Power Series and Radius of Convergence
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Power Series and Radius of Convergence
A power series is a function represented as an infinite sum of terms involving powers of $x$, and determining precisely where this infinite sum adds up to a finite number is the cornerstone of using it for approximation, analysis, and solving differential equations. Mastering the radius of convergence and the behavior at the interval's endpoints transforms a mysterious infinite series into a precise and powerful tool for representing functions.
What is a Power Series?
Formally, a power series centered at a point $a$ is an expression of the form:
$$\sum_{n=0}^{\infty} c_n (x - a)^n = c_0 + c_1(x-a) + c_2(x-a)^2 + \cdots$$
Here, the coefficients $c_n$ are constants, $a$ is the center, and $x$ is the variable. When $a=0$, the series simplifies to $\sum_{n=0}^{\infty} c_n x^n$. The fundamental question is: for which values of $x$ does this infinite sum converge to a finite number? The answer is always an interval of convergence centered at $x=a$.
The radius of convergence, denoted by $R$, is a non-negative number or infinity that defines the distance from the center $a$ within which the series converges absolutely. The set of all $x$ for which the series converges—the interval of convergence—is then $(a-R, a+R)$, possibly including one or both endpoints. For $|x-a| > R$, the series diverges.
Finding the Radius and Interval of Convergence
Two primary tests are used to find $R$: the Ratio Test and the Root Test. They are applied to the absolute value of the series' terms.
The Ratio Test is the most common tool. For a power series $\sum c_n (x-a)^n$, you compute the limit
$$L = \lim_{n \to \infty} \left| \frac{c_{n+1}(x-a)^{n+1}}{c_n (x-a)^n} \right| = |x-a| \lim_{n \to \infty} \left| \frac{c_{n+1}}{c_n} \right|.$$
By the Ratio Test, the series converges absolutely when $L < 1$. This inequality, $|x-a| \cdot \lim |c_{n+1}/c_n| < 1$, directly solves to $|x-a| < R$, where the radius is
$$R = \frac{1}{\lim_{n \to \infty} \left| \frac{c_{n+1}}{c_n} \right|},$$
provided this limit exists. If the limit is 0, then $R = \infty$; if the limit is infinity, then $R=0$.
The Root Test is similarly applied. Compute
$$L = \lim_{n \to \infty} \sqrt[n]{|c_n (x-a)^n|} = |x-a| \lim_{n \to \infty} \sqrt[n]{|c_n|}.$$
Again, convergence is guaranteed when $L < 1$, yielding $|x-a| < R$ with
$$R = \frac{1}{\lim_{n \to \infty} \sqrt[n]{|c_n|}}.$$
Example: Find the radius and interval of convergence for $\sum_{n=1}^{\infty} \frac{x^n}{n}$.
We use the Ratio Test:
$$\lim_{n \to \infty} \left| \frac{x^{n+1}}{n+1} \cdot \frac{n}{x^n} \right| = |x| \lim_{n \to \infty} \frac{n}{n+1} = |x|.$$
The series converges absolutely when $|x| < 1$, so $R=1$. The interval of convergence is centered at 0 with radius 1: $(-1, 1)$. We must check the endpoints separately. At $x=1$, the series is the harmonic series $\sum 1/n$, which diverges. At $x=-1$, the series is the alternating harmonic series $\sum (-1)^n/n$, which converges conditionally. Therefore, the interval of convergence is $[-1, 1)$.
Term-by-Term Operations
One of the most powerful features of power series within their interval of convergence is that they behave like polynomials. Specifically, within the open interval $|x-a| < R$:
- Term-by-Term Differentiation: The derivative of the series is the series of the derivatives.
$$f(x) = \sum_{n=0}^{\infty} c_n (x-a)^n \quad \Rightarrow \quad f'(x) = \sum_{n=1}^{\infty} n c_n (x-a)^{n-1}.$$
The new series also has radius of convergence $R$.
- Term-by-Term Integration: The integral of the series is the series of the integrals.
$$\int f(x) \, dx = C + \sum_{n=0}^{\infty} \frac{c_n}{n+1} (x-a)^{n+1}.$$
The new series also has radius of convergence $R$.
These properties are foundational for solving differential equations with series methods and for finding new power series representations from known ones. For example, starting with the geometric series $\frac{1}{1-x} = \sum_{n=0}^{\infty} x^n$ for $|x|<1$, you can integrate term-by-term to find the series for $-\ln|1-x|$.
Boundary Behavior and Abel's Theorem
The behavior of a power series at the endpoints $x = a \pm R$ of its interval of convergence can be tricky, involving conditional convergence or divergence. Abel's Theorem provides a crucial insight about continuity at a convergent endpoint.
Abel's Theorem states: If the power series $\sum c_n (x-a)^n$ converges at the right endpoint $x = a + R$ (where $R$ is the radius of convergence), then the series converges uniformly on the interval $[a, a+R]$. Consequently, the function $f(x)$ defined by the series is left-continuous at this endpoint:
$$\lim_{x \to (a+R)^{-}} f(x) = \sum_{n=0}^{\infty} c_n R^n.$$
An analogous result holds for the left endpoint.
This theorem is vital for evaluating sums of convergent numerical series. For instance, we know the series for $\ln(1+x)$ is $x - x^2/2 + x^3/3 - \cdots$ with $R=1$ and it converges at $x=1$ (alternating harmonic series). Abel's Theorem guarantees that as $x \to 1^{-}$, the series sum approaches $\ln(2)$, confirming that $1 - 1/2 + 1/3 - \cdots = \ln(2)$.
Applications: Representing Functions as Power Series
The ultimate utility of power series lies in representing complex functions with infinite polynomials, enabling approximation, integration, and computation.
- Analytic Functions: A function
$f$is analytic at a point$a$if it can be represented by a power series converging on some interval around$a$. Common examples include$e^x$,$\sin x$, and$\cos x$, which have series convergent for all$x$(i.e.,$R=\infty$). - Taylor and Maclaurin Series: The specific power series representation of a function
$f$about$a$is given by its Taylor series:
$$\sum_{n=0}^{\infty} \frac{f^{(n)}(a)}{n!} (x-a)^n.$$
Finding the radius of convergence of this series tells you the domain on which this representation of $f$ is valid.
- Solving Differential Equations: Many differential equations without elementary solutions can be solved by assuming a solution in the form of a power series
$y = \sum c_n x^n$, substituting into the equation, and solving for the coefficients term-by-term. The first step is always to find the radius of convergence for the resulting series solution.
Common Pitfalls
- Confusing Radius and Interval of Convergence: The radius
$R$only gives the open interval$(a-R, a+R)$. You must test each endpoint$x = a \pm R$separately using other convergence tests (like the Alternating Series Test or p-series test) to determine the full interval of convergence. A series may converge at neither, one, or both endpoints. - Misapplying the Ratio/Root Test Formula: The formulas
$R = 1 / \lim |c_{n+1}/c_n|$and$R = 1 / \lim \sqrt[n]{|c_n|}$are derived from the condition$L<1$. If this limit is zero,$R$is infinite. If the limit does not exist, you must use the full limit definition ($\limsup$for the Root Test) rather than a simple formula. - Assuming Operations Preserve Convergence at Endpoints: Term-by-term differentiation and integration preserve the radius of convergence
$R$, but they can alter behavior at the endpoints. A series might converge at an endpoint, but its derivative series might diverge there. Always re-check endpoints after differentiation or integration. - Overlooking Conditional Convergence: At an endpoint, a series may converge conditionally (like the alternating harmonic series). When dealing with such series, the rules for finite sums do not always apply; rearranging terms can change the sum. Abel's Theorem is valuable here because it links the sum of the series at a conditionally convergent endpoint to the limit of the function from inside the interval.
Summary
- A power series
$\sum c_n (x-a)^n$converges within a symmetric interval of convergence centered at$a$, defined by its radius of convergence$R$. - The Ratio Test and Root Test are the primary tools for finding
$R$. The interval is found by testing the convergence of the series at each endpoint$x = a \pm R$separately. - Within the open interval
$|x-a| < R$, power series can be differentiated and integrated term-by-term to yield new series with the same radius of convergence. - Abel's Theorem describes the continuous behavior of a power series function at a convergent endpoint, providing a rigorous link between the series sum and the limit of the function.
- Power series representations (like Taylor series) are essential for working with analytic functions, performing approximations, integrating non-elementary functions, and finding series solutions to differential equations.