Theorems and Definitions in Linear Algebra - Vector Spaces

Vector Spaces

A vector space( or linear space) V over a number field² F consists of a set on which two operations (called addition and scalar multiplication, respectively) are defined so, that for each pair of elements x, y, in V there is a unique element x + y in V, and for each element a in F and each element x in V there is a unique element ax in V, such that the following conditions hold.

  • (VS 1) For all in V, (commutativity of addition).
  • (VS 2) For all in V, (associativity of addition).
  • (VS 3) There exists an element in V denoted by such that for each in V.
  • (VS 4) For each element in V there exists an element in V such that .
  • (VS 5) For each element in V, .
  • (VS 6) For each pair of element in F and each element in V, .
  • (VS 7) For each element in F and each pair of elements in V, .
  • (VS 8) For each pair of elements in F and each pair of elements in V, .

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