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The Stolz Theorem, Stolz's Limit Theorem or Stolz-Cesàro's Theorem is about limit values in mathematics . It is named after the Austrian mathematician Otto Stolz (1842-1905) and the Italian mathematician Ernesto Cesàro (1859-1906).

sentence

Are and follow in with

  1. and strictly decreasing monotonically or
  2. and growing in a strictly monotonous manner

and the limit exists

,

then applies:

.

Proof of the second case

Following the adoption of convergence of difference quotient with a threshold exists for each one , so all the difference quotient to the index in the area is. So there is one with for each

;

for applies .

If one adds up these relationships according to from to , one obtains the equation

.

Thus applies to the quotient of the terms of the sequence

The first summand on the right-hand side converges to zero, since the sequence grows indefinitely. For the same reason the second term converges to . Because of the monotony of the sequence , the following applies to the third summand

.

One can now find a, so that the difference to the limit value is also limited for all in the first two summands by , for all one then receives the estimate

,

thus the sequence of quotients converges to .

To reverse

The reverse of the above sentence is generally wrong. Looking at the two episodes

then applies . However, the consequence has no limit.

generalization

Let two further sequences be given and such that and . Furthermore, let it grow in a strictly monotonous and unlimited manner.

Out

then follows

.

The above requirements are z. B. fulfilled by

  • the harmonic sequence , d. H. ,
  • any sequence with a positive limit, such as , d. H. ,
  • each monotonically increasing sequence, like , d. H. .

Remarks

A special case is Cauchy's limit theorem , that the sequence of the Cesàro means of a convergent sequence converges again to the limit value of the sequence.

In a sense, Stolz's theorem for calculating limit values ​​for sequences is an analogue to de l'Hospital’s rule for calculating limit values ​​for functions.

literature

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