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Tensor Products of Modules

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Modules over Rings→→Flatness
tensor-product bilinear-map base-change right-exact

Core Idea

The tensor product M ⊗_R N of two R-modules is the module that universally linearizes bilinear maps: every R-bilinear map M × N → P factors uniquely through M ⊗_R N. Tensor products perform "base change" (extending scalars from one ring to another), are right exact but not left exact in general, and are the algebraic mechanism behind many constructions in geometry and algebra.

Explainer

In linear algebra, given two vector spaces V and W over a field k, the tensor product V ⊗_k W constructs a new vector space whose elements represent "bilinear combinations" of elements from V and W. The dimension satisfies dim(V ⊗ W) = dim(V) · dim(W), and if {vᵢ} and {wⱼ} are bases, then {vᵢ ⊗ wⱼ} is a basis for V ⊗ W. The module-theoretic tensor product generalizes this to modules over any commutative ring, but the behavior is richer and more surprising because modules lack bases in general.

The tensor product M ⊗_R N is defined by a universal property: it is an R-module together with an R-bilinear map M × N → M ⊗_R N such that every R-bilinear map M × N → P factors uniquely through it. The elements m ⊗ n (called pure tensors) are generators, subject to the relations of bilinearity: (m₁ + m₂) ⊗ n = m₁ ⊗ n + m₂ ⊗ n, m ⊗ (n₁ + n₂) = m ⊗ n₁ + m ⊗ n₂, and r(m ⊗ n) = (rm) ⊗ n = m ⊗ (rn). A general element is a sum of pure tensors, and recognizing when such sums are zero is the main computational challenge.

The most important property of tensor products for commutative algebra is right exactness. If 0 → A → B → C → 0 is exact, then A ⊗ N → B ⊗ N → C ⊗ N → 0 is exact — the tensor product preserves surjections and cokernels. But the map A ⊗ N → B ⊗ N need not be injective: tensor products can kill elements. This failure of left exactness is precisely what the Tor functor measures, and modules N for which − ⊗ N is exact (preserves all short exact sequences) are called flat modules.

The computation ℤ/mℤ ⊗_ℤ ℤ/nℤ ≅ ℤ/gcd(m,n)ℤ illustrates the key features. When gcd(m,n) = 1, the tensor product vanishes — the two modules have "incompatible" structures. The general identity M ⊗_R R/I ≅ M/IM shows that tensoring with a quotient ring performs "reduction modulo I," which is the algebraic operation underlying restriction to a closed subvariety. In algebraic geometry, tensor products implement fiber products and base change — changing the ring over which a module is defined. These operations are ubiquitous: extending scalars from ℤ to ℚ (rationalization), from R to R/𝔭 (reduction modulo a prime), or from R to its completion are all instances of tensor product base change.

Practice Questions 5 questions

Prerequisite Chain

Understanding Zero → The Number Zero → Counting to Five → Counting to 10 → Counting to 20 → Counting a Set of Objects Up to 20 → Cardinality: The Last Number Counted → Matching Numerals to Quantities → Subitizing Small Quantities → Addition Within 10 → Number Bonds to 10 → Addition Within 20 → Doubles and Near Doubles → Doubles Facts Within 10 → Near Doubles Facts Within 20 → Mental Math Strategies for Addition → Mental Math: Adding and Subtracting Tens → Addition Within 100 → Repeated Addition as Multiplication → Multiplication as Equal Groups → Multiplication: Arrays → Basic Multiplication Facts (0s, 1s, 2s, 5s, 10s) → Multiplication Facts Within 100 → Division as Equal Sharing → Division as Grouping (Measurement Division) → Division: Grouping (Repeated Subtraction) Model → Division: Fair Sharing Model → Division as Equal Sharing → Division as Grouping → Basic Division Facts → Division Facts Within 100 → Multiplication and Division Fact Families → Relationship Between Multiplication and Division → Division Facts as Inverse of Multiplication → Remainders and Quotients in Division → Division Word Problems → Multi-Step Word Problems → Solving Multi-Step Word Problems → Multiplication Word Problems → Division Word Problems → Introduction to Long Division → Factors and Multiples → Prime and Composite Numbers → Equivalent Fractions → Relating Fractions and Decimals → Decimal Place Value → Integers and the Number Line → Comparing and Ordering Integers → Absolute Value → Adding Integers → Subtracting Integers → Multiplying Integers → Dividing Integers → Unit Rates → Proportions → Percent Concept → Converting Between Fractions, Decimals, and Percents → Operations with Rational Numbers → Two-Step Equations → Solving Multi-Step Equations → Equations with Variables on Both Sides → Angle Pairs: Complementary, Supplementary, and Vertical → Parallel Lines and Transversals → Corresponding Angles → Alternate Interior Angles → Triangle Angle Sum Theorem → Exterior Angle Theorem → Triangle Inequality Theorem → Similar Triangles: AA Similarity → Similar Triangles: SSS and SAS Similarity → Proportions in Similar Triangles → Right Triangle Trigonometry Introduction → Sine, Cosine, and Tangent Ratios → Trigonometric Ratios Review → Vectors in Two Dimensions → Vector Operations: Addition, Subtraction, and Scalar Multiplication → Dot Product (Inner Product in R^n) → Matrix Multiplication → Linear Transformations → Modules over Rings → Tensor Products of Modules

Longest path: 81 steps · 433 total prerequisite topics

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