Preimages Determine the Pushforward
A measurable map need not preserve Lebesgue measure: it may stretch intervals, fold different parts of its domain onto the same set, or send an entire domain to one point. The pushforward records the measure of a target set by measuring its preimage. For the elementary maps considered here, the preimage calculation gives an explicit density and makes the effect of stretching and folding visible.
Let \(I=[u,v]\subset\mathbb{R}\), where \(u\le v\), and let \(m_I\) be Lebesgue measure restricted to \(I\): \(m_I(E)=m(E)\) for Lebesgue-measurable \(E\subseteq I\). This is a finite measure with total mass \(v-u\), possibly zero if \(u=v\). If \(T:I\to\mathbb{R}\) is Borel measurable, its pushforward is the measure on \(\mathcal{B}_{\mathbb{R}}\) defined by \(\nu(B)= (T_{\#}m_I)(B)=m(\{x\in I:T(x)\in B\})\). Thus one computes \(\nu(B)\) by finding the preimage, not by measuring the image set \(T(B)\).
In each formula below, a density is with respect to Lebesgue measure on the target. Integrating that density over a Borel set \(B\) gives the pushforward mass of \(B\). Endpoints of intervals may be included or excluded in a density formula without changing its measure. A density that is unbounded near zero can still be integrable there and need not indicate an atom at zero.
Affine Maps: Constant Stretching
Proof. Suppose first that \(c\ne0\). The preimage of \(B\) in \(I\) is \(I\cap\{(y-d)/c:y\in B\}\). The affine scaling property of Lebesgue measure, \(m(sA+t)=|s|m(A)\) for Borel \(A\) and \(s\ne0\), therefore gives \(m(I\cap T^{-1}(B))=|c|^{-1}m(B\cap T(I))\). The set \(T(I)\) is precisely \(J\), so this equals the stated density integral. If \(c=0\), then \(T(x)=d\) for every \(x\in I\). The preimage of \(B\) is \(I\) when \(d\in B\), and is empty otherwise. Its measure is \((v-u)\chi_{\{d\}}(B)\), which is the measure \((v-u)\delta_d(B)\). This also covers \(u=v\), when the pushforward is zero. \(\square\)
Worked Example: An Affine Stretch and Translation
Take \(I=[0,2]\) and \(T(x)=3x-2\). The image interval is \(J=[-2,4]\), since \(T(0)=-2\) and \(T(2)=4\). For every Borel set \(B\), the affine formula gives \((T_{\#}m_I)(B)=\frac13m(B\cap[-2,4])\). In particular, for \(B=[-1,2]\), the inverse map is \(x=(y+2)/3\), so the preimage in \(I\) is \([1/3,4/3]\). Its length is \(4/3-1/3=1\), and the density formula gives \(\frac13(2-(-1))=1\) as well.
Check: the total pushforward mass is \(\frac13(4-(-2))=2\), equal to \(m([0,2])=2\). The factor \(1/3\) compensates for the map tripling lengths.
Absolute Value: Counting the Branches
The map \(T(x)=|x|\) folds the negative half-line onto the positive half-line. A positive target value \(y\) has possible preimages \(y\) and \(-y\); each contributes only if it lies in the source interval. The two branches are distinct for \(y>0\). The target value zero has only the preimage \(x=0\), a singleton of Lebesgue measure zero, so this map creates no atom at zero.
Proof. The preimage of \(B\cap(0,\infty)\) splits into its positive and negative parts. On the positive part \(T(x)=x\), so its measure is \(m(B\cap(0,\infty)\cap I)\). On the negative part, reflection \(x\mapsto -x\) preserves Lebesgue measure, and its measure is \(m(B\cap(0,\infty)\cap(-I))\), where \(-I=\{-x:x\in I\}\). These two contributions are exactly the two terms in the displayed integral. The remaining possible preimage, for target value zero, is contained in \(\{0\}\), whose Lebesgue measure is zero. The positive and negative parts are disjoint, so their measures add. \(\square\)
Worked Example: Folding the Interval [-2,1]
Let \(I=[-2,1]\). For \(0<y<1\), both \(y\) and \(-y\) belong to \(I\), so the density is \(2\). For \(1<y<2\), only \(-y\) belongs to \(I\), so the density is \(1\). For \(y>2\), neither branch belongs to \(I\). Consequently, up to endpoint values that do not affect the measure, the density is \(2\) on \((0,1)\), \(1\) on \((1,2)\), and \(0\) elsewhere.
For \(B=(1/4,1)\), both inverse branches contribute. Each branch gives an interval of length \(1-1/4=3/4\): the preimage is \((-1,-1/4)\cup(1/4,1)\), up to endpoints. Its measure is \(3/4+3/4=3/2\). The density calculation gives \(2(1-1/4)=3/2\). The total mass is \(2\cdot1+1\cdot1=3\), which matches \(m([-2,1])=3\).
Check: there is no additional mass at zero: its preimage is the singleton \(\{0\}\), of measure zero.
The Square Map: The Density Changes with the Inverse
For \(T(x)=x^2\), the inverse branches away from zero are \(x=\sqrt y\) and \(x=-\sqrt y\). Their slopes are not constant: the inverse stretches more near \(y=0\). This produces the factor \(1/(2\sqrt y)\) for each branch that belongs to the source interval. We first justify that factor from preimage lengths, then apply it to an arbitrary bounded interval.
Proof. First consider the positive branch \(x\in[0,r]\), where \(r\ge0\). For a target interval \((s,t)\subseteq(0,r^2)\), the preimage is \((\sqrt{s},\sqrt{t})\), whose length is \(\sqrt{t}-\sqrt{s}\). Direct integration gives \(\int_s^t (2\sqrt y)^{-1}\,dm(y)=\sqrt{t}-\sqrt{s}\). The same equality holds for intervals that reach zero by taking \(s=0\), since \(\int_0^t(2\sqrt y)^{-1}\,dm(y)=\sqrt t\), and for intervals cut off at \(r^2\) by restricting to the source range. Thus the two finite Borel measures on \([0,r^2]\), one defined by the preimage and the other by this density, agree on intervals. By the standard uniqueness theorem for finite measures agreeing on a generating family of intervals (the pi-lambda theorem), they agree on every Borel set. For a positive source interval \([a,b]\subseteq[0,\infty)\), subtract the corresponding identities for \([0,a)\) and \([0,b]\); the result is the same density restricted to \(y\in[a^2,b^2]\). Reflection gives the identical contribution for a negative source interval. Split \(I\) into its negative and positive parts. Their only possible overlap is \(x=0\), which has measure zero, and adding their contributions gives the two indicators in the formula. Finally, \(T^{-1}(\{0\})\cap I\subseteq\{0\}\), so zero has no atom. The integral near zero is finite because \(\int_0^t(2\sqrt y)^{-1}\,dm(y)=\sqrt t\). \(\square\)
Worked Example: Squaring the Interval [-1,2]
For \(I=[-1,2]\), both inverse branches lie in \(I\) when \(0<y<1\), while only \(+\sqrt y\) lies in \(I\) when \(1<y<4\). Thus, except at endpoints, the density is \(1/\sqrt y\) on \((0,1)\), \(1/(2\sqrt y)\) on \((1,4)\), and zero elsewhere.
For \(B=[1,9/4]\), only the positive branch contributes except at the single endpoint \(y=1\), which does not change the integral. The pushforward mass is \(\int_1^{9/4}(2\sqrt y)^{-1}\,dm(y)=\sqrt{9/4}-\sqrt1=3/2-1=1/2\). Directly, \(x^2\in[1,9/4]\) with \(x\in[-1,2]\) means \(x\in[1,3/2]\), up to endpoints, and this interval has length \(3/2-1=1/2\).
Check: the total mass computed from the density is \(\int_0^1y^{-1/2}\,dm(y)+\int_1^4(2\sqrt y)^{-1}\,dm(y)=2+(2-1)=3\), equal to the length of \([-1,2]\).
Common Mistakes and What the Formulas Show
Ignoring multiplicity. For the absolute-value map on \([-2,1]\), using density \(1\) on \((0,2)\) would give total mass \(2\), although the source has measure \(3\). The correction is to count each available preimage: the density is \(2\) on \((0,1)\) and \(1\) on \((1,2)\), giving total mass \(3\).
Counting zero twice as a branch of positive and negative values. For \(y>0\), the branches \(+\sqrt y\) and \(-\sqrt y\) are distinct. At \(y=0\), they coincide at \(x=0\). In the square-map formula the integral is over \(y>0\), and \(x=0\) contributes no mass because its preimage is a singleton. Equivalently, if branch sets are written explicitly, define the strictly negative branch by \(R_-(B)=\{-\sqrt y:y\in B\cap(0,\infty)\}\); then it does not contain zero. The positive branch may include zero, but any such inclusion changes no Lebesgue measure. The two branches on \(y>0\) are disjoint, and zero is not an atom.
These computations distinguish stretching from folding. A nonconstant affine map has one inverse branch and a constant density \(1/|c|\). Absolute value has a density equal to the number of available branches. Squaring has the same branch count, but each branch is weighted by \(1/(2\sqrt y)\), reflecting the changing inverse scale. The total mass in every case remains \(v-u\), since pushforward measures assign the whole target space the measure of its entire preimage \(I\).
Check Your Understanding
In each question, compute using the preimage first, then compare with the relevant density formula.
- For \(I=[1,4]\) and \(T(x)=2x+1\), find the pushforward density and its total mass.
- For \(I=[-3,-1]\) and \(T(x)=|x|\), determine the density on the positive half-line and compute the pushforward mass of \((2,3)\).
- For \(I=[0,4]\) and \(T(x)=x^2\), compute the density and the pushforward mass of \((1,4)\).
- Explain why the square map on any bounded interval has no atom at zero, even when zero belongs to the source.
- For \(I=[-2,1]\), identify the interval of positive target values for which the absolute-value map has two preimages in \(I\), and state its density there.