• If are nonempty subsets of . The sum of and is the set

    In general for , we define the sum as

  • A vector space is said to be the direct sum of and , denoted if such that and

    In general for subspaces we have that is the direct sum , denoted if

    And

  • (Friedberg e1.6..20) If are finite dimensional subspaces such that . Then is also finite dimensional and

    Moreover, if and only if

  • (Friedberg e1.6.24) If where is finite-dimensional, then there is a subspace such that

    • Intuition: A basis of is linearly independent in . Such a set can be extended to a basis in . The vectors we add to such a basis defines the subspace .
  • (Friedberg 5.15) Let where is a finite dimensional vector space. The following are equivalent

    • and for any vectors where
    • Each vector can be uniquely written as , .
    • If for each , is an ordered basis for then
      is an ordered basis for . The order comes by first listing all of , then and so on.
    • For each ., there exists an ordered basis for such that is an ordered basis for .
    • (Friedberg e5.2.18)
  • We can extend direct sums to matrices as well.

    Let , and not necessarily of the same size. The direct sum is the matrix such that

    In other words

    In general if

  • (Friedberg 5.30) Let be a linear operator on a finite-dimensional vector space and let be -invariant subspaces of such that . For each , let be a basis for and . If and . Then

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