Lecture from: 06.03.2024 | Video: Video ETHZ
This lecture continues our exploration of sequences and introduces the concept of accumulation points, extends our understanding to sequences in higher dimensions and complex numbers, and provides a foundational introduction to series.
Accumulation Points (Häufungspunkte)
Clicker Question and Motivation
Consider the sequence that is an enumeration of the rational numbers in the interval .
- What is the limit inferior of ?
- What is the limit superior of ?
- Is a limit of a subsequence of ?
Answers and Explanation:
- Limit Inferior: . Since the sequence contains rational numbers arbitrarily close to 0, the infimum of the tail of the sequence will approach 0.
- Limit Superior: . Similarly, the sequence contains rational numbers arbitrarily close to 1, so the supremum of the tail approaches 1.
- Is a limit of a subsequence? Yes! Since the rational numbers are dense in , for any , the interval contains infinitely many rational numbers (and thus infinitely many terms of the sequence ).
Demonstration for :
For any , consider the interval . This interval contains infinitely many rational numbers because is dense in . Therefore, we can always find terms of the sequence within this interval. This observation motivates the concept of accumulation points.
Definition of Accumulation Point
Let be a sequence of real numbers. A real number is called an accumulation point (or cluster point, limit point, Häufungspunkt) of if there exists a subsequence that converges to .
Analogously, we say that (or ) is an accumulation point of if there exists a subsequence that converges to (or ).
Example: Accumulation Points of
Consider the sequence . We identified earlier that and .
Let’s find subsequences converging to and :
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Subsequence converging to 1: Consider the subsequence of terms with even indices, . As , . Thus, 1 is an accumulation point.
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Subsequence converging to -1: Consider the subsequence of terms with odd indices, . As , . Thus, -1 is an accumulation point.
In fact, for , the accumulation points are precisely .
Accumulation Points for the Enumeration of Rationals in
For the sequence that enumerates , what is the set of all accumulation points?
Answer: Every real number in the interval is an accumulation point of .
Justification: Let be any real number. Since is dense in , for any , the interval contains infinitely many rational numbers. Thus, we can construct a subsequence of that converges to . Start by picking a term in . Then pick with in , and so on. This subsequence will converge to .
Connection between Accumulation Points, Limit Inferior, and Limit Superior
Let be a real sequence.
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The limit inferior is the smallest accumulation point of . The limit superior is the largest accumulation point of .
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A sequence converges to a limit if and only if is the unique accumulation point of .
Sequences in and
Definition of Sequences in
A sequence in is a function . We write instead of and denote the sequence as . Each term is a vector in .
Recall: Euclidean Norm in
For , the Euclidean norm is defined as:
Convergence of Sequences in
A sequence in is called convergent if there exists a vector such that for every , there exists such that for all , .
If such an exists, it is uniquely determined and is called the limit (Grenzwert) of the sequence . We write .
Cauchy Sequences in
A sequence in is called a Cauchy sequence if for every , there exists such that for all , .
Bounded Sequences in
A sequence in is called bounded if there exists such that for all , .
Component-wise Convergence in
Let be a sequence in , where . Let . Then:
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Convergence Equivalence: The sequence converges to in if and only if for each component , the sequence of -th components converges to in .
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Cauchy Sequence Equivalence: The sequence is a Cauchy sequence in if and only if for each component , the sequence of -th components is a Cauchy sequence in .
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Boundedness Equivalence: The sequence is bounded in if and only if for each component , the sequence of -th components is bounded in .
Proof Idea
These equivalences rely on the relationship between the norm in and the components. For and :
Taking square roots:
This shows that convergence, Cauchy property, and boundedness in are equivalent to the same properties holding component-wise in .
Detailed Implication for Convergence:
Let and .
() Assume . Then for every , there is such that for , . Since , we have for each .
() Assume for all . For each and , there is such that for , . Let . For , for all , . Then,
Thus, .
Convergence of Sequences in
Since can be identified with , the concept of convergence in is analogous to convergence in . For a complex sequence , where , and a complex number , we have:
Equivalently, if and only if .
Algebraic Limit Laws for Complex Sequences:
The algebraic limit laws (sum, product, quotient) discussed for real sequences also hold for complex sequences. For example, if and , then and .
Example: Convergence of a Complex Sequence
Consider the complex sequence .
To determine the limit of this sequence, we analyze the real and imaginary parts separately:
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Real Part: . As , the numerator oscillates between -1 and 1, while the denominator grows infinitely large. Therefore, the real part converges to 0:
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Imaginary Part: . We can rewrite this as: As , , so the imaginary part converges to 1:
Since both the real and imaginary parts converge, the complex sequence converges to the complex number formed by these limits:
Thus, .
Introduction to Series (Reihen)
Definition of a Series
Let be a sequence in or . A series is formally denoted as . It is defined as the sequence of partial sums , where .
The series is said to be convergent if the sequence of partial sums converges. In this case, the value of the series is defined as:
If the sequence diverges, the series is said to be divergent.
Geometric Series Example
Let with . Consider the geometric series .
Let’s find the partial sums .
Multiply by : .
Subtract from : .
If , then .
Since , we know that . Therefore,
Thus, the geometric series converges to when .
Example Calculation: .
Divergent Harmonic Series Example
Consider the harmonic series .
This series is divergent.
The partial sums increase by at least in each group, so they will grow without bound. The partial sums of the harmonic series are not convergent.
Algebraic Properties of Convergent Series
Let and be convergent series, and let (or ). Then:
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The series is convergent, and
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The series is convergent, and
Proof Sketch for (2)
Let be the partial sums of . Let . Then . If converges to , then .
Series as Telescoping Sums
Question: Is every sequence a series?
Answer: Yes, every sequence can be represented as a series.
Let be a sequence. Define , and for , . Then consider the series . The partial sums are:
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This is a telescoping sum. Thus, the partial sums of are exactly the terms of the sequence . Therefore, the series converges if and only if the sequence converges, and the value of the series is .
Importance of Series: While every sequence can be seen as a series, the series perspective is often very useful in theory and applications. Infinite sums arise naturally in many areas, from ancient paradoxes like Zeno’s paradox to modern applications in electro-technology (Fourier series) and beyond. The theory of series provides powerful tools for analyzing and working with infinite sums.
Continue here: 07 Series Cauchy Criterion, Absolute and Conditional Convergence, Riemann Rearrangement Theorem, Dirichlet’s Theorem