Complete metric space

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Definition

Given a metric space (X,d), if every Cauchy sequence converges to a limit (sequence) within X then X is a complete metric space[1][2]. That is to say:

  • Given a sequence (xn)n=1, it converging to a limit xX or being a Cauchy sequence are equivalent. Or in symbols:
  • ϵ>0NNnN[n>Nd(xn,x)]ϵ>0NNn,mN[nm>Nd(xn,xm)<ϵ]

Examples

Complete space

  • Obviously the R (reals) are complete, considered with the usual topology induced by the Absolute value metric

Incomplete space

  • A good example is the space of fractions, Q considered with the Absolute value metric again, there are rational sequences which converge to say, 2, and 2Q
  • A better example is the space of continuous functions on an interval, C[a,b] and the distance function:
    • d(f,g)=ba|f(x)g(x)|dx for f,gC[a,b]
    • Let a=1 and b=1 (WLOG)
    • We can then see that the sequence of functions (fn)n=1 where each fn:[1,1][0,1]R given by:
      fn(x)={0for x[1,0]nxfor x(0,1n]1otherwise
      • Has a limit (note that: lim with f(x)=\left\{\begin{array}{lr} 0 & \text{for }x\in[-1,0] \\ 1 & \text{otherwise}\end{array}\right. and that this f isn't continuous (in (\mathbb{R},\vert\cdot\vert)) anyway!)
      • and that limit, f isn't continuous, this we have shown that \mathcal{C}[-1,1] isn't complete. (and by translation/scaling as needed, \mathcal{C}[a,b] isn't complete)

References

  1. Jump up Functional Analysis - George Bachman and Lawrence Narici
  2. Jump up Analysis - Part I: Elements - Krzysztof Maurin