Moving a Set Without Changing Its Measure
A translation changes where a set lies, but not its size as measured by Lebesgue measure. The key is to compare covers before and after moving the set: every box in a countable cover can be translated by the same vector, with all its side lengths unchanged. This observation proves invariance first for Lebesgue outer measure, which is defined for every subset of \(\mathbb{R}^n\). The Carathéodory criterion then shows that the translation of a Lebesgue-measurable set is measurable as well.
Throughout, the ambient measure space is \((\mathbb{R}^n,\mathcal{L},m)\), where \(\mathcal{L}\) is the Lebesgue sigma-algebra and \(m\) is Lebesgue measure. This space is sigma-finite but not finite: \(\mathbb{R}^n\) has infinite measure. We also use Lebesgue outer measure \(m^*\), defined on all subsets of \(\mathbb{R}^n\). For \(a=(a_1,\ldots,a_n)\in\mathbb{R}^n\) and \(E\subseteq\mathbb{R}^n\), write \(E+a=\{x+a:x\in E\}\).
A bounded half-open box is a set \(Q=\prod_{i=1}^n[u_i,v_i)\), where \(u_i<v_i\) for each coordinate. Its coordinate volume is \(\operatorname{vol}(Q)=\prod_{i=1}^n(v_i-u_i)\). In the box-cover definition of \(m^*\), one takes the infimum of the sums of coordinate volumes over countable covers by such boxes. The established exact outer measure of rectangles says that a box is Lebesgue measurable and its measure is its coordinate volume.
Translating Box Covers
The box-cover argument works for arbitrary sets, whether or not they are measurable. If \(Q=\prod_{i=1}^n[u_i,v_i)\), then
The half-open endpoint convention is preserved: \(u_i\le x_i<v_i\) holds exactly when \(u_i+a_i\le x_i+a_i<v_i+a_i\). Translation is also a bijection, with inverse translation by \(-a\). Thus a countable box cover of \(S\) translates to a countable box cover of \(S+a\) with exactly the same sum of volumes.
Proof. Fix any \(S\subseteq\mathbb{R}^n\) and \(a\in\mathbb{R}^n\). First suppose \(m^*(S)<\infty\), and let \(\varepsilon>0\). By the definition of outer measure as an infimum of covering sums, there is a countable box cover \((Q_j)_{j\ge1}\) of \(S\) such that \(\sum_{j\ge1}\operatorname{vol}(Q_j)<m^*(S)+\varepsilon\). The boxes \(Q_j+a\) cover \(S+a\), and their volume sum is the same. Therefore \(m^*(S+a)\le m^*(S)+\varepsilon\) for every \(\varepsilon>0\), so \(m^*(S+a)\le m^*(S)\). If \(m^*(S)=\infty\), this inequality holds in the extended real order without choosing a cover. Apply the resulting inequality to \(S+a\) and the vector \(-a\). Since \((S+a)+(-a)=S\), it gives \(m^*(S)\le m^*(S+a)\). Hence \(m^*(S+a)=m^*(S)\), including the case where either value is infinite.
It remains to check measurability, since equality of outer measures alone does not, by itself, establish that a set is Lebesgue measurable. The Carathéodory criterion says that \(E\subseteq\mathbb{R}^n\) is Lebesgue measurable exactly when, for every \(A\subseteq\mathbb{R}^n\), \(m^*(A)=m^*(A\cap E)+m^*(A\setminus E)\). This criterion is applied to outer measure, so the test set \(A\) need not be measurable.
Now let \(E\in\mathcal{L}\) and fix \(a\in\mathbb{R}^n\). For an arbitrary \(A\subseteq\mathbb{R}^n\), set \(A'=A-a\). Because translation is a bijection, \(A\cap(E+a)=(A'\cap E)+a\) and \(A\setminus(E+a)=(A'\setminus E)+a\). The outer-measure invariance just proved, followed by the Carathéodory criterion for \(E\), gives
This holds for every \(A\), so the criterion proves \(E+a\in\mathcal{L}\). Its measure is the restriction of outer measure to measurable sets; consequently \(m(E+a)=m^*(E+a)=m^*(E)=m(E)\). This argument also covers \(m(E)=\infty\). Proof. \(\square\)
Worked Calculations
Worked Example: Translating a Box in Three Dimensions
Let \(Q=[-1,2)\times[0,4)\times[3,5)\subset\mathbb{R}^3\), and translate by \(a=(2,-3,1)\). Calculate the translated box and its measure.
Adding the corresponding coordinate of \(a\) to each endpoint gives \(Q+a=[1,4)\times[-3,1)\times[4,6)\). Its side lengths are \(4-1=3\), \(1-(-3)=4\), and \(6-4=2\). Therefore its volume is \(3\cdot4\cdot2=24\). The original side lengths are \(2-(-1)=3\), \(4-0=4\), and \(5-3=2\), so its volume is also \(3\cdot4\cdot2=24\). The box formula checks the result independently of the translation theorem, which guarantees that the two measures agree.
Check: the translated endpoints give widths \(3,4,2\), and their product is \(24\); the original endpoints give those same widths and product.
Worked Example: A Translation of an Overlapping Union
In \(\mathbb{R}^2\), take \(A=[0,3)\times[0,2)\) and \(B=[2,4)\times[1,3)\). Find the measure of \(A\cup B\), then translate the union by \(a=(-1,2)\) and verify the measure directly.
The measures of the two rectangles are \(m(A)=3\cdot2=6\) and \(m(B)=2\cdot2=4\). Their intersection is \([2,3)\times[1,2)\), which has measure \((3-2)(2-1)=1\). Finite additivity on disjoint measurable sets gives the inclusion-exclusion calculation \(m(A\cup B)=m(A)+m(B)-m(A\cap B)=6+4-1=9\). In this calculation, the overlap is subtracted once because it was counted in both \(m(A)\) and \(m(B)\).
Translation gives \(A+a=[-1,2)\times[2,4)\) and \(B+a=[1,3)\times[3,5)\). Their intersection is \([1,2)\times[3,4)\), of measure \((2-1)(4-3)=1\). The translated rectangles have measures \(3\cdot2=6\) and \(2\cdot2=4\), respectively. The same disjoint-additivity calculation gives \(m((A\cup B)+a)=6+4-1=9\).
Check: the translated intersection has widths \(1\) and \(1\), so it has measure \(1\); the translated union therefore has measure \(6+4-1=9\), as does the original union.
Worked Example: Translating a Finite Union of Disjoint Boxes
Let \(C=[0,2)\times[0,1)\) and \(D=[0,1)\times[1,3)\) in \(\mathbb{R}^2\). Find the measure of \(C\cup D\) and of its translate by \(b=(3,-2)\).
The boxes are disjoint: a point in \(C\) has second coordinate \(y<1\), while a point in \(D\) has second coordinate \(y\ge1\). Their measures are \(m(C)=(2-0)(1-0)=2\) and \(m(D)=(1-0)(3-1)=2\). By finite additivity, \(m(C\cup D)=2+2=4\).
Translating each box gives \(C+b=[3,5)\times[-2,-1)\) and \(D+b=[3,4)\times[-1,1)\). These are still disjoint: the first has second coordinate less than \(-1\), and the second has second coordinate at least \(-1\). Their measures are \((5-3)(-1-(-2))=2\cdot1=2\) and \((4-3)(1-(-1))=1\cdot2=2\). Thus the translated union has measure \(2+2=4\).
Check: the original and translated unions each consist of two disjoint boxes, and in each case the box measures sum to \(2+2=4\), agreeing with translation invariance.
Common Pitfall: Using Endpoint Locations as Side Lengths
Translation invariance does not mean that the endpoints of a box are irrelevant to describing the box. It means that the measure depends on its side lengths, which are differences of endpoints, not on the endpoints themselves. For example, translating \([2,5)\times[-1,1)\) by \((10,-4)\) gives \([12,15)\times[-5,-3)\). A wrong calculation might multiply the translated upper endpoints, obtaining \(15\cdot(-3)=-45\), and treat that as an area. This is incorrect: a negative “area” cannot be the measure of a rectangle, and products of endpoints do not give its coordinate volume.
The correction is to subtract the lower endpoint from the upper endpoint in each coordinate. The translated widths are \(15-12=3\) and \(-3-(-5)=2\), so the translated box has measure \(3\cdot2=6\). For the original box, the widths are \(5-2=3\) and \(1-(-1)=2\), giving \(3\cdot2=6\) again. In particular, a box may lie partly or wholly at negative coordinates and still have nonnegative measure.
What the Invariance Result Gives
The box calculation is only the starting point. The outer-measure proof shows why the same principle applies even when a measurable set has no finite box decomposition: a countable cover can be shifted box by box, preserving its total cost. The Carathéodory step is what extends this outer-measure fact to the Lebesgue-measurable sets on which \(m\) is defined. For the empty set, the equality also holds: its translate is empty and both measures are zero. For sets of infinite measure, the theorem asserts equality in the extended real numbers, not a finite numerical value.
When a finite union of boxes overlaps, do not add the individual box measures without accounting for the overlap. One may partition the union into disjoint measurable pieces or subtract overlaps as in the second example. Translation preserves the measure of the union itself; the direct calculations confirm that side lengths and intersection volumes are unchanged. These calculations concern translations only; other coordinate transformations require separate arguments.
Check Your Understanding
For each question, state which measure space or outer measure is being used and distinguish measurability from the calculation of box volume.
- For \(Q=[-2,1)\times[2,5)\) in \(\mathbb{R}^2\), find \(Q+(4,-3)\) and calculate both box measures from their side lengths.
- In the outer-measure proof, why does an \(\varepsilon\)-approximation of a covering sum suffice when \(m^*(S)<\infty\)? How is the case \(m^*(S)=\infty\) handled?
- State the Carathéodory criterion and explain how applying it to \(A-a\) proves that \(E+a\) is measurable when \(E\) is measurable.
- Let \(R=[0,2)\times[0,2)\) and \(T=[1,3)\times[1,3)\). Calculate the measure of \(R\cup T\) by finding the intersection, then translate the union by \((2,-1)\) and check the result.
- Does translation invariance assert that every subset of \(\mathbb{R}^n\) is measurable? Explain the distinction between invariance of \(m^*\) on all subsets and invariance of \(m\) on \(\mathcal{L}\).