3. Linear Dependence and
Independence :-
• A finite set of vector of a vector space is said to be
Linearly Dependent(LD) if there exists a set of
scalars k1 , k2 , ……, kn such that,
k1u1 + k2u2 +……+knun= ō
• A finite set of vector of a vector space is said to be
Linearly Independent(LI) if there exists scalars k1 ,
k2 , ……, kn such that,
k1u1 + k2u2 +……+knun= ō => k1= k2= ……= kn=0
4. • Properties For LI - LD
• Property 1: Any subset of a vector space is either
L.D. or L.I.
• Property 2: A set of containing only ō vector that is
{ō} is L.D.
• Property 3: A set is containing the single non zero
vector is L.I.
• Property 4: A set having one of the vector as zero
vector is L.D.
5. EXAMPLES
• 1.] Consider the set of vectors to check LI or LD
{(1,0,0),(0,1,0),(0,0,1)} in R³.
• Solution :-
Let k₁,k₂,k₃ belongs to R such that,
k₁(1,0,0)+k₂(0,1,0)+k₃(0,0,1)=(0,0,0)
(k₁,k₂,k₃)=(0,0,0)
k₁=0,k₂=0,k₃=0
Therefore, the set {i,j,k} is LI.
6. • 2.] Determine whether the vectors are LI in R³ (1-
2,1),(2,1,-1),(7,-4,1).
• Solution :-
Let k₁,k₂,k₃ belongs to R such that,
k₁(1,-2,1)+k₂(2,1,-1)+k₃(7,-4,1)=(0,0,0)
k₁+2k₂+7k₃=0
-2k₁+1k₂-4k₃=0
k₁-k₂+k₃=0