# 2: For the vector field F = xi a) Plot the vector field on the xry Cartesian coordinate system b) Find the divergence of the vector field. c) Find the curl of the vector field.

Advanced Engineering Mathematics
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ISBN:9780470458365
Author:Erwin Kreyszig
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Chapter2: Second-order Linear Odes
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### Vector Field Analysis

#### Problem Statement
For the vector field \( \mathbf{F} = x \mathbf{i} \):

a) Plot the vector field on the \( xy \) Cartesian coordinate system.

b) Find the divergence of the vector field.

c) Find the curl of the vector field.

#### Solution:

##### a) Plotting the Vector Field
To plot the vector field \( \mathbf{F} = x \mathbf{i} \), we need to represent the vectors at different points in the \( xy \) plane. The vector \( \mathbf{F} = x \mathbf{i} \) means that at a point \((x,y)\), the vector has a magnitude equal to \( x \) and points in the positive \( x \)-direction (since it's scaled by the unit vector \( \mathbf{i} \)).

1. At \((1, 0)\), \( \mathbf{F} = \mathbf{i} \) (a vector of length 1 in the \( x \)-direction). 
2. At \((2, 0)\), \( \mathbf{F} = 2 \mathbf{i} \) (a vector of length 2 in the \( x \)-direction).
3. At \((-1, 0)\), \( \mathbf{F} = -\mathbf{i} \) (a vector of length 1 in the negative \( x \)-direction).
4. At any point \((x, y)\), the vector is \( x \mathbf{i} \), independent of \( y \).

This creates a pattern where vectors at points with larger \( x \)-coordinates are longer, and the vectors always point horizontally in the \( x \)-direction.

##### b) Finding the Divergence of the Vector Field
The divergence of a vector field \( \mathbf{F} = P\mathbf{i} + Q\mathbf{j} \) is given by:

\[ \nabla \cdot \mathbf{F} = \frac{\partial P}{\partial x} + \frac{\partial Q}{\partial y} \]

For \( \mathbf{F} = x \mathbf{i} \):

- \( P = x \)
- \( Q = 0 \)

So, 

\[ \nabla \cdot \mathbf{F} = \frac{\partial x}{\partial x} + \frac{\partial 0
Transcribed Image Text:### Vector Field Analysis #### Problem Statement For the vector field \( \mathbf{F} = x \mathbf{i} \): a) Plot the vector field on the \( xy \) Cartesian coordinate system. b) Find the divergence of the vector field. c) Find the curl of the vector field. #### Solution: ##### a) Plotting the Vector Field To plot the vector field \( \mathbf{F} = x \mathbf{i} \), we need to represent the vectors at different points in the \( xy \) plane. The vector \( \mathbf{F} = x \mathbf{i} \) means that at a point \((x,y)\), the vector has a magnitude equal to \( x \) and points in the positive \( x \)-direction (since it's scaled by the unit vector \( \mathbf{i} \)). 1. At \((1, 0)\), \( \mathbf{F} = \mathbf{i} \) (a vector of length 1 in the \( x \)-direction). 2. At \((2, 0)\), \( \mathbf{F} = 2 \mathbf{i} \) (a vector of length 2 in the \( x \)-direction). 3. At \((-1, 0)\), \( \mathbf{F} = -\mathbf{i} \) (a vector of length 1 in the negative \( x \)-direction). 4. At any point \((x, y)\), the vector is \( x \mathbf{i} \), independent of \( y \). This creates a pattern where vectors at points with larger \( x \)-coordinates are longer, and the vectors always point horizontally in the \( x \)-direction. ##### b) Finding the Divergence of the Vector Field The divergence of a vector field \( \mathbf{F} = P\mathbf{i} + Q\mathbf{j} \) is given by: \[ \nabla \cdot \mathbf{F} = \frac{\partial P}{\partial x} + \frac{\partial Q}{\partial y} \] For \( \mathbf{F} = x \mathbf{i} \): - \( P = x \) - \( Q = 0 \) So, \[ \nabla \cdot \mathbf{F} = \frac{\partial x}{\partial x} + \frac{\partial 0
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