How to Prove Incompleteness and Completion in Metric Spaces?

  • Thread starter GreenBeret
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In summary, incomplete refers to something that is not fully finished or lacking certain parts or elements, while completion means that something is fully finished or has all necessary parts or elements. Understanding these concepts is important in scientific research to accurately report findings and draw valid conclusions. Incomplete data can significantly affect the results of a study, making it crucial for researchers to use strategies such as imputation and sensitivity analysis to deal with missing data. To ensure completion in their studies, researchers should carefully plan and design their experiments, thoroughly collect and analyze all relevant data, and account for potential sources of bias. Peer review and replication can also help ensure the completeness of their findings.
  • #1
GreenBeret
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In the metric space [tex](\mathbb R, d)[/tex]

1) [tex]d(x,y) = |{tan}^{ - 1}(x) - {tan}^{ - 1}(y)|[/tex] ,where x,y are real numbers .

2) [tex]d(x,y) = |{tan}^{ - 1}(x) - {tan}^{ - 1}(y)|[/tex], where x,y are real numbers .

Show that [tex](\mathbb R, d)[/tex] w.r.t (1) and (2) are incomplete metric space . Also, what is the completion space of both w.r.t. (1) and (2).

I appreciate any help.
 
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  • #2
(1) and (2) are the same metric
 
  • #3
Show that (1, 2, 3, ...) is a Cauchy sequence under the given metric that does not converge.
 

What is the difference between incomplete and completion?

Incomplete refers to something that is not fully finished or lacking certain parts or elements. Completion, on the other hand, means that something is fully finished or has all necessary parts or elements.

Why is it important to understand incomplete and completion in scientific research?

In scientific research, understanding the concepts of incomplete and completion is crucial because it allows researchers to accurately report their findings and draw valid conclusions. Incomplete data or incomplete understanding of a phenomenon can lead to incorrect conclusions and hinder the progress of scientific knowledge.

How can incomplete data affect the results of a scientific study?

Incomplete data can significantly affect the results of a scientific study. If important data is missing, it can lead to biased or inaccurate results. Incomplete data can also make it difficult to replicate the study or draw meaningful conclusions.

What are some strategies for dealing with incomplete data in research?

There are several strategies that can be used to deal with incomplete data in research. These include imputation, where missing data is replaced with estimated values, and sensitivity analysis, where different assumptions about the missing data are tested. It is also important to carefully document and acknowledge any missing data in the research report.

How can researchers ensure completion in their studies?

To ensure completion in their studies, researchers should carefully plan and design their experiments or studies. They should also thoroughly collect and analyze all relevant data, and account for any potential sources of bias. Peer review and replication of the study by other researchers can also help ensure completeness of the findings.

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