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Definition1

A complete normed vector space is called a Banach space .

  • · C [ a , b ] with L norm, i.e., f = ess sup t [ a , b ] | f ( t ) | is a Banach space.
  • L p [ a , b ] = { f : f p < } for p [ 1 , ] and - a < b is a Banach space.
  • p ( N ) = { sequences x : x p < } for p [ 1 , ] is a Banach space.
  • Any finite-dimensional normed vector space is Banach, e.g., R N or C N with any norm.
  • C [ a , b ] with L p norm for p < is not Banach.

Definition 2

A complete inner product space is called a Hilbert space .

  • L 2 [ a , b ] is a Hilbert space.
  • 2 ( N ) is a Hilbert space.
  • Any finite-dimensional inner product space is a Hilbert space.

Note that every Hilbert space is Banach, but the converse is not true. Hilbert spaces will be extremely important in this course.

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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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