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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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