Abstract¶
The conditions for a set of vectors to be a basis and some properties of vector basis.
Keywords:VectorsVector Spacesbasis¶ Basis Conditions¶
Let V be a vector space and a1, a2,…, an ∈ V ∀ n.
The set of vectors {a1, a2,…, an} are a basis of V if
- Span({a1, a2,… an})=V
- Any vectors in V can written as a linear combination of the vectors in {a1, a2,… an} 💭.
- The vectors {a1, a2,… an} are linear independent.
Use of Basis¶
For any ψ ∈ V, if {a1, a2,…, an} forms a basis, there exists a unique set of scalars λ1,λ2,…,λn ∈ Fn such that
ψ=λ1a1+λ2a2+…+λnan. Hence, given a basis one can write any vector in the space as a sum over those vectors in the basis.
Basis Properties¶
- All linear subspaces of a vector space have a basis.
- All basis of a given subspace have the same number of elements.
Special Basis¶
let V be a vector space defined over Fn.
The standard basis of a vector space V is given by
e1=⎣⎡10⋮0⎦⎤, e2=⎣⎡01⋮0⎦⎤, en=⎣⎡00⋮1⎦⎤. Let the set of vectors {a1, a2,…, an} be a basis of a vector space V. This basis is an orthonormal basis if
ai⋅aj=δij, where δij is the Kronecker delta function given by
δij:={10if i=jif i=j