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First-year math

Taylor series, explained

By David Mashiah ·

A Taylor series rebuilds a function from its derivatives at one point, as a polynomial. Cut it off after a few terms and you get an approximation that is very good near that point. It is how calculators evaluate sin and e^x, and the quickest way through many limits.

The idea

Pick a point a. The Taylor polynomial of degree N is the polynomial whose value and first N derivatives at a match the function’s. Each extra term matches one more derivative, so the fit stays good further from a. Around a = 0 it is also called a Maclaurin series.

How accurate is it

The error after degree N is the Lagrange remainder: the next derivative at some point ξ between a and x, times (x − a)^(N+1)/(N+1)!. The factorial grows fast, which is why a handful of terms is often enough near a.

For alternating series like sin and cos, there is a simpler bound: the error is smaller than the first term you left out.

Limits without L’Hôpital

Replace each function by its first terms and most 0/0 limits fall apart. sin x / x = (x − x³/6 + …)/x → 1. (1 − cos x)/x² = (x²/2 − …)/x² → 1/2. One expansion often replaces several rounds of L’Hôpital.

Where it converges

Some series work everywhere: e^x, sin and cos converge for every x. Others stop at a radius. 1/(1 − x) and ln(1 + x) only converge for |x| < 1, and adding terms outside that range makes the approximation worse, not better. Try x = 2 in the calculator.

Worked example

Approximate e^0.5 to degree 3: 1 + 0.5 + 0.125 + 0.0208 = 1.6458. The true value is 1.6487, so the error is about 0.0029. These are the calculator’s default inputs.

For sin 1 to degree 5: 1 − 1/6 + 1/120 = 0.84167, against the true 0.84147. The error, about 0.0002, is below the first omitted term, 1/5040 ≈ 0.0002.

Taylor polynomial calculator

P_N(x) around a = 0, against the exact value

P_N(x)–
Exact value–
Error–

Common mistakes