Calculus I · Adding Up Forever

Power series: where Taylor’s expansions actually live

Now the payoff Chapter 7 has been owed. A power series ∑n=0∞cnxn\displaystyle\sum_{n=0}^\infty c_n x^n is a Taylor series viewed as a sum that may or may not converge depending on xx. The fundamental fact is clean:

Radius of convergence. A power series ∑cnxn\sum c_n x^n converges for all |x|<R|x| < R and diverges for all |x|>R|x| > R, for some number RR (possibly 00 or ∞\infty) called the radius of convergence.

So every Taylor series comes with an interval (−R,R)(-R, R) — centered at its center — inside which it genuinely equals its function, and outside which it is meaningless. This is the rigor Chapter 7 promised and postponed. And the practical tool for finding RR is the ratio test: form the ratio of consecutive terms and see what it approaches. (We introduce it here, where it actually matters — for power series — rather than as one more entry in a catalog.) If |cn+1cn|→L\left|\dfrac{c_{n+1}}{c_n}\right| \to L, then R=1LR = \dfrac1L, because the series behaves geometrically with ratio ≈L|x|\approx L|x|, which converges precisely when L|x|<1L|x| < 1.

Turn it on Chapter 7’s flagship series:

  • ex=∑xnn!e^x = \displaystyle\sum \frac{x^n}{n!}: the ratio of coefficients is 1/(n+1)!1/n!=1n+1→0\dfrac{1/(n+1)!}{1/n!} = \dfrac{1}{n+1} \to 0, so L=0L = 0 and R=∞R = \infty. The series converges for every xx — confirming, rigorously, the claim you proved by remainder in Chapter 7.
  • 11−x=∑xn\dfrac{1}{1-x} = \displaystyle\sum x^n: the coefficients are all 11, so L=1L = 1 and R=1R = 1. Converges for |x|<1|x| < 1, diverges beyond — that is the wall at ±1\pm 1 in Chapter 7’s convergence figure, now derived rather than drawn.
  • ln⁡(1+x)\ln(1+x) and arctan⁡x\arctan x: both have R=1R = 1, so each is valid only on (−1,1)(-1, 1) — which is why setting x=1x = 1 in the arctangent series to reach π4\tfrac{\pi}{4} was living dangerously, right at the boundary (it works, but only barely, and for a subtler reason).

So Chapter 7’s series were never just formal manipulations: each carries a precise domain of validity, and you can now compute it. (Figure 12.4: a power series’ interval of convergence drawn on the xx-axis — solid inside (−R,R)(-R, R), hatched outside — for exe^x (the whole line) and 11−x\tfrac{1}{1-x} (a segment ending at ±1\pm1).)

Figure 12.4
Figure 12.4

A last word: when alternating signs rescue a sum

One pattern deserves a closing mention, because Chapter 7’s sine, cosine, and arctangent series all have it: the terms alternate in sign. Alternation helps enormously, because consecutive terms partly cancel. The principle: if the terms alternate in sign and shrink steadily to zero, the series converges — even when the same terms with all-positive signs would diverge. The cleanest example is the alternating harmonic series 1−12+13−14+⋯1 - \tfrac12 + \tfrac13 - \tfrac14 + \cdots, which converges (to ln⁡2\ln 2, as the Chapter 7 series for ln⁡(1+x)\ln(1+x) at x=1x=1 suggests) — although, strip the signs and it becomes the harmonic series, which diverges. Cancellation is a real force. We won’t drill it into a formal apparatus; the idea — alternation tames a sum — is what to carry forward.


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