Discussion Overview
The discussion revolves around the concept of completeness in metric spaces, specifically focusing on examples of metric spaces that are not complete. Participants explore various examples of Cauchy sequences and their convergence properties within different metric spaces.
Discussion Character
- Exploratory
- Technical explanation
- Debate/contested
Main Points Raised
- One participant states that a metric space is complete if every Cauchy sequence converges, and seeks examples of non-complete metric spaces.
- Another participant provides an example using the set of continuous functions on [0,1] with a specific metric, demonstrating that the sequence defined by \( f_n(x) = x^n \) is Cauchy but does not converge to a continuous function.
- They further illustrate that the sequence \( P_n = \sum_{k=0}^{n} \frac{1}{k!} \) is Cauchy in the metric on the rational numbers but converges to \( e \), which is not a rational number.
- A different participant mentions the interval \( (0,1) \) as another example, where the sequence \( 1/n \) is Cauchy but does not converge within that interval.
- Another example is presented involving the vector space of complex sequences with finitely many non-zero terms, which is described as not being complete under the given inner product metric.
Areas of Agreement / Disagreement
Participants present multiple examples of non-complete metric spaces and Cauchy sequences, but there is no consensus on a singular definition or characterization of completeness beyond the initial premise. The discussion remains open with various perspectives and examples provided.
Contextual Notes
Some examples rely on specific properties of functions or sequences, and the completeness of the metric spaces discussed may depend on the definitions used or the context of the examples. The convergence of sequences is shown to be conditional on the space in which they are considered.