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'''Note**''' The above definition not only applies to a finite set of vectors, but also to an infinite set of vectors in a vector space.
 
'''Note**''' The above definition not only applies to a finite set of vectors, but also to an infinite set of vectors in a vector space.
 
===Example 1===
 
===Example 1===
Let <math>V = R^3</math>. The vectors
+
Let <math>V = R^3</math>. The vectors <math>(\left(\begin{array}{cccc}a11&a12\\a21&a22\end{array}\right)</math>

Revision as of 03:25, 10 December 2011


Basis

Definition: The vectors v1, v2,..., vk in a vector space V are said to form a basis for V if (a) v1, v2,..., vk span V and (b) v1, v2,..., vk are linearly independent. Note* If v1, v2,..., vk form a basis for a vector space V, then they must be distinct and nonzero. Note** The above definition not only applies to a finite set of vectors, but also to an infinite set of vectors in a vector space.

Example 1

Let $ V = R^3 $. The vectors $ (\left(\begin{array}{cccc}a11&a12\\a21&a22\end{array}\right) $

Alumni Liaison

Recent Math PhD now doing a post-doctorate at UC Riverside.

Kuei-Nuan Lin