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Sequences of Real Numbers

8

In this section, we will continue to talk about properties of convergent sequences, and how to determine whether a sequence is convergent or not. We will discuss the rest of the definitions and theorems that you will need to know to determine if a sequence is convergent.

 

Definitions 2.24-2.27: A sequence {Sn} is monotonic if it meets any of the following properties:

{Sn} is…                                                          If…

Increasing:                                                    S1<S2<S3<…

Decreasing:                                                   S1>S2>S3>…

Non-Increasing:                                           S1=>S2=>S3=>…

Non-Decreasing:                                          S1<=S2<=S3<=…

This definition means that the sequence {Sn} must either be increasing or decreasing for it to be monotonic. If the sequence flip-flops between increasing and decreasing, then it isn’t monotonic. This is important because it helps prove one property of a convergent sequence. We us monotonic sequences to prove whether a sequence is bounded or not which will then tell us whether the sequence converges. These properties will allow us to use the monotone-convergence theorem to say that a sequence converges.

 

Theorem 2.40 (Cauchy Completeness Theorem): A sequence {Sn} of real numbers is convergent if, and only if, it is a Cauchy sequence.

This theorem means that a sequence, that contains all real numbers, will converge if a sequence is Cauchy AND that a Cauchy sequence will converge. This is important because it allows us to prove convergence by proving whether or not a sequence is Cauchy and vice versa. We can prove the forwards direction of the proof by showing the sequence converges when its a Cauchy sequence and we can prove the backwards direction by showing that a Cauchy sequence converges.

 

Below is an exercise problem that requires you to prove that a sequence is Cauchy by using the definition. Underneath the exercise is the solution. Try the exercise out first before looking at the solution.

 

 

http://tutorial.math.lamar.edu/Classes/CalcII/ConvergenceOfSeries.aspx

This site gives a basic overview of convergence and how it relates to limits. It also gives many examples with solutions and how those solutions came about.

http://www-history.mcs.st-and.ac.uk/~john/analysis/Lectures/L7.html

This site splits the different properties of convergence into different sections like cauchy, monotone, convergence to reals, ect. It can help illustrate the differences between different sequences

Exercises

  1.  If {sn} is bounded prove that {sn/n} is convergent.

Thomas, Bruckner and Bruckner; section 2.6, problem 2.6.2

2.  If {sn} is a sequence all of whose values lie inside an interval [a, b] prove that {sn/n} is convergent.

Thomas, Bruckner and Bruckner; section 2.8, problem 2.8.2

3. Suppose that sn ≤ tn for all n and that sn → ∞. What can you conclude?

Thomas, Bruckner and Bruckner; section 2.8, problem 2.8.4

4. Which statements are true?
(a) If {sn} and {tn} are both divergent then so is {sn + tn}.
(b) If {sn} and {tn} are both divergent then so is {sntn}.
(c) If {sn} and {sn + tn} are both convergent then so is {tn}.
(d) If {sn} and {sntn} are both convergent then so is {tn}.
(e) If {sn} is convergent so too is {1/sn}.
(f) If {sn} is convergent so too is {(sn)2}.
(g) If {(sn)2} is convergent so too is {sn}.

Thomas, Bruckner and Bruckner; section 2.7, problem 2.7.5

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Introduction to Real Analysis Copyright © by Matt Salomone and Salomone, Matt is licensed under a Creative Commons Attribution 4.0 International License, except where otherwise noted.