10.1 Construction and properties of tensor products
2 min read•july 25, 2024
Tensor products are a powerful tool in commutative algebra, combining modules to create new structures. They're defined by a universal property and have key properties like and distributivity. Understanding tensor products is crucial for grasping advanced algebraic concepts.
Computations with tensor products involve free modules, quotients, and cyclic groups. These calculations reveal important relationships between algebraic structures and help solve complex problems in theory and beyond. Mastering tensor products opens doors to deeper algebraic insights.
Tensor Product Fundamentals
Tensor product definition and properties
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Top images from around the web for Tensor product definition and properties
Commutative diagram with crossing edges | TikZ example View original
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Tensor product M⊗RN combines modules M and N over commutative ring R, creating new algebraic structure
Construction starts with on M×N, quotients by submodule generated by relations preserving
Relations ensure (m+m′,n)∼(m,n)+(m′,n), (m,n+n′)∼(m,n)+(m,n′), and (rm,n)∼(m,rn) for r∈R
Universal property establishes existence of bilinear map ϕ:M×N→M⊗RN
For any bilinear map f:M×N→P, unique linear map f~:M⊗RN→P exists, represented by commutative diagram
Computation of tensor products
Free modules F1⊗RF2 with bases {ei} and {fj} yield free module with basis {ei⊗fj}
M⊗RR≅M for any R-module M, simplifying computations
Quotient modules follow (M/N)⊗RP≅(M⊗RP)/(N⊗RP)
Z/mZ⊗ZZ/nZ≅Z/gcd(m,n)Z demonstrates tensor product of finite cyclic groups
Q⊗ZQ≅Q showcases tensor product of infinite-dimensional vector spaces
Properties and Applications
Proofs for tensor product properties
Associativity (L⊗RM)⊗RN≅L⊗R(M⊗RN) proved using universal property
M⊗RN≅N⊗RM established by isomorphism m⊗n↦n⊗m
Distributivity L⊗R(M⊕N)≅(L⊗RM)⊕(L⊗RN) shown using universal property and direct sum properties
Zero module property M⊗R0≅0 holds for any R-module M
Scalar multiplication compatibility ensures r(m⊗n)=(rm)⊗n=m⊗(rn) for r∈R
Tensor products vs bilinear maps
Bilinear maps f:M×N→P linear in each argument separately
Tensor product serves as universal bilinear map, factoring all bilinear maps
Multilinear maps represented as linear maps on tensor products
Dual spaces relationship (M∗⊗RN∗)≅(M⊗RN)∗ holds for finite-dimensional vector spaces
Change of rings allows M⊗RS to become S-module for R-algebra S
of modules determined by exactness of M⊗R− functor
Problem-solving employs universal property, reduction to simpler tensor products, and identification of bilinear maps