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Taylor Polynomial

Definition

Let k≥0k\geq0 be an integer and let the function ff be kk times differentiable at x=ax=a. The kk-th order Taylor polynomial of ff at x=ax=a is the polynomial

Pk(x)=f(a)+f′(a)(x−a)+⋯+f(k)(a)k!(x−a)k.P_{k}(x) = f(a) + f'(a)(x-a) + \cdots + \frac{f^{(k)}(a)}{k !}(x-a)^{k}.

Interpretation

The kk-th order Taylor polynomial is the polynomial of degree at most kk that imitates ff as closely as possible near x=ax=a. Its coefficients are chosen so that PkP_k has the same value and the same first kk derivatives at aa as ff: differentiating (x−a)j(x-a)^j exactly jj times leaves the constant j!j!, which the factorial in the coefficient f(j)(a)/j!f^{(j)}(a)/j! cancels.

Read term by term, P0P_0 is the constant f(a)f(a), and P1(x)=f(a)+f′(a)(x−a)P_1(x)=f(a)+f'(a)(x-a) is the tangent line, whose slope is the derivative f′(a)f'(a). Each further term corrects what the previous ones miss, starting with the curvature. If ff is kk times differentiable at aa, then PkP_k is the unique polynomial of degree at most kk with f(x)−Pk(x)=o((x−a)k)f(x)-P_k(x)=o\big((x-a)^k\big) as x→ax\to a (in little-oo notation); in this sense it is the best polynomial approximation of order kk near x=ax=a.

The kk-th order Taylor polynomial consists of the first k+1k+1 terms of the Taylor series centred at the same point, when that series exists.

A common slip is to expect that a higher order always gives a better approximation at a fixed xx far from aa. The guarantee is local. For f(x)=1/xf(x)=1/x at a=1a=1, Pk(x)=∑j=0k(−1)j(x−1)j\displaystyle P_k(x)=\sum_{j=0}^{k}(-1)^j(x-1)^j, so Pk(3)=1−2+4−⋯+(−2)kP_k(3)=1-2+4-\cdots+(-2)^k moves further away from f(3)=13f(3)=\tfrac{1}{3} as kk grows.

The same idea returns for functions of several variables in Math IV, in multivariate Taylor approximations.


Key Results

  • The kk-th order Taylor polynomial and the function ff have the same value and the same derivatives up to order kk at x=a:x=a\text{:} Pk(j)(a)=f(j)(a)P_k^{(j)}(a)=f^{(j)}(a) for j=0,1,…,k.j=0,1,\dots,k\text{.} Away from aa they generally differ.
  • One can write a Taylor polynomial for a function just from its first few derivatives, but the full Taylor series exists if the function is smooth, and the full series converges to the function on a neighbourhood of aa if and only if the function is real analytic at aa.

Examples

  • The 3rd order Taylor polynomial of sin⁡x\sin x around x=0x=0 is P3(x)=x−x33!P_3(x) = x - \dfrac{x^3}{3!}.

    Two panels comparing sin x with its Taylor polynomials around 0: the line x, which follows it near 0, and the cubic x minus x cubed over 6, which follows it over a wider interval.

    The two panels compare Taylor polynomials of sin⁡x\sin x about 00. The cubic P3P_3 on the right follows sin⁡x\sin x over a wider interval than the linear polynomial P1P_1 on the left.

  • The 1st order Taylor polynomial of 1/x1/x around x=1x = 1 is P1(x)=2−xP_1(x)=2-x.

Raise the order kk and move the centre aa: PkP_k matches ff and its first kk derivatives at aa, and fits over a wider range.


Prerequisites

Sources

Symbols: sum

Last updated: 22 October 2026 19:04