are a fundamental tool in complex analysis, allowing us to represent functions as infinite sums of complex terms. They're like a supercharged version of polynomials, letting us describe complex functions with incredible precision within specific regions.

Understanding power series convergence is crucial. The tells us where a series behaves nicely, converging absolutely inside a disc and potentially diverging outside. This concept is key to working with and manipulating power series effectively.

Power series and convergence

Definition and properties of power series

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  • A power series is an infinite series of the form n=0an(zc)n\sum_{n=0}^{\infty} a_n(z-c)^n, where ana_n are complex coefficients, cc is a complex number called the center of the series, and zz is a complex variable
  • Power series can be used to represent complex functions in a specific domain around the center cc
  • The convergence of a power series depends on the values of zz and the behavior of the coefficients ana_n

Radius and domain of convergence

  • The radius of convergence RR is a non-negative real number or infinity that determines the largest open disc centered at cc in which the power series converges
    • Inside the disc of convergence (zc<R|z-c| < R), the power series converges absolutely
    • On the boundary of the disc (zc=R|z-c| = R), the series may converge conditionally, diverge, or converge absolutely
    • Outside the disc (zc>R|z-c| > R), the series diverges
  • The radius of convergence can be determined using the ratio test or the root test on the coefficients ana_n of the power series
    • Ratio test: limnan+1an=L\lim_{n \to \infty} |\frac{a_{n+1}}{a_n}| = L, then R=1LR = \frac{1}{L} (if L=0L = 0, then R=R = \infty; if L=L = \infty, then R=0R = 0)
    • Root test: limnann=L\lim_{n \to \infty} \sqrt[n]{|a_n|} = L, then R=1LR = \frac{1}{L} (if L=0L = 0, then R=R = \infty; if L=L = \infty, then R=0R = 0)

Domain of convergence

Finding the domain of convergence

  • The domain of convergence is the set of all complex numbers zz for which the power series converges
  • For a power series centered at cc with radius of convergence RR, the domain of convergence is the open disc {zC:zc<R}\{z \in \mathbb{C} : |z-c| < R\}
  • To find the domain of convergence:
    1. Determine the radius of convergence RR using the ratio test or the root test on the coefficients ana_n
    2. Investigate the behavior of the power series at the boundary points (zc=R|z-c| = R) to determine if they should be included in the domain of convergence
    3. Express the domain of convergence using set notation or interval notation, depending on whether the boundary points are included

Examples of finding the domain of convergence

  • Example 1: For the power series n=0(z1)nn!\sum_{n=0}^{\infty} \frac{(z-1)^n}{n!}, the ratio test yields R=R = \infty, so the domain of convergence is C\mathbb{C} (the entire complex plane)
  • Example 2: For the power series n=0n!(z+2)n\sum_{n=0}^{\infty} n!(z+2)^n, the root test yields R=1eR = \frac{1}{e}, and the series converges at the boundary points. The domain of convergence is {zC:z+21e}\{z \in \mathbb{C} : |z+2| \leq \frac{1}{e}\} or [21e,2+1e][-2-\frac{1}{e}, -2+\frac{1}{e}] in interval notation

Manipulating power series

Addition and multiplication of power series

  • Power series can be added and multiplied term by term within their common domain of convergence
  • To add two power series with the same center cc, add their corresponding coefficients: n=0an(zc)n+n=0bn(zc)n=n=0(an+bn)(zc)n\sum_{n=0}^{\infty} a_n(z-c)^n + \sum_{n=0}^{\infty} b_n(z-c)^n = \sum_{n=0}^{\infty} (a_n+b_n)(z-c)^n. The resulting series has the same center cc and a radius of convergence at least equal to the smaller of the two original radii
  • To multiply two power series with the same center cc, use the Cauchy product: (n=0an(zc)n)×(n=0bn(zc)n)=n=0(k=0nakbnk)(zc)n\left(\sum_{n=0}^{\infty} a_n(z-c)^n\right) \times \left(\sum_{n=0}^{\infty} b_n(z-c)^n\right) = \sum_{n=0}^{\infty} \left(\sum_{k=0}^{n} a_k b_{n-k}\right)(z-c)^n. The resulting series has the same center cc and a radius of convergence at least equal to the smaller of the two original radii

Division of power series

  • To divide two power series with the same center cc, use long division of power series
  • The resulting series has the same center cc and a radius of convergence at least equal to the smaller of the two original radii, excluding any zeros of the denominator series
  • Example: To divide 11z=n=0zn\frac{1}{1-z} = \sum_{n=0}^{\infty} z^n by 1+z=n=01zn1+z = \sum_{n=0}^{1} z^n, perform long division to obtain 11z2=n=0(1)nz2n\frac{1}{1-z^2} = \sum_{n=0}^{\infty} (-1)^n z^{2n}, with a radius of convergence R=1R = 1

Differentiation and integration of power series

Term-by-term differentiation

  • Power series can be differentiated term by term within their domain of convergence
  • To differentiate a power series n=0an(zc)n\sum_{n=0}^{\infty} a_n(z-c)^n term by term, multiply each coefficient ana_n by nn and decrease the exponent of (zc)(z-c) by 1: ddzn=0an(zc)n=n=1nan(zc)n1\frac{d}{dz} \sum_{n=0}^{\infty} a_n(z-c)^n = \sum_{n=1}^{\infty} na_n(z-c)^{n-1}. The resulting series has the same center cc and radius of convergence as the original series
  • Example: Differentiating the geometric series 11z=n=0zn\frac{1}{1-z} = \sum_{n=0}^{\infty} z^n yields 1(1z)2=n=1nzn1\frac{1}{(1-z)^2} = \sum_{n=1}^{\infty} nz^{n-1}, with the same radius of convergence R=1R = 1

Term-by-term integration

  • Power series can be integrated term by term within their domain of convergence
  • To integrate a power series n=0an(zc)n\sum_{n=0}^{\infty} a_n(z-c)^n term by term, divide each coefficient ana_n by (n+1)(n+1) and increase the exponent of (zc)(z-c) by 1: (n=0an(zc)n)dz=n=0ann+1(zc)n+1+C\int \left(\sum_{n=0}^{\infty} a_n(z-c)^n\right)dz = \sum_{n=0}^{\infty} \frac{a_n}{n+1}(z-c)^{n+1} + C. The resulting series has the same center cc and radius of convergence as the original series
  • Example: Integrating the geometric series 11z=n=0zn\frac{1}{1-z} = \sum_{n=0}^{\infty} z^n yields ln(1z)=n=0zn+1n+1+C-\ln(1-z) = \sum_{n=0}^{\infty} \frac{z^{n+1}}{n+1} + C, with the same radius of convergence R=1R = 1

Key Terms to Review (17)

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.
Augustin-Louis Cauchy: Augustin-Louis Cauchy was a French mathematician whose pioneering work laid the foundation for modern analysis, particularly in complex analysis. His contributions, including the formulation of essential theorems and equations, have influenced various fields of mathematics and physics, establishing principles that remain vital today.
Cauchy-Hadamard Theorem: The Cauchy-Hadamard Theorem provides a way to determine the radius of convergence for power series. It states that the radius of convergence, denoted as R, can be found using the formula $$\frac{1}{R} = \limsup_{n \to \infty} \sqrt[n]{|a_n|}$$, where {a_n} represents the coefficients of the power series. This theorem is crucial for understanding where a given power series converges or diverges, linking it to the behavior of complex functions.
Differentiation of Power Series: Differentiation of power series refers to the process of finding the derivative of a power series term by term. This technique is valid within the interval of convergence, allowing for the manipulation and analysis of power series in calculus. By differentiating a power series, one can derive new series that converge to the derivatives of the original function, thereby facilitating further calculations and evaluations in complex analysis.
Exponential Function: An exponential function is a mathematical function of the form $$f(z) = a e^{bz}$$, where $$a$$ and $$b$$ are constants, $$e$$ is Euler's number (approximately 2.71828), and $$z$$ is a complex variable. This function is significant because it models growth and decay processes and has unique properties like continuity and differentiability, connecting deeply with other concepts such as mappings, poles, transforms, and series expansions.
Integration of Power Series: The integration of power series refers to the process of finding the integral of a function that is expressed as a power series. This process is significant because it allows for the computation of integrals of functions that may be difficult or impossible to integrate using standard techniques, and it maintains the same radius of convergence as the original series. By integrating term by term within the interval of convergence, we can derive new functions from existing ones.
Interval of Convergence: The interval of convergence refers to the set of values for which a power series converges to a finite limit. This concept is crucial in understanding the behavior of power series, as it defines the range of inputs where the series provides valid and meaningful results. Knowing the interval of convergence allows us to determine the values at which we can safely evaluate the series and ensures that our calculations are accurate within this specified range.
Joseph-Louis Lagrange: Joseph-Louis Lagrange was an influential mathematician and astronomer from the 18th century, renowned for his contributions to various areas of mathematics, including calculus, number theory, and mechanics. He played a crucial role in the development of power series, which are infinite series used to represent functions as sums of terms calculated from the values of their derivatives at a single point.
Laurent series: A Laurent series is a representation of a complex function as a series that includes both positive and negative powers of the variable, typically centered around a singularity. This series provides insights into the behavior of complex functions in regions that include singular points, allowing for the analysis of their properties such as convergence and residues.
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.
Radius of convergence: The radius of convergence is the distance from the center of a power series within which the series converges to a finite value. This concept is crucial when dealing with power series, as it determines the interval where the series behaves nicely and can be used to approximate functions. Understanding the radius of convergence helps in analyzing Taylor and Laurent series as well, as it informs us about the conditions under which these series represent functions accurately.
Singularity: In complex analysis, a singularity refers to a point at which a complex function ceases to be well-defined or analytic. Singularities are important because they help classify functions and determine their behavior, especially when dealing with integrals and residues in complex planes.
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.
Trigonometric functions: Trigonometric functions are mathematical functions that relate the angles of a triangle to the lengths of its sides, and they are fundamental in studying periodic phenomena. These functions, such as sine, cosine, and tangent, play a crucial role in various areas of mathematics and physics, particularly in the context of complex analysis where they can be represented in terms of exponential functions through Euler's formula. Their connections to meromorphic functions and power series further deepen their significance in complex variables.
Uniform Convergence: Uniform convergence is a type of convergence for sequences of functions where the speed of convergence is uniform across the entire domain. This means that for any chosen level of accuracy, there is a single point in the domain from which all functions converge uniformly, ensuring the limit function preserves continuity and other properties of the original functions.
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.
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