Serlo: EN: Monotony criterion
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In this chapter, we will prove that monotonous and bounded functions converge. So if you have a bounded sequence, which in addition is monotonous, you instantly know that it converges. There is no need ot make complicated bounds within the -definition. You do not even have to know what the limit is!
This especially turns out to be useful for recursive sequences. For those sequences, there is often no explicit form available which makes it hard to guess, what a limit may be or what the difference of a sequence element to a potential limit is.
Convergence of monotonous and bounded sequences
Datei:Konvergenz beschränkter monotoner Folgen - Quatematik.webm Mathe für Nicht-Freaks: Vorlage:Satz
An example
Mathe für Nicht-Freaks: Vorlage:Aufgabe
Mathe für Nicht-Freaks: Vorlage:Hinweis
Nested intervals
There is a useful implication for nested intervals.
Recap: A sequence of nested intervals is a sequence with the following properties:
1. All intervals are subsets of their precursors:
2. For all there is an interval smaller than :
In that case, there is always exactly one real number being included in all intervals. This statement can be shown using the monotony criterion:
We take a look at the two sequences and , i.e. upper and lower bounds of the intervals.
- Since there is
Vorlage:Einrücken So is monotonously increasing and monotonously decreasing.
- Since and , the sequence is bounded from above by and conversely, is bounded from below by .
The monotony criterion hence implies that and converge. The limit of both is even equal and exactly this one number being in all intervals:
Since is a sequence of nested intervals, there is Vorlage:Einrücken
As we also have for all .
So the difference of and converges to0: Vorlage:Einrücken Using the limit theorems, we hence get that and have the same limit. This limit is Vorlage:Einrücken So , i.e. and is included in all intervals. All other real numbers or with can not be inside all intervals, since they either exceed as an upper bound or as a lower bound. More precisely, for , there is a and is not inside the interval . An analogous problem appears for . So there is exactly one real number included in all intervals.
We recap those considerations in a theorem:
Mathe für Nicht-Freaks: Vorlage:Satz
Application: Euler's number

We consider the sequence of intervals with and .
These can be shown to be nested intervals, which we will do in the following. In that case, both and converge. At first, Vorlage:Einrücken So is well-defined.
For a sequence of nested intervals, we need to establish two properties. At first, for all : (intervals are included in each other). This is done in two steps:
- The lower bounds are monotonously increasing, i.e. . This is done by showing , using Bernoulli's inequality:
- The upper bounds are monotonously increasing, i.e. .
Mathe für Nicht-Freaks: Vorlage:Aufgabe Since is monotonously increasing and decreasing, the intervals are included in each other, i.e. . So we have established the first property for nested intervals.
The second property is that interval sizes go to 0: Vorlage:Einrücken This works by bounding from above. Vorlage:Einrücken But now, , so Vorlage:Einrücken There is . If we are given any and choose a corresponding with , then Vorlage:Einrücken So the second property is also established and is indeed a sequence of nested intervals. The number included in all intervals is called Euler's number . The sequence of nested intervals can be used for making estimates, what is. For instance, . For greater , one would get even more digits, e.g. .
With the theorem above, there is Vorlage:Einrücken In the series chapter, we will show that with denoting the exponential series.
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