/*! This file is auto-generated */ .wp-block-button__link{color:#fff;background-color:#32373c;border-radius:9999px;box-shadow:none;text-decoration:none;padding:calc(.667em + 2px) calc(1.333em + 2px);font-size:1.125em}.wp-block-file__button{background:#32373c;color:#fff;text-decoration:none} Problem 66 Find the divergence and curl for... [FREE SOLUTION] | 91Ó°ÊÓ

91Ó°ÊÓ

Find the divergence and curl for the following vector fields.\(\mathbf{F}(x, y, z)=e^{x} \mathbf{i}+e^{x y} \mathbf{j}+e^{\mathbf{x y z}} \mathbf{k}\)

Short Answer

Expert verified
Divergence: \(e^x + xe^{xy} + xy e^{xyz}\); Curl: \((xz - xy)e^{xyz} \mathbf{i} - yz e^{xyz} \mathbf{j} + y e^{xy} \mathbf{k}\)."

Step by step solution

01

Understand the Divergence Formula

The divergence of a vector field \(\mathbf{F} = P \mathbf{i} + Q \mathbf{j} + R \mathbf{k}\) is given by \(abla \cdot \mathbf{F} = \frac{\partial P}{\partial x} + \frac{\partial Q}{\partial y} + \frac{\partial R}{\partial z}\). We need to apply this formula to the given vector field \(\mathbf{F}(x, y, z) = e^x \mathbf{i} + e^{xy} \mathbf{j} + e^{xyz} \mathbf{k}\).
02

Compute the Divergence

For \(P = e^x\), \(Q = e^{xy}\), and \(R = e^{xyz}\), compute the partial derivatives: \(\frac{\partial P}{\partial x} = e^x\), \(\frac{\partial Q}{\partial y} = xe^{xy}\), and \(\frac{\partial R}{\partial z} = xy e^{xyz}\). The divergence is then \(abla \cdot \mathbf{F} = e^x + xe^{xy} + xy e^{xyz}\).
03

Understand the Curl Formula

The curl of a vector field \(\mathbf{F} = P \mathbf{i} + Q \mathbf{j} + R \mathbf{k}\) is \(abla \times \mathbf{F} = (\frac{\partial R}{\partial y} - \frac{\partial Q}{\partial z}) \mathbf{i} + (\frac{\partial P}{\partial z} - \frac{\partial R}{\partial x}) \mathbf{j} + (\frac{\partial Q}{\partial x} - \frac{\partial P}{\partial y}) \mathbf{k}\).
04

Compute the Curl

Using the given \( P, Q, R \): \(\frac{\partial R}{\partial y} = xz e^{xyz}\), \(\frac{\partial Q}{\partial z} = xy e^{xyz}\), \(\frac{\partial P}{\partial z} = 0\), \(\frac{\partial R}{\partial x} = yz e^{xyz}\), \(\frac{\partial Q}{\partial x} = ye^{xy}\), and \(\frac{\partial P}{\partial y} = 0\). Thus, the curl is \(abla \times \mathbf{F} = (xz e^{xyz} - xy e^{xyz}) \mathbf{i} + (0 - yz e^{xyz}) \mathbf{j} + (y e^{xy} - 0) \mathbf{k}\).
05

Simplify the Curl

Simplify the components of the curl: \((xz - xy)e^{xyz} \mathbf{i} - yz e^{xyz} \mathbf{j} + y e^{xy} \mathbf{k}\). Therefore, the curl is \((xz - xy)e^{xyz} \mathbf{i} - yz e^{xyz} \mathbf{j} + y e^{xy} \mathbf{k}\).

Unlock Step-by-Step Solutions & Ace Your Exams!

  • Full Textbook Solutions

    Get detailed explanations and key concepts

  • Unlimited Al creation

    Al flashcards, explanations, exams and more...

  • Ads-free access

    To over 500 millions flashcards

  • Money-back guarantee

    We refund you if you fail your exam.

Over 30 million students worldwide already upgrade their learning with 91Ó°ÊÓ!

Key Concepts

These are the key concepts you need to understand to accurately answer the question.

Divergence
Divergence is a fundamental concept in vector calculus that measures how much a vector field spreads out or converges at a given point.
It is akin to understanding how much a fluid is expanding or compressing in a space. In mathematical terms, for a 3D vector field, it involves partial derivatives of each component:
  • The formula for divergence is \( abla \cdot \mathbf{F} = \frac{\partial P}{\partial x} + \frac{\partial Q}{\partial y} + \frac{\partial R}{\partial z} \), where \(\mathbf{F} = P \mathbf{i} + Q \mathbf{j} + R \mathbf{k}\).
  • For any vector field, calculate the divergence to determine if the vector field represents a source or a sink.
Using these calculations for the given vector field \( \mathbf{F}(x, y, z) = e^x \mathbf{i} + e^{xy} \mathbf{j} + e^{xyz} \mathbf{k} \):
  • Compute the partial derivatives: \( \frac{\partial P}{\partial x} = e^x \), \( \frac{\partial Q}{\partial y} = xe^{xy} \), \( \frac{\partial R}{\partial z} = xy e^{xyz} \).
  • Combine them to obtain the divergence: \( abla \cdot \mathbf{F} = e^x + xe^{xy} + xy e^{xyz} \).
Curl
Curl, another key concept in vector calculus, indicates how much a vector field rotates around a point.
If you think about how water swirls in a whirlpool, that's a good analogy to curl. It provides information about the rotation and circulation at each point.
  • The mathematical expression for curl in a 3-dimensional space is given by:\( abla \times \mathbf{F} = \left(\frac{\partial R}{\partial y} - \frac{\partial Q}{\partial z}\right) \mathbf{i} + \left(\frac{\partial P}{\partial z} - \frac{\partial R}{\partial x}\right) \mathbf{j} + \left(\frac{\partial Q}{\partial x} - \frac{\partial P}{\partial y}\right) \mathbf{k} \).
  • Curl helps explain phenomena in physics where rotation is important, like electromagnetism.
Applying curl to our vector field \( \mathbf{F}(x, y, z) = e^x \mathbf{i} + e^{xy} \mathbf{j} + e^{xyz} \mathbf{k} \):
  • Calculate the required partial derivatives: \( \frac{\partial R}{\partial y} = xz e^{xyz} \), \( \frac{\partial Q}{\partial z} = xy e^{xyz} \), \( \frac{\partial P}{\partial z} = 0 \), \( \frac{\partial R}{\partial x} = yz e^{xyz} \), \( \frac{\partial Q}{\partial x} = ye^{xy} \), \( \frac{\partial P}{\partial y} = 0 \).
  • Combine these to find the curl: \( abla \times \mathbf{F} = (xz - xy)e^{xyz} \mathbf{i} - yz e^{xyz} \mathbf{j} + y e^{xy} \mathbf{k} \).
Partial Derivatives
Partial derivatives are the backbone of both divergence and curl because they allow us to measure the rate of change of a function with respect to one variable while keeping the others constant.
They are crucial in understanding multivariable functions, like those found in vector calculus.
  • Each component of a vector field can be treated separately when taking partial derivatives.
  • This means examining how the vector changes in the direction of the unit vectors \( \mathbf{i}, \mathbf{j} \text{ and } \mathbf{k} \).
For instance, in the given \( \mathbf{F}(x, y, z) = e^x \mathbf{i} + e^{xy} \mathbf{j} + e^{xyz} \mathbf{k} \):
  • The partial derivative \( \frac{\partial P}{\partial x} = e^x \) examines change along x-direction for component \( P \).
  • Similarly, \( \frac{\partial Q}{\partial y} = xe^{xy} \) examines change along y-direction for component \( Q \).
  • And \( \frac{\partial R}{\partial z} = xy e^{xyz} \) captures change along z-direction for component \( R \).
Vector Fields
Vector fields are visual representations of a function that assigns a vector to every point in space.
Imagine a map where each location has an arrow pointing in some direction; that's a vector field.
  • These fields are used to model various phenomena in physics, like wind patterns, electromagnetic fields, or fluid flows.
  • A vector field is described in terms of its components, often denoted by \( \mathbf{F} = P \mathbf{i} + Q \mathbf{j} + R \mathbf{k} \).
For \( \mathbf{F}(x, y, z) = e^x \mathbf{i} + e^{xy} \mathbf{j} + e^{xyz} \mathbf{k} \):
  • The component \( e^x \mathbf{i} \) might represent an exponential increase in the x-direction.
  • The component \( e^{xy} \mathbf{j} \) indicates interactions between x and y directions.
  • The component \( e^{xyz} \mathbf{k} \) implies a complex relation involving x, y, and z directions.
Thus, the vector field captures complex interactions at every point in space, useful for modeling real-world problems.

One App. One Place for Learning.

All the tools & learning materials you need for study success - in one app.

Get started for free

Study anywhere. Anytime. Across all devices.