Tor Functors as Derived Tensor Product

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Core Idea

The Tor functor Tor_n(A, B) is the n-th left derived functor of − ⊗ B, computed via a projective resolution of A. Tor_1(A, B) measures the failure of A ⊗ − to be exact, capturing torsion phenomena. Higher Tor groups measure higher-order non-exactness. Tor is dual to Ext and crucial in computing tensor products of complexes and understanding flatness.

Explainer

From exact sequences, you know what it means for a functor to be exact: it preserves the exactness of short exact sequences 0 → A' → A → A'' → 0. The tensor product − ⊗ B is right-exact: a short exact sequence 0 → A' → A → A'' → 0 yields A' ⊗ B → A ⊗ B → A'' ⊗ B → 0, with the zero on the right preserved. But the map A' ⊗ B → A ⊗ B may fail to be injective — left-exactness can break. The Tor functors are the derived functors that measure precisely how and how much it breaks.

The construction uses projective resolutions. For a module A, take a projective resolution: a long exact sequence ... → P₂ → P₁ → P₀ → A → 0 where each Pᵢ is projective (you know projective modules: they are the modules for which Hom(P, −) is exact, equivalently the direct summands of free modules). Remove A from the sequence. Tensor the remaining complex with B to get ... → P₂⊗B → P₁⊗B → P₀⊗B → 0. This tensored complex is generally no longer exact. Take its homology: Tor_n(A, B) = Hₙ(P_• ⊗ B). A key theorem establishes that this is independent of the choice of projective resolution, so Tor_n is well-defined.

The lowest cases give the most intuition. Tor_0(A, B) = A ⊗ B: the zeroth homology just recovers the original tensor product. Tor_1(A, B) is the most geometrically meaningful and gives Tor its name. For cyclic groups: Tor_1(ℤ/mℤ, ℤ/nℤ) ≅ ℤ/gcd(m,n)ℤ. This captures torsion interaction: two cyclic groups have non-trivial Tor₁ exactly when their orders share a common factor. The torsion in A interacts with the torsion in B in a way that is invisible to the tensor product itself (ℤ/mℤ ⊗ ℤ/nℤ ≅ ℤ/gcd(m,n)ℤ as well, but the information about the failure of exactness in the resolution is what Tor records at higher levels).

The flatness connection ties Tor back to module theory: A is flat if and only if Tor_n(A, B) = 0 for all n ≥ 1 and all B. Flat modules are precisely those for which tensoring preserves exact sequences — they are the "good" modules for tensor products, analogous to projective modules for Hom. Free modules are flat, projective modules are flat, but flatness is a strictly weaker condition (every projective is flat, but not conversely). In algebraic geometry, the fibers of a flat morphism vary "continuously" — Tor vanishing is the algebraic condition ensuring this geometric regularity. Higher Tor groups also appear in the Künneth formula for computing homology of product spaces, where Tor_1 terms correct for the non-exactness that can arise when the chain groups have torsion. Tor is, alongside Ext, one of the two fundamental invariants of homological algebra.

Practice Questions 5 questions

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Counting to 10Counting to 20Understanding ZeroThe Number ZeroCounting to FiveOne-to-One CorrespondenceCombining Small Groups Within 5Addition Within 10Addition Within 20Two-Digit Addition Without RegroupingTwo-Digit Addition with RegroupingAddition Within 100Repeated Addition as MultiplicationMultiplication Facts Within 100Division as Equal SharingDivision as Grouping (Measurement Division)Division: Grouping (Repeated Subtraction) ModelDivision: Fair Sharing ModelDivision as Equal SharingDivision as GroupingBasic Division FactsDivision Facts Within 100Two-Digit by One-Digit DivisionDivision with RemaindersRemainders and Quotients in DivisionDivision Word ProblemsIntroduction to Long DivisionFactors and MultiplesPrime and Composite NumbersEquivalent FractionsRelating Fractions and DecimalsDecimal Place ValueReading and Writing DecimalsComparing and Ordering DecimalsAdding and Subtracting DecimalsMultiplying DecimalsDividing DecimalsDividing FractionsMixed Number ArithmeticOrder of OperationsInteger Order of OperationsVariable ExpressionsCombining Like TermsOne-Step EquationsTwo-Step EquationsSolving Multi-Step EquationsEquations with Variables on Both SidesLiteral EquationsSlope-Intercept FormPoint-Slope FormWriting Linear EquationsParallel and Perpendicular Line SlopesGraphing Linear EquationsPiecewise FunctionsStep FunctionsComposition of FunctionsCategories and MorphismsFunctorsNatural Transformations2-Categories and Weak FunctorsNatural Isomorphisms Between FunctorsIsomorphisms in CategoriesUniversal PropertiesInitial and Terminal ObjectsProducts and CoproductsEqualizers and CoequalizersLimits and ColimitsThe Yoneda LemmaAdjoint FunctorsFree ObjectsProjective Objects and Projective CoversHomological Dimension in CategoriesExact Sequences in CategoriesExt Functors as Derived HomTor Functors as Derived Tensor Product

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