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Integral Properties and Estimates · Tutorial 999 of 1495

Integral Bounds From Darboux Sums

Use lower and upper Darboux sums to place a definite integral inside a guaranteed interval and measure the width of that interval.

Intermediate 9 min read

What You'll Learn

  • Define lower and upper Darboux sums using the infimum and supremum on each subinterval
  • State the conditions under which Darboux sums bound a definite integral
  • Prove that the integral lies between the two sums
  • Calculate the gap between the sums as a measure of estimate uncertainty
  • Use Darboux bounds for functions that increase, curve, or change sign
  • Interpret the midpoint of the bounds as an estimate with a guaranteed error limit

Why Bound an Integral?

A definite integral can represent accumulated change or signed area, but its exact value is not always easy to calculate. A partition provides another approach: on each subinterval, enclose the function between a lower and an upper height, then add the resulting rectangle areas. The two totals give a guaranteed interval containing the integral.

The width of that interval is useful information in its own right. A narrow interval means the partition provides a precise estimate; a wide interval leaves greater uncertainty. The bounds do not require the integral’s exact value to be known in advance.

Partitions and Darboux Sums

Let \(f\) be a bounded function on the closed interval \([a,b]\), where \(a<b\). A partition \(P\) of this interval is a finite increasing list of points

$$ a=x_0<x_1<\cdots<x_n=b. $$

The \(i\)th subinterval is \([x_{i-1},x_i]\), and its width is \(\Delta x_i=x_i-x_{i-1}\), which is positive. On that subinterval, let \(m_i\) be the infimum of \(f\), and let \(M_i\) be its supremum. Boundedness ensures these are finite. If \(f\) is continuous, it attains its minimum and maximum on each closed subinterval, so \(m_i\) and \(M_i\) are those values.

Definition: The lower Darboux sum \(L(f,P)\) and upper Darboux sum \(U(f,P)\) for \(f\) and partition \(P\) are
$$ L(f,P)=\sum_{i=1}^{n}m_i\Delta x_i, \qquad U(f,P)=\sum_{i=1}^{n}M_i\Delta x_i. $$
Each subinterval contributes its lowest possible height times its width to the lower sum, and its highest possible height times its width to the upper sum.

The heights may be negative. In that case, the corresponding rectangle contribution is a signed area: for example, a negative height times a positive width gives a negative contribution. The same formulas apply whether \(f\) stays above the horizontal axis, stays below it, or changes sign.

The Integral Lies Between the Sums

For a bounded Riemann-integrable function, the lower and upper sums for any fixed partition enclose its definite integral. The integral need not equal either sum. It is the total accumulated value that lies between these two estimates.

Theorem: If \(f\) is bounded and Riemann integrable on \([a,b]\), then for every partition \(P\) of \([a,b]\),
$$ L(f,P)\leq \int_a^b f(x)\,dx\leq U(f,P). $$
In particular, \(L(f,P)\leq U(f,P)\).

Here we use the monotonicity property of the definite integral: if integrable functions \(g\) and \(h\) satisfy \(g(x)\leq h(x)\) on an interval, then \(\int g\leq\int h\) over that interval. A continuous function on a closed bounded interval is bounded and Riemann integrable, so continuous functions satisfy the theorem’s hypotheses.

Why the Bounds Hold

On the \(i\)th subinterval, the definitions of infimum and supremum give \(m_i\leq f(x)\leq M_i\) at every point \(x\). Integrating these inequalities over that subinterval preserves their order. Adding the resulting inequalities over all subintervals gives the stated bounds. This uses additivity of the definite integral across adjacent intervals.

1
Enclose the function locally.
On each \([x_{i-1},x_i]\), \(m_i\leq f(x)\leq M_i\).
2
Integrate each enclosure.
Monotonicity gives \(m_i\Delta x_i\leq\int_{x_{i-1}}^{x_i}f(x)\,dx\leq M_i\Delta x_i\), because the integral of a constant over an interval is that constant times the interval’s width.
3
Add across the partition.
Additivity turns the sum of the subinterval integrals into the integral over \([a,b]\). The sums on the two sides are precisely \(L(f,P)\) and \(U(f,P)\).

In equations, the full argument is

$$ m_i\leq f(x)\leq M_i \quad\Longrightarrow\quad m_i\Delta x_i \leq \int_{x_{i-1}}^{x_i}f(x)\,dx \leq M_i\Delta x_i, $$
$$ \sum_{i=1}^{n}m_i\Delta x_i \leq \sum_{i=1}^{n}\int_{x_{i-1}}^{x_i}f(x)\,dx \leq \sum_{i=1}^{n}M_i\Delta x_i, $$
$$ L(f,P)\leq \int_a^b f(x)\,dx\leq U(f,P). $$

This reasoning also explains why the lower and upper sums are ordered. Since \(m_i\leq M_i\) and \(\Delta x_i>0\), each lower contribution is at most its corresponding upper contribution. Adding gives \(L(f,P)\leq U(f,P)\).

The Gap Measures Uncertainty

Subtracting the lower sum from the upper sum gives the width of the interval in which the integral is known to lie. Since both sums use the same partition, their difference can be calculated interval by interval.

$$ U(f,P)-L(f,P) = \sum_{i=1}^{n}(M_i-m_i)\Delta x_i. $$

Each \(M_i-m_i\) is the vertical range of the function on one subinterval. Multiplying this range by the subinterval’s width gives that subinterval’s contribution to the uncertainty. The total gap is nonnegative.

If we use the midpoint of the bounds as an estimate, define

$$ E=\frac{L(f,P)+U(f,P)}{2}. $$

Because the integral lies between the two endpoints, its distance from this midpoint cannot exceed half the gap:

$$ \left|\int_a^b f(x)\,dx-E\right| \leq \frac{U(f,P)-L(f,P)}{2}. $$

This is a guaranteed error limit, not a claim that the midpoint is the exact integral. The integral might be anywhere within the bounds.

Worked Examples

Worked Example: Bounding the Integral of an Increasing Function

Find the lower and upper Darboux sums for \(f(x)=x\) on \([0,2]\) using the partition \(P=\{0,1,2\}\), then check that they bound the integral.

Both subintervals have width \(1\). On \([0,1]\), the minimum is \(0\) and the maximum is \(1\). On \([1,2]\), the minimum is \(1\) and the maximum is \(2\). Therefore,

$$ L(f,P)=(0)(1)+(1)(1)=0+1=1, \qquad U(f,P)=(1)(1)+(2)(1)=1+2=3. $$

Thus the integral must lie between \(1\) and \(3\). To check the enclosure directly, calculate the integral:

$$ \int_0^2x\,dx = \left[\frac{x^2}{2}\right]_0^2 = \frac{2^2}{2}-\frac{0^2}{2} = 2. $$

Indeed, \(1\leq2\leq3\). The gap is \(3-1=2\), and the midpoint estimate is \((1+3)/2=2\). In this example the midpoint happens to equal the integral; the bound alone does not guarantee that in general.

Worked Example: Bounding a Curved Function

Use the partition \(P=\{0,\frac13,\frac23,1\}\) to bound \(\int_0^1 x^2\,dx\).

Each subinterval has width \(\frac13\). Since \(x^2\) is increasing on \([0,1]\), its minimum and maximum on each subinterval occur at the left and right endpoints, respectively. The lower sum is

$$ L(f,P) = \left(0^2\right)\frac13 + \left(\left(\frac13\right)^2\right)\frac13 + \left(\left(\frac23\right)^2\right)\frac13 = 0+\frac{1}{27}+\frac{4}{27} = \frac{5}{27}. $$

The upper sum is

$$ U(f,P) = \left(\left(\frac13\right)^2\right)\frac13 + \left(\left(\frac23\right)^2\right)\frac13 + \left(1^2\right)\frac13 = \frac{1}{27}+\frac{4}{27}+\frac{9}{27} = \frac{14}{27}. $$

So the guaranteed bounds are \(\frac{5}{27}\leq\int_0^1x^2\,dx\leq\frac{14}{27}\). Checking by direct integration,

$$ \int_0^1x^2\,dx = \left[\frac{x^3}{3}\right]_0^1 = \frac13 = \frac{9}{27}, $$

which lies between \(\frac{5}{27}\) and \(\frac{14}{27}\). The gap is \(\frac{14}{27}-\frac{5}{27}=\frac{9}{27}=\frac13\). The midpoint estimate is \(\frac{19}{54}\), so the theorem guarantees an error of at most \(\frac16\). The actual difference is \(\left|\frac{19}{54}-\frac{18}{54}\right|=\frac{1}{54}\), within that limit.

Worked Example: Bounds When the Function Changes Sign

Use \(f(x)=x-1\) on \([0,2]\) with the partition \(P=\{0,\frac12,\frac32,2\}\). This example shows why Darboux sums use signed heights rather than treating every rectangle as positive area.

The interval widths are \(\frac12\), \(1\), and \(\frac12\). On the first subinterval, \(f\) ranges from \(-1\) to \(-\frac12\); on the second, from \(-\frac12\) to \(\frac12\); on the third, from \(\frac12\) to \(1\). Thus

$$ L(f,P) = (-1)\frac12 + \left(-\frac12\right)(1) + \left(\frac12\right)\frac12 = -\frac12-\frac12+\frac14 = -\frac34, $$
$$ U(f,P) = \left(-\frac12\right)\frac12 + \left(\frac12\right)(1) + (1)\frac12 = -\frac14+\frac12+\frac12 = \frac34. $$

The bounds give \(-\frac34\leq\int_0^2(x-1)\,dx\leq\frac34\). Direct calculation checks the result:

$$ \int_0^2(x-1)\,dx = \left[\frac{x^2}{2}-x\right]_0^2 = \left(2-2\right)-0 = 0. $$

Therefore, \(-\frac34\leq0\leq\frac34\), as required. The gap is \(\frac34-(-\frac34)=\frac32\). Contributions below the axis are negative in both sums; replacing them with positive areas would no longer calculate Darboux sums for the signed integral.

A Common Mistake: Reversing the Bounds

A frequent error is to assume that the lower sum must be positive or that the upper sum must be the larger positive-looking area. The correct comparison is numerical: each interval’s infimum is at most its supremum, and the width is positive. This remains true when both values are negative.

For instance, on \([0,1]\), \(f(x)=-2\) is constant. With the one-interval partition, the lower and upper heights are both \(-2\), so

$$ L(f,P)=(-2)(1)=-2, \qquad U(f,P)=(-2)(1)=-2. $$

The integral is \(\int_0^1-2\,dx=-2\), so the correct relation is \(-2\leq-2\leq-2\). A calculation that changes the negative rectangle area to \(2\) has switched from signed accumulation to ordinary geometric area and does not give the definite integral.

Using the Bounds Responsibly

Darboux bounds are useful when the function’s range on each subinterval can be determined, even if the integral itself is inconvenient to evaluate. Before applying the theorem, check that the function is bounded and Riemann integrable on the interval; continuity on a closed, bounded interval is a common sufficient condition. Then determine the infimum and supremum on every subinterval, preserve the signs of the heights, and calculate both sums.

The final statement should include the whole interval of possible values, not just one selected estimate. For example, \(L\leq\int_a^b f(x)\,dx\leq U\) communicates the guarantee, while the gap \(U-L\) tells how much uncertainty remains for that partition.

Check Your Understanding

Use the definitions and bounds from this tutorial to answer the following questions.

  1. What information about \(f\) on each subinterval determines its contribution to the lower Darboux sum?
  2. State the hypotheses and inequality that guarantee a definite integral lies between its Darboux sums.
  3. Why is the gap between the sums \(\sum_{i=1}^{n}(M_i-m_i)\Delta x_i\)?
  4. If the lower and upper sums are \(-2\) and \(4\), what is the midpoint estimate and what error limit is guaranteed?
  5. Why must a negative rectangle contribution remain negative when bounding a signed definite integral?

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