Refinement and Monotonicity of Darboux Sums
Suppose you approximate the area under a curve using rectangles. Then you slice those rectangles into thinner ones. You do this by adding more division points. Does your estimate of area from above get better — that is, smaller? Does your estimate from below get better by growing larger? This is the intuitive question behind one of the load-bearing lemmas of Riemann integration theory. It sounds obvious from a picture. But a rigorous course cannot rest on pictures. We need an airtight argument. It must show that adding points to a partition can only push upper sums down. It can only push lower sums up, never the wrong way. This fact — refinement monotonicity — has an important corollary. Every lower sum is dominated by every upper sum. This holds even for sums built from different partitions. This is what makes the definitions of the upper and lower Riemann integral coherent in the first place. Without it, things could go wrong. The "infimum of upper sums" and "supremum of lower sums" used to define the Darboux integral could behave erratically. There would be no guarantee that the upper integral even exceeds the lower integral. This single inequality is the hinge on which the entire theory of Riemann integrability turns. The big picture: Darboux sums are built from partitions. Partitions form a directed structure under inclusion. You can always combine two partitions into a common refinement. The lemma proved here shows something important. The map "partition ↦ upper sum" is order-reversing. The map "partition ↦ lower sum" is order-preserving with respect to this structure. Combined with boundedness of the function, this guarantees something. The upper integral (an infimum) and lower integral (a supremum) exist as real numbers. It also guarantees that the former is at least the latter. This article gives the precise definitions. It states and proves the refinement theorem and its corollary in full. It works two asymmetric numerical examples. It exhibits what fails without boundedness. It previews how this machinery feeds directly into the definition of The Darboux Integral.
- A partition of cuts it into finitely many subintervals; a refinement adds more points.
- Upper sums use suprema of on each subinterval; lower sums use infima.
- Refining decreases upper sums: .
- Refining increases lower sums: .
- Any lower sum any upper sum, even for different partitions , via the common refinement .
- Key idea: adding one point to a partition only makes the local sup/inf boxes tighter, and induction extends this from one point to arbitrarily many.
Where this lives today
The refinement monotonicity lemma is not an isolated curiosity — it is the engine behind several downstream results students meet immediately after. It is what allows one to define the upper and lower integrals as a genuine infimum and supremum (rather than an ill-defined limit), which feeds directly into The Darboux Integral and the Riemann Integrability Criterion (a bounded function is integrable iff for every there is a partition with — a statement that presupposes refining never makes the gap worse). In numerical analysis, the same monotonicity principle underlies adaptive quadrature methods, where a numerical integration routine refines a mesh locally and relies on the guarantee that finer meshes give provably tighter error bounds. In measure theory, the analogous monotonicity of upper and lower sums under refinement of a partition generalizes to monotonicity of approximating sums under refining a measurable partition, a recurring pattern in the construction of the Lebesgue integral and in probability theory's treatment of conditional expectation with respect to refining -algebras (filtrations). The order-theoretic idea — that a directed family of partitions under inclusion produces monotone approximating quantities — also appears in the theory of nets and Riemann–Stieltjes sums, and in computer science, in the analysis of divide-and-conquer numerical integration algorithms where correctness proofs invoke exactly this "refining never hurts" guarantee.
:::quiz[If are partitions of a bounded function on , which inequality is always true?]
- ✓
- always
:::quiz[Given two partitions of that are not refinements of each other, how do we prove ?]
- We assume it directly from the definition of infimum and supremum
- We compare corresponding subintervals of and term by term
- We use the common refinement and chain inequalities through it ✓
- We require and to have the same number of points
:::quiz[What role does boundedness of on play in the theorem?]
- It ensures the partition points are rational numbers
- It ensures each and is a finite real number so sums are well-defined ✓
- It ensures is monotonic on each subinterval
- It has no logical role; it is stated only for convention
Ask the tutor: How does this monotonicity lemma get used to prove the Riemann integrability criterion involving ?
Let be a bounded function on a closed bounded interval , . A partition of is a finite set of points
It divides into subintervals for , with lengths . For each subinterval, since is bounded, define
These are finite real numbers because is bounded on , hence on each . The upper Darboux sum and lower Darboux sum of with respect to are
A partition is a refinement of if (every point of is a point of ; may contain additional points). Given two partitions of , their common refinement is , which is itself a partition of and refines both and .
Intuition
Picture the graph of a bounded function over , with a partition drawn as vertical grid lines. Over each subinterval, the upper sum uses the tallest rectangle that still fits under (or touches) the graph's ceiling, and the lower sum uses the shortest rectangle that still reaches the graph's floor. Now insert one new grid line inside some subinterval , splitting it into two pieces and . The supremum of over each of the two smaller pieces can only be less than or equal to the supremum over the whole of , because each smaller piece is a subset of and taking the sup over a smaller set never increases it. So the single wide rectangle of height is replaced by two narrower rectangles whose heights are each at most — the total upper area can only shrink or stay the same. Symmetrically, infima over subsets only increase, so lower sums only grow. Once this "one new point" step is justified, refining by finitely many points is just repeating the step, which is where induction enters. The final piece — that any lower sum is at most any upper sum, even across unrelated partitions — follows by comparing both to the sums for their common refinement, which sits above both partitions in the refinement order and lets us chain the inequalities together.
Let be bounded, and let and be partitions of with (so is a refinement of ). Then
Consequently, for any two partitions of (not necessarily related by refinement),
We prove the theorem in stages. Throughout, is bounded on , so all suprema and infima appearing below are finite real numbers (a bounded set of reals has a finite sup and finite inf, by the completeness of ).
Step 0: for any single partition , . Write , and for each let , on . Since is nonempty, (the infimum of a set of real numbers is always its supremum, when both exist and the set is nonempty — pick any point ; then ). Since ,
and summing over gives .
Step 1: the one-point refinement lemma. Suppose where is a single new point. We claim
Since , it lies strictly inside exactly one subinterval of , say for some . All other subintervals of are unchanged in ; the only difference between the sums is in the terms coming from , which splits into
Let
and similarly for infima. Since and , and the supremum of over a subset of cannot exceed the supremum of over itself (any upper bound for on is also an upper bound for on the smaller set), we get
Similarly, the infimum over a subset cannot be smaller than the infimum over the whole set (any lower bound for on is also a lower bound on the subset), so
Now compare the sums directly. The upper sum for contributes to the total from (just splitting the length additively), while the upper sum for contributes from the two pieces. Since and , and both length factors and are positive,
All other terms of and (from subintervals other than ) are identical. Adding these identical terms to both sides of the inequality above gives
The argument for lower sums is symmetric: since and ,
and adding the unchanged remaining terms gives
This proves Step 1.
Step 2: induction to a refinement by finitely many points. Suppose where has points not in . We prove and by induction on . Base case : then and both inequalities are equalities, trivially true. Inductive step: suppose the claim holds whenever the refinement adds at most new points (), and let add exactly new points to . Enumerate the new points as (all lying in ), and define an intermediate partition
which adds only new points to , and note adds exactly one new point to (since , as and by the strict ordering). By the inductive hypothesis applied to :
By Step 1 applied to the one-point refinement :
Chaining these inequalities,
This completes the induction, proving that for any refinement (finitely many added points, since both are finite sets),
Step 3: assembling the chain in the theorem. Given , combine Step 2 with Step 0 applied to the single partition :
This is exactly the claimed chain of inequalities.
Step 4: the corollary for arbitrary . Let be any two partitions of , and let be their common refinement. Since and is a finite set (a union of two finite sets), the chain from Step 3 applied to the pair gives
Similarly, applying the chain to the pair (noting ) gives
Also by Step 0 applied to itself, . Chaining all three:
Hence , as claimed.
∎Let be bounded on . Then the set is bounded above (by for any fixed partition ), and the set is bounded below (by ). Consequently both
exist as finite real numbers, and .
Fix any partition . By the theorem's corollary (Step 4), for every partition we have , so is an upper bound for ; this set is also nonempty (it contains ), so by completeness of its supremum exists and is finite, and moreover
for this arbitrary fixed (since the supremum is the least upper bound, it is any given upper bound). As was arbitrary, is a lower bound for . This set is nonempty and bounded below, so by completeness its infimum exists, is finite, and satisfies
since is the greatest lower bound and we exhibited as a lower bound.
∎Worked examples
Example 1: Refining an asymmetric partition of a linear function. Let on , and let (an intentionally uneven partition — one short subinterval, one long one). Since is increasing, on any subinterval we have and . Subintervals of : with , and with .
Now refine by inserting the single point into the long subinterval , giving . The subinterval is unchanged. The subinterval splits into (length ) and (length ):
Check the theorem's chain:
Indeed , confirming refinement decreased the upper sum () and increased the lower sum (), exactly as the theorem predicts — and note the decrease and increase are of different magnitudes ( vs.\ here coincidentally equal since is linear with slope and the split was symmetric in length, but observe this need not happen in general, as the next example shows with a nonlinear function).
Example 2: Two unrelated partitions and the common-refinement argument, for a nonlinear function. Let on . Take two partitions that are not refinements of one another:
Compute . On : . On : .
Compute . On : . On : .
The theorem's corollary claims , i.e. — true, but let's verify it is not a coincidence by explicitly building the common refinement and checking the full chain. Subintervals of : , each of length .
Since , the theorem gives , i.e. — true. Since , the theorem gives , i.e. — true. And gives — true. Chaining exactly as in Step 4 of the proof:
which reproduces but through the intermediate common refinement, exactly as the proof constructs it — not by any special relationship between and themselves.
The theorem requires to be bounded on , so that every and is a finite real number. Drop this hypothesis and the sums may fail to be well-defined real numbers at all, making "decreases" or "increases" meaningless. Let be defined by
This is unbounded on (it is unbounded on every interval ). Take . On , since as . So is not a finite number — it does not exist as a real number, and the "upper Darboux sum" is undefined (or must be declared by convention, which is not a real number and breaks the ordered-field arithmetic the theorem's proof relies on). Now refine to . On , still (since is unbounded on every interval touching ), so is also not finite — refining did not fix the problem, and there is no meaningful sense in which since neither is a real number. The entire chain of inequalities in the theorem, which relies at each step on comparing finite reals via the completeness of and on subtracting/adding finite quantities, simply cannot be formed. This is precisely why the definitions of Darboux sums and the theorem both begin with "let be bounded": without it, and need not exist as real numbers, Step 0 of the proof ("") is not even a well-posed comparison of real numbers, and the entire refinement argument collapses before it starts.
Scope, edge cases & common traps
| Situation | What happens |
|---|---|
| (no new points) | Chain becomes equalities: — theorem holds trivially. |
| unrelated (neither refines the other) | Theorem still gives via the common refinement ; this is the corollary, not the main chain. |
| constant, | Every , so for every partition — refinement changes nothing, consistent with the theorem (all inequalities become equalities). |
| unbounded on | or may be or ; Darboux sums are undefined; theorem's hypotheses are not met. See the counterexample above. |
| Refining by infinitely many points at once | Not covered — the proof's induction is on the finite number of added points; partitions are finite sets by definition, so this case does not arise within the theorem's scope. |
The mathematician behind it
Origins · 1 minJean-Gaston Darboux and how this was discovered
Darboux developed a self-contained, purely order-theoretic account of the integral using upper and lower sums, publishing it in 1875. His approach reformulated Riemann's earlier, more computational definition (built from arbitrary tagged sums and limits over partition meshes) into a cleaner criterion based on suprema and infima, sup and inf of sums over all partitions. Darboux's version is the one almost universally taught today as "the Riemann integral," even though it is more precisely the **Darboux integral** — proved equivalent to Riemann's original definition, but logically prior in most modern textbooks because its monotonicity properties, exactly the ones proved in this article, are so much easier to establish rigorously.
Does refining a partition always strictly decrease the upper sum?
No. If is constant on the subinterval being split, or more generally if the supremum over each of the two new pieces still equals the supremum over the original piece (which can happen even for non-constant , e.g. if the sup is attained at an endpoint shared by both pieces), the upper sum stays exactly the same after refining. The theorem only guarantees a non-strict inequality . Strict decrease is common but not guaranteed; proving strict decrease requires extra hypotheses (such as attaining strictly different suprema on the two sub-pieces), which is beyond the scope of this monotonicity result.
Why do we need the common refinement to compare sums from different partitions?
Two arbitrary partitions and may have completely different sets of division points, with no subinterval of contained in or equal to a subinterval of . There is no way to directly compare and term by term because the subintervals do not align. The trick is to pass through a third partition, , which refines both and simultaneously. The refinement theorem (proved for the inclusion order) then applies to each pair and separately, and the inequalities chain together through .
Is this the same as proving that is Riemann integrable?
No, and this is a common confusion. This theorem only shows that upper sums decrease and lower sums increase under refinement, and that every lower sum is at most every upper sum. It guarantees the upper integral and lower integral exist as finite numbers with . Integrability requires the stronger statement that these two numbers are equal, which is a separate theorem (the Riemann/Darboux integrability criterion) built on top of this one.
Can the theorem fail if the partition points are not required to be increasing, i.e. not properly ordered?
The definition of a partition already builds in , so "not properly ordered" point sets are not partitions at all — the theorem's hypotheses simply do not apply to them. If you tried to define sums using an unordered listing of points, the subintervals could be negative, breaking the very first inequality in Step 0 of the proof (which relies on to preserve the direction of the inequality when multiplying).
Does this theorem require to be continuous?
No. The only hypothesis on is boundedness on ; continuity is never used anywhere in the proof. The suprema and infima exist for any bounded function by the completeness of (bounded nonempty sets of reals have finite sup and inf), regardless of continuity. Continuity becomes important later, in proving that specific classes of functions (like continuous functions) are actually Riemann integrable, but it plays no role in this monotonicity lemma itself.
What happens if , i.e. the interval is degenerate?
The setup assumes so that partitions have at least one subinterval of positive length. If , there are no subintervals to speak of, both sums are vacuously for the trivial "partition" , and the theorem's content is empty (there is nothing to refine). This trivial case is typically excluded from the outset, as done here, to avoid degenerate bookkeeping.