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Unformatted text preview: BASES JOS E MALAG ONL OPEZ Given a vector space V = Span( S ), the generator set S might not be good enough when we want to work with V . One problem is that a vector v in V might be described in more than one way in terms of the generator set. For example, consider the subspace Span( S ) of R 3 , where S = 1 2 1 , 2 3 5 ,  1 5 4 The vector 1 9 2 is in Span( S ) and can be expressed as a linear com bination of the vectors in S in different ways: 1 9 2 = 1 1 2 1 + 1 2 3 5 + 2  1 5 4 = 3 1 2 1  1 2 3 5 + 0  1 5 4 = 2 1 2 1 + 0 2 3 5 + 1  1 5 4 Another problem is that we might be working with more vectors than what is required: if v is a linear combination of the vectors in { v 1 , . . . , v m } , then Span ( v 1 , . . . , v m ) = Span ( v 1 , . . . , v m , v ). 1 For example, since 1 2 1  2 3 5 =  1 5 4 we have that Span 1 2 1 , 2 3 5 ,  1 5 4 = Span 1 2 1 , 2 3 5 The good news is that a vector space is completely determined when we choose a generator set that is linearly independent as well. Bases Definition. A basis for a vector space V is a linearly independent subset of V that generates V . Examples. The empty set is a basis for { } . A basis for R n is { ~e 1 , . . . , ~e n } , called the standard basis. A basis for P n is { 1 , x, x 2 , . . . , x n } , called the standard basis. A basis for M m n is the set of matrices { A kl = ( a ij )  a ij = 1 if i = k, j = l, and a ij = 0 otherwise } , called the standard basis....
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This note was uploaded on 01/22/2011 for the course MAT 1341 taught by Professor Josemalagonlopez during the Fall '10 term at University of Ottawa.
 Fall '10
 JoseMalagonLopez
 Linear Algebra, Algebra, Vector Space

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