Is ( R ) \ell^{\infty} (\mathbb{R}) A Banach Space?

Calculus Level 3

Let V V be a vector space over R \mathbb{R} . A norm on V V is a function : V R \|\cdot \| : V \to \mathbb{R} satisfying the following properties:

  • The norm is nonnegative: v 0 \|v\| \ge 0 for all v V v\in V , with equality if and only if v = 0 v=0 .
  • The norm scales with vectors: c v = c v \|cv\| = |c| \cdot \|v\| for all v V v\in V and c R c\in \mathbb{R} .
  • The norm satisfies the triangle inequality: v + w v + w \|v+w\| \le \|v\| + \|w\| for all v , w V v, w\in V .

A vector space equipped with a norm is called, unsurprisingly, a normed vector space .

Suppose V V is a normed vector space. For v , w V v,w \in V , define a function d : V × V R d: V\times V \to \mathbb{R} by d ( v , w ) = v w . d(v,w) = \|v-w\|. One can verify that this function d d is a metric on V V , giving V V the structure of a metric space .

If the metric space structure on V V induced by the norm is complete (i.e., Cauchy sequences converge ), then V V is called a Banach space .

Consider the space ( R ) \ell^{\infty} (\mathbb{R}) , consisting of bounded sequences of real numbers. This is a vector space over R \mathbb{R} , using coordinate-wise addition and scalar multiplication. One may define a norm on ( R ) \ell^{\infty} (\mathbb{R}) by setting ( a 1 , a 2 , a 3 , ) = sup i 1 a i . \|(a_1, a_2, a_3, \cdots)\| = \sup_{i\ge 1} |a_i|. Under this norm, is ( R ) \ell^{\infty} (\mathbb{R}) a Banach space?

Yes No

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1 solution

Let { a ( n ) } \{a(n)\} be a Cauchy sequence in the l ( R ) l^{\infty}(\mathbb{R}) space. Then, by definition, for any ϵ > 0 , N Z + \epsilon>0,\ \exists N\in \mathbb{Z}^{+} such that for any m , n N m,n\ge N , a ( n ) a ( m ) < ϵ sup i a i ( n ) a i ( m ) < ϵ a i ( n ) a i ( m ) < ϵ , i 1 \|a(n)-a(m)\|<\epsilon\\\implies \sup_{i}|a_{i}(n)-a_{i}(m)|<\epsilon\\\implies |a_{i}(n)-a_{i}(m)|<\epsilon,\ \forall i\ge 1 Hence, for every i 1 i\ge 1 ,the sequence { a i ( n ) } \{a_i(n)\} is Cauchy. Since a i ( n ) R , i a_i(n)\in \mathbb{R},\ \forall i and since R \mathbb{R} is complete, a i ( n ) a i , i 1 a_{i}(n)\to a_i,\ i\ge 1 for some a i R a_i\in \mathbb{R} , as n n\to \infty . Thus, in the first condition, where it says a i ( n ) a i ( m ) < ϵ |a_{i}(n)-a_i(m)|<\epsilon , for all m , n > N m,n>N , take m m\to \infty , to get a i ( n ) a i < ϵ |a_{i}(n)-a_i|<\epsilon for all n > N n>N , which implies that sup i a i ( n ) a i < ϵ \sup_{i}|a_i(n)-a_i|<\epsilon for all n > N n>N , which in turn implies that a ( n ) a a(n)\to a as n n\to \infty where a = ( a 1 , a 2 , ) a=(a_1,a_2,\cdots) . Thus the space is complete and hence is a Banach space.

Nice proof to this Real Analysis problem, Samrat!

tom engelsman - 7 months, 2 weeks ago

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