JOVANA
Library Glossary Getting Started Three Levels Fields How it works Mission
Join the mission
All guides

Taylor's Theorem and the Limits of Derivatives

Taylor's theorem with Lagrange remainder, what the remainder controls, and an honest accounting of what derivatives do and don't tell you — including Darboux's surprise.

Taylor's theorem with remainder

Taylor's theorem is the mean value theorem with more derivatives. The MVT is its first-order case: f(b) = f(a) + f′(c)(b − a). With n derivatives available, we match the first n at a using a polynomial, and the remainder measures the gap. The Lagrange form puts that gap at a single hidden point — exactly the MVT spirit, one order up.

Taylor's theorem (Lagrange remainder). Suppose f has n+1 derivatives on an
open interval containing a and x. Then there is a point c strictly between a and x
with
    f(x) = P_n(x) + R_n(x),
where the degree-n Taylor polynomial at a is
    P_n(x) = f(a) + f'(a)(x-a) + f''(a)/2! (x-a)^2 + ... + f^(n)(a)/n! (x-a)^n,
and the remainder is
    R_n(x) = f^(n+1)(c) / (n+1)! · (x - a)^(n+1).

Worked estimate: f(x) = e^x at a = 0, n = 2, on [0, 1].
    P_2(x) = 1 + x + x^2/2,   R_2(x) = e^c/6 · x^3  for some c in (0, x).
For x in [0,1], c < 1 so e^c < e < 3, giving the honest bound
    |e^x - (1 + x + x^2/2)| = |R_2(x)| <= 3/6 · x^3 = x^3 / 2.
At x = 0.1:  error <= (0.1)^3 / 2 = 0.0005.  (True error ≈ 0.00017 — within bound.)
The remainder is one higher derivative, at an unknown c, divided by (n+1)! — bound that derivative and you bound the error.

What a derivative does, and does not, tell you

Derivatives are powerful but not omniscient. Two honest cautions close the track. First, smooth is not analytic: a function can have all higher-order derivatives at a point and still not equal its Taylor series there. Second, derivatives are weirder than continuous functions in one specific way captured by Darboux's theorem.

The classic smooth-but-not-analytic example:
    f(x) = exp(-1/x^2)  for x ≠ 0,    f(0) = 0.

One can show (by induction, using exp decay beating every polynomial) that
    f^(n)(0) = 0   for EVERY n = 0, 1, 2, ...
So every Taylor coefficient at 0 is 0, and the Taylor polynomial P_n is the
zero polynomial for all n. Its Taylor 'series' is therefore 0.

But f(x) > 0 for every x ≠ 0. So the Taylor series (= 0) does NOT equal f
near 0. Here the remainder R_n(x) = f(x) - 0 = f(x) does NOT go to 0.

Moral: infinitely differentiable (smooth) is strictly weaker than real-analytic.
All derivatives vanish at 0, yet the function does not — the Taylor series converges to the wrong thing.

Finally, Darboux's theorem says every derivative has the intermediate value property: if f is differentiable on [a, b], then f′ takes every value between f′(a) and f′(b) — even though f′ need not be continuous. So a derivative cannot have a jump discontinuity. This is the precise sense in which “the derivative does not tell you everything” has limits: it can be discontinuous, but never by jumping.