Analysis Applying Combination Rules

In summary, the statement "If bn ≠ 0 and an/bn →1, then an-bn → 0" is false, while the statement "If bn ≠ 0, bn is bounded and an/bn → 1 then an-bn → 0" is true. The counterexample for the first statement is a_n = n + 1 and b_n = n.
  • #1
nlews
11
0
True or False, with a proof or counterexample.

a) If bn ≠ 0 and an/bn →1, then an-bn → 0
b) If bn ≠ 0, bn is bounded and an/bn → 1 then an-bn → 0

At the moment I cannot even see which is false so I am struggling with this question. I think the proof will require use of the quotient combination rule and the sum combination rule but I cannot see where to start! Any help would be appreciated!
 
Physics news on Phys.org
  • #2
Do you at least have a guess?
 
  • #3
Yes! Sorry I am new so wasnt sure how this all worked!

Basically I think the first is false and the second true!
I think this because for the second one,
if i use the fact that an/bn →1
I can say that
|an-bn| = bn |an/bn -1| → 0 because bn is bounded.

I think this works?

I can't really prove that the first is false, but I am working on that one at the moment! Any help would be great!
 
  • #4
Yes. That absolutely works for the second. For the first consider a_n = n + 1 and b_n = n.
 

FAQ: Analysis Applying Combination Rules

What is "Analysis Applying Combination Rules"?

"Analysis Applying Combination Rules" is a method used in scientific research to analyze and interpret data gathered from experiments or observations. It involves combining different pieces of information to draw conclusions and make predictions.

How is "Analysis Applying Combination Rules" different from other analysis methods?

Unlike other analysis methods, "Analysis Applying Combination Rules" involves combining multiple sources of data rather than focusing on one specific variable. This allows for a more comprehensive and accurate understanding of the phenomenon being studied.

What types of data can be used in "Analysis Applying Combination Rules"?

"Analysis Applying Combination Rules" can be applied to both qualitative and quantitative data. This means that it can be used to analyze both numerical data and descriptive data such as observations, interviews, or surveys.

What are the benefits of using "Analysis Applying Combination Rules"?

One of the main benefits of using "Analysis Applying Combination Rules" is that it allows for a more comprehensive and accurate understanding of complex phenomena. By combining different sources of data, researchers can identify patterns and relationships that may not be apparent when looking at individual variables.

What are some potential challenges of using "Analysis Applying Combination Rules"?

One potential challenge of using "Analysis Applying Combination Rules" is the potential for bias or subjectivity in the interpretation of data. It is important for researchers to carefully consider the sources and methods used in the analysis to ensure the validity and reliability of the results.

Back
Top