Complex sequences and series are fundamental to understanding analytic functions. They extend real number concepts to the complex plane, allowing us to explore convergence and divergence in two dimensions. These tools are crucial for representing functions as .

Convergence tests for complex series build on real series techniques. The comparison, ratio, and root tests help determine if a series converges absolutely or conditionally. Geometric and telescoping series provide important examples of convergent complex series with known sums.

Sequences and series in the complex domain

Complex sequences and series definitions

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  • A maps natural numbers to complex numbers, denoted as {zn}\{z_n\} where znz_n represents the nth term
  • The limit LL of a complex sequence {zn}\{z_n\} satisfies znL<ϵ|z_n - L| < \epsilon for all n>Nn > N, given any real number ϵ>0\epsilon > 0 and some natural number NN
  • A complex series, denoted as zn\sum z_n, adds the terms of a complex sequence
  • The nth partial sum of a complex series zn\sum z_n, denoted as sns_n, equals z1+z2+...+znz_1 + z_2 + ... + z_n
  • A complex series zn\sum z_n converges when its partial sum sequence {sn}\{s_n\} approaches a complex number SS, called the series sum

Convergence properties of complex sequences and series

  • A complex sequence {zn}\{z_n\} converges if and only if its real part {Re(zn)}\{Re(z_n)\} and imaginary part {Im(zn)}\{Im(z_n)\} sequences converge
  • The absolute value sequence {zn}\{|z_n|\} of a convergent complex sequence {zn}\{z_n\} with limit LL converges to L|L|
  • A complex series zn\sum z_n converges if and only if its real part series Re(zn)\sum Re(z_n) and imaginary part series Im(zn)\sum Im(z_n) converge
  • The term sequence {zn}\{z_n\} of a convergent complex series zn\sum z_n must approach 0
  • The Cauchy criterion states that zn\sum z_n converges if and only if for every ϵ>0\epsilon > 0, there exists NN such that zn+1+...+zn+p<ϵ|z_{n+1} + ... + z_{n+p}| < \epsilon for all n>Nn > N and all p1p \geq 1

Convergence of complex sequences and series

Limits and convergence of complex sequences

  • A complex sequence {zn}\{z_n\} converges to a limit LL if for any ϵ>0\epsilon > 0, there exists an NN such that znL<ϵ|z_n - L| < \epsilon for all n>Nn > N
  • Convergence of complex sequences requires both the real and imaginary parts to converge as real sequences ({Re(zn)}\{Re(z_n)\} and {Im(zn)}\{Im(z_n)\})
  • If a complex sequence {zn}\{z_n\} converges to LL, then the sequence of its absolute values {zn}\{|z_n|\} converges to L|L|
  • Examples of convergent complex sequences include {1/n+i/n2}\{1/n + i/n^2\} (converges to 0) and {eiθ/n}\{e^{i\theta}/n\} (converges to 0 for any real θ\theta)

Convergence of complex series

  • A complex series zn\sum z_n converges if and only if both its real part series Re(zn)\sum Re(z_n) and imaginary part series Im(zn)\sum Im(z_n) converge as real series
  • For a complex series zn\sum z_n to converge, the sequence of its terms {zn}\{z_n\} must converge to 0
  • The Cauchy criterion for complex series states that zn\sum z_n converges if and only if for every ϵ>0\epsilon > 0, there exists an NN such that zn+1+...+zn+p<ϵ|z_{n+1} + ... + z_{n+p}| < \epsilon for all n>Nn > N and all p1p \geq 1
  • Examples of convergent complex series include 1n2+in\sum \frac{1}{n^2+in} and (1)n(1+i)n\sum \frac{(-1)^n(1+i)}{n}

Tests for convergence of complex series

Comparison and absolute convergence tests

  • The comparison test states that if znan|z_n| \leq a_n for all nn, where an\sum a_n is a convergent real series, then zn\sum z_n converges
  • of a complex series zn\sum z_n implies its convergence, but a series may converge conditionally without absolute convergence
  • Examples of applying the comparison test include comparing inn2\sum \frac{i^n}{n^2} with 1n2\sum \frac{1}{n^2} (convergent) and 1+in\sum \frac{1+i}{n} with 1n\sum \frac{1}{n} (divergent)

Ratio and root tests for complex series

  • The ratio test states that if limnzn+1zn=L\lim_{n\to\infty} |\frac{z_{n+1}}{z_n}| = L, then zn\sum z_n converges absolutely for L<1L < 1, diverges for L>1L > 1, and is inconclusive for L=1L = 1
  • The root test states that if limn(zn)1/n=L\lim_{n\to\infty} (|z_n|)^{1/n} = L, then zn\sum z_n converges absolutely for L<1L < 1, diverges for L>1L > 1, and is inconclusive for L=1L = 1
  • Examples of applying the ratio test include (1+i)nn!\sum \frac{(1+i)^n}{n!} (converges) and n!(1i)n\sum n!(1-i)^n (diverges)
  • Examples of applying the root test include (1+i)nnn\sum \frac{(1+i)^n}{n^n} (converges) and nn(1i)nn!\sum \frac{n^n(1-i)^n}{n!} (diverges)

Sum of convergent geometric and telescoping series

Complex geometric series and their sums

  • A complex geometric series has the form zn=a+az+az2+...\sum z^n = a + az + az^2 + ..., where aa and zz are complex numbers
  • A complex geometric series converges if and only if z<1|z| < 1, and its sum equals a1z\frac{a}{1-z}
  • The sum of a finite geometric series with nn terms and common ratio zz is given by sn=a(1zn)1zs_n = \frac{a(1-z^n)}{1-z}, where aa is the first term
  • Examples of complex geometric series include (1+i2)n\sum (\frac{1+i}{2})^n (converges to 21i\frac{2}{1-i}) and (1i)n\sum (1-i)^n (diverges)

Telescoping series and their sums

  • A telescoping series has most terms cancel out, leaving only a finite number of terms contributing to the sum
  • The partial sums of a telescoping series can be written as sn=(b1c1)+(b2c2)+...+(bncn)s_n = (b_1 - c_1) + (b_2 - c_2) + ... + (b_n - c_n), where each cic_i cancels with the bi+1b_{i+1} term, except for the first and last terms
  • The sum of a convergent telescoping series equals the limit of its partial sums, found by evaluating the remaining terms after cancellation
  • Examples of telescoping series include 1n(n+1)\sum \frac{1}{n(n+1)} (converges to 1) and innin+1n+1\sum \frac{i^n}{n} - \frac{i^{n+1}}{n+1} (converges to 1i1-i)

Key Terms to Review (18)

Abel's Theorem: Abel's Theorem is a fundamental result in complex analysis that provides conditions under which a power series converges. Specifically, it states that if a power series converges on the boundary of its disk of convergence, then it converges uniformly on every compact subset contained within the open disk. This theorem helps in understanding the behavior of sequences and series of complex numbers and their limits.
Absolute convergence: Absolute convergence refers to the condition where a series converges when the absolute values of its terms are summed, meaning if the series $$\sum_{n=1}^{\infty} a_n$$ converges absolutely, then $$\sum_{n=1}^{\infty} |a_n|$$ also converges. This concept is crucial because it implies that the original series converges regardless of the order of its terms, ensuring stability in its summation. Understanding absolute convergence can help distinguish between conditionally convergent series and those that are absolutely convergent, which have desirable properties for analysis.
Analytic function: An analytic function is a complex function that is locally represented by a convergent power series. This means that in some neighborhood around any point in its domain, the function can be expressed as a sum of powers of the variable. Analytic functions have remarkable properties, including being infinitely differentiable and satisfying the Cauchy-Riemann equations, which are crucial in understanding the behavior of complex functions.
Bounded sequence: A bounded sequence is a sequence of complex numbers in which all terms are confined within a specific range, meaning there exist real numbers $M$ and $m$ such that for every term $z_n$ in the sequence, we have $m \leq |z_n| \leq M$. This concept is crucial as it helps determine the behavior of sequences, especially when considering convergence and limits. A bounded sequence may or may not converge, but if it does converge, its limit will also be bounded.
Cauchy Sequence: A Cauchy sequence is a sequence of complex numbers where, for every positive real number $\, \varepsilon$, there exists a positive integer $\, N$ such that for all integers $m, n \geq N$, the distance between the terms in the sequence is less than $\, \varepsilon$. This concept is crucial in understanding the completeness of the space of complex numbers, as it helps in determining whether sequences converge to a limit.
Compact Set: A compact set is a subset of a topological space that is both closed and bounded, which means it contains all its limit points and can fit within some finite 'box' of a certain size. Compactness is an essential property in complex analysis because it often ensures that certain sequences and functions behave nicely, particularly when dealing with convergence and continuity.
Complex sequence: A complex sequence is a list of complex numbers arranged in a specific order, often denoted as {z_n} where each term z_n is a complex number. These sequences can exhibit various behaviors, such as convergence or divergence, and are essential in analyzing functions of complex variables. Understanding the properties and limits of complex sequences is crucial for exploring deeper concepts in complex analysis, especially when dealing with series and functions.
Conditional convergence: Conditional convergence refers to the phenomenon where a series converges, but does not converge absolutely. This means that the series converges when the terms are taken in their original order, but if the absolute values of the terms are summed, the result is divergent. Understanding this concept is crucial when dealing with sequences and series, particularly in complex analysis, as it highlights important subtleties in convergence behavior.
Holomorphic Function: A holomorphic function is a complex function that is differentiable at every point in its domain, which also implies that it is continuous. This differentiability means the function can be represented by a power series around any point within its domain, showcasing its smooth nature. Holomorphic functions possess various important properties, including satisfying Cauchy-Riemann equations, which connect real and imaginary parts of the function and link them to complex analysis concepts like contour integrals and Cauchy's integral theorem.
Lim inf: The limit inferior, often denoted as lim inf, is the greatest lower bound of the set of limit points of a sequence or series. This concept is vital for analyzing the behavior of sequences and series of complex numbers, helping to understand convergence properties and the overall nature of the set of values that the sequence can take. In simpler terms, it provides a way to measure the smallest accumulation point that a sequence can approach as it progresses.
Lim sup: The limit superior, or 'lim sup', of a sequence is the largest limit point of that sequence. It provides a way to capture the behavior of the sequence as it approaches infinity, particularly when the sequence does not converge but oscillates or fluctuates. Understanding the lim sup helps in analyzing convergence, divergence, and the boundedness of sequences and series in complex analysis.
Limit Point: A limit point of a sequence or set is a point where every neighborhood around it contains at least one point from the sequence or set, different from itself. In the context of complex analysis, this concept is crucial for understanding the behavior of sequences of complex numbers and how they converge. Limit points help describe the clustering behavior of sequences and are essential in discussing concepts like convergence and compactness.
Open Set: An open set is a fundamental concept in topology that consists of points where, for every point in the set, there exists a neighborhood around that point which is entirely contained within the set. This concept is crucial for understanding the behavior of sequences and series of complex numbers since it helps in defining limits and continuity, ultimately influencing convergence criteria and properties of complex functions.
Power Series: A power series is an infinite series of the form $$ ext{f}(z) = ext{a}_0 + ext{a}_1 z + ext{a}_2 z^2 + ext{a}_3 z^3 + ...$$, where $$ ext{a}_n$$ are complex coefficients and $$z$$ is a complex variable. This type of series can represent analytic functions within a certain radius of convergence, connecting the concepts of sequences, analytic functions, and the broader realm of complex analysis.
Taylor Series: A Taylor series is an infinite series that represents a function as a sum of its derivatives evaluated at a single point, typically around zero (the Maclaurin series) or another point. This powerful tool allows complex functions to be expressed as polynomials, which can simplify analysis and calculations, especially in the context of complex functions, sequences, and series.
Uniformly convergent series: A uniformly convergent series is a sequence of functions that converge to a limit function uniformly, meaning that the rate of convergence is the same across the entire domain. This concept is crucial because it preserves properties like continuity and integrability in the limit function, providing a solid foundation for analysis in complex sequences and series. It contrasts with pointwise convergence, where the rate may vary for different points in the domain.
Weierstrass M-test: The Weierstrass M-test is a criterion for the uniform convergence of a series of functions. It states that if you have a series of functions that are bounded by a convergent series of constants, then the original series converges uniformly. This test is especially useful in dealing with sequences and series of complex numbers as well as in analyzing power series, ensuring that operations like integration and differentiation can be performed term-by-term.
Weierstrass Theorem on Uniform Convergence: The Weierstrass Theorem on Uniform Convergence states that if a sequence of continuous functions converges uniformly to a limit function on a closed interval, then the limit function is also continuous. This theorem connects the concept of uniform convergence with continuity, emphasizing how uniform convergence preserves important properties of functions.
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