TheoremComplete

Localization - Applications

Localization provides powerful techniques for detecting and verifying module-theoretic properties locally.

TheoremLocal-Global Principle

Let MM be an RR-module. Then M=0M = 0 if and only if Mm=0M_\mathfrak{m} = 0 for all maximal ideals m\mathfrak{m} of RR.

More generally, a homomorphism f:M→Nf: M \to N is:

  • Injective ⇔\Leftrightarrow fm:Mmβ†’Nmf_\mathfrak{m}: M_\mathfrak{m} \to N_\mathfrak{m} is injective for all maximal m\mathfrak{m}
  • Surjective ⇔\Leftrightarrow fmf_\mathfrak{m} is surjective for all maximal m\mathfrak{m}
  • An isomorphism ⇔\Leftrightarrow fmf_\mathfrak{m} is an isomorphism for all maximal m\mathfrak{m}

This principle reduces global questions to local verification, embodying the "think globally, check locally" philosophy.

TheoremSupport and Associated Primes

For a finitely generated RR-module MM: Supp(M)={p∈Spec(R):Mpβ‰ 0}=V(ann(M))\text{Supp}(M) = \{\mathfrak{p} \in \text{Spec}(R) : M_\mathfrak{p} \neq 0\} = V(\text{ann}(M))

where ann(M)={r∈R:rM=0}\text{ann}(M) = \{r \in R : rM = 0\} is the annihilator. The support is the vanishing locus of the annihilator, providing a geometric interpretation.

ExampleComputing Support

For M=Z/6ZM = \mathbb{Z}/6\mathbb{Z} as a Z\mathbb{Z}-module:

  • ann(M)=6Z\text{ann}(M) = 6\mathbb{Z}
  • Supp(M)=V(6Z)={(2),(3)}\text{Supp}(M) = V(6\mathbb{Z}) = \{(2), (3)\}
  • Indeed, M(p)β‰ 0M_{(p)} \neq 0 if and only if p∈{2,3}p \in \{2, 3\}

The support captures which primes "see" the module.

TheoremLocalization and Finite Generation

If MM is a finitely generated RR-module, then for any multiplicative set SS, the localization Sβˆ’1MS^{-1}M is a finitely generated Sβˆ’1RS^{-1}R-module.

Moreover, if m1,…,mnm_1, \ldots, m_n generate MM over RR, then m1/1,…,mn/1m_1/1, \ldots, m_n/1 generate Sβˆ’1MS^{-1}M over Sβˆ’1RS^{-1}R.

Remark

The converse holds for finitely presented modules: if MmM_\mathfrak{m} is finitely generated over RmR_\mathfrak{m} for all maximal ideals m\mathfrak{m}, and MM is finitely presented, then MM is finitely generated over RR.

TheoremSaturation and Localization

For ideals I,JβŠ†RI, J \subseteq R, the saturation is (I:J∞)={r∈R:rJnβŠ†IΒ forΒ someΒ n}(I : J^\infty) = \{r \in R : rJ^n \subseteq I \text{ for some } n\}.

If SS is the multiplicative set generated by JJ, then: (I:J∞)=Ο•βˆ’1(Sβˆ’1I)(I : J^\infty) = \phi^{-1}(S^{-1}I) where Ο•:Rβ†’Sβˆ’1R\phi: R \to S^{-1}R is the natural map. Saturation can be computed via localization.

ExamplePrimary Decomposition and Localization

If I=Q1βˆ©β‹―βˆ©QnI = Q_1 \cap \cdots \cap Q_n is a primary decomposition with associated primes p1,…,pn\mathfrak{p}_1, \ldots, \mathfrak{p}_n, then localizing at pi\mathfrak{p}_i isolates the pi\mathfrak{p}_i-primary component: IRpi=QiRpiI R_{\mathfrak{p}_i} = Q_i R_{\mathfrak{p}_i}

This shows how localization "separates" primary components.

TheoremDiscrete Valuation Rings

A local integral domain (R,m)(R, \mathfrak{m}) is a discrete valuation ring (DVR) if and only if m\mathfrak{m} is principal, say m=(Ο€)\mathfrak{m} = (\pi).

DVRs arise as localizations of Dedekind domains at prime ideals, providing the local perspective in algebraic number theory and algebraic geometry.

These applications demonstrate how localization transforms global module-theoretic problems into tractable local questions, making it indispensable for computational and theoretical work.