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A Taylor series represents a function as an infinite polynomial built from the function's derivatives at a single point :
When , the series is called a Maclaurin series:
Why this matters: Taylor series convert calculations on possibly hard functions (, , , ) into calculations on polynomials, which computers and humans can handle. They're the foundation of numerical methods, asymptotic expansions, and approximation theory.
The Taylor polynomial of degree is the partial sum keeping terms up to . It's the best polynomial approximation of near in a precise sense (matching value and first derivatives).
For and expansion point , compute .
A Taylor series converges only within a radius of convergence around . Find it using the ratio test:
Outside this radius, the series diverges and does not represent the function. Inside, convergence is usually uniform on compact subsets.
For speed, substitute, differentiate, or integrate known series instead of computing derivatives from scratch:
A Maclaurin series is a Taylor series centered at zero. Taylor series can be centered at any point a; choosing a strategically (often where derivatives are easy to compute) simplifies the expansion.
Inside the radius of convergence, and only if the remainder term goes to zero as the degree increases. Functions that satisfy this everywhere their series converges are called analytic. Most elementary functions (e^x, sin, cos, polynomials, rational functions) are analytic on their domains.
Use the ratio test: R = lim |a_n / a_(n+1)|. For e^x, sin, cos the radius is infinite. For 1/(1-x) it is 1. For ln(1+x) it is 1.
Among all polynomials of degree at most n, the Taylor polynomial T_n matches f's value and first n derivatives at the expansion point. This gives the smallest error among polynomials of that degree for x near a.
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