Chapter 16: Problem 15
Use the Divergence Theorem to calculate the surface integral \(\iint_{S} \mathbf{F} \cdot d \mathbf{S} ;\) is, calculate the flux of \(\mathbf{F}\) across \(S .\) $$ \begin{array}{l}{\mathbf{F}(x, y, z)=e^{y} \tan z \mathbf{i}+y \sqrt{3-x^{2}} \mathbf{j}+x \sin y \mathbf{k}} \\ {S \text { is the surface of the solid that lies above the } x y \text { -plane }} \\ {\text { and below the surface } z=2-x^{4}-y^{4},-1 \leqslant x \leq 1} \\ {-1 \leqslant y \leqslant 1}\end{array} $$
Short Answer
Step by step solution
Recall the Divergence Theorem
Find the divergence of \( \mathbf{F} \)
Calculate the partial derivatives
Evaluate the divergence
Set up the volume integral
Evaluate the volume integral
Evaluate the double integral
Calculate the final result
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Key Concepts
These are the key concepts you need to understand to accurately answer the question.
Surface Integrals and Their Significance
- The formula for a surface integral of a vector field \( \mathbf{F} \) over a surface \( S \) is \( \iint_{S} \mathbf{F} \cdot d \mathbf{S} \).
- The "\( d \mathbf{S} \)" indicates an infinitesimal piece of the surface and is directed outward.
- When the divergence theorem applies, this surface integral equals a volume integral, changing the way we approach the problem.
Understanding Vector Fields
- Mathematically, a vector field \( \mathbf{F} \) would be represented as \( \mathbf{F}(x, y, z) = M \mathbf{i} + N \mathbf{j} + P \mathbf{k} \), where \( M, N, \) and \( P \) can be functions of \( x, y, \) and \( z \).
- The given vector field \( e^y \tan z \mathbf{i} + y \sqrt{3-x^2} \mathbf{j} + x \sin y \mathbf{k} \) in our problem remarks on how these components change through space.
- A crucial part of solving surface integrals is understanding how these vectors interact with the surfaces they permeate.
Demystifying Volume Integral
- The general form of a volume integral is \( \iiint_{V} f(x, y, z) \, dV \), where \( f(x, y, z) \) is a scalar field defined over volume \( V \).
- The transition from surface to volume integrals often involves the Divergence Theorem, which equates the flux across a closed surface to the volume integral of the divergence within. In shorthand, it equates \( \iint_{S} \mathbf{F} \cdot d \mathbf{S} = \iiint_{V} abla \cdot \mathbf{F} \, dV \).
- Here, calculating the volume integral with bounds as given \( z = 0 \) and \( z = 2 - x^4 - y^4 \), simplifies the problem solving.
Working with Partial Derivatives
- Given a multivariable function \( f(x, y, z) \), the partial derivative with respect to \( x \) is denoted as \( \frac{\partial f}{\partial x} \).
- The divergence of a vector field, \( abla \cdot \mathbf{F} \), is a single scalar value obtained by summing the partial derivatives of each component of the vector field: \( abla \cdot \mathbf{F} = \frac{\partial M}{\partial x} + \frac{\partial N}{\partial y} + \frac{\partial P}{\partial z} \).
- In the original exercise, partial derivatives of the given components were needed: for example, \( \frac{\partial}{\partial x}(e^y \tan z) = 0 \) because it lacks an \( x \)-term, simplifying the problem.