Catalog of Definitions from Linear Algebra.
Definition 1. Vector Space
§1.2
A vector space (or linear space) Vover a field F consists of a set on which twooperations (called addition andscalar multiplication) are defined so thatfor each pair of elements x,y∈Vthere is a unique element x+y∈V, andfor each a∈F and x∈Vthere is a unique element ax∈V,such that the following conditions hold:(VS 1)(VS 2)(VS 3)(VS 4)(VS 5)(VS 6)(VS 7)(VS 8)∀x,y∈V, x+y=y+x(commutativity of addition)∀x,y,z∈V, (x+y)+z=x+(y+z)(associativity of addition)∃0∈V s.t. x+0=x for each x∈V∀x∈V, ∃y∈V s.t. x+y=0∀x∈V, 1x=x∀a,b∈F, ∀x∈V, (ab)x=a(bx)∀a∈F, ∀x,y∈V, a(x+y)=ax+ay∀a,b∈F, ∀x∈V, (a+b)x=ax+bxThe elements x+y and ax are calledthe sum of x and y and the product of a and x.The elements of F are called scalars,and the elements of V are called vectors.
Definition 2. Subspace
§1.3
W⊆V is a subspace of V if W is a vector space over Fwith the operations of addition and scalarmultiplication defined on V.Equivalently, W is a subspace of V iff the following hold:(a)(b)(c)(d)(Closed under addition)x+y∈W whenever x∈W and y∈W(Closed under scalar multiplication)cx∈W whenever c∈F and x∈W0∈WEach vector in W has an additive inverse in W