Surface integral

In mathematics, a surface integral is a definite integral taken over a surface (which may be a curved set in space); it can be thought of as the double integral analog of the line integral. Given a surface, one may integrate over it scalar fields (that is, functions which return numbers as values), and vector fields (that is, functions which return vectors as values).

Surface integrals have applications in physics, particularly with the classical theory of electromagnetism.

Surface integrals of scalar fields

Consider a surface S on which a scalar field f is defined. If we think of S as made of some material, and for each x in S the number f(x) is the density of material at x, then the surface integral of f over S is the mass per unit thickness of S. (This only holds as long as the surface is an infinitesimally thin shell.) One approach to calculate the surface integral is then to split the surface in many very small pieces, assume that on each piece the density is approximately constant, find the mass per unit thickness of each piece by multiplying the density of the piece by its area, and then sum up the resulting numbers to find the total mass per unit thickness of S.

To find an explicit formula for the surface integral, we need to parametrize S by considering on S a system of curvilinear coordinates, like the latitude and longitude on a sphere. Let such a parametrization be x(s, t), where (s, t) varies in some region T in the plane. Then, the surface integral is given by

int_S f ,dS = iint_T f(mathbf{x}(s, t)) left|{partial mathbf{x} over partial s}times {partial mathbf{x} over partial t}right| ds, dt where the expression between bars on the right-hand side is the magnitude of the cross product of the partial derivatives of x(s, t).

For example, if we want to find the surface area of some general functional shape, say z=f,(x,y), we have

A = int_S ,dS = iint_T left|{partial mathbf{r} over partial x}times {partial mathbf{r} over partial y}right| dx, dy where mathbf{r}=(x, y, z)=(x, y, f(x,y)). So, {partial mathbf{r} over partial x}=(1, 0, f_x(x,y)), and {partial mathbf{r} over partial y}=(0, 1, f_y(x,y)). So,
A &{} = iint_T left|left(1, 0, {partial f over partial x}right)times left(0, 1, {partial f over partial y}right)right| dx, dy &{} = iint_T left|left(-{partial f over partial x}, -{partial f over partial y}, 1right)right| dx, dy &{} = iint_T sqrt{left({partial f over partial x}right)^2+left({partial f over partial y}right)^2+1}, , dx, dy end{align} which is the familiar formula we get for the surface area of a general functional shape. One can recognize the vector in the second line above as the normal vector to the surface.

Note that because of the presence of the cross product, the above formulas only work for surfaces embedded in three dimensional space.

Surface integrals of vector fields

Consider a vector field v on S, that is, for each x in S, v(x) is a vector. Imagine that we have a fluid flowing through S, such that v(x) determines the velocity of the fluid at x. The flux is defined as the quantity of fluid flowing through S in unit amount of time.

This illustration implies that if the vector field is tangent to S at each point, then the flux is zero, because the fluid just flows in parallel to S, and neither in nor out. This also implies that if v does not just flow along S, that is, if v has both a tangential and a normal component, then only the normal component contributes to the flux. Based on this reasoning, to find the flux, we need to take the dot product of v with the unit surface normal to S at each point, which will give us a scalar field, and integrate the obtained field as above. We find the formula

int_S {mathbf v}cdot ,d{mathbf {S}} = int_S ({mathbf v}cdot {mathbf n}),dS=iint_T {mathbf v}(mathbf{x}(s, t))cdot left({partial mathbf{x} over partial s}times {partial mathbf{x} over partial t}right) ds, dt.

The cross product on the right-hand side of this expression is a surface normal determined by the parametrization.

This formula is defined to be the integral of the vector field v on S.

Surface integrals of differential 2-forms


f=f_{1} dx wedge dy + f_{2} dy wedge dz + f_{3} dz wedge dx
be a differential 2-form defined on the surface S, and let

mathbf{x} (s,t)=(x(s,t), y(s,t), z(s,t))!

be an orientation preserving parametrization of S with (s,t) in D. Then, the surface integral of f on S is given by

iint_D left[f_{1} (mathbf{x} (s,t)) frac{partial(x,y)}{partial(s,t)} + f_{2} (mathbf{x} (s,t))frac{partial(y,z)}{partial(s,t)} + f_{3} (mathbf{x} (s,t))frac{partial(z,x)}{partial(s,t)} right], ds dt


{partial mathbf{x} over partial s}times {partial mathbf{x} over partial t}=left(frac{partial(y,z)}{partial(s,t)}, frac{partial(z,x)}{partial(s,t)}, frac{partial(x,y)}{partial(s,t))}right)
is the surface normal to S.

Let us note that the surface integral of this 2-form is the same as the surface integral of the vector field which has as components f_1, f_2 and f_3.

Theorems involving surface integrals

Various useful results for surface integrals can be derived using differential geometry and vector calculus, such as the divergence theorem, and its generalization, Stokes' theorem.

Advanced issues

Let us notice that we defined the surface integral by using a parametrization of the surface S. We know that a given surface might have several parametrizations. For example, if we move the locations of the North Pole and South Pole on a sphere, the latitude and longitude change for all the points on the sphere. A natural question is then whether the definition of the surface integral depends on the chosen parametrization. For integrals of scalar fields, the answer to this question is simple, the value of the surface integral will be the same no matter what parametrization one uses.

For integrals of vector fields things are more complicated, because the surface normal is involved. It can be proved that given two parametrizations of the same surface, whose surface normals point in the same direction, one obtains the same value for the surface integral with both parametrizations. If, however, the normals for these parametrizations point in opposite directions, the value of the surface integral obtained using one parametrization is the negative of the one obtained via the other parametrization. It follows that given a surface, we do not need to stick to any unique parametrization; but, when integrating vector fields, we do need to decide in advance which direction the normal will point to and then choose any parametrization consistent with that direction.

Another issue is that sometimes surfaces do not have parametrizations which cover the whole surface; this is true for example for the surface of a cylinder (of finite height). The obvious solution is then to split that surface in several pieces, calculate the surface integral on each piece, and then add them all up. This is indeed how things work, but when integrating vector fields one needs to again be careful how to choose the normal-pointing vector for each piece of the surface, so that when the pieces are put back together, the results are consistent. For the cylinder, this means that if we decide that for the side region the normal will point out of the body, then for the top and bottom circular parts the normal must point out of the body too.

Lastly, there are surfaces which do not admit a surface normal at each point with consistent results (for example, the Möbius strip). If such a surface is split into pieces, on each piece a parametrization and corresponding surface normal is chosen, and the pieces are put back together, we will find that the normal vectors coming from different pieces cannot be reconciled. This means that at some junction between two pieces we will have normal vectors pointing in opposite directions. Such a surface is called non-orientable, and on this kind of surface one cannot talk about integrating vector fields.

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