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Definition 1

A basis of a vector space V is a set of vectors B such that
  • span ( B ) = V .
  • B is linearly independent.

The second condition ensures that all bases of V will have the same size. In fact, the dimension of a vector space V is defined as the number of elements required in a basis for V . (Could easily be in infinite.)

  • R N with B the “standard basis” for R N
    { b 1 , b 2 , ... , b N } = 1 0 0 , 0 1 0 , ... , 0 0 1
    Note that this easily extends to p ( Z ) .
  • R N with any set of N linearly independent vectors
  • V = { polynomialsofdegreeatmost p } B = { 1 , t , t 2 , . . . , t p } (Note that the dimension of V is p + 1 )
  • V = { f ( t ) : f ( t ) isperiodicwithperiod T } B = { e j k t } k = - (Fourier series, infinite dimensional)

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Source:  OpenStax, Digital signal processing. OpenStax CNX. Dec 16, 2011 Download for free at http://cnx.org/content/col11172/1.4
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