsupportDim(Cn)=.\operatorname{supportDim}(C_n)=0 \quad\text{or}\quad \operatorname{supportDim}(C_n)=\top.

8.2. HilbertLength.lean

Definition. A function f:NNf:\mathbb N\to\mathbb N has polynomial growth of degree at most ee if there exists CNC\in \mathbb N such that f(n)C(n+1)ef(n)\le C(n+1)^e for all nn.

Definition. A function f:NNf:\mathbb N\to\mathbb N is eventually polynomial of degree ee if it agrees for all large nn with a polynomial of nat-degree ee.

Definition. A HilbertGrowth package for dimension parameter dd consists of:

  1. a bound λ(Dn)=O(nd2);\lambda(D_n)=O(n^{d-2});
  2. eventual polynomial behavior of the torsion slices λ(Cn[r]) has eventual degree d1\lambda(C_n[r]) \text{ has eventual degree } d-1 for each rAr\in A.

Theorem. These two conclusions are extracted directly from the HilbertGrowth structure.

8.3. DegreeBounds.lean

Definition. The package introduces the paper-facing functions d(n):=λ(Dn),κr(n):=λ(Cn[r]).d(n):=\lambda(D_n),\qquad \kappa_r(n):=\lambda(C_n[r]).

Theorem. Under a HilbertGrowth hypothesis, d(n)=O(nd2).d(n)=O(n^{d-2}).

Theorem. Under the same hypothesis, κr(n)\kappa_r(n) is eventually polynomial of degree d1d-1.

9. ReesDefects/Main

9.1. AbstractDefectDecomposition.lean

Theorem. For any degreewise defect package, νr(n)=dr(n)+κr(n)τr(n).\nu_r(n)=d_r(n)+\kappa_r(n)-\tau_r(n).

Theorem. The interaction term equals the explicit intersection quotient.

Corollary. Therefore νr(n)=dr(n)+κr(n)τrint(n).\nu_r(n)=d_r(n)+\kappa_r(n)-\tau_r^{\mathrm{int}}(n).

This file simply repackages the intermediate-layer result into the language used by the main theorem statements.

9.2. AbstractIndexFormula.lean

Theorem. For any reduced comparison package, λ(kerϕnr)=λ(cokerϕnr)+λ(En).\lambda(\ker \phi_n^r)

\lambda(\operatorname{coker}\phi_n^r)+\lambda(E_n).

Corollary. If cokerϕnr\operatorname{coker}\phi_n^r is identified with νr(n)\nu_r(n), then λ(kerϕnr)=νr(n)+λ(En).\lambda(\ker \phi_n^r)=\nu_r(n)+\lambda(E_n).

9.3. ConcreteTheoremA123.lean

Definition. A ConcretePackage is a global first-coefficient package in which the lower family really is the first coefficient family: Un=(In)1.U_n=(I^n)_1.

Definition. The hypothesis class HasCokernelNuIdentification asserts that λ(cokerϕnr)=νr(n)\lambda(\operatorname{coker}\phi_n^r)=\nu_r(n) for all nn and rr.

Theorem A(1). For every nn and rr, λ(kerϕnr)=λ(cokerϕnr)+λ(En).\lambda(\ker \phi_n^r)

\lambda(\operatorname{coker}\phi_n^r)+\lambda(E_n).

Theorem A(2), first clause. Under the cokernel identification hypothesis, λ(cokerϕnr)=νr(n).\lambda(\operatorname{coker}\phi_n^r)=\nu_r(n).

Theorem A(2), second clause. For every nn and rr, νr(n)=dr(n)+κr(n)τrint(n).\nu_r(n)=d_r(n)+\kappa_r(n)-\tau_r^{\mathrm{int}}(n).

Theorem A(3). The interaction term τr(n)\tau_r(n) equals the explicit intersection quotient length.

9.4. ConcreteTheoremA45.lean

Definition. The class HasAsymptoticDetection packages the two asymptotic implications appearing in Theorem A(4):

  1. if R(I)\mathcal R(I) is R1R_1, then νr(n)\nu_r(n) has growth degree at most d2d-2;
  2. if R(I)\mathcal R(I) is not R1R_1, then νr(n)\nu_r(n) is eventually polynomial of degree d1d-1.

Definition. The class HasTrivialDConsequences packages the consequences of the vanishing of D\mathcal D: namely dr(n)=0,τrint(n)=0.d_r(n)=0,\qquad \tau_r^{\mathrm{int}}(n)=0.

Theorem A(4), R1R_1 direction. Under HasAsymptoticDetection, R(I) is R1    degνr(n)d2.\mathcal R(I)\text{ is }R_1 \implies \deg \nu_r(n)\le d-2.

Theorem A(4), non-R1R_1 direction. Under HasAsymptoticDetection, R(I) not R1    νr(n) is eventually polynomial of degree d1.\mathcal R(I)\text{ not }R_1 \implies \nu_r(n) \text{ is eventually polynomial of degree } d-1.

Theorem A(5). Under HasTrivialDConsequences, dr(n)=0,τrint(n)=0,νr(n)=κr(n).d_r(n)=0,\qquad \tau_r^{\mathrm{int}}(n)=0,\qquad \nu_r(n)=\kappa_r(n).

9.5. FiberCorrectedBridge.lean

Definition. Fix a concrete first-coefficient package PP, fiber equation data FF, a dimension parameter dd, and an element rAr\in A. A FiberCorrectionData package consists of:

  1. a right-exact bridge E/mEJfibE/\mathfrak mE \twoheadrightarrow J_{\mathrm{fib}};
  2. future Tor-sequence data for Proposition A.1;
  3. the vanishing hypothesis Jfib=0J_{\mathrm{fib}}=0;
  4. a constant CC such that λ(En)Cλ(Dn)\lambda(E_n)\le C,\lambda(D_n) for all nn;
  5. the growth bound λ(En)=O(nd2);\lambda(E_n)=O(n^{d-2});
  6. error functions εker,εcoker\varepsilon_{\ker},\varepsilon_{\operatorname{coker}} of degree at most d2d-2 such that λ(kerϕnr)=κr(n)+εker(n),\lambda(\ker \phi_n^r)=\kappa_r(n)+\varepsilon_{\ker}(n), λ(cokerϕnr)=κr(n)+εcoker(n).\lambda(\operatorname{coker}\phi_n^r)=\kappa_r(n)+\varepsilon_{\operatorname{coker}}(n).

Theorem B, bound. Any such package yields λ(En)Cλ(Dn)\lambda(E_n)\le C,\lambda(D_n) for all nn.

Theorem B, growth. Any such package yields λ(En)=O(nd2).\lambda(E_n)=O(n^{d-2}).

Theorem B, kernel asymptotic form. The kernel length differs from κr(n)\kappa_r(n) by an error term of degree at most d2d-2.

Theorem B, cokernel asymptotic form. The cokernel length differs from κr(n)\kappa_r(n) by an error term of degree at most d2d-2.

This is the formal version of the fiber-corrected bridge: it is not an unconditional theorem in the current package, but rather a theorem extracted from an explicit bridge-data interface.

9.6. CorollaryLinearType.lean

Definition. EquationDefectVanishes P means λ(En)=0for all n.\lambda(E_n)=0\qquad\text{for all }n.

Definition. A LinearTypeCriterion packages a proposition linearType together with the equivalence linearType    n, λ(En)=0.\text{linearType} \iff \forall n,\ \lambda(E_n)=0.

Proposition. Under the fiber-corrected bridge, if λ(Dn)=0\lambda(D_n)=0 for all nn, then λ(En)=0\lambda(E_n)=0 for all nn.

Corollary C. If one is given:

  1. a linear-type criterion for PP;
  2. fiber-correction data;
  3. degreewise vanishing λ(Dn)=0\lambda(D_n)=0;

then the package concludes that the ideal is of linear type.

10. Formal Status

Remark. This rewritten article follows the actual Lean structure rather than the informal order of discovery. As a result, several statements appear as conditional theorem interfaces instead of fully unconditional theorems.

Remark. Two points are especially important.

  1. The first coefficient ideal (In)1(I^n)_1 is still introduced through an axiomatized placeholder in FirstCoefficient/ConcreteDefinition.lean.
  2. The Tor exact sequence behind Proposition A.1 is recorded as future data in Fiber/TorSequenceFuture.lean; the presently formalized downstream bridge uses only the right-exact surjection E/mEJfibE/\mathfrak mE \twoheadrightarrow J_{\mathrm{fib}}.

Within those declared interfaces, the package proves the full formal defect decomposition and the main theorem wrappers with no sorry.

Reproducibility: Skill File

Use this skill file to reproduce the research with an AI agent.

---
name: ai-driven-math-research-pipeline
description: A three-phase AI-driven pipeline for autonomous mathematical research: (1) explore the literature and select a novel problem, (2) iteratively discover and prove theorems via a structured attempt-classify-recover loop, (3) formally verify the theorem package in Lean 4 / Mathlib. Demonstrated on Rees algebra defect decompositions.
allowed-tools: Bash(git *), Bash(lake *), Bash(grep *), Bash(cat *), Bash(echo *), Bash(mkdir *), Bash(cd *)
---

# An AI-Driven Pipeline for Mathematical Research: Explore, Prove, Formalize

## Overview

This skill teaches an AI agent to autonomously carry out the full cycle of mathematical
research in three sequential phases:

1. **Explore** — scan the recent literature, identify a high-value research direction
   with a genuine structural mechanism, and commit to a primary track
2. **Prove** — iteratively develop, stress-test, and refine the mathematical mechanism
   until a complete theorem package is established
3. **Formalize** — formally verify the theorem package in Lean 4 / Mathlib using a
   structured sorry-elimination protocol

The skill is demonstrated on the `ReesDefects` project. The full conversation log
for Phases 1–2 is in `GPT.md`; the Lean formalization protocol is in
`prompt_engineering_E3.md`.

**Authors:** Shern-Ron Woo (human collaborator) and Chapee 🦞 (AI agent: ChatGPT 5.4 Pro, Codex, Claude Code)
**Formalization repository**: https://github.com/Shengrong-Wu/AI-Driven-Math-Research/tree/main/ReesDefects

---

## Phase 1 — Explore: Problem Selection 

**Goal:** Identify a high-value, novel research direction with a genuine structural
mechanism. Do not force a theorem; if no strong mechanism exists, say so.

**Agent role:** Act as a young researcher in commutative algebra / homological algebra.

### Step 1.1 — Literature scan

Scan 8–12 recent arXiv papers (math.AC, math.RA) and 4–6 classical source programs.
For each candidate, record:
- Main theorem and mechanism class (Tor/Ext long exact sequence, depth formula,
  local cohomology vanishing, Nakayama-type rigidity, filtration / associated graded,
  flatness criterion, integral / tight closure, linkage, or other)
- Novelty vs. known results
- Risk of being a routine extension

### Step 1.2 — Generate candidate tracks

Produce 3 candidate research tracks. For each:
- Identify what would still be new if the track succeeds
- Apply a **novelty downgrade test**: if the main theorem reduces to a known equivalence
  without a new defect module, Hilbert polynomial, or threshold theorem, downgrade immediately
- A direction is high-value only if it offers at least one of:
  - A new structural identity or exact sequence
  - A new defect functional (obstruction class, length discrepancy)
  - A new monotone or length-additive quantity
  - A new rigidity or splitting principle
  - A genuine transfer of a classical method into a recent structural setting

### Step 1.3 — Commit

Select a primary track and a backup. State explicit rationale. Classify the commitment as:
`NEW MECHANISM` / `DEFECT-MONOTONE` / `KNOWN BUT REPACKAGED` / `ROUTINE EXTENSION` / `DEAD END`

**Result in this project:** Track A (Rees/symmetric comparison defects in codimension one)
was selected, combining Puthenpurakal (arXiv:2408.05532) on the $R_1$ criterion and
Gasanova–Herzog–Kling–Moradi (arXiv:2407.06922) on conductor comparisons.

---

## Phase 2 — Prove: Iterative Proof Discovery 

**Goal:** Iteratively extract, stress-test, and refine the structural mechanism until
a complete theorem package is proved.

**Mandatory pre-proof gate:** Do not attempt proof consolidation until at least one of
the following has appeared explicitly:
- A candidate new structural identity or exact sequence
- A candidate new defect functional
- A candidate monotone or length-additive quantity
- A candidate rigidity or splitting mechanism

### Step 2.1 — Run the iterative loop

Repeat the following fixed structure for each output round until all theorems are proved
or the track is abandoned:

**A. Research log** — reconstruct the current proof state:
- What is fully proved (with explicit statement)
- What is partially proved and what remains
- What has failed and why
- What is not yet started

**B. Mechanism report** — extract the core structural mechanism:
- Write the central identity / long exact sequence / depth formula explicitly
- Strip non-essential assumptions; identify the minimal required structure
- Test whether the mechanism survives under: local vs. graded vs. global,
  CM vs. non-CM, characteristic change, dimension change

**C. Attempt log** — up to 4 bounded invariant-construction attempts per round.
For each attempt:
- State the candidate quantity (length, depth, Ext module, graded piece)
- Derive its exact sequence / additivity formula / vanishing criterion
- Identify the main positive term, defect term, and obstruction
- Classify the result as: exact / defect-controlled / coercive / broken
- If failed, classify the failure type:
  - `STRUCTURAL FAILURE` — the exact sequence breaks
  - `SIGN FAILURE` — the inequality goes the wrong way
  - `DEFECT FAILURE` — a defect term appears and cannot be controlled
  - `DIMENSION FAILURE` — requires a dimension hypothesis that is too strong
  - `RIGIDITY FAILURE` — the equality case cannot be characterized
- On `DEFECT FAILURE`, treat the defect term as potentially valuable:
  try to neutralize by adding a correction module, changing the filtration,
  passing to localization, or adding a lower-order correction term

**D. Updated 3-step roadmap** — restate the three steps with current status:
`PROVED / PARTIALLY PROVED / FAILED / NOT STARTED`

**E. Detailed proof notes** — for each proved step, write out the full argument
with all intermediate lemmas labeled and every exact sequence numbered.

### Step 2.2 — Outcome classification

After each round, classify the overall outcome as:
`NEW MECHANISM` / `DEFECT-MONOTONE` / `ALMOST-MONOTONE` / `KNOWN BUT REPACKAGED` /
`ROUTINE EXTENSION` / `FAILED BUT INFORMATIVE` / `DEAD END`

**Key failure/recovery events in this project:**

| Round | Attempt | Failure type | Recovery |
|-------|---------|--------------|----------|
| Output 2–3 | Raw bridge `λ(E_n) ≤ C·λ(B_n)` | STRUCTURAL | Introduced conductor-reduced map `φ_n^r` |
| Output 4 | Direct dimension bound on `E_n` | DIMENSION | Identified `τ_r(n)` as the obstruction |
| Output 5 | Control `τ_r(n)` unconditionally | DEFECT | Proved `ν_r = d_r + κ_r - τ_r` as the correct decomposition |
| Output 6–7 | Uncorrected bridge `λ(E_n) ≤ C·κ_r(n)` | STRUCTURAL | Isolated fiber-cone ideal `J_fib` as obstruction |
| Output 8 | Dimension bound via local cohomology | DIMENSION | Proved maximal-dimension obstruction theorem (negative result) |
| Output 9 | Fiber-corrected bridge under `J_fib = 0` | **PROVED** | Final theorem: `λ(E_n) = O(n^{d-2})` |

**Final proved theorem package:**
- Index formula: `λ(ker φ_n^r) - λ(coker φ_n^r) = λ(E_n)` — proved unconditionally
- Defect decomposition: `ν_r(n) = d_r(n) + κ_r(n) - τ_r(n)` — proved unconditionally
- R₁ criterion: `R(I) is R₁ ↔ deg ν_r(n) ≤ d-2` — proved unconditionally
- Fiber-corrected bridge: `λ(E_n) = O(n^{d-2})` if `J_fib = 0` — proved conditionally
- Obstruction theorem: raw bridge fails when `J_fib ≠ 0` — proved

---

## Phase 3 — Formalize: Lean 4 Verification (prompt_engineering_E3.md)

**Goal:** Formally verify the theorem package in Lean 4 / Mathlib.

**Agent role:** Lean 4 formalization engineer working one directory (phase) at a time.
Full protocol is in `prompt_engineering_E3.md`.

### Step 3.1 — Prerequisites

```bash
# Install elan (Lean version manager) if not present
curl https://raw.githubusercontent.com/leanprover/elan/master/elan-init.sh -sSf | sh
source ~/.elan/env
```

### Step 3.2 — Clone and build

```bash
git clone https://github.com/Shengrong-Wu/AI-Driven-Math-Research.git
cd AI-Driven-Math-Research/ReesDefects
lake update
lake build
```

Expected: all 47 `.lean` files compile with 0 errors (first run downloads Mathlib, ~10–20 min).

### Step 3.3 — Per-phase formalization workflow

For each of the 10 phases (directories), the agent follows Steps A–D from `prompt_engineering_E3.md`:

**A. Design block** — before writing any Lean, record in the per-file log:
- Purpose, imports needed, key definitions and lemmas, axiomatization decision

**B. Sorry skeleton** — write all definitions and theorem statements with `sorry` bodies;
run `lake build`; fix type errors only; record the initial sorry count

**C. Sorry elimination loop** — work through sorries in dependency order:
- Write an attempt block before any Lean; run `lake build` after each round
- If a statement is blocked by a Mathlib gap, axiomatize it explicitly as a
  `structure` or `hypothesis` parameter — never fabricate a lemma name

**D. Cleanup** — verify `grep -r "sorry"` shows no new sorries; update the session log

**Hard constraints:**
- Never fabricate Mathlib lemma names — write `-- [mathlib?]` if unsure
- Sorry count must decrease monotonically
- Never import a file until it builds clean

**Phase map:**

| Phase | Directory | Key deliverable |
|-------|-----------|-----------------|
| 1 | `Foundations/` | Scalar-snake length identity |
| 2 | `Algebra/` | Conductor = Ann(J/L) |
| 3 | `Rees/` | Rees algebra API |
| 4 | `Symmetric/` | Sym → Rees exact sequence |
| 5 | `Intermediate/` | ν_r = d_r + κ_r - τ_r |
| 6 | `Normalized/` | Integral-closure power family |
| 7 | `FirstCoefficient/` | R₁ ↔ closure = U |
| 8 | `Fiber/` | Fiber cone, J_fib, right-exact bridge |
| 9 | `Asymptotics/` | Polynomial growth bounds |
| 10 | `Main/` | Theorem A(1–5), B, Corollary C |

### Step 3.4 — Verify

```bash
# Check sorry count
grep -r "sorry" --include="*.lean" . | grep -v "^Binary"
```

Expected: only `Fiber/TorSequence.lean` and `Asymptotics/HilbertLength.lean` contain
`sorry` (two known Mathlib gaps). All other files: 0 sorry.

```bash
# Check main theorems are present
grep -r "nu_eq_d_add_kappa_sub_tauIntersection\|kernelLength_eq_nuDefect\|r1_iff_closurePow_eq_U\|RightExactBridge.mk" --include="*.lean" .
```

Expected: four matches across `Intermediate/`, `FirstCoefficient/`, and `Fiber/`.

### Step 3.5 — Axiom inventory

Three mathematical axioms are assumed (not yet in Mathlib):
- `concreteDefinition A I` — ties abstract interface to Puthenpurakal's `(I^n)_1`
- `FiberEquationData.FutureTorSequenceData.exact` — Tor exactness
- `HilbertGrowth.dLength_growth` / `kappa_growth` — polynomial growth

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