Difference between revisions of "Linear combination"

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==Definition==
 
==Definition==
 
Let {{M|(V,\mathcal{K})}} be a [[vector space]] and let {{M|v_1,v_2,\ldots,v_n\in V}} be given. A ''linear combination'' of {{M|v_1,\ldots,v_n}}'' is any vector of the form{{rFAVIDMH}}:
 
Let {{M|(V,\mathcal{K})}} be a [[vector space]] and let {{M|v_1,v_2,\ldots,v_n\in V}} be given. A ''linear combination'' of {{M|v_1,\ldots,v_n}}'' is any vector of the form{{rFAVIDMH}}:

Latest revision as of 07:37, 29 July 2016

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Flesh out with a bigger see also section. Find some more references and add some comments about why this is important (linear independence)

Definition

Let (V,K) be a vector space and let v1,v2,,vnV be given. A linear combination of v1,,vn is any vector of the form[1]:

  • ni=1aivi for some scalars, a1,a2,,anK[Note 1].

Note: A linear combination is always a finite sum[1][Note 2]

See also

Notes

  1. Jump up Obviously, by definition of a vector space: (ni=1aivi)V
  2. Jump up This is because in a vector space we only have binary operations, by induction we can apply the binary operation finitely many times, but not infinitely! More structure is needed to construct a limit.

References

  1. Jump up to: 1.0 1.1 Functional Analysis - Volume 1: A gentle introduction - Dzung Minh Ha

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