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Definite Integrals






From Sums to Areas


The definite integral answers a concrete question: what is the total accumulated quantity between two points? Geometrically, this corresponds to the area between a curve and the horizontal axis—but with a crucial refinement. Regions below the axis contribute negative area, making the integral a signed quantity.

The notation

abf(x)dx\int_a^b f(x)\, dx


specifies the integrand f(x)f(x), the variable of integration xx, and the bounds from aa to bb. The result is a single number, not a function. This number represents net accumulation: the sum of infinitely many infinitesimal contributions f(x)dxf(x)\, dx as xx traverses the interval.

Riemann sums provide the rigorous foundation. Approximate the region with rectangles, compute their total area, and take the limit as the rectangles become infinitely thin. What emerges is not an approximation but an exact value—the definite integral.



The Riemann Sum Construction


The definite integral arises as a limit of approximating sums.

Partition the interval [a,b][a, b] into nn subintervals of width Δx=(ba)/n\Delta x = (b - a)/n. In each subinterval, choose a sample point xix_i^* and form the rectangle with height f(xi)f(x_i^*) and width Δx\Delta x. The total area of these rectangles is the Riemann sum:

Sn=i=1nf(xi)ΔxS_n = \sum_{i=1}^{n} f(x_i^*) \Delta x


As nn \to \infty and the rectangles become infinitely thin, the Riemann sum approaches the definite integral:

abf(x)dx=limni=1nf(xi)Δx\int_a^b f(x)\, dx = \lim_{n \to \infty} \sum_{i=1}^{n} f(x_i^*) \Delta x


The choice of sample points—left endpoints, right endpoints, midpoints—affects individual Riemann sums but not the limit, provided ff is integrable.

Notation and Meaning


The definite integral

abf(x)dx\int_a^b f(x)\, dx


consists of several components. The lower limit aa and upper limit bb bound the interval of integration. The integrand f(x)f(x) specifies what is being accumulated. The differential dxdx indicates the variable of integration.

The result is a number, not a function. The variable xx is a dummy variable—a placeholder that disappears after integration. The expressions

01t2dt01u2du01x2dx\int_0^1 t^2\, dt \qquad \int_0^1 u^2\, du \qquad \int_0^1 x^2\, dx


all represent the same value: 1/31/3.

Signed Area Interpretation


The definite integral computes area with sign.

Where f(x)>0f(x) > 0, the region between the curve and the xx-axis lies above the axis and contributes positive area. Where f(x)<0f(x) < 0, the region lies below the axis and contributes negative area.

The integral sums these signed contributions:

abf(x)dx=(area above)(area below)\int_a^b f(x)\, dx = (\text{area above}) - (\text{area below})


This means the integral can be zero even when substantial area exists—positive and negative regions may cancel. It can also be negative when the curve lies predominantly below the axis.

To find total unsigned area, integrate the absolute value:

Total area=abf(x)dx\text{Total area} = \int_a^b |f(x)|\, dx


Properties of Definite Integrals


Definite integrals satisfy several fundamental properties.

Additivity over intervals:

abf(x)dx+bcf(x)dx=acf(x)dx\int_a^b f(x)\, dx + \int_b^c f(x)\, dx = \int_a^c f(x)\, dx


Reversing limits negates the integral:

abf(x)dx=baf(x)dx\int_a^b f(x)\, dx = -\int_b^a f(x)\, dx


Zero-width interval:

aaf(x)dx=0\int_a^a f(x)\, dx = 0


Comparison: If f(x)g(x)f(x) \leq g(x) on [a,b][a, b], then

abf(x)dxabg(x)dx\int_a^b f(x)\, dx \leq \int_a^b g(x)\, dx


Linearity


Definite integrals respect addition and scalar multiplication.

Sum rule:

ab[f(x)+g(x)]dx=abf(x)dx+abg(x)dx\int_a^b [f(x) + g(x)]\, dx = \int_a^b f(x)\, dx + \int_a^b g(x)\, dx


Constant multiple rule:

abcf(x)dx=cabf(x)dx\int_a^b c \cdot f(x)\, dx = c \int_a^b f(x)\, dx


These rules allow complex integrands to be broken into simpler pieces, each integrated separately and then combined.

Computing Definite Integrals


Direct computation via Riemann sums is tedious. The Fundamental Theorem of Calculus provides the shortcut.

If FF is any antiderivative of ff—meaning F(x)=f(x)F'(x) = f(x)—then:

abf(x)dx=F(b)F(a)\int_a^b f(x)\, dx = F(b) - F(a)


This result, detailed on the rules page, transforms integration from a limiting process into a two-step procedure: find an antiderivative, then evaluate at the endpoints.

The notation F(x)abF(x) \Big|_a^b or [F(x)]ab[F(x)]_a^b denotes the evaluation F(b)F(a)F(b) - F(a).

Average Value of a Function


The average value of ff on the interval [a,b][a, b] is:

favg=1baabf(x)dxf_{\text{avg}} = \frac{1}{b - a} \int_a^b f(x)\, dx


This generalizes the familiar average of discrete values. The integral computes the total, and division by the interval length yields the mean.

Geometrically, favgf_{\text{avg}} is the height of a rectangle with base [a,b][a, b] whose area equals the area under the curve. The Mean Value Theorem for Integrals guarantees that a continuous function actually attains this average value at some point cc in (a,b)(a, b):

f(c)=favgf(c) = f_{\text{avg}}