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[1251]

Corollaries from Matrix representations

All corollaries from Matrix representations.

Injectivity and the kernel

A linear map T:V→WT:V\to W is injective if and only if

ker⁡(T)={0}.\ker(T)=\{0\}.

If VV is finite-dimensional, this is equivalent to nullity⁡(T)=0\operatorname{nullity}(T)=0.

If T(v1)=T(v2)T(v_1)=T(v_2), then T(v1−v2)=0T(v_1-v_2)=0. A trivial kernel therefore gives v1=v2v_1=v_2. Conversely, injectivity forces any vector with T(v)=T(0)T(v)=T(0) to be v=0v=0.

Properties read from a matrix representation

Let A=[T]BVBWA=[T]_{B_V}^{B_W} be the matrix representation of T:V→WT:V\to W over a scalar field F\mathbb F, with dim⁡(V)=n\dim(V)=n and dim⁡(W)=m\dim(W)=m. Then

ker⁡(A)={[v]BV:v∈ker⁡(T)}\ker(A)=\{[v]_{B_V}:v\in\ker(T)\}

and

im⁡(A)={[w]BW:w∈im⁡(T)}.\operatorname{im}(A)=\{[w]_{B_W}:w\in\operatorname{im}(T)\}.

Since a linear map is injective exactly when its kernel is trivial and surjective exactly when its image is the codomain, these identities give the coordinate tests ker⁡(A)={0}\ker(A)=\{0\} and im⁡(A)=Fm\operatorname{im}(A)=\mathbb F^m. Here ker⁡(A)\ker(A) and im⁡(A)\operatorname{im}(A) are sets of coordinate columns; the displayed equalities identify them with the corresponding abstract subspaces through the coordinate maps.

Consequently,

nullity⁡(A)=nullity⁡(T),rank⁡(A)=rank⁡(T).\operatorname{nullity}(A)=\operatorname{nullity}(T), \qquad \operatorname{rank}(A)=\operatorname{rank}(T).

Hence TT is injective if and only if nullity⁡(A)=0\operatorname{nullity}(A)=0 and TT is surjective if and only if rank⁡(A)=m\operatorname{rank}(A)=m. If m=nm=n, then TT is bijective if and only if AA is invertible.

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