Real Analysis: Proof of convergence

In summary, if {bn} converges to B and B ≠ 0 and bn ≠ 0 for all n, then there is a positive real number M and a positive integer N such that if n≥N, then |bn|≥M. This can be proven using the lemma, which states that for any real number B≠0 and any positive real number ε, there exists a positive integer N such that if n≥N, then |bn-B|<ε. By choosing M=[(|B|)/2], we can show that for n≥N, |bn|≥M.
  • #1
uva123
9
0

Homework Statement



Prove if {bn} converges to B and B ≠ 0 and bn ≠ 0 for all n, then there is M>0 such that |bn|≥M for for all n.

Homework Equations



What I have so far:
I know that if {bn} converges to B and B ≠ 0 then their is a positive real number M and a positive integer N such that if n≥N, then |bn|≥M . (by lemma)
PROOF (of lemma)- (Note: let E be epsilon)
since B ≠ 0, (|B|)/2=E>0. There is N such that if n≥N, then
|bn-B|<E. Let M=[(|B|)/2]. thus for n≥N,
|bn|=|bn-B+B|≥|B|-|bn-B|≥|B|-[(|B|)/2]=[(|B|)/2]=M



The Attempt at a Solution



i know that this is not the entire proof i need but i don't know what changes need to be made. what variations do i need to make in the proof for the lemma? please help point me in the right direction!
 
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  • #2
I don't see anything you need to change or amplify. Why do you think there is a weakness?
 
  • #3
uva123 said:

Homework Statement



Prove if {bn} converges to B and B ≠ 0 and bn ≠ 0 for all n, then there is M>0 such that |bn|≥M for for all n.

Homework Equations



What I have so far:
I know that if {bn} converges to B and B ≠ 0 then their is a positive real number M and a positive integer N such that if n≥N, then |bn|≥M . (by lemma)
PROOF (of lemma)- (Note: let E be epsilon)
since B ≠ 0, (|B|)/2=E>0. There is N such that if n≥N, then
|bn-B|<E. Let M=[(|B|)/2]. thus for n≥N,
|bn|=|bn-B+B|≥|B|-|bn-B|≥|B|-[(|B|)/2]=[(|B|)/2]=M



The Attempt at a Solution



i know that this is not the entire proof i need but i don't know what changes need to be made. what variations do i need to make in the proof for the lemma? please help point me in the right direction!

I think it looks fine. :)
 

FAQ: Real Analysis: Proof of convergence

What is "Real Analysis"?

"Real Analysis" is a branch of mathematics that deals with the properties and behavior of real numbers, as well as the functions and sequences defined on them. It is a fundamental subject in pure mathematics and is used extensively in other areas of mathematics, such as calculus, differential equations, and topology.

What is the purpose of proof of convergence in Real Analysis?

The purpose of proof of convergence in Real Analysis is to rigorously establish the behavior of a sequence or a series of real numbers. It allows us to determine whether a sequence or series will eventually approach a specific limit or diverge to infinity. This is important in understanding the behavior of functions and their properties.

How is convergence proved in Real Analysis?

In Real Analysis, convergence is typically proved using the epsilon-delta method. This involves using the definition of a limit, where for any given epsilon (a small positive number), there exists a corresponding delta (a small positive number) such that the distance between the limit and the elements of the sequence is less than epsilon whenever the distance between the elements and the limit is less than delta.

What are the main challenges in proving convergence in Real Analysis?

One of the main challenges in proving convergence in Real Analysis is dealing with infinite quantities and limits. This requires a deep understanding of mathematical concepts and techniques, as well as strong logical reasoning and attention to detail. Another challenge is identifying and dealing with cases where the sequence or series may not converge or may converge to different limits.

How is proof of convergence used in real-world applications?

Proof of convergence is used in many real-world applications, such as in engineering, physics, and economics, where the behavior of systems or processes can be modeled using mathematical functions and sequences. It allows us to predict the behavior of these systems and make informed decisions based on the properties and limits of the functions involved.

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