Sketch: uniqueness from coordinates and linearity; existence by defining T through the coordinates of each vector.
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 is for exactly one ; we call these the coordinates of .
Uniqueness comes first. If and are linear maps from to with for every , then Kernel and Image of a Linear Map Are Subspaces (i) gives, for every with coordinates ,
so (Basic Properties of Functions: Equality, Composition, Identity, Inverse and Restriction (i)).
For existence, define by
This is a map from to (Maps from Functional Predicative Relations, and Families of Sections (ii)): every has coordinates, and the value is well defined because the coordinates are unique (Coordinates with Respect to a Basis (i)).
The map is linear. Let and be in , and let . By The Span of a Finite Family is the Smallest Subspace Containing It (i) in , and ; so the definition of and The Span of a Finite Family is the Smallest Subspace Containing It (i) in , for the family , give
So is linear (Linear Maps, Linear Operators and Isomorphisms of Vector Spaces (i)).
Finally, takes the prescribed values. For , the coordinates of are and for , since this linear combination equals by Iterated Operations over an Interval: Extracting One Term and Reversing the Order (i) (applied with in place of ), The Span of a Finite Family is the Smallest Subspace Containing It (i) and Vector Space over a Field (vi). The same computation in gives . For there is nothing to check, and is the zero map on (The Span of a Finite Family is the Smallest Subspace Containing It (iv)). This proves (i).
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