Lebesgue Measure

A measure assigns a size to sets. Lebesgue measure is the measure on the real line — the one that gives an interval its ordinary length, and then extends that notion of length to a vast collection of far stranger sets. It is the foundation on which the Lebesgue integral, and hence modern probability, is built.

The starting point is the only sensible one: the measure of an interval is its length,

\lambda\big([a, b]\big) = b - a.

From that single rule, plus the demand that measure behave sensibly under countable unions, everything else is forced.

The defining properties

Lebesgue measure \lambda on the Borel sets is pinned down by:

These force some memorable facts. A single point \{a\} = [a,a] has measure a - a = 0. And by countable additivity, any countable set is a countable union of points, so it too has measure zero.

The rationals have length zero

Here is the result that first makes Lebesgue measure feel powerful. The rational numbers \mathbb{Q} are dense — between any two reals sits a rational — yet they are countable. So as a countable union of single points, their total measure is

\lambda(\mathbb{Q}) = \sum_{q \in \mathbb{Q}} \lambda(\{q\}) = \sum 0 = 0.

The rationals are everywhere and yet occupy no length at all. All the "length" of the real line lives in the uncountably many irrationals. This is exactly why the Lebesgue integral succeeds where the older Riemann integral chokes: a function that misbehaves only on a measure-zero set (like the rationals) can be integrated cleanly, because that set contributes nothing.

Here's a hands-on proof that \mathbb{Q} has measure zero. List the rationals q_1, q_2, q_3, \dots and, for any tiny \varepsilon > 0, cover q_n with an interval of length \varepsilon / 2^n. Every rational is now covered, and the total length is \sum_n \varepsilon/2^n = \varepsilon — as small as you please. A set you can trap inside intervals of arbitrarily small total length has measure zero. The trick is that the lengths form a convergent geometric series.