# Multiple integral

In mathematics (specifically multivariable calculus), a **multiple integral** is a definite integral of a function of several real variables, for instance, *f*(*x*, *y*) or *f*(*x*, *y*, *z*). Integrals of a function of two variables over a region in (the real-number plane) are called **double integrals**, and integrals of a function of three variables over a region in (real-number 3D space) are called **triple integrals**.[1] For multiple integrals of a single-variable function, see the Cauchy formula for repeated integration.

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## Introduction

Just as the definite integral of a positive function of one variable represents the area of the region between the graph of the function and the x-axis, the **double integral** of a positive function of two variables represents the volume of the region between the surface defined by the function (on the three-dimensional Cartesian plane where *z* = *f*(*x*, *y*)) and the plane which contains its domain.[1] If there are more variables, a multiple integral will yield hypervolumes of multidimensional functions.

Multiple integration of a function in n variables: *f*(*x*_{1}, *x*_{2}, ..., *x*_{n}) over a domain D is most commonly represented by nested integral signs in the reverse order of execution (the leftmost integral sign is computed last), followed by the function and integrand arguments in proper order (the integral with respect to the rightmost argument is computed last). The domain of integration is either represented symbolically for every argument over each integral sign, or is abbreviated by a variable at the rightmost integral sign:[2]

Since the concept of an antiderivative is only defined for functions of a single real variable, the usual definition of the indefinite integral does not immediately extend to the multiple integral.

## Mathematical definition

For *n* > 1, consider a so-called "half-open" n-dimensional hyperrectangular domain T, defined as:

Partition each interval [*a*_{j}, *b*_{j}) into a finite family I_{j} of non-overlapping subintervals i_{jα}, with each subinterval closed at the left end, and open at the right end.

Then the finite family of subrectangles C given by

is a partition of T; that is, the subrectangles C_{k} are non-overlapping and their union is T.

Let *f* : *T* → **R** be a function defined on T. Consider a partition C of T as defined above, such that C is a family of m subrectangles C_{m} and

We can approximate the total (*n* + 1)th-dimensional volume bounded below by the n-dimensional hyperrectangle T and above by the n-dimensional graph of f with the following Riemann sum:

where P_{k} is a point in C_{k} and m(*C*_{k}) is the product of the lengths of the intervals whose Cartesian product is C_{k}, also known as the measure of C_{k}.

The **diameter** of a subrectangle C_{k} is the largest of the lengths of the intervals whose Cartesian product is C_{k}. The diameter of a given partition of T is defined as the largest of the diameters of the subrectangles in the partition. Intuitively, as the diameter of the partition C is restricted smaller and smaller, the number of subrectangles m gets larger, and the measure m(*C*_{k}) of each subrectangle grows smaller. The function f is said to be **Riemann integrable** if the limit

exists, where the limit is taken over all possible partitions of T of diameter at most δ.[3]

If f is Riemann integrable, S is called the **Riemann integral** of f over T and is denoted

Frequently this notation is abbreviated as

where **x** represents the n-tuple (*x*_{1}, …, *x _{n}*) and

*d*

^{n}

**x**is the n-dimensional volume differential.

The Riemann integral of a function defined over an arbitrary bounded n-dimensional set can be defined by extending that function to a function defined over a half-open rectangle whose values are zero outside the domain of the original function. Then the integral of the original function over the original domain is defined to be the integral of the extended function over its rectangular domain, if it exists.

In what follows the Riemann integral in n dimensions will be called the **multiple integral**.

#### Properties

Multiple integrals have many properties common to those of integrals of functions of one variable (linearity, commutativity, monotonicity, and so on). One important property of multiple integrals is that the value of an integral is independent of the order of integrands under certain conditions. This property is popularly known as Fubini's theorem.[4]

#### Particular cases

In the case of , the integral

is the **double integral** of f on T, and if the integral

is the **triple integral** of f on T.

Notice that, by convention, the double integral has two integral signs, and the triple integral has three; this is a notational convention which is convenient when computing a multiple integral as an iterated integral, as shown later in this article.

## Methods of integration

The resolution of problems with multiple integrals consists, in most cases, of finding a way to reduce the multiple integral to an iterated integral, a series of integrals of one variable, each being directly solvable. For continuous functions, this is justified by Fubini's theorem. Sometimes, it is possible to obtain the result of the integration by direct examination without any calculations.

The following are some simple methods of integration:[1]

#### Integrating constant functions

When the integrand is a constant function c, the integral is equal to the product of c and the measure of the domain of integration. If *c* = 1 and the domain is a subregion of **R**^{2}, the integral gives the area of the region, while if the domain is a subregion of **R**^{3}, the integral gives the volume of the region.

Example.Letf(x,y) = 2 and

in which case

since by definition we have:

#### Use of symmetry

When the domain of integration is symmetric about the origin with respect to at least one of the variables of integration and the integrand is odd with respect to this variable, the integral is equal to zero, as the integrals over the two halves of the domain have the same absolute value but opposite signs. When the integrand is even with respect to this variable, the integral is equal to twice the integral over one half of the domain, as the integrals over the two halves of the domain are equal.

Example 1.Consider the functionf(x,y) = 2 sin(x) − 3y^{3}+ 5 integrated over the domain

a disc with radius 1 centered at the origin with the boundary included.

Using the linearity property, the integral can be decomposed into three pieces:

The function 2 sin(

x) is an odd function in the variable x and the disc T is symmetric with respect to the y-axis, so the value of the first integral is 0. Similarly, the function 3y^{3}is an odd function of y, and T is symmetric with respect to the x-axis, and so the only contribution to the final result is that of the third integral. Therefore the original integral is equal to the area of the disk times 5, or 5π.

Example 2.Consider the functionf(x,y,z) =xexp(y^{2}+z^{2}) and as integration region the ball with radius 2 centered at the origin,

The "ball" is symmetric about all three axes, but it is sufficient to integrate with respect to x-axis to show that the integral is 0, because the function is an odd function of that variable.

#### Normal domains on **R**^{2}

This method is applicable to any domain D for which:

- the projection of D onto either the x-axis or the y-axis is bounded by the two values, a and b
- any line perpendicular to this axis that passes between these two values intersects the domain in an interval whose endpoints are given by the graphs of two functions, α and β.

Such a domain will be here called a *normal domain*. Elsewhere in the literature, normal domains are sometimes called type I or type II domains, depending on which axis the domain is fibred over. In all cases, the function to be integrated must be Riemann integrable on the domain, which is true (for instance) if the function is continuous.

##### x-axis

If the domain D is normal with respect to the x-axis, and *f* : *D* → **R** is a continuous function; then *α*(*x*) and *β*(*x*) (both of which are defined on the interval [*a*, *b*]) are the two functions that determine D. Then, by Fubini's theorem:[5]

##### y-axis

If D is normal with respect to the y-axis and *f* : *D* → **R** is a continuous function; then *α*(*y*) and *β*(*y*) (both of which are defined on the interval [*a*, *b*]) are the two functions that determine D. Again, by Fubini's theorem:

##### Normal domains on **R**^{3}

If T is a domain that is normal with respect to the xy-plane and determined by the functions *α*(*x*, *y*) and *β*(*x*, *y*), then

This definition is the same for the other five normality cases on **R**^{3}. It can be generalized in a straightforward way to domains in **R**^{n}.

#### Change of variables

The limits of integration are often not easily interchangeable (without normality or with complex formulae to integrate). One makes a change of variables to rewrite the integral in a more "comfortable" region, which can be described in simpler formulae. To do so, the function must be adapted to the new coordinates.

Example 1a.The function isf(x,y) = (x− 1)^{2}+ √y; if one adopts the substitutionu=x− 1,v=ythereforex=u+ 1,y=vone obtains the new functionf_{2}(u,v) = (u)^{2}+ √v.

- Similarly for the domain because it is delimited by the original variables that were transformed before (x and y in example).
- the differentials dx and dy transform via the absolute value of the determinant of the Jacobian matrix containing the partial derivatives of the transformations regarding the new variable (consider, as an example, the differential transformation in polar coordinates).

There exist three main "kinds" of changes of variable (one in **R**^{2}, two in **R**^{3}); however, more general substitutions can be made using the same principle.

##### Polar coordinates

In **R**^{2} if the domain has a circular symmetry and the function has some particular characteristics one can apply the *transformation to polar coordinates* (see the example in the picture) which means that the generic points *P*(*x*, *y*) in Cartesian coordinates switch to their respective points in polar coordinates. That allows one to change the shape of the domain and simplify the operations.

The fundamental relation to make the transformation is the following:

Example 2a.The function isf(x,y) =x+yand applying the transformation one obtains

Example 2b.The function isf(x,y) =x^{2}+y^{2}, in this case one has:

using the Pythagorean trigonometric identity (very useful to simplify this operation).

The transformation of the domain is made by defining the radius' crown length and the amplitude of the described angle to define the *ρ*, *φ* intervals starting from *x*, *y*.

Example 2c.The domain isD= {x^{2}+y^{2}≤ 4}, that is a circumference of radius 2; it's evident that the covered angle is the circle angle, so φ varies from 0 to 2π, while the crown radius varies from 0 to 2 (the crown with the inside radius null is just a circle).

Example 2d.The domain isD= {x^{2}+y^{2}≤ 9,x^{2}+y^{2}≥ 4,y≥ 0}, that is the circular crown in the positive y half-plane (please see the picture in the example); φ describes a plane angle while ρ varies from 2 to 3. Therefore the transformed domain will be the following rectangle:

The Jacobian determinant of that transformation is the following:

which has been obtained by inserting the partial derivatives of

x=ρcos(φ),y=ρsin(φ) in the first column respect to ρ and in the second respect to φ, so the dx dy differentials in this transformation become ρ dρ dφ.Once the function is transformed and the domain evaluated, it is possible to define the formula for the change of variables in polar coordinates:

φ is valid in the [0, 2π] interval while ρ, which is a measure of a length, can only have positive values.

Example 2e.The function isf(x,y) =xand the domain is the same as in Example 2d. From the previous analysis of D we know the intervals of ρ (from 2 to 3) and of φ (from 0 to π). Now we change the function:

finally let's apply the integration formula:

Once the intervals are known, you have

##### Cylindrical coordinates

In **R**^{3} the integration on domains with a circular base can be made by the *passage to cylindrical coordinates*; the transformation of the function is made by the following relation:

The domain transformation can be graphically attained, because only the shape of the base varies, while the height follows the shape of the starting region.

Example 3a.The region isD= {x^{2}+y^{2}≤ 9,x^{2}+y^{2}≥ 4, 0 ≤z≤ 5} (that is the "tube" whose base is the circular crown of Example 2d and whose height is 5); if the transformation is applied, this region is obtained:

(that is, the parallelepiped whose base is similar to the rectangle in Example 2d and whose height is 5).

Because the z component is unvaried during the transformation, the dx dy dz differentials vary as in the passage to polar coordinates: therefore, they become ρ dρ dφ dz.

Finally, it is possible to apply the final formula to cylindrical coordinates:

This method is convenient in case of cylindrical or conical domains or in regions where it is easy to individuate the

zinterval and even transform the circular base and the function.

Example 3b.The function isf(x,y,z) =x^{2}+y^{2}+zand as integration domain this cylinder:D= {x^{2}+y^{2}≤ 9, −5 ≤z≤ 5}. The transformation of D in cylindrical coordinates is the following:

while the function becomes

Finally one can apply the integration formula:

developing the formula you have

##### Spherical coordinates

In **R**^{3} some domains have a spherical symmetry, so it's possible to specify the coordinates of every point of the integration region by two angles and one distance. It's possible to use therefore the *passage to spherical coordinates*; the function is transformed by this relation:

Points on the z-axis do not have a precise characterization in spherical coordinates, so θ can vary between 0 and 2π.

The better integration domain for this passage is the sphere.

Example 4a.The domain isD=x^{2}+y^{2}+z^{2}≤ 16 (sphere with radius 4 and center at the origin); applying the transformation you get the region

The Jacobian determinant of this transformation is the following:

The dx dy dz differentials therefore are transformed to

ρ^{2}sin(φ)dρdθdφ.This yields the final integration formula:

It is better to use this method in case of spherical domains **and** in case of functions that can be easily simplified by the first fundamental relation of trigonometry extended to **R**^{3} (see Example 4b); in other cases it can be better to use cylindrical coordinates (see Example 4c).

The extra *ρ*^{2} and sin *φ* come from the Jacobian.

In the following examples the roles of φ and θ have been reversed.

Example 4b.D is the same region as in Example 4a andf(x,y,z) =x^{2}+y^{2}+z^{2}is the function to integrate. Its transformation is very easy:

while we know the intervals of the transformed region T from D:

We therefore apply the integration formula:

and, developing, we get

Example 4c.The domain D is the ball with center at the origin and radius 3a,

and

f(x,y,z) =x^{2}+y^{2}is the function to integrate.Looking at the domain, it seems convenient to adopt the passage to spherical coordinates, in fact, the intervals of the variables that delimit the new T region are obviously:

However, applying the transformation, we get

Applying the formula for integration we obtain:

which can be solved by turning it into an iterated integral.

.,

,

.

Collecting all parts,.

Alternatively, this problem can be solved by using the passage to cylindrical coordinates. The new T intervals are

the z interval has been obtained by dividing the ball into two hemispheres simply by solving the inequality from the formula of D (and then directly transforming

x^{2}+y^{2}intoρ^{2}). The new function is simplyρ^{2}. Applying the integration formula

Then we get

Thanks to the passage to cylindrical coordinates it was possible to reduce the triple integral to an easier one-variable integral.

See also the differential volume entry in nabla in cylindrical and spherical coordinates.

## Examples

#### Double integral over a rectangle

Let us assume that we wish to integrate a multivariable function f over a region A:

From this we formulate the iterated integral

The inner integral is performed first, integrating with respect to x and taking y as a constant, as it is not the variable of integration. The result of this integral, which is a function depending only on y, is then integrated with respect to y.

We then integrate the result with respect to y.

In cases where the double integral of the absolute value of the function is finite, the order of integration is interchangeable, that is, integrating with respect to *x* first and integrating with respect to *y* first produce the same result. That is Fubini's theorem. For example, doing the previous calculation with order reversed gives the same result:

#### Double integral over a normal domain

Consider the region (please see the graphic in the example):

Calculate

This domain is normal with respect to both the *x*- and *y*-axes. To apply the formulae it is required to find the functions that determine *D* and the intervals over which these functions are defined. In this case the two functions are:

while the interval is given by the intersections of the functions with *x* = 0, so the interval is [*a*, *b*] = [0, 1] (normality has been chosen with respect to the *x*-axis for a better visual understanding).

It is now possible to apply the formula:

(at first the second integral is calculated considering *x* as a constant). The remaining operations consist of applying the basic techniques of integration:

If we choose normality with respect to the *y*-axis we could calculate

and obtain the same value.

#### Calculating volume

Using the methods previously described, it is possible to calculate the volumes of some common solids.

**Cylinder**: The volume of a cylinder with height h and circular base of radius R can be calculated by integrating the constant function h over the circular base, using polar coordinates.

This is in agreement with the formula for the volume of a prism

**Sphere**: The volume of a sphere with radius R can be calculated by integrating the constant function 1 over the sphere, using spherical coordinates.

**Tetrahedron**(triangular pyramid or 3-simplex): The volume of a tetrahedron with its apex at the origin and edges of length*ℓ*along the x-, y- and z-axes can be calculated by integrating the constant function 1 over the tetrahedron.

- This is in agreement with the formula for the volume of a pyramid

## Multiple improper integral

In case of unbounded domains or functions not bounded near the boundary of the domain, we have to introduce the **double improper integral** or the **triple improper integral**.

## Multiple integrals and iterated integrals

Fubini's theorem states that if[4]

that is, if the integral is absolutely convergent, then the multiple integral will give the same result as either of the two iterated integrals:

In particular this will occur if |*f*(*x*, *y*)| is a bounded function and A and B are bounded sets.

If the integral is not absolutely convergent, care is needed not to confuse the concepts of *multiple integral* and *iterated integral*, especially since the same notation is often used for either concept. The notation

means, in some cases, an iterated integral rather than a true double integral. In an iterated integral, the outer integral

is the integral with respect to x of the following function of x:

A double integral, on the other hand, is defined with respect to area in the xy-plane. If the double integral exists, then it is equal to each of the two iterated integrals (either "dy dx" or "dx dy") and one often computes it by computing either of the iterated integrals. But sometimes the two iterated integrals exist when the double integral does not, and in some such cases the two iterated integrals are different numbers, i.e., one has

This is an instance of rearrangement of a conditionally convergent integral.

On the other hand, some conditions ensure that the two iterated integrals are equal even though the double integral need not exist. By the Fichtenholz–Lichtenstein theorem, if f is bounded on [0, 1] × [0, 1] and both iterated integrals exist, then they are equal. Moreover, existence of the inner integrals ensures existence of the outer integrals.[6][7][8] The double integral need not exist in this case even as Lebesgue integral, according to Sierpiński.[9]

The notation

may be used if one wishes to be emphatic about intending a double integral rather than an iterated integral.

## Some practical applications

Quite generally, just as in one variable, one can use the multiple integral to find the average of a function over a given set. Given a set *D* ⊆ **R**^{n} and an integrable function f over D, the average value of f over its domain is given by

where *m*(*D*) is the measure of D.

Additionally, multiple integrals are used in many applications in physics. The examples below also show some variations in the notation.

In mechanics, the moment of inertia is calculated as the volume integral (triple integral) of the density weighed with the square of the distance from the axis:

The gravitational potential associated with a mass distribution given by a mass measure dm on three-dimensional Euclidean space **R**^{3} is[10]

If there is a continuous function *ρ*(**x**) representing the density of the distribution at **x**, so that *dm*(**x**) = *ρ*(**x**)*d*^{3}**x**, where *d*^{3}**x** is the Euclidean volume element, then the gravitational potential is

In electromagnetism, Maxwell's equations can be written using multiple integrals to calculate the total magnetic and electric fields.[11] In the following example, the electric field produced by a distribution of charges given by the volume charge density *ρ*( *r*→ ) is obtained by a *triple integral* of a vector function:

This can also be written as an integral with respect to a signed measure representing the charge distribution.

## See also

- Main analysis theorems that relate multiple integrals:

## References

- Stewart, James (2008).
*Calculus: Early Transcendentals*(6th ed.). Brooks Cole Cengage Learning. ISBN 978-0-495-01166-8. - Larson; Edwards (2014).
*Multivariable Calculus*(10th ed.). Cengage Learning. ISBN 978-1-285-08575-3. - Rudin, Walter.
*Principles of Mathematical Analysis*. Walter Rudin Student Series in Advanced Mathematics (3rd ed.). McGraw–Hill. ISBN 978-0-07-054235-8. - Jones, Frank (2001).
*Lebesgue Integration on Euclidean Space*. Jones and Bartlett. pp. 527–529.^{[ISBN missing]} - Stewart, James (2015-05-07).
*Calculus, 8th Edition*. Cengage Learning. ISBN 978-1285740621. - Lewin, Jonathan (2003).
*An Interactive Introduction to Mathematical Analysis*. Cambridge. Sect. 16.6. ISBN 978-1107694040. - Lewin, Jonathan (1987). "Some applications of the bounded convergence theorem for an introductory course in analysis".
*The American Mathematical Monthly*. AMS.**94**(10): 988–993. doi:10.2307/2322609. JSTOR 2322609. - Sinclair, George Edward (1974). "A finitely additive generalization of the Fichtenholz–Lichtenstein theorem".
*Transactions of the American Mathematical Society*. AMS.**193**: 359–374. doi:10.2307/1996919. JSTOR 1996919. - Bogachev, Vladimir I. (2006).
*Measure Theory*.**1**. Springer. Item 3.10.49.^{[ISBN missing]} - Kibble, Tom W. B.; Berkshire, Frank H. (2004).
*Classical Mechanics*(5th ed.). Imperial College Press. ISBN 978-1-86094-424-6. - Jackson, John D. (1998).
*Classical Electrodynamics*(3rd ed.). Wiley. ISBN 0-471-30932-X.

## Further reading

- Adams, Robert A. (2003).
*Calculus: A Complete Course*(5th ed.). ISBN 0-201-79131-5. - Jain, R. K.; Iyengar, S. R. K. (2009).
*Advanced Engineering Mathematics*(3rd ed.). Narosa Publishing House. ISBN 978-81-7319-730-7. - Herman, Edwin “Jed” & Strang, Gilbert (2016):
*Calculus : Volume 3*: OpenStax, Rice University, Houston, Texas, USA. ISBN 978-1-50669-805-2. (PDF)