Sequences and Series
Sequences and Series
Sequences
π‘ A sequence (of real numbers) is a transformation
We write instead of and denote a series with .
π Let a sequence. Then there exists at most one real number with the property:
Convergence and Limit
π‘ 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 .
π‘ 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 ().
π Let a sequence. The following statements are equivalent:
- converges to *
-
, such that*
π 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 .
π βSandwich Theoremβ, Squeeze Theorem:
Let , be two convergent sequences with the same limit . Let and be a sequence with the property that
Then converges to .
Monotony
π‘ Monotonically increasing/decreasing:
-
is monotonically increasing if:
-
is monotonically decreasing if:
π Weierstrassβ 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
π‘ 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.
π‘ The sequence , converges. The limit is
Eulerβs 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
π‘ A sequence is called bounded if the set of elements of the sequence is bounded.
π‘ A sequence is called a zero-sequence if
π‘ Every convergent sequence is bounded, but not necessarily the other way around.
π‘ The sequence is called a geometric sequence. It holds for all that .
π (Bernoulliβs Inequality).
π‘ 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 .
π‘ Limes superior and limes inferior ():
Let be a bounded sequence. As a consequence of Weierstrassβ 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 Weierstrassβ theorem.
We define
as the limes inferior of .
We define
as the limes superior of .
π‘ For the above definition of limes superior and inferior it holds that as .
π converges if and only if is bounded and .
π The Cauchy Criterion
The sequence converges if and only if
π‘ A sequence is called a Cauchy sequence if there exists a for all such that for all it holds that .
π‘ Every Cauchy sequence is bounded.
π‘ Every convergent sequence is a Cauchy sequence.
π‘ Every Cauchy sequence is convergent.
π‘ Every sequence that is not a Cauchy sequence is divergent.
Intervals
π‘ 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 .
π (Cauchy-Cantor.)
Let be a sequence of closed intervals with .
Then it holds that
If also then contains exactly one point.
Subsequences
π‘ A subsequence of a sequence is a sequence where
and is a transformation with the property
π (Bolzano-Weierstrass.)
Every bounded sequence contains a convergent subsequence.
π‘ 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
π‘ A sequence in is a transformation
We write instead of and denote a series with .
π‘ 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 .
π Let . The following statements are equivalent:
- .
π‘ Let . Then it holds that:
From which it follows that:
π‘ A convergent sequence in is bounded. That means:
π Cauchy-Sequence
- A sequence converges if and only if it is a Cauchy-sequence:
- Every bounded sequence has a convergent subsequence.
Series
Convergence
π‘ Let be a sequence in or . The notion of converge of the series
is based on the sequence of partial sums:
π‘ The series
is convergent, if the sequence of partial sums converges. In this case we define:
Important Series
π‘ (Geometric series.)
Let with . Then converges towards:
π‘ (Harmonic series.)
The series
diverges.
π Let and be convergent series, and let .
- Then is convergent and .
- Then is convergent and .
π (Cauchy Criterion.)
The series converges if and only if:
π Let be a series with . The series converges if and only if the sequence , of partial sums is bounded from above.
π (Comparison theorem.)
Let and be series with:
Then all of the following hold:
These implications also hold when there exists such that:
Absolute Convergence
π‘ The series is called absolutely convergent, if
is convergent.
π An absolutely convergent series is also convergent and it holds that:
π (Leibniz 1682).
Let be monotonically decreasing with and Then
converges and it holds that:
Rearrangements
π‘ A series is called a rearrangement of if there exists a bijective transformation
such that
π (Riemannβs 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 .
π (Dirichlet 1837).
If converges absolutely, then every rearrangement of the series has the same limit.
Convergence Criterions
π (Ratio test, Cauchy 1821).
Let with If
then the series converges absolutely.
If
then the series diverges.
π‘ The exponential function
We define the exponential function as:
(Note: this is a Taylor series expansion of )
π (Root test, Cauchy 1821).
-
If
then converges absolutely.
-
If
then and diverge.
π Let be a series (in or ). If exists, we define
The Power series
converges absolutely for all and diverges for all .
π‘ 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
π‘ Double summation
Consider the following:
Given a double sequence both of the following may be convergent with different limits:
is called a double series.
π‘ is a linear arrangement of the double series , if there exists a bijection
with .
π (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.
π‘ The Cauchy-Product of the two series
is the series
π 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
π Let be a sequence. We assume, that:
- exists
- There exists a function , such that
- converges.
Then it follows that:
π For every the sequence converges and