If and are bases of finite-dimensional vector spaces over , then the products form a basis of . There is one independent coordinate for every pair of indices.[ref]
Linear Algebra Done Right by Sheldon Axler (4th edition). §9D, Theorems 9.72 and 9.74, printed pp. 372–373: dimension and tensor-product basis
For a proof outline, bilinearity expands each pure tensor asso these products form a spanning set. For linear independence, take the coordinate functionals from the two dual bases. The bilinear map induces a linear functional on the tensor product, satisfying . Applying it to a proposed zero linear combination selects just , forcing every coefficient to vanish. Thus dimensions multiply, rather than add. This finite-dimensional count includes a zero factor, whose tensor product has dimension zero.
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