• A subset of a Vector Space over a field is called a subspace of if is a vector space over under the operations of addition and scalar multiplication defined in

    We denote this as 1

  • (Frieidberg 1.3) Let be a vector space and a subset of . Then if and only if the following hold:

  • (Friedberg 1.4) Any intersection of subspaces of is a subspace of .

  • (Friedberg e1.3.18) Let , then if and only if or

  • (Friedberg e1.3.20) If and then for any scalars

  • (Friedberg e1.3.21) If , then is the smallest subspace containing both and

  • (Friedberg 1.11) If is finite dimensional, then is finite dimensional, and .

    Moreover,

    • (Friedberg 1.11.1) Any basis for is a subset of a basis in .
  • A coset for vector spaces can be defined as follows. Let . For any , the set

    is called the coset of containing .

    • (Friedberg e1.3.29a) if and only if
    • (Friedberg e1.3.29c) The following operations are well defined
    • (Friedberg e1.3.29d) We can define the Factor Group as the vector space
    • (Friedberg e2.4.22) Let be a Linear Transformation. Define the mapping by
      For any coset . Then the following are true:
      • The mapping is well defined.
      • is linear
      • is an isomorphism.
  • (Friedberg e2.4.15) Let be finite dimensional vector spaces and an isomorphism. Let then

Links

Footnotes

  1. Subspaces are generalized by subgroups.