Chapter 14: Problem 16
In Problems 13-18, find div \(\mathbf{F}\) and curl \(\mathbf{F}\). $$ \mathbf{F}(x, y, z)=\cos x \mathbf{i}+\sin y \mathbf{j}+3 \mathbf{k} $$
Short Answer
Expert verified
\( \text{div } \mathbf{F} = -\sin x + \cos y \); \( \text{curl } \mathbf{F} = \mathbf{0} \).
Step by step solution
01
Recall Definitions
To find the divergence and curl of a vector field, recall that the divergence of a vector field \( \mathbf{F} = P\mathbf{i} + Q\mathbf{j} + R\mathbf{k} \) is given by \( abla \cdot \mathbf{F} = \frac{\partial P}{\partial x} + \frac{\partial Q}{\partial y} + \frac{\partial R}{\partial z} \). The curl of a vector field is given by \( abla \times \mathbf{F} = \left( \frac{\partial R}{\partial y} - \frac{\partial Q}{\partial z} \right) \mathbf{i} - \left( \frac{\partial R}{\partial x} - \frac{\partial P}{\partial z} \right) \mathbf{j} + \left( \frac{\partial Q}{\partial x} - \frac{\partial P}{\partial y} \right) \mathbf{k} \).
02
Identify Components of \( \mathbf{F} \)
Given the vector field \( \mathbf{F}(x, y, z) = \cos x \mathbf{i} + \sin y \mathbf{j} + 3 \mathbf{k} \), identify the components: \( P(x, y, z) = \cos x \), \( Q(x, y, z) = \sin y \), and \( R(x, y, z) = 3 \).
03
Compute Divergence of \( \mathbf{F} \)
Using the formula for divergence, compute: \[ abla \cdot \mathbf{F} = \frac{\partial}{\partial x}(\cos x) + \frac{\partial}{\partial y}(\sin y) + \frac{\partial}{\partial z}(3) \]. Evaluate each partial derivative: \( \frac{\partial}{\partial x}(\cos x) = -\sin x \), \( \frac{\partial}{\partial y}(\sin y) = \cos y \), and \( \frac{\partial}{\partial z}(3) = 0 \). Thus, \( abla \cdot \mathbf{F} = -\sin x + \cos y \).
04
Compute Curl of \( \mathbf{F} \)
Using the formula for curl, compute each component: \( \frac{\partial R}{\partial y} - \frac{\partial Q}{\partial z} = 0 - 0 = 0 \), \( \frac{\partial R}{\partial x} - \frac{\partial P}{\partial z} = 0 - 0 = 0 \), and \( \frac{\partial Q}{\partial x} - \frac{\partial P}{\partial y} = 0 - 0 = 0 \). Hence, \( abla \times \mathbf{F} = 0 \mathbf{i} - 0 \mathbf{j} + 0 \mathbf{k} = \mathbf{0} \).
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Key Concepts
These are the key concepts you need to understand to accurately answer the question.
Divergence
Divergence is an important concept in vector calculus that measures how much a vector field spreads out or converges at a given point. It is a scalar quantity derived from a vector field that provides insight into whether 'stuff' is exiting or entering a point. To find the divergence of a vector field \( \mathbf{F} = P\mathbf{i} + Q\mathbf{j} + R\mathbf{k} \), you use the formula: \[ abla \cdot \mathbf{F} = \frac{\partial P}{\partial x} + \frac{\partial Q}{\partial y} + \frac{\partial R}{\partial z} \]. Using this, we see that it involves partial derivatives which describe rates of change along each coordinate axis.
- A positive divergence indicates a source, meaning vectors are spreading out from that point.
- A negative divergence indicates a sink, meaning vectors are converging to that point.
- Zero divergence means the vector field is neither spreading nor converging.
Curl
The curl is another fundamental vector operation that applies to vector fields. It represents the rotational tendency at a point, providing a vector that describes the axis and magnitude of the rotation. For a vector field \( \mathbf{F} = P\mathbf{i} + Q\mathbf{j} + R\mathbf{k} \), the curl is calculated using: \[ abla \times \mathbf{F} = \left( \frac{\partial R}{\partial y} - \frac{\partial Q}{\partial z} \right) \mathbf{i} - \left( \frac{\partial R}{\partial x} - \frac{\partial P}{\partial z} \right) \mathbf{j} + \left( \frac{\partial Q}{\partial x} - \frac{\partial P}{\partial y} \right) \mathbf{k} \]. This formula essentially measures how much and in which direction a vector field 'twists' around a particular point.
- If the curl is zero, it indicates no rotation, and the vector field is considered irrotational.
- A non-zero curl suggests that the vector field contains rotation about that axis.
Vector field
A vector field is a map that attaches a vector to every point in a subset of space. Think of it as an assignment of a vector to each point in a region, providing directions and magnitudes, much like mini arrows on a map.
- Vector fields can represent diverse phenomena such as wind speed or ocean currents.
- They appear in various dimensions – often in 2D or 3D spaces in mathematical problems.
- Examples include the gravitational field, electric field, and magnetic field.