Math for Non-Geeks/Monotonicity criterion
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In this chapter, we will prove that monotone and bounded functions converge. So if you have a bounded sequence, which in addition is monotone, 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 monotone and bounded sequences
File:Konvergenz beschränkter monotoner Folgen - Quatematik.webm Math for Non-Geeks: Template:Satz
An example
Math for Non-Geeks: Template:Aufgabe
Math for Non-Geeks: Template: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 monotonicity criterion:
We take a look at the two sequences and , i.e. upper and lower bounds of the intervals.
- Since there is
Template:Math So is monotonically increasing and monotonically decreasing.
- Since and , the sequence is bounded from above by and conversely, is bounded from below by .
The monotonicity 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 Template:Math
As we also have for all .
So the difference of and converges to0: Template:Math Using the limit theorems, we hence get that and have the same limit. This limit is Template:Math 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:
Math for Non-Geeks: Template: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, Template:Math 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 monotonically increasing, i.e. . This is done by showing , using Bernoulli's inequality:
- The upper bounds are monotonically increasing, i.e. .
Math for Non-Geeks: Template:Aufgabe Since is monotonically 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: Template:Math This works by bounding from above. Template:Math But now, , so Template:Math There is . If we are given any and choose a corresponding with , then Template:Math 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 Template:Math In the series chapter, we will show that with denoting the exponential series.
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