Question

How to parameterize the faces of a cube for a surface integral

Original question: how to find parametrisation for the cube (b) $\mathrm{F}(x,y,z)=\mathrm{j}+x^2 z\mathrm{k}$. The solid $\mathcal{V}$ is defined by the box: $0\le x\le 1$, $0\le y\le 1$, $0\le z\le 1$.

Expert Verified Solution

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Key takeaway: When a problem gives a box like 0x10\le x\le 1, 0y10\le y\le 1, 0z10\le z\le 1, the safest move is to treat the boundary as six separate square faces. Each face gets its own two-parameter map, and the outward normal comes from the orientation of that face.

For the cube 0x1,0y1,0z1,0\le x\le 1,\quad 0\le y\le 1,\quad 0\le z\le 1, its boundary is made of six faces. A clean parametrization is to write each face as a surface with two free variables.

1) The six face parametrizations

  • Bottom face z=0z=0: r(x,y)=(x,y,0),0x1, 0y1.\mathbf r(x,y)=(x,y,0),\quad 0\le x\le 1,\ 0\le y\le 1.
  • Top face z=1z=1: r(x,y)=(x,y,1),0x1, 0y1.\mathbf r(x,y)=(x,y,1),\quad 0\le x\le 1,\ 0\le y\le 1.
  • Front face y=0y=0: r(x,z)=(x,0,z),0x1, 0z1.\mathbf r(x,z)=(x,0,z),\quad 0\le x\le 1,\ 0\le z\le 1.
  • Back face y=1y=1: r(x,z)=(x,1,z),0x1, 0z1.\mathbf r(x,z)=(x,1,z),\quad 0\le x\le 1,\ 0\le z\le 1.
  • Left face x=0x=0: r(y,z)=(0,y,z),0y1, 0z1.\mathbf r(y,z)=(0,y,z),\quad 0\le y\le 1,\ 0\le z\le 1.
  • Right face x=1x=1: r(y,z)=(1,y,z),0y1, 0z1.\mathbf r(y,z)=(1,y,z),\quad 0\le y\le 1,\ 0\le z\le 1.

2) For the vector field

F(x,y,z)=j+x2zk,\mathbf F(x,y,z)=\mathbf j+x^2 z\,\mathbf k, we read this as F(x,y,z)=(0,1,x2z).\mathbf F(x,y,z)=(0,1,x^2z).

If the task is a flux integral over the cube, then on each face you compute SFndS\iint_S \mathbf F\cdot \mathbf n\,dS using the outward unit normal for that face.

3) A quick shortcut

Because the field has only a j\mathbf j-component and a k\mathbf k-component:

  • faces with normals in the ±i\pm \mathbf i direction often give zero flux from the j\mathbf j term,
  • faces with normals in the ±j\pm \mathbf j or ±k\pm \mathbf k direction need direct checking.

If your course allows it, the Divergence Theorem is usually much faster for the whole closed cube.

For this field, F=x(0)+y(1)+z(x2z)=x2.\nabla\cdot \mathbf F=\frac{\partial}{\partial x}(0)+\frac{\partial}{\partial y}(1)+\frac{\partial}{\partial z}(x^2z)=x^2. Then the outward flux through the closed cube is Vx2dV=010101x2dzdydx=01x2dx=13.\iiint_V x^2\,dV=\int_0^1\int_0^1\int_0^1 x^2\,dz\,dy\,dx=\int_0^1 x^2\,dx=\frac13.

So if you only needed the parametrization, list the six faces. If you needed the total flux, the divergence theorem gives the answer quickly.


Pitfalls the pros know 👇 A common mistake is to parametrize the whole cube with one map. That does not work for a closed surface like this; you need one parametrization per face. Another easy slip is mixing up orientation: the outward normal on x=0x=0 points in the negative xx-direction, while on x=1x=1 it points in the positive xx-direction.

What if the problem changes? If the problem asks for just one face, keep the other two coordinates fixed and let the remaining two vary in [0,1][0,1]. If the box were axba\le x\le b, cydc\le y\le d, ezfe\le z\le f, the same pattern works with intervals adjusted accordingly. For a non-cubic rectangular solid, nothing conceptual changes; only the bounds do.

Tags: surface parametrization, outward normal, divergence theorem

FAQ

How do you parameterize a cube for a surface integral?

Treat the cube as six square faces. Fix one coordinate on each face and let the other two vary over the interval [0,1]. Then use the correct outward normal for each face.

Can the divergence theorem be used for the flux through the whole cube?

Yes. For a closed cube, the divergence theorem often gives the total flux faster than adding the six face integrals one by one.

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