Matrix Addition For Linear Transformations: Proof That [T+U] = [T]+[U] With Given Ordered Bases

let V and W be finite dimensional vector spaces with ordered bases beta and lamda respectively. let T, U: V –> W be linear transformations then [t+U] = T+U

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To prove that [T+U] = [T]+[U], where [T], [U], and [T+U] denote the matrices of linear transformations T, U, and T+U, respectively, with respect to the given ordered bases beta and lambda, we need to show that each corresponding entry in [T+U] is equal to the sum of the corresponding entries in [T] and [U].

Let beta = {v1, v2, …, vn} and lambda = {w1, w2, …, wm}.

Then, for any v in V, we have:

[T+U]([v]_beta) = [(T+U)(v)]_lambda (by definition of [T+U])

= [Tv + Uv]_lambda (by definition of T+U)

= [Tv]_lambda + [Uv]_lambda (by properties of matrix addition)

= [T]([v]_beta) + [U]([v]_beta) (by definition of [T] and [U])

= ([T]+[U])([v]_beta) (by properties of matrix addition)

Therefore, [T+U] = [T]+[U] as desired.

This proves that the matrix of the sum T+U of two linear transformations T and U is equal to the sum of their matrices [T] and [U].

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