Expanding linear independent vectors

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SUMMARY

Expanding linear independent vectors involves extending a set of linearly independent vectors, such as ##x_1,...,x_k##, to form a complete basis for a vector space ##V## with dimension ##n##. This can be achieved by adding vectors that are not in the span of the existing vectors. Specifically, one can select ##x_{k+1}## as any vector in ##V## that is independent of ##\{x_1, \dots, x_k\}##, and continue this process until a basis of ##n## linearly independent vectors is formed.

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  • Understanding of linear independence in vector spaces
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  • Knowledge of basis and dimension in linear algebra
  • Ability to manipulate and analyze vectors in ##\mathbb{R}^n##
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Hi PF!

The other day in class my professor mentioned something about expanding linear independent vectors, but he did not elaborate. From what I understand, if ##x_1,...,x_k## are linearly independent vectors in ##V##, where ##dimV=n>k##, how would you extend ##x_1,...x_k## to a basis ##\{ x_1,...,x_n \}##. Let's say ##\{ y_1,...,y_n \}## is a basis for ##V##. By extending the ##x## vectors, do you think he was just referring to including all the ##y## vectors in the set of ##x## vectors that are linearly independent of the ##x## vectors?

Thanks!
 
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If you have a set of linearly independent vectors, you can expand that set into a basis simply be adding more vectors. In your example, you can choose ##x_{k+1}## as any vector in V that is not in the span of ##\{x_1, \dots x_k \}##.

And then, any vector ##x_{k+2}## that is not in the span of ##\{x_1, \dots x_{k+1} \}##.

Until you have a basis of ##n## linearly independent vectors.
 
OK cool, that's what I thought but I wanted someone else's perspective! Thanks PeroK!
 

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