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Power Series and Taylor Polynomials · Tutorial 857 of 999

Geometric Series as Function Representations

Learn why the geometric series represents one over one minus r on its interval of convergence and how to construct and check its finite partial sums.

Advanced 9 min read

What You'll Learn

  • Write one over one minus r as a power series centered at zero.
  • Derive the finite geometric-sum formula and its remainder.
  • Prove convergence for absolute r less than one.
  • Explain why the series diverges at both endpoints and outside the interval.
  • Construct and check finite partial sums for positive and negative values of r.

From a Familiar Sum to a Function

A geometric series is more than a pattern of terms: within its interval of convergence, it gives a function an exact representation as an infinite sum of powers. The basic example is the function \(1/(1-r)\). Its series has a particularly simple pattern: every coefficient is \(1\).

To understand this representation, we need to distinguish the infinite sum from its finite partial sums. A partial sum is a polynomial, so it can be calculated directly. The infinite series represents the function only where the partial sums approach the function’s value.

Key representation: For \(|r|<1\), the function \(1/(1-r)\) is represented by the geometric power series \(1+r+r^2+r^3+\cdots\). The series is centered at \(r=0\), and its interval of convergence is \((-1,1)\).

The Finite Geometric Sum

Begin with a finite sum, where no convergence question is involved. For a nonnegative integer \(N\), define its partial sum by

$$ S_N(r)=\sum_{n=0}^{N}r^n=1+r+r^2+\cdots+r^N. $$

Multiplying by \(r\) shifts each power up by one. Subtracting the shifted sum cancels all the intermediate terms:

$$ \begin{aligned} S_N(r)&=1+r+r^2+\cdots+r^N,\\ rS_N(r)&=r+r^2+\cdots+r^N+r^{N+1},\\ S_N(r)-rS_N(r)&=1-r^{N+1}. \end{aligned} $$

Thus, when \(r\ne 1\), factoring the left-hand side gives

$$ S_N(r)=\frac{1-r^{N+1}}{1-r}. $$

This identity is an algebraic statement about a finite sum. It does not require \(|r|<1\). The restriction \(|r|<1\) becomes important when we take the limit as \(N\) increases.

Worked Example: Find a Finite Partial Sum

Find \(S_3(r)\) and verify the finite-sum formula.

By the definition of the partial sum,

$$ S_3(r)=1+r+r^2+r^3. $$

The finite-sum formula gives

$$ S_3(r)=\frac{1-r^{3+1}}{1-r}=\frac{1-r^4}{1-r},\qquad r\ne1. $$

To check the formula, factor the numerator:

$$ \frac{1-r^4}{1-r} =\frac{(1-r)(1+r+r^2+r^3)}{1-r} =1+r+r^2+r^3. $$

The quotient therefore agrees with the sum of its four terms whenever \(r\ne1\). At \(r=1\), the sum itself is \(1+1+1+1=4\); the quotient form is undefined, so the sum must be evaluated directly there.

Why the Infinite Series Represents the Function

For \(r\ne1\), the finite-sum identity can be rearranged to show exactly how far a partial sum is from \(1/(1-r)\):

$$ \frac{1}{1-r}-S_N(r) =\frac{1}{1-r}-\frac{1-r^{N+1}}{1-r} =\frac{r^{N+1}}{1-r}. $$

The right-hand side is the remainder after the first \(N+1\) terms. If \(|r|<1\), then \(r^{N+1}\) approaches zero as \(N\) increases. Since \(1-r\ne0\), dividing by \(1-r\) preserves that limit. Consequently, the remainder approaches zero and the partial sums approach \(1/(1-r)\).

Theorem: If \(|r|<1\), then $$ \sum_{n=0}^{\infty}r^n=\frac{1}{1-r}. $$ The equality means that the sequence of finite partial sums approaches the value \(1/(1-r)\). The finite-sum remainder \(r^{N+1}/(1-r)\) tends to zero under this condition.

This proves why the representation works: the finite sum is exactly the function value minus a remainder, and the remainder vanishes for \(|r|<1\). The infinite series is therefore not merely suggested by a pattern; its value follows from a limit.

1
Write the finite sum.
Use \(S_N(r)=1+r+\cdots+r^N\).
2
Use the finite identity.
For \(r\ne1\), \(S_N(r)=(1-r^{N+1})/(1-r)\).
3
Take the limit when allowed.
If \(|r|<1\), then \(r^{N+1}\to0\), so \(S_N(r)\to1/(1-r)\).

Center and Interval of Convergence

A power series centered at \(c\) is a series written in powers of \(r-c\). Here the terms are powers \(r^n=(r-0)^n\), so the center is \(0\). To give the interval of convergence, we must check not only the interior but also the endpoints.

When \(|r|<1\), the theorem above proves convergence. If \(|r|>1\), the terms \(r^n\) do not approach zero, so the series cannot converge. At \(r=1\), every term equals \(1\), and the partial sums are \(S_N(1)=N+1\), which grow without bound. At \(r=-1\), the partial sums alternate: \(S_0(-1)=1\), \(S_1(-1)=0\), \(S_2(-1)=1\), and \(S_3(-1)=0\). They do not approach a single limit.

Conclusion: The power series \(\sum_{n=0}^{\infty}r^n\) has center \(0\), radius of convergence \(1\), and interval of convergence \((-1,1)\). Neither endpoint is included.

The endpoint check matters even though the function \(1/(1-r)\) itself is defined at \(r=-1\), where it equals \(1/2\). The fact that a function has a value at a point does not guarantee that a particular power series converges there. At \(r=1\), the function is not defined, and the series also diverges.

Worked Example: Approximate the Function at \(r=1/3\)

Use the first four terms, from \(n=0\) through \(n=3\), to approximate \(1/(1-r)\) at \(r=1/3\). Then check the result using the exact remainder.

The partial sum is

$$ S_3\left(\frac13\right) =1+\frac13+\frac19+\frac1{27} =\frac{27+9+3+1}{27} =\frac{40}{27}. $$

The function value is

$$ \frac{1}{1-\frac13} =\frac{1}{\frac23} =\frac32. $$

The remainder formula gives

$$ \frac{r^{N+1}}{1-r} =\frac{(\frac13)^4}{1-\frac13} =\frac{1}{81}\cdot\frac32 =\frac{1}{54}. $$

Adding the remainder to the partial sum checks the function value:

$$ \frac{40}{27}+\frac{1}{54} =\frac{80}{54}+\frac{1}{54} =\frac{81}{54} =\frac32. $$

Thus the four-term partial sum is \(40/27\), and its exact shortfall from the function value is \(1/54\).

Partial Sums for Negative Values

The same formula applies when \(r\) is negative. The terms then alternate in sign, but convergence still follows whenever \(|r|<1\). The remainder formula also works without changing signs by hand: its sign is determined by \(r^{N+1}\).

Worked Example: Check a Partial Sum at \(r=-2/3\)

Use \(N=3\) to find the partial sum and verify it against the function value.

First calculate each term:

$$ S_3\left(-\frac23\right) =1-\frac23+\frac49-\frac8{27} =\frac{27-18+12-8}{27} =\frac{13}{27}. $$

The function value is

$$ \frac{1}{1-(-\frac23)} =\frac{1}{1+\frac23} =\frac{1}{\frac53} =\frac35. $$

The exact remainder is

$$ \frac{(-\frac23)^4}{1-(-\frac23)} =\frac{16}{81}\cdot\frac35 =\frac{16}{135}. $$

Adding this positive remainder to the partial sum gives

$$ \frac{13}{27}+\frac{16}{135} =\frac{65}{135}+\frac{16}{135} =\frac{81}{135} =\frac35. $$

The check agrees exactly with the function value. Because the fourth omitted power is positive, the partial sum lies below \(3/5\).

A Common Mistake: Ignoring the Convergence Condition

A common error is to use \(1/(1-r)\) as the sum of the series for every real \(r\). For example, at \(r=2\) the function value is \(1/(1-2)=-1\). But the first partial sums are \(1\), \(1+2=3\), \(1+2+4=7\), and \(1+2+4+8=15\). They do not approach \(-1\); in fact, their terms grow.

The finite identity remains valid at \(r=2\). For example, \(S_3(2)=(1-2^4)/(1-2)=(-15)/(-1)=15\), matching the four-term sum. What fails is the step from finite sums to the infinite sum: the remainder does not tend to zero when \(|r|>1\). Always state the convergence condition before treating the geometric series as a function representation.

Why This Representation Is Useful

Each finite partial sum is a polynomial, while the infinite series represents the rational function on a specific interval. This connection lets us approximate function values using finitely many powers and quantify the difference using an exact remainder. It also gives a basic model for the larger idea of a power series: a function can be represented by infinitely many polynomial terms near its center, provided the series converges there.

For this series, the terms and the remainder are especially easy to compute. The essential habits are broadly useful: identify the center, establish the interval of convergence, check the endpoints, and keep the finite-sum identity separate from the infinite-series conclusion.

Check Your Understanding

Answer each question using the finite-sum formula and the convergence condition where appropriate.

  1. What are the center and interval of convergence of \(\sum_{n=0}^{\infty}r^n\)?
  2. Write \(S_4(r)\) as a sum and as a quotient.
  3. Why does \(\sum_{n=0}^{\infty}r^n=1/(1-r)\) require \(|r|<1\)?
  4. Does the series converge at \(r=-1\), even though \(1/(1-r)\) is defined there? Explain using partial sums.
  5. For \(r=1/2\), write the exact remainder after the partial sum \(S_2(r)\).

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