Created by M. Oki Orlandofrom the Noun Project

Subspace

Definition (Subspace)

A subspace of a vector space VV is a subset U⊂VU\subset V that, together with the addition and scalar multiplication on VV, is itself a vector space.

Remark

If U1,U2⊂VU_1,U_2\subset V are subspaces, then 0∈U10\in U_1 and 0∈U20\in U_2. If u1∈U1u_1\in U_1 and u2∈U2u_2\in U_2 then u1+0=u1∈U1+U2u_1+0=u_1\in U_1+U_2 and the same for u2∈U2u_2\in U_2. Therefore, the union of U1U_1 and U2U_2 is also contained in U1+U2U_1+U_2. In fact, U1+U2U_1+U_2 is the smallest subspace containing U1∪U2U_1\cup U_2.

Proposition (Criterion for being a subspace)

A subset U⊂VU\subset V is a Subspace of VV if

  1. 0∈U0\in U
  2. UU is closed under addition and scalar multiplication.

Proposition (Sum of subspaces is a subspace)

If U1,U2⊂VU_1,U_2\subset V are subspaces of VV, then U1+U2U_1+U_2 is a subspace of V

Proposition (U1+U2U_1+U_2 is the smallest subspace containing U1∪U2U_1\cup U_2)

If U1,U2,W⊂VU_1, U_2, W\subset V are subspaces such that U1∪U2⊂WU_1\cup U_2\subset W, then U1+U2⊂WU_1+U_2\subset W.

Proposition (The span of vectors is a subspace)

If VV is a vector space, and v1,...,vk∈Vv_1,...,v_k\in V, then span(v1,...,vk)span(v_1,...,v_k) is a subspace of VV, and is the smallest subspace containing the vectors v1,..,vkv_1,..,v_k.

Linked from