Definition · applies to functions

Undergraduate (real functions on an interval $[a, b]$)

Consider a function $f : [a, b] \to \reals$ and finite collections of disjoint subintervals $(x_1, y_1), \dots, (x_n, y_n)$ of $[a, b]$. The function $f$ is absolutely continuous if for every $\varepsilon > 0$, there exists $\delta > 0$ such that whenever such a collection has total length

\[\sum_{k=1}^n (y_k - x_k) < \delta,\]

the total change of $f$ satisfies

\[\sum_{k=1}^n \abs{f(y_k) - f(x_k)} < \varepsilon.\]
Graduate (Lebesgue integration)

Consider a function $f : [a, b] \to \reals$. The function $f$ is absolutely continuous if there is a Lebesgue integrable function $g$ such that

\[f(x) = f(a) + \int_a^x g(t) \mathrm{d}t\]

for every $x \in [a, b]$.

Examples

Examples

Non-examples

Things that may be mistaken for examples.

  • The Cantor function on $[0, 1]$ Undergraduate
    The Cantor function is not absolutely continuous: it rises from $0$ to $1$, but its derivative is $0$ almost everywhere, so it is not the integral of its derivative.

Properties

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