Define vector subspace
Answers
Answer:
In mathematics, and more specifically in linear algebra, a linear subspace, also known as a vector subspace[1][2] is a vector space that is a subset of some larger vector space. A linear subspace is usually simply called a subspace, when the context serves to distinguish it from other types of subspaces
Some important information :
Vector space :
(V , +) be an algebraic structure and (F , + , •) be a field , then V is called a vector space over the field F if the following conditions hold :
- (V , +) is an abelian group .
- ku ∈ V ∀ u ∈ V and k ∈ F
- k(u + v) = ku + kv ∀ u , v ∈ V and k ∈ F .
- (a + b)u = au + bu ∀ u ∈ V and a , b ∈ F .
- (ab)u = a(bu) ∀ u ∈ V and a , b ∈ F .
- 1u = u ∀ u ∈ V where 1 ∈ F is the unity .
♦ Elements of V are called vectors and the lements of F are called scalars .
♦ If V is a vector space over the field F then it is denoted by V(F) .
Answer :
Subspace :
A non empty subset W of the vector space V(F) is said to be a subspace of V if it itself forms a vector space over the same field F .
♦ A non empty subset W of the vector space V(F) is said to be a subspace of V iff
- x + y ∈ W ∀ x , y ∈ W
- ax ∈ W ∀ x ∈ W and a ∈ F
♦ A non empty subset W of the vector space V(F) is said to be a subspace of V iff
- x + y ∈ W ∀ x , y ∈ W
- ax ∈ W ∀ x ∈ W and a ∈ F
♦ A non empty subset W of the vector space V(F) is said to be a subspace of V iff ax + by ∈ W ∀ x , y ∈ W and a , b ∈ F .
♦ Every vector space V has atleast two subspaces :
- Zero vector space {0} is a subspace of V .
- V is a subspace of V .
♦ Subspaces of R² are :
- {0} where 0 = (0 , 0)
- Lines passing through the origin (0 , 0)
- R²
♦ Subspaces of R³ are :
- {0} where 0 = (0,0,0)
- Lines passing through the origin (0 , 0 , 0)
- Planes passing through the origin (0 , 0 , 0)
- R³
♦ Intersection of two (or more) subspaces of a vector space is again a subspace of that vector space .
♦ Union of two subspaces of a vector space is again a subspace of that vector space iff one of them is contained in other .
♦ The linear sum of two subspaces of a vector space is again a subspace of that vector space .