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1.7 Linear Independence
Math 2331 – Linear Algebra
1.7 Linear Independence
Jiwen He
Department of Mathematics, University of Houston
jiwenhe@math.uh.edu
math.uh.edu/∼jiwenhe/math2331
Jiwen He, University of Houston Math 2331, Linear Algebra 1 / 17
1.7 Linear Independence Definition Matrix Columns Special Cases
1.7 Linear Independence
Linear Independence and Homogeneous System
Linear Independence: Definition
Linear Independence of Matrix Columns
Special Cases
ASet of One Vector
ASet of Two Vectors
ASet Containing the 0 Vector
ASet Containing Too Many Vectors
Characterization of Linearly Dependent Sets
Theorem: Linear Dependence and Linear Combination
Jiwen He, University of Houston Math 2331, Linear Algebra 2 / 17
1.7 Linear Independence Definition Matrix Columns Special Cases
Linear Independence and Homogeneous System
Example
Ahomogeneous system such as
1 2 −3 x1 0
3 5 9 x2 = 0
5 9 3 x3 0
can be viewed as a vector equation
1 2 −3 0
x 3 +x 5 +x 9 = 0 .
1 2 3
5 9 3 0
The vector equation has the trivial solution (x = 0, x = 0,
1 2
x3 = 0), but is this the only solution?
Jiwen He, University of Houston Math 2331, Linear Algebra 3 / 17
1.7 Linear Independence Definition Matrix Columns Special Cases
Linear Independence: Definition
Linear Independence
n
Aset of vectors {v ,v ,...,v } in R is said to be linearly
1 2 p
independent if the vector equation
x v +x v +···+x v =0
1 1 2 2 p p
has only the trivial solution.
Linear Dpendence
The set {v ,v ,...,v } is said to be linearly dependent if there
1 2 p
exists weights c ,...,c ,not all 0, such that
1 p
c v +c v +···+c v =0.
1 1 2 2 p p
↑
linear dependence relation
(when weights are not all zero)
Jiwen He, University of Houston Math 2331, Linear Algebra 4 / 17
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