Divergence to infinity – Serlo

Until to now, we investigated when and how a sequence diverges. In this chapter, we will investigate divergent series. Not every divergent series behaves the same: some can be seen to diverge to or (so we can assign a formal limit to them) and some don't.

Motivation

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Some sequences do not converge, but they unambiguously tend to   or  . For instance consider the sequences  ,   and  :

We will give a mathematical definition which classifies these sequences as diverging towards   or  . Some other sequences may not diverge this way. For instance, consider   or   .

The sequence   is bounded and can therefore neither tend to  , not to   .

The sequence   is unbounded, but contains parts (subsequences) tending towards   and parts tending towards   :

Definition

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We have observed some sequences, which tend towards   or   . How can we give a mathematically precise classification for this observation?

Let us start with divergence to  : "A sequence diverges to  " means that it grows larger than any number  , no matter how large (since   is greater than any  ). Even further, almost all sequence elements must be greater than   . Or equivalently, we need a sequence element number  , such that any element coming after it is bigger than   . Indeed, this is already sufficient as condition for divergence to  :

Definition (Divergence to  )

A sequence   diverges to  , if for any   almost all sequence elements are greater or equal to   . That means, for all   , there is an index  , such that   for all  . In quantifier notation:

 

We can translate this quantifier notation piece by piece:

 

Divergence to   is just defined analogously:

Definition (Divergence to  )

A sequence   diverges to  , if for any   almost all sequence elements are lower or equal to   . That means, for all   , there is an index  , such that   for all  . In quantifier notation:

 

Notation

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For   diverging to   , we write

 

Analogously, for   diverging to   , we write

 

Examples

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Example

 

Example (geometric sequence)

We have seen in the article "unbounded sequences diverge" that the geometric sequence   diverges for  . The reason is that for any   and any real number   , the inequality   holds for almost all   . Therefore,   for  . However, if  , there is neither a divergence to   nor to  : For even   , the sequence element   is positive and for   , it is negative. Hence, the geometric sequence   cannot diverge for   . For   and  , it is convergent.

Improper convergence

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The notation   suggests that   kind of "converges" to infinity. This is no convergence in the usual sense, since the symbolic expression   is not a number. However, the divergence to   has a lot in common with convergence to a number (except for boundedness):

Convergence Divergence to  
In each  -neighbourhood (interval), we can find almost all sequence elements. In each interval  , we can find almost all sequence elements.
All subsequences converge to the same limit. All subsequences also diverge to  .
Every convergent sequence is bounded. Every sequence diverging to   is unbounded.

Especially, some of the limit theorems hold true for   and in some cases, one may threat a sequence diverging to  , similar as a convergent sequence. Sometimes, the divergence to   is even called "improper convergence". However, always keep in mind that an an improper convergence is still a divergence.

Warning

Some sequences are called "improperly convergent". Despite their name, they are actually divergent sequences. Some limit theorems still hold for improperly divergent sequences, for instance the product rule   in case both sequences diverge. If one sequence converges and a second one diverges, some rules may also turn out wrong. For instance,

 

Applying the product rule to a product of a convergent and divergent sequence leads to the wrong result  . Always be careful, when using limit theorems for improperly convergent sequences! In the article "Divergence to infinity: rules" we will find out, which rules for limit calculations still hold for improperly convergent sequences.