TheoremBase

Sketch: uniqueness from coordinates and linearity; existence by defining T through the coordinates of each vector.

Proof

Routine facts about tuples built termwise or with one distinguished component are used without comment (Toolkit for AL2). By Coordinates with Respect to a Basis (i), every v∈Vv\in V is v=βˆ‘i=1naiviv=\sum_{i=1}^{n}a_{i}v_{i} for exactly one (a1,…,an)∈Kn(a_{1},\dots,a_{n})\in K^{n}; we call these the coordinates of vv.

Uniqueness comes first. If TT and Tβ€²T' are linear maps from VV to WW with Tvi=Tβ€²vi=wiTv_{i}=T'v_{i}=w_{i} for every ii, then Kernel and Image of a Linear Map Are Subspaces (i) gives, for every v∈Vv\in V with coordinates (a1,…,an)(a_{1},\dots,a_{n}),

Tv=βˆ‘i=1nai Tvi=βˆ‘i=1naiwi=βˆ‘i=1nai Tβ€²vi=Tβ€²v,Tv=\sum_{i=1}^{n}a_{i}\,Tv_{i}=\sum_{i=1}^{n}a_{i}w_{i}=\sum_{i=1}^{n}a_{i}\,T'v_{i}=T'v,

so T=Tβ€²T=T' (Basic Properties of Functions: Equality, Composition, Identity, Inverse and Restriction (i)).

For existence, define T:V→WT:V\to W by

T(βˆ‘i=1naivi)=βˆ‘i=1naiwi((a1,…,an)∈Kn).T\Bigl(\sum_{i=1}^{n}a_{i}v_{i}\Bigr)=\sum_{i=1}^{n}a_{i}w_{i}\qquad\bigl((a_{1},\dots,a_{n})\in K^{n}\bigr).

This is a map from VV to WW (Maps from Functional Predicative Relations, and Families of Sections (ii)): every v∈Vv\in V has coordinates, and the value is well defined because the coordinates are unique (Coordinates with Respect to a Basis (i)).

The map TT is linear. Let u=βˆ‘iaiviu=\sum_{i}a_{i}v_{i} and uβ€²=βˆ‘iaiβ€²viu'=\sum_{i}a'_{i}v_{i} be in VV, and let λ∈K\lambda\in K. By The Span of a Finite Family is the Smallest Subspace Containing It (i) in VV, u+uβ€²=βˆ‘i(ai+aiβ€²)viu+u'=\sum_{i}(a_{i}+a'_{i})v_{i} and Ξ»u=βˆ‘i(Ξ»ai)vi\lambda u=\sum_{i}(\lambda a_{i})v_{i}; so the definition of TT and The Span of a Finite Family is the Smallest Subspace Containing It (i) in WW, for the family (w1,…,wn)(w_{1},\dots,w_{n}), give

T(u+uβ€²)=βˆ‘i(ai+aiβ€²)wi=Tu+Tuβ€²,T(Ξ»u)=βˆ‘i(Ξ»ai)wi=λ Tu.T(u+u')=\sum_{i}(a_{i}+a'_{i})w_{i}=Tu+Tu',\qquad T(\lambda u)=\sum_{i}(\lambda a_{i})w_{i}=\lambda\,Tu.

So TT is linear (Linear Maps, Linear Operators and Isomorphisms of Vector Spaces (i)).

Finally, TT takes the prescribed values. For k∈[n]k\in[n], the coordinates of vkv_{k} are ak=1a_{k}=1 and ai=0a_{i}=0 for iβ‰ ki\neq k, since this linear combination equals vkv_{k} by Iterated Operations over an Interval: Extracting One Term and Reversing the Order (i) (applied with nβˆ’1n-1 in place of nn), The Span of a Finite Family is the Smallest Subspace Containing It (i) and Vector Space over a Field (vi). The same computation in WW gives Tvk=βˆ‘iaiwi=wkTv_{k}=\sum_{i}a_{i}w_{i}=w_{k}. For n=0n=0 there is nothing to check, and TT is the zero map on V={0}V=\{0\} (The Span of a Finite Family is the Smallest Subspace Containing It (iv)). This proves (i).

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