Problem 65
Question
Let \(\nabla(x, y, z)=V_{1} i+V_{2} j+V_{3} k\) be defined and differentiable at each point \((x, y, z)\) in a certain region of space. Then, the divergence of \(V\), written \(\nabla \cdot V\) or div \(V\) is defined by $$ \begin{aligned} \nabla \cdot V &=\left(\frac{\partial}{\partial x} i+\frac{\partial}{\partial y} j+\frac{\partial}{\partial z} k\right) \cdot\left(V_{1} i+V_{2} j+V_{3} k\right) \\ &=\frac{\partial V_{1}}{\partial x}+\frac{\partial V_{2}}{\partial y}+\frac{\partial V_{3}}{\partial z} \end{aligned} $$ Here, \(\nabla=\frac{\partial}{\partial x} i+\frac{\partial}{\partial y} j+\frac{\partial}{\partial z} k\) is the del operator. Note the analogy with \(A \cdot B=A_{1} B_{1}+A_{2} B_{2}+A_{3} B_{3} .\) Also, note that \(\vec{\nabla} \cdot V \neq V \cdot \nabla\). If \(\phi=2 x^{3} y^{2} z^{4}\), then \(\nabla . \nabla \phi=k\left(3 x y^{2} z^{4}+x^{3} z^{4}+6 x^{3} y^{2} z^{2}\right)\), where \(k=\) (A) 2 (B) 3 (C) 4 (D) 6
Step-by-Step Solution
VerifiedKey Concepts
Divergence
\[ abla \cdot V = \frac{\partial V_1}{\partial x} + \frac{\partial V_2}{\partial y} + \frac{\partial V_3}{\partial z} \]
The divergence is calculated by summing the partial derivatives of each component of a vector field \( V \), which is composed of component vectors \( V_1, V_2, \) and \( V_3 \) along the \( x, y, \text{and } z \) directions, respectively.
This operation helps in understanding how energy, mass, or other quantities impose changes within a field. Noting that the operation involves distinguishing how a field behaves outwardly or inwardly, divergence plays a fundamental role in fields such as fluid dynamics and electromagnetic theory.
- Important in assessing expansion or contraction rates within a field.
- Integral to the understanding of conservation laws.
Gradient
To compute the gradient of a function \( \phi = 2x^3 y^2 z^4 \), one must determine the partial derivatives with respect to \( x, y, \text{and } z \). This results in:
- \( \frac{\partial \phi}{\partial x} = 6x^2 y^2 z^4 \)
- \( \frac{\partial \phi}{\partial y} = 4x^3 y z^4 \)
- \( \frac{\partial \phi}{\partial z} = 8x^3 y^2 z^3 \)
Essentially, the gradient not only reveals the steepest ascent direction but also bodes accuracy in optimization and analytical calculus processes. It aides significantly when discussing potential and scalar fields.
Del Operator
Mathematically, in three-dimensional Cartesian coordinates, it is expressed as:
\[ abla = \frac{\partial}{\partial x} \mathbf{i} + \frac{\partial}{\partial y} \mathbf{j} + \frac{\partial}{\partial z} \mathbf{k} \]
Using the del operator allows simplification of notations and calculations within vector calculus. Employing this operator can help efficiently find:
- The gradient of a scalar function \( \phi \), \( abla \phi \).
- The divergence of a vector field \( V \), \( abla \cdot V \).
- The curl of a vector field, \( abla \times V \) , which measures the rotation of the field.