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Linear Transformation Spaces and Their Matrix Representation Spaces are Isomorphic 📂Linear Algebra

Linear Transformation Spaces and Their Matrix Representation Spaces are Isomorphic

Theorem1

Let’s assume that two vector spaces V,WV, W have dimensions n,mn, m, respectively. And let β,γ\beta, \gamma be the ordered bases for each. Then the function defined as follows Φ\Phi is an isomorphism.

Φ:L(V,W)Mm×n(R) by Φ(T)=[T]βγ \Phi : L(V, W) \to M_{m\times n}(\mathbb{R}) \quad \text{ by } \quad \Phi (T) = [T]_{\beta}^{\gamma}

[T]βγ[T]_{\beta}^{\gamma} is the matrix representation of TT.

Corollary

A necessary and sufficient condition for a linear transformation to be an isomorphism is that the dimensions of the domain and codomain are equal, hence,

dim(L(V,W))=dim(Mm×n)=mn=dim(V)dim(W) \dim( L(V,W) ) = \dim (M_{m\times n}) = mn = \dim(V) \dim(W)

Description

In the case of finite dimensions, every linear transformation corresponds to a matrix and vice versa. Addition and composition (matrix multiplication for matrices) are well-preserved between the two, and thus one can think of linear transformations and matrices as being essentially the same. Applying TT to the elements of VV (the left below) or multiplying the coordinate vector by the matrix representation (the right below) are essentially the same.

w=T(v)[w]γ=[T]βγ[x]β \mathbf{w} = T(\mathbf{v}) \qquad\qquad[\mathbf{w}]_{\gamma} = [T]_{\beta}^{\gamma} [\mathbf{x}]_{\beta}

Proof

First, that Φ\Phi is a linear transformation can be easily seen as follows.

Φ(aT+U)=[aT+U]βγ=a[T]βγ+[U]βγ=aΦ(T)+Φ(U)\Phi (aT + U) = \href{../3283}{[aT+U]_{\beta}^{\gamma} = a[T]_{\beta}^{\gamma} + [U]_{\beta}^{\gamma}} = a\Phi (T) + \Phi (U)

Now, to show that Φ\Phi is both injective and surjective, let us say β={v1,,vn},γ={w1,,wn}\beta = \left\{ \mathbf{v}_{1}, \dots, \mathbf{v}_{n} \right\}, \gamma = \left\{ \mathbf{w}_{1}, \dots, \mathbf{w}_{n} \right\}. And let a matrix AMm×n(R)A \in M_{m\times n}(\mathbb{R}) for any given m×nm \times n be provided. Then there exists a linear transformation T:VWT : V \to W that satisfies the following uniquely.

T(vj)=i=1nAijwi, for 1jn T(\mathbf{v}_{j}) = \sum_{i=1}^{n}A_{ij}\mathbf{w}_{i},\quad \text{ for } 1\le j \le n

This implies [T]βγ=A[T]_{\beta}^{\gamma} = A, in other words, Φ(T)=A\Phi (T) = A. Hence, TL(V,W)T \in L(V, W) is uniquely determined for all AMm×n(R)A \in M_{m\times n}(\mathbb{R}), therefore Φ\Phi is a bijection and an isomorphism.


  1. Stephen H. Friedberg, Linear Algebra (4th Edition, 2002), p103-104 ↩︎