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Taylor and Maclaurin series let students represent many functions as infinite polynomials near a chosen center. This cheat sheet helps organize the main formulas, common series, convergence ideas, and error bounds used in calculus. It is especially useful when approximating function values, analyzing local behavior, or preparing for exams. Knowing these patterns makes complicated functions easier to estimate and compare. The core idea is that a function can be built from its derivatives at a point using powers of xax-a. A Maclaurin series is the special case of a Taylor series centered at a=0a=0. Students should know how to write the general formula, recognize standard expansions, and check where a series converges. Remainder formulas help decide how accurate a polynomial approximation is.

Key Facts

  • The Taylor series for f(x)f(x) centered at aa is n=0f(n)(a)n!(xa)n\sum_{n=0}^{\infty} \frac{f^{(n)}(a)}{n!}(x-a)^n.
  • The Maclaurin series is the Taylor series centered at 00, so f(x)=n=0f(n)(0)n!xnf(x)=\sum_{n=0}^{\infty} \frac{f^{(n)}(0)}{n!}x^n when the series converges to f(x)f(x).
  • The nnth Taylor polynomial centered at aa is Pn(x)=k=0nf(k)(a)k!(xa)kP_n(x)=\sum_{k=0}^{n} \frac{f^{(k)}(a)}{k!}(x-a)^k.
  • The geometric series formula is 11x=n=0xn\frac{1}{1-x}=\sum_{n=0}^{\infty} x^n for x<1|x|<1.
  • The Maclaurin series for exe^x is ex=n=0xnn!e^x=\sum_{n=0}^{\infty} \frac{x^n}{n!} for all real xx.
  • The Maclaurin series for sinx\sin x is sinx=n=0(1)nx2n+1(2n+1)!\sin x=\sum_{n=0}^{\infty} (-1)^n\frac{x^{2n+1}}{(2n+1)!} for all real xx.
  • The Maclaurin series for cosx\cos x is cosx=n=0(1)nx2n(2n)!\cos x=\sum_{n=0}^{\infty} (-1)^n\frac{x^{2n}}{(2n)!} for all real xx.
  • Lagrange's remainder formula is Rn(x)=f(n+1)(c)(n+1)!(xa)n+1R_n(x)=\frac{f^{(n+1)}(c)}{(n+1)!}(x-a)^{n+1} for some cc between aa and xx.

Vocabulary

Taylor series
An infinite polynomial representation of a function centered at aa, using the values of the function's derivatives at aa.
Maclaurin series
A Taylor series centered at 00, written using powers of xx and derivatives evaluated at 00.
Taylor polynomial
A finite polynomial Pn(x)P_n(x) made from the first n+1n+1 terms of a Taylor series.
Remainder
The error Rn(x)=f(x)Pn(x)R_n(x)=f(x)-P_n(x) between a function and its nnth Taylor polynomial approximation.
Radius of convergence
The distance RR from the center of a power series within which the series converges.
Interval of convergence
The set of xx-values for which a power series converges, including any endpoints that work.

Common Mistakes to Avoid

  • Forgetting the factorial in f(n)(a)n!\frac{f^{(n)}(a)}{n!} is wrong because Taylor coefficients are divided by n!n!, not just by the derivative order.
  • Using xnx^n instead of (xa)n(x-a)^n for a Taylor series centered at aa is wrong because only Maclaurin series are centered at 00.
  • Assuming convergence means the series equals the function everywhere is wrong because a series may converge only on a limited interval or may not converge to the original function at every point.
  • Not checking endpoints after finding the radius of convergence is wrong because the ratio test usually gives only xa<R|x-a|<R, and endpoints must be tested separately.
  • Mixing the signs in the sinx\sin x and cosx\cos x series is wrong because both alternate signs, but sinx\sin x uses odd powers and cosx\cos x uses even powers.

Practice Questions

  1. 1 Find the Maclaurin polynomial of degree 44 for exe^x.
  2. 2 Use the Maclaurin series for cosx\cos x to approximate cos(0.2)\cos(0.2) using terms through x4x^4.
  3. 3 Find the radius of convergence of n=0(x3)n2n\sum_{n=0}^{\infty} \frac{(x-3)^n}{2^n}.
  4. 4 Explain why a Taylor polynomial can approximate a function well near its center but become less accurate farther away.