Let be a vector space over . A norm on is a function satisfying the following properties:
A vector space equipped with a norm is called, unsurprisingly, a normed vector space .
Suppose is a normed vector space. For , define a function by One can verify that this function is a metric on , giving the structure of a metric space .
If the metric space structure on induced by the norm is complete (i.e., Cauchy sequences converge ), then is called a Banach space .
Consider the space , consisting of bounded sequences of real numbers. This is a vector space over , using coordinate-wise addition and scalar multiplication. One may define a norm on by setting Under this norm, is a Banach space?
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Let { a ( n ) } be a Cauchy sequence in the l ∞ ( R ) space. Then, by definition, for any ϵ > 0 , ∃ N ∈ Z + such that for any m , n ≥ N , ∥ a ( n ) − a ( m ) ∥ < ϵ ⟹ i sup ∣ a i ( n ) − a i ( m ) ∣ < ϵ ⟹ ∣ a i ( n ) − a i ( m ) ∣ < ϵ , ∀ i ≥ 1 Hence, for every i ≥ 1 ,the sequence { a i ( n ) } is Cauchy. Since a i ( n ) ∈ R , ∀ i and since R is complete, a i ( n ) → a i , i ≥ 1 for some a i ∈ R , as n → ∞ . Thus, in the first condition, where it says ∣ a i ( n ) − a i ( m ) ∣ < ϵ , for all m , n > N , take m → ∞ , to get ∣ a i ( n ) − a i ∣ < ϵ for all n > N , which implies that sup i ∣ a i ( n ) − a i ∣ < ϵ for all n > N , which in turn implies that a ( n ) → a as n → ∞ where a = ( a 1 , a 2 , ⋯ ) . Thus the space is complete and hence is a Banach space.