Componentwise: the ring rules for pointwise operations give the additive conditions and the scalar rules give the scalar conditions.
Routine facts about negatives in a commutative ring are used without comment (Toolkit for AL2). By Euclidean Space : n-Tuples of Real Numbers with Their Componentwise Operations (iv) and Euclidean Space : n-Tuples of Real Numbers with Their Componentwise Operations (v), the sum, the scalar multiple, the negative and the origin of are the pointwise ones on with . So the addition is a binary operation on and the scalar multiplication a function from to (Pointwise Operations on Real-Valued Maps (i)), and the rules of Rules for Pointwise Operations on Real-Valued Maps: a Commutative Ring, Scalar Multiples and Evaluation apply to them. Let and be arbitrary.
We begin with the conditions on the addition. By Rules for Pointwise Operations on Real-Valued Maps: a Commutative Ring, Scalar Multiples and Evaluation (i), is a commutative ring under the pointwise operations, with zero , and the negative of in this ring is . In particular, by Commutative Rings (i), the addition is associative and commutative and has as a right identity, which gives Vector Space over a Field (i) and Vector Space over a Field (ii), and for every , so the origin is a vector as required in Vector Space over a Field (iii). It is the only one: if satisfies for every , then
Hence the negatives condition Vector Space over a Field (iv) has only to be checked for , and there serves, because holds in the ring.
The conditions on the scalar multiplication are the scalar laws of Rules for Pointwise Operations on Real-Valued Maps: a Commutative Ring, Scalar Multiples and Evaluation (iii):
which are, in this order, Vector Space over a Field (v), Vector Space over a Field (vi), Vector Space over a Field (vii) and Vector Space over a Field (viii).
All eight conditions of Vector Space over a Field (ix) therefore hold, and is a vector space over with its operations and constants, that is, a real vector space (Vector Space over a Field (x)). We saw that the origin is its only vector with for every , so it is the zero vector (The Zero Vector, Negatives and Differences in a Vector Space (i)); and since , the negative of is (The Zero Vector, Negatives and Differences in a Vector Space (ii)). This proves (i).
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