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Sequences and Series

Sequences and Series

Sequences

πŸ’‘ A sequence (of real numbers) is a transformation

We write instead of and denote a series with .

πŸ“Œ Let a sequence. Then there exists at most one real number with the property:

Convergence and Limit

πŸ’‘ A sequence is called convergent if there exists such that the set

is finite. By lemma, if such a number exists it is uniquely determined, and is denoted

and is called the limit of the sequence .

πŸ’‘ In other words, a sequence has a limit if and only if there exist only a finite number of elements of the sequence outside an arbitrarily large surrounding area of ().

πŸ“Œ Let a sequence. The following statements are equivalent:

  • converges to *
  • , such that*

πŸ“– Let and convergent sequences with , .

  • Then is convergent and .
  • Then is convergent and
  • Assume, that and . Then is convergent and
  • If there exists with then it follows that .

πŸ“– β€œSandwich Theorem”, Squeeze Theorem:

Let , be two convergent sequences with the same limit . Let and be a sequence with the property that

Then converges to .

Monotony

πŸ’‘ Monotonically increasing/decreasing:

  • is monotonically increasing if:

  • is monotonically decreasing if:

πŸ“– Weierstrass’ Theorem (Monotony Convergence Theorem):

  • Let be monotonically increasing and bounded from above. Then converges towards

  • Let be monotonically decreasing and bounded from below. Then converges towards

πŸ’‘ In other words, the above theorem say that if a sequence is monotonically in-/decreasing and it is bounded from above/below respectively, then it is a convergent sequence.

πŸ’‘ The sequence , converges. The limit is

Euler’s number .

The sequence can be applied in compounding interest rates, for example: Assume you take out a loan for 1 CHF, with 100% yearly interest rate. When compounding once a year (), well, you owe 2 CHF as given by . When compounding twice a year () you owe 2.25 CHF as given by .

Every month (): .

Every day ():

At max, you will owe CHF.

Boundedness

πŸ’‘ A sequence is called bounded if the set of elements of the sequence is bounded.

πŸ’‘ A sequence is called a zero-sequence if

πŸ’‘ Every convergent sequence is bounded, but not necessarily the other way around.

πŸ’‘ The sequence is called a geometric sequence. It holds for all that .

πŸ“Œ (Bernoulli’s Inequality).

πŸ’‘ Fixed-point Interation:

Used for recursive sequences.

Example: is the solution of the equation

Let . That means that . This equation is called a fixed-point equation for the function .

The corresponding fixed-point iteration is given by .

πŸ’‘ Limes superior and limes inferior ():

Let be a bounded sequence. As a consequence of Weierstrass’ theorem we can define two monotonous and convergent sequences and from .

Let . For every we define

For every , the set

is also bounded and it holds that

  • , i.e., from which follows that grows as grows
  • , i.e., from which follows that shrinks as grows

The two sequences and converge by Weierstrass’ theorem.

We define

as the limes inferior of .

We define

as the limes superior of .

πŸ’‘ For the above definition of limes superior and inferior it holds that as .

πŸ“Œ converges if and only if is bounded and .

πŸ“– The Cauchy Criterion

The sequence converges if and only if

πŸ’‘ A sequence is called a Cauchy sequence if there exists a for all such that for all it holds that .

πŸ’‘ Every Cauchy sequence is bounded.

πŸ’‘ Every convergent sequence is a Cauchy sequence.

πŸ’‘ Every Cauchy sequence is convergent.

πŸ’‘ Every sequence that is not a Cauchy sequence is divergent.

Intervals

πŸ’‘ A closed interval is a subset of the form

We define the length of the interval as

Clearly . The closed interval is a bounded subset of if and only if .

πŸ“– (Cauchy-Cantor.)

Let be a sequence of closed intervals with .

Then it holds that

If also then contains exactly one point.

Subsequences

πŸ’‘ A subsequence of a sequence is a sequence where

and is a transformation with the property

πŸ“– (Bolzano-Weierstrass.)

Every bounded sequence contains a convergent subsequence.

πŸ’‘ Let be a bounded sequence. Then the following holds for every convergent subsequence :

Also, there exist two subsequences of that approach respectively in their limit.

Sequences in and

πŸ’‘ A sequence in is a transformation

We write instead of and denote a series with .

πŸ’‘ A sequence in is called convergent, if there exists such that:

If such a number exists it is uniquely determined, and is denoted

and is called the limit of the sequence .

Let be the coordinates of .

πŸ“– Let . The following statements are equivalent:

  1. .

πŸ’‘ Let . Then it holds that:

From which it follows that:

πŸ’‘ A convergent sequence in is bounded. That means:

πŸ“– Cauchy-Sequence

  1. A sequence converges if and only if it is a Cauchy-sequence:

  1. Every bounded sequence has a convergent subsequence.

Series

Convergence

πŸ’‘ Let be a sequence in or . The notion of converge of the series

is based on the sequence of partial sums:

πŸ’‘ The series

is convergent, if the sequence of partial sums converges. In this case we define:

Important Series

πŸ’‘ (Geometric series.)

Let with . Then converges towards:

πŸ’‘ (Harmonic series.)

The series

diverges.

πŸ“– Let and be convergent series, and let .

  1. Then is convergent and .
  2. Then is convergent and .

πŸ“– (Cauchy Criterion.)

The series converges if and only if:

πŸ“– Let be a series with . The series converges if and only if the sequence , of partial sums is bounded from above.

πŸ“Ž (Comparison theorem.)

Let and be series with:

Then all of the following hold:

These implications also hold when there exists such that:

Absolute Convergence

πŸ’‘ The series is called absolutely convergent, if

is convergent.

πŸ“– An absolutely convergent series is also convergent and it holds that:

πŸ“– (Leibniz 1682).

Let be monotonically decreasing with and Then

converges and it holds that:

Rearrangements

πŸ’‘ A series is called a rearrangement of if there exists a bijective transformation

such that

πŸ“– (Riemann’s Rearrangement Theorem).

Let be a conditionally convergent series (a series which is convergent but not absolutely convergent). Then, for every there exists a rearrangement of the series which converges towards .

πŸ“– (Dirichlet 1837).

If converges absolutely, then every rearrangement of the series has the same limit.

Convergence Criterions

πŸ“– (Ratio test, Cauchy 1821).

Let with If

then the series converges absolutely.

If

then the series diverges.

πŸ’‘ The exponential function

We define the exponential function as:

(Note: this is a Taylor series expansion of )

πŸ“– (Root test, Cauchy 1821).

  1. If

    then converges absolutely.

  2. If

    then and diverge.

πŸ“Ž Let be a series (in or ). If exists, we define

The Power series

converges absolutely for all and diverges for all .

πŸ’‘ Let and

The function is called the Riemann zeta function.

The uniquely determined complex analytic continuation of , which extends the domain of to all of , is the function underlying the Riemann hypothesis conjecturing that all roots of the function have a Real part of exactly 0.5, which is currently an unsolved millenium problem.

Double Series

πŸ’‘ Double summation

Consider the following:

Untitled

Given a double sequence both of the following may be convergent with different limits:

is called a double series.

πŸ’‘ is a linear arrangement of the double series , if there exists a bijection

with .

πŸ“– (Cauchy 1821).

Assume, there exists such that

Then the following series converge absolutely:

as well as

and it holds that:

Also, every linear arrangement of the double series converges absolutely towards the same limit.

πŸ’‘ The Cauchy-Product of the two series

is the series

πŸ“– If the series

converge absolutely, then their Cauchy product converges and the following holds:

Application: Cauchy-Product of the Exponential Function

Cauchy-Product of the Exponential Function

Can you swap summation and limit?

In this context we will think of a sequence in as a function

πŸ“– Let be a sequence. We assume, that:

  1. exists
  2. There exists a function , such that
    1. converges.

Then it follows that:

πŸ“Ž For every the sequence converges and

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