Chapter 5: Problem 25
Find the divergence of \(\mathrm{F}\). $$ \mathbf{F}(x, y, z)=a x \mathbf{i}+b y j+c k \text { for constants } a, b, c $$
Short Answer
Expert verified
The divergence of \( \mathbf{F} \) is \( a + b \).
Step by step solution
01
Identify the Components of the Vector Field
The vector field is given by \( \mathbf{F}(x, y, z) = ax \mathbf{i} + by \mathbf{j} + c \mathbf{k} \). This means the components are \( F_x = ax \), \( F_y = by \), and \( F_z = c \).
02
Recall the Divergence Formula
The formula for the divergence of a vector field \( \mathbf{F} = P\mathbf{i} + Q\mathbf{j} + R\mathbf{k} \) is given by \( abla \cdot \mathbf{F} = \frac{\partial P}{\partial x} + \frac{\partial Q}{\partial y} + \frac{\partial R}{\partial z} \).
03
Find Partial Derivatives
Calculate the partial derivative of each component of \( \mathbf{F}(x, y, z) \):- \( \frac{\partial (ax)}{\partial x} = a \)- \( \frac{\partial (by)}{\partial y} = b \)- \( \frac{\partial (c)}{\partial z} = 0 \), because \( c \) is a constant.
04
Compute the Divergence
Add the partial derivatives from Step 3 to find the divergence: \( abla \cdot \mathbf{F} = a + b + 0 = a + b \).
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Key Concepts
These are the key concepts you need to understand to accurately answer the question.
Vector Field
A vector field is a crucial concept in mathematics and physics. It involves assigning a vector to every point in a specific space. In the context of this exercise, the vector field is given as \( \mathbf{F}(x, y, z) = ax \mathbf{i} + by \mathbf{j} + c \mathbf{k} \). Here, each vector is composed of three components related to the coordinates \( x \), \( y \), and \( z \).
Understanding the components is essential:
Understanding the components is essential:
- \( F_x = ax \) is the component in the \( x \)-direction.
- \( F_y = by \) is the component in the \( y \)-direction.
- \( F_z = c \) is the component in the \( z \)-direction.
Partial Derivatives
Partial derivatives represent an essential tool in calculus to understand the change of a function with respect to one variable, holding others constant. In this vector field exercise, the function involves variables \( x, y, \) and \( z \).
Let's recapitulate the calculation of each partial derivative for the vector field:
Let's recapitulate the calculation of each partial derivative for the vector field:
- The partial derivative of \( F_x = ax \) with respect to \( x \) is \( \frac{\partial (ax)}{\partial x} = a \).
- The partial derivative of \( F_y = by \) with respect to \( y \) is \( \frac{\partial (by)}{\partial y} = b \).
- The partial derivative of \( F_z = c \) with respect to \( z \) is \( \frac{\partial (c)}{\partial z} = 0 \). As \( c \) is a constant, its derivative concerning any variable is zero.
Divergence Formula
The divergence formula is an important method for evaluating whether a vector field is diverging or converging at a point. For the vector field \( \mathbf{F} = P\mathbf{i} + Q\mathbf{j} + R\mathbf{k} \), the divergence is calculated using the formula:
\[ abla \cdot \mathbf{F} = \frac{\partial P}{\partial x} + \frac{\partial Q}{\partial y} + \frac{\partial R}{\partial z} \]
Applying this to our exercise:
This result indicates the rate of change of density of the field at any given point. If the divergence is positive, it implies a source at that point. Conversely, a negative divergence suggests a sink, and zero indicates no net flow.
\[ abla \cdot \mathbf{F} = \frac{\partial P}{\partial x} + \frac{\partial Q}{\partial y} + \frac{\partial R}{\partial z} \]
Applying this to our exercise:
- The partial derivative of \( ax \) with respect to \( x \) gives \( a \).
- \( by \) with respect to \( y \) gives \( b \).
- And \( c \) with respect to \( z \) results in \( 0 \).
This result indicates the rate of change of density of the field at any given point. If the divergence is positive, it implies a source at that point. Conversely, a negative divergence suggests a sink, and zero indicates no net flow.