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Differential Calculus

Taylor Approximation

Complicated functions like x, e^x, or x can be approximated near a point by polynomials built from their derivatives.

Mathematics I 349 words Free to read

Approximating with Polynomials

Complicated functions like sinx\sin x, exe^x, or lnx\ln x can be approximated near a point by polynomials built from their derivatives. Since polynomials use only addition and multiplication, this is how such functions are actually computed, and it is a central tool of analysis.

The simplest case is the linear (tangent-line) approximation: f(x)f(a)+f(a)(xa),f(x) \approx f(a) + f'(a)(x - a), the value plus the slope times the displacement — literally the tangent line at aa. It is excellent for xx near aa and is the basis of Newton's method and differentials.

The Taylor polynomial improves accuracy by adding higher-derivative terms: f(x)f(a)+f(a)(xa)+f(a)2!(xa)2+f(a)3!(xa)3+f(x) \approx f(a) + f'(a)(x-a) + \frac{f''(a)}{2!}(x-a)^2 + \frac{f'''(a)}{3!}(x-a)^3 + \dots Each term corrects the fit a little more: the constant matches the value, the linear term the slope, the quadratic the curvature, and so on. The special case a=0a = 0 (a Maclaurin series) gives clean expansions like ex=1+x+x22!+x33!+e^x = 1 + x + \frac{x^2}{2!} + \frac{x^3}{3!} + \dots.

The key practical facts:

Taylor approximation replaces a hard function by an easy polynomial that matches it locally — the workhorse behind numerical computation, physics approximations, and much of applied analysis.

Common pitfall: expecting a truncated Taylor polynomial to be accurate far from the expansion point. The approximation matches ff best near the center aa, and the error typically grows as xa|x - a| increases — a few terms good near aa can be wildly wrong far away. More terms widen the accurate region but a finite polynomial never matches everywhere; the approximation is fundamentally local.

A smooth curve with successive Taylor polynomials (degree 1, 2, 3) overlaid, each accent curve hugging the function over a wider region near the center point as the degree increases.

f(x)f(a)+f(a)(xa)+f(a)2!(xa)2f(x) \approx f(a) + f'(a)(x-a) + \frac{f''(a)}{2!}(x-a)^2

Taylor Approximation

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Differential Calculus