Taylor series Created 2026-09-24 Updated 2026-10-14
For a function with derivatives of every order at , its Taylor series is the power seriesIts partial sums are Taylor polynomials. At it is called a Maclaurin series. Forming the coefficients, proving that its partial sums form a convergent sequence, and proving that their limit equals are separate tasks. A smooth function provides all the coefficients, but a real analytic function is additionally represented locally by the resulting power series.
For the exponential function, every derivative of at zero equals one, givingHere equality holds for every real : the Taylor remainder is bounded by , which tends to zero for each fixed . At , the degree-five Taylor polynomial is , and the absolute difference from is less than . The factorial denominator eventually overwhelms every fixed power, allowing local derivative information to reconstruct this function throughout the real line.
The geometric series shows why the region of validity matters. For , the Taylor series at zero is , with radius of convergence one. For , its finite Taylor polynomial satisfies the exact identityAt and , the remainder is . At , the same degree-five polynomial has value and remainder , although the Taylor series still converges to there. Convergence of the infinite expression does not guarantee accuracy from a particular small number of terms. For , even the terms fail to tend to zero, so this power series cannot represent the function. The standard expansions and the conditions for convergent series are discussed in OpenStax, working with Taylor series.
Geometric partial sums converge slowly near their convergence boundary, while a smooth flat function has an identically zero Taylor series
. Details. A stronger caution comes from the flat functionIt is a smooth function with for every , so every Taylor polynomial at zero is zero and its Taylor series converges everywhere to zero. Nevertheless . Off zero, repeated differentiation produces a polynomial in times ; the exponential decay makes each required limit at zero vanish. This explains how all the local coefficients can miss a positive function arbitrarily close to the centre. Real analyticity supplies the additional condition that rules out this behavior.
