5.15.5 Tensor Product Representative Independence
Tensor Product Representative Independence ensures that the result of a tensor product remains consistent regardless of the chosen representative basis.
Tensor Product Representative Independence is the property guaranteeing that any well-defined operation, map, or computation performed on an element of V ⊗ W yields the same result no matter which formal sum or free-module representative is used to express that element. This independence is not automatic for an arbitrary rule defined on representatives; it must be explicitly verified, and its verification is precisely what licenses a proposed construction to be regarded as a genuine operation on the tensor product rather than on the underlying free module alone.
The Problem Representative Independence Solves
Multiple Representatives for a Single Tensor
Because V ⊗ W is defined as a quotient F(V × W)/R, a single element of the tensor product corresponds to an entire equivalence class of elements in the free module F(V × W). Any rule intended to define a map or operation on V ⊗ W by referring to "a" representative must therefore be checked for consistency across the whole class.
The General Well-Definedness Requirement
Formally, if a rule assigns to each representative x ∈ F(V × W) a value φ(x) in some target set, the rule descends to a well-defined map on V ⊗ W if and only if:
for all x, y related by the tensor product's equivalence relation, that is, whenever x − y ∈ R.
Verifying Representative Independence in Practice
Checking Against the Four Generating Relations
Because the submodule R is generated by only four families of relations, additivity in each argument and homogeneity in each argument, representative independence can be verified by checking the rule's behavior on just these four families, rather than on the entire (typically infinite) submodule R.
Sufficiency of Checking Generators
If φ is defined so that it respects the linear structure of F(V × W) (that is, φ is itself linear), then checking that φ vanishes, or behaves consistently, on the four generating relation families is sufficient to guarantee it vanishes on all of R, since R is the submodule they generate.
Example: The Induced Linear Map from a Bilinear Map
Constructing the Map on Representatives
Given a bilinear map β: V × W → Z, define a linear map on the free module by Φ(v, w) = β(v, w) on generators, extended linearly. Representative independence for the induced map f on V ⊗ W requires showing Φ vanishes on R.
Verifying the Additivity Generator
For the generator (u+v, w) − (u,w) − (v,w):
which holds precisely because β is bilinear, and hence additive in its first argument. The remaining three generators are checked identically using the corresponding bilinearity condition.
Diagram of the Descent to a Well-Defined Map
Consequences of Representative Independence
Enables Computation with Any Convenient Representative
Once representative independence is established for a given construction, computations may freely use whichever formal sum representative is most convenient, such as a basis expansion or a minimal-rank decomposition, with the guarantee that the final answer is unaffected by this choice.
Distinguishes Genuine Tensor Constructions from Representative-Dependent Rules
Not every rule defined by referring to a representative descends to the quotient; representative independence is the precise dividing line between rules that define legitimate operations on V ⊗ W and rules that only make sense at the level of the free module F(V × W), failing to respect the identifications imposed by bilinearity.
Broader Role in Algebra
A Recurring Pattern Across Quotient Constructions
Representative independence, and the corresponding well-definedness check against the generators of a relation submodule, is a pattern that recurs whenever an algebraic object is built as a quotient, including quotient groups, quotient rings, and quotient vector spaces, making the technique used here directly transferable to those settings.
Foundation for Trusting Tensor Identities
Every standard identity of tensor algebra that is proved by "checking it on simple tensors and extending linearly" relies implicitly on representative independence to justify that this partial verification is sufficient to establish the identity for all elements of V ⊗ W.