Let \(V\) be the volume bounded by a surface \(\overline{r} = \overline{f}(u,v)\). Let \(\overline{F}(\overline{r})\) be a vector point function defined over \(V\). Then the volume integral of \(\overline{F}(\overline{r})\) in the region \(V\) is denoted by:
\[ \int\limits_{V} \overline{F}(\overline{r}) \, dv \quad \text{or} \quad \int\limits_{V} \overline{F} \, dv \]Cartesian Form
Let \(\bar{F} = F_1\hat{i} + F_2\hat{j} + F_3\hat{k}\) where \(F_1, F_2,\) and \(F_3\) are continuous and differentiable functions of \(x, y, z\). We know that the volume element \(dv = dx\,dy\,dz\).
\[ \int\limits_{V} \bar{F} \, dv = \iiint\limits_{V} \left( F_1\hat{i} + F_2\hat{j} + F_3\hat{k} \right) dx\,dy\,dz \] \[ = \hat{i} \iiint\limits_{V} F_1 \, dx\,dy\,dz + \hat{j} \iiint\limits_{V} F_2 \, dx\,dy\,dz + \hat{k} \iiint\limits_{V} F_3 \, dx\,dy\,dz \]Important Notes:
- The volume integral of a vector field results in a vector quantity
- Each component is integrated separately over the volume
- The integration limits depend on the volume's boundaries
- Common coordinate systems used:
- Cartesian (\(dx\,dy\,dz\))
- Cylindrical (\(\rho\,d\rho\,d\phi\,dz\))
- Spherical (\(r^2\sin\theta\,dr\,d\theta\,d\phi\))
Physical Interpretation
The volume integral of a vector field represents:
- Total flux generation within the volume (for divergence-related applications)
- Net vector quantity distributed throughout the volume
- Important in theorems like Gauss's Divergence Theorem which relates volume integrals to surface integrals
Example 1: If \(\bar{F} = (2x^2 - 3z)\hat{i} - 2xy\hat{j} - 4x\hat{k}\), evaluate \(\iiint\limits_{V} \nabla \cdot \bar{F} \, dv\) where \(V\) is the closed region bounded by the planes \(x = 0\), \(y = 0\), \(z = 0\), and \(2x + 2y + z = 4\).
Solution: \[ \nabla \cdot \bar{F} = \frac{\partial}{\partial x}(2x^2 - 3z) + \frac{\partial}{\partial y}(-2xy) + \frac{\partial}{\partial z}(-4x) \] \[ = 4x - 2x + 0 = 2x \]The bounding planes define the region:
- \(x\) varies from 0 to 2 (when \(y = z = 0\) in \(2x + 2y + z = 4\))
- For each \(x\), \(y\) varies from 0 to \(2 - x\)
- For each \((x,y)\), \(z\) varies from 0 to \(4 - 2x - 2y\)
Verification Using Gauss's Divergence Theorem
This result could also be obtained by computing the flux of \(\bar{F}\) through the closed surface bounding \(V\), as per Gauss's Divergence Theorem:
The equality of both calculations (\(\frac{8}{3}\)) verifies our solution.
Example 2: If \(\bar{F} = (2x^2 - 3z)\hat{i} - 2xy\hat{j} - 4x\hat{k}\), evaluate \(\iiint\limits_{V} \nabla \times \bar{F} \, dv\) where \(V\) is the closed region bounded by the planes \(x = 0\), \(y = 0\), \(z = 0\), and \(2x + 2y + z = 4\).
Solution: \[ \nabla \times \bar{F} = \begin{vmatrix} \hat{i} & \hat{j} & \hat{k} \\ \frac{\partial}{\partial x} & \frac{\partial}{\partial y} & \frac{\partial}{\partial z} \\ 2x^2-3z & -2xy & -4x \end{vmatrix} \] \[ = \hat{i}(0 - 0) - \hat{j}(-4 - (-3)) + \hat{k}(-2y - 0) \] \[ = \hat{j} - 2y\hat{k} \]The region is a tetrahedron with limits:
\[ x \in [0,2], \quad y \in [0,2-x], \quad z \in [0,4-2x-2y] \]For \(\hat{j}\) component:
\[ \iiint\limits_{V} 1 \, dv = \text{Volume} = \frac{1}{6} \times 2 \times 2 \times 4 = \frac{8}{3} \]For \(\hat{k}\) component:
\[ -2 \iiint\limits_{V} y \, dv = -2 \int_{0}^{2} \int_{0}^{2-x} \int_{0}^{4-2x-2y} y \, dz \, dy \, dx = \frac{8}{3} \] \[ \iiint\limits_{V} \nabla \times \bar{F} \, dv = \boxed{\dfrac{8}{3}(\hat{j} - \hat{k})} \]Example 3: If \(\bar{F} = 2xz\hat{i} - x\hat{j} + y^2\hat{k}\), evaluate \(\iiint\limits_{V} \bar{F} \, dv\) where \(V\) is the region bounded by \(x = 0\), \(x = 2\), \(y = 0\), \(y = 6\), \(z = x^2\), \(z = 4\).
Solution:The integration limits are:
\[ x \in [0,2], \quad y \in [0,6], \quad z \in [x^2,4] \]For \(\hat{i}\) component:
\[ \int_{0}^{2} \int_{0}^{6} \int_{x^2}^{4} 2xz \, dz \, dy \, dx = 128 \]For \(\hat{j}\) component:
\[ -\int_{0}^{2} \int_{0}^{6} \int_{x^2}^{4} x \, dz \, dy \, dx = -24 \]For \(\hat{k}\) component:
\[ \int_{0}^{2} \int_{0}^{6} \int_{x^2}^{4} y^2 \, dz \, dy \, dx = 384 \] \[ \iiint\limits_{V} \bar{F} \, dv = \boxed{128\hat{i} - 24\hat{j} + 384\hat{k}} \]