Tutorials › Measure Theory › Explicit Lebesgue-Stieltjes Measures from Piecewise Functions

Push-Forward Measures and Distribution Functions · Tutorial 232 of 798

Explicit Lebesgue-Stieltjes Measures from Piecewise Functions

Learn to turn three common cumulative functions into explicit measures and compute their interval masses and atoms.

Advanced 9 min read

What You'll Learn

  • Check the endpoint and continuity conditions for finite Lebesgue–Stieltjes measures.
  • Construct a clipped-linear measure as a pushforward of Lebesgue measure.
  • Read interval masses and atoms from a step cumulative function.
  • Construct an exponential cumulative measure using a measurable transformation.
  • Calculate interval masses directly and verify them using cumulative values.

From a Cumulative Function to an Explicit Measure

A nondecreasing, right-continuous function can encode a measure on the real line: its increments give the masses of intervals, and its jumps give the masses of single points. For particular piecewise functions, one can often do more than invoke the general construction: an explicit pushforward or atomic formula gives the measure directly. We work through a clipped-linear function, a step function, and an exponential cumulative function.

Throughout, the target measurable space is \((\mathbb{R},\mathcal{B}_{\mathbb{R}})\), where \(\mathcal{B}_{\mathbb{R}}\) is the Borel sigma-algebra. All target measures below are finite Borel measures. For a finite Borel measure \(\nu\), its cumulative function is the real-valued function \(F_\nu(x)=\nu((-\infty,x])\). In particular, the left endpoint is excluded and the right endpoint is included in the interval convention \((a,b]\).

Definition and existence result: A Lebesgue–Stieltjes measure associated with a function \(F:\mathbb{R}\to\mathbb{R}\) is a finite Borel measure \(\nu\) such that \(\nu((-\infty,x])=F(x)\) for every \(x\in\mathbb{R}\). The construction theorem for Lebesgue–Stieltjes measures says that such a measure exists when \(F\) is nondecreasing and right-continuous, \(\lim_{x\to-\infty}F(x)=0\), and \(\lim_{x\to+\infty}F(x)=L<\infty\). Its total mass is \(L\). The zero limit at \(-\infty\) is essential: finite limits at both ends alone do not suffice.

For any finite Borel measure \(\nu\) with cumulative function \(F\), finite additivity gives the interval-increment formula. If \(a<b\), then \((-\infty,b]=(-\infty,a]\cup(a,b]\), a disjoint union, so

$$ \nu((a,b])=F(b)-F(a). $$

There is also a direct formula for atoms. Define \(F(x-)=\lim_{y\uparrow x}F(y)\), which exists for a nondecreasing \(F\). The sets \((-\infty,x-1/n]\), for positive integers \(n\), increase to \((-\infty,x)\). Continuity from below of a measure therefore gives \(\nu((-\infty,x))=F(x-)\). Since \((-\infty,x]=(-\infty,x)\cup\{x\}\), disjointly,

$$ \nu(\{x\})=F(x)-F(x-). $$

Thus an interval mass can be calculated by subtracting cumulative values, while an atom is exactly the jump from the left limit to the value at the point.

A Clipped-Linear Cumulative Function

Worked Example: A Uniform Measure on a Bounded Interval

Define \(T:(0,1)\to\mathbb{R}\) by \(T(u)=2u\). Let \(m\) be Lebesgue measure on \(\mathbb{R}\), and let \(\lambda\) be its restriction to the measurable space \(((0,1),\mathcal{B}_{\mathbb{R}}|_{(0,1)})\). Construct the pushforward measure \(\nu=T_\#\lambda\), defined by \(\nu(B)=\lambda(T^{-1}(B))\) for Borel \(B\subseteq\mathbb{R}\).

The map \(T\) is continuous and hence Borel measurable. Its pushforward is a measure: if \((B_j)\) are pairwise disjoint Borel sets, then the preimages \(T^{-1}(B_j)\) are pairwise disjoint measurable sets, and countable additivity of \(\lambda\) gives \(\nu(\bigcup_jB_j)=\sum_j\nu(B_j)\). The total mass is \(\nu(\mathbb{R})=\lambda((0,1))=1\).

To find the cumulative function, calculate the preimage of \((-\infty,x]\). If \(x\le0\), no \(u\in(0,1)\) satisfies \(2u\le x\), so the preimage has measure \(0\). If \(0<x<2\), the preimage is \((0,x/2]\), of length \(x/2\). If \(x\ge2\), the preimage is all of \((0,1)\), of measure \(1\). Therefore

$$ F(x)=\nu((-\infty,x])= \begin{cases} 0,&x\le0,\\ x/2,&0<x<2,\\ 1,&x\ge2. \end{cases} $$

This is the clipped-linear function \(F(x)=\min(\max(x/2,0),1)\). It is nondecreasing and right-continuous, has limit \(0\) at \(-\infty\), and has limit \(1\) at \(+\infty\). For example, \(F(1)=1/2\) and \(F(-1)=0\), so the interval formula gives \(\nu((-1,1])=1/2-0=1/2\). Directly, \(T^{-1}((-1,1])=(0,1/2]\), which has Lebesgue measure \(1/2\). Also, for each \(x\in\mathbb{R}\), the preimage of \(\{x\}\) is either empty or a singleton, hence has Lebesgue measure zero; consequently \(\nu(\{x\})=0\) for every \(x\).

Check: at \(x=3/2\), the formula gives \(F(3/2)=(3/2)/2=3/4\). Directly, \(T^{-1}((-\infty,3/2])=(0,3/4]\), whose length is \(3/4\). At \(x=2\), the preimage is \((0,1)\), so \(F(2)=1\), agreeing with the clipped formula.

Step Functions and Their Atoms

Worked Example: A Three-Atom Measure

On \((\mathbb{R},\mathcal{B}_{\mathbb{R}})\), define the finite Borel measure \(\nu=\tfrac14\delta_{-1}+\tfrac12\delta_1+\tfrac14\delta_3\), where \(\delta_c(B)=1\) if \(c\in B\) and \(0\) otherwise. Its total mass is \(1/4+1/2+1/4=1\).

The cumulative value is the sum of the weights at points not exceeding \(x\). Counting each endpoint according to the condition \(c\le x\), we obtain

$$ F(x)= \begin{cases} 0,&x<-1,\\ 1/4,&-1\le x<1,\\ 3/4,&1\le x<3,\\ 1,&x\ge3. \end{cases} $$

The function is nondecreasing and right-continuous. Its limit at \(-\infty\) is \(0\), and its limit at \(+\infty\) is \(1\). The jumps occur at \(-1,1,3\). At \(-1\), the left limit is \(0\), so the atom is \(F(-1)-F(-1-)=1/4-0=1/4\). At \(1\), the left limit is \(1/4\), so the atom is \(F(1)-F(1-)=3/4-1/4=1/2\). At \(3\), the left limit is \(3/4\), so the atom is \(F(3)-F(3-)=1-3/4=1/4\). At every other point the function has no jump and the atom is zero.

For an interval calculation, \((-1,3]\) excludes the atom at \(-1\) and includes those at \(1\) and \(3\). Thus its mass is \(1/2+1/4=3/4\). The cumulative calculation agrees: \(F(3)-F(-1)=1-1/4=3/4\). This also checks why the half-open interval convention matters: changing either endpoint convention can change the answer when an endpoint is an atom.

An Exponential Cumulative Function

Worked Example: The Exponential Cumulative Measure

Define \(T:(0,1)\to\mathbb{R}\) by \(T(u)=-\tfrac12\ln(1-u)\), and let \(\nu=T_\#\lambda\), where \(\lambda\) is Lebesgue measure restricted to \((0,1)\) as above. The map is continuous on \((0,1)\), so this defines a finite Borel pushforward measure of total mass \(\lambda((0,1))=1\).

For \(x<0\), \(T(u)>0\) for every \(u\in(0,1)\), so the preimage of \((-\infty,x]\) is empty. For \(x\ge0\), solve the inequality defining the preimage:

$$ -\frac12\ln(1-u)\le x \quad\Longleftrightarrow\quad \ln(1-u)\ge-2x \quad\Longleftrightarrow\quad u\le1-e^{-2x}. $$

Here \(1-e^{-2x}\in[0,1)\), so the preimage has Lebesgue measure \(1-e^{-2x}\). The cumulative function is therefore

$$ F(x)= \begin{cases} 0,&x<0,\\ 1-e^{-2x},&x\ge0. \end{cases} $$

It is nondecreasing and right-continuous, with limits \(0\) and \(1\) at \(-\infty\) and \(+\infty\), respectively. At \(x=0\), the formula gives \(F(0)=1-e^0=0\), so there is no atom at \(0\). For any \(x>0\), the preimage of the singleton \(\{x\}\) consists of the single point \(u=1-e^{-2x}\), which has Lebesgue measure zero. For \(x<0\), the preimage is empty. Hence \(\nu(\{x\})=0\) for every \(x\).

If \(0\le a<b\), the interval mass is \(\nu((a,b])=F(b)-F(a)=(1-e^{-2b})-(1-e^{-2a})=e^{-2a}-e^{-2b}\). For instance, substituting \(a=1/2\) and \(b=2\) gives \(\nu((1/2,2])=e^{-1}-e^{-4}\). Directly, the preimage is \((1-e^{-1},1-e^{-4}]\), whose length is \((1-e^{-4})-(1-e^{-1})=e^{-1}-e^{-4}\), confirming the interval calculation.

Check: for \(x=1\), the cumulative formula gives \(F(1)=1-e^{-2}\). The preimage condition gives \(0<u\le1-e^{-2}\), a set of exactly that Lebesgue measure. As \(x\to+\infty\), \(e^{-2x}\to0\), so \(F(x)\to1\), in agreement with the total pushforward mass.

Reading the Formulas Reliably

The three constructions illustrate a practical rule. First check that a proposed cumulative function has the required endpoint limits, monotonicity, and right continuity. Then use \(\nu((a,b])=F(b)-F(a)\) for intervals and \(\nu(\{x\})=F(x)-F(x-)\) for atoms. If a measurable map gives a convenient pushforward, computing the preimage provides an independent direct check of the cumulative values.

A frequent error is to use left limits at both endpoints when calculating a half-open interval. In the step-function example, this incorrect calculation for \((-1,1]\) would be \(F(1-)-F((-1)-)=1/4-0=1/4\). It omits the atom at \(1\), even though \(1\) belongs to \((-1,1]\). The correct calculation uses the actual cumulative values at the included right endpoint and the excluded left endpoint: \(F(1)-F(-1)=3/4-1/4=1/2\). Direct counting confirms that \((-1,1]\) contains the atom at \(1\) of mass \(1/2\), but not the atom at \(-1\).

Another error is to require only finite endpoint limits. The constant function \(F(x)=1\) has finite limits at both ends, but \(\lim_{x\to-\infty}F(x)=1\), not \(0\). It cannot be the cumulative function of a finite measure: for any finite measure \(\nu\), the sets \((-\infty,-n]\) decrease to the empty set, and continuity from above gives \(\nu((-\infty,-n])\to0\). The left endpoint condition rules out this contradiction.

Check Your Understanding

For each question, keep track of the half-open interval convention and verify the endpoint conditions before using a cumulative function.

  1. For the clipped-linear cumulative function in the first example, calculate \(\nu((1/2,3/2])\) from its cumulative values and from a preimage under \(T(u)=2u\).
  2. For the three-atom measure, calculate \(\nu([-1,1])\). Which endpoint atoms are included, and why is the interval-increment formula for \((a,b]\) not directly in that form?
  3. For the exponential cumulative function, calculate \(\nu((0,1])\) and \(\nu((1,2])\), then add them and compare with \(\nu((0,2])\).
  4. Explain why a jump of size \(c\) at \(x\) contributes mass \(c\) to \(\{x\}\), rather than to a point immediately to the left of \(x\).
  5. Does \(G(x)=2\) for every real \(x\) satisfy the endpoint conditions for a finite cumulative measure? Identify the failed condition.