Calculating div(theta) and tangent curves

In summary, we are given two functions, Θ and A, and we are asked to calculate the gradient vector for each function and sketch the tangent curves for specific values of the constant vectors p and m. The first problem involves a messy calculation, while the second problem can be simplified using the product rule and the Levi-Civita symbol.
  • #1
renegade05
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Homework Statement



Calculate ∇Θ where [tex]Θ(x)=\frac{\vec{p} \cdot \vec{x}}{r^3}[/tex]. Here [tex]\vec{p}[/tex] is a constant vector and [tex]r=|\vec{x}|[/tex]. In addition, sketch the tangent curves of the vector function ∇Θ for [tex]\vec{p}=p\hat{z}[/tex]

(b) Calculate [tex]∇ (cross) A → \vec{A}=\frac{\vec{m}x\vec{X}}{r^3}[/tex] m is constant vector. Sketch the tangent curves of ∇(cross)A for [tex]\vec{m}=m\hat{z}[/tex]

Homework Equations



gradient vector

The Attempt at a Solution



Well when I apply the gradient vector to the function Θ I get many terms and a very ugly answer. I am not sure if this will clean up nicely? Is there an easier way of doing this then brute force? Also, I am not sure how to represent the tangent curve of the vector function [tex]\vec{p}=p\hat{z}[/tex] or [tex]\vec{m}=m\hat{z}[/tex].
 
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  • #2
Sometimes the Ricci calculus is easier than the nabla calculus. BTW: Both questions are not about div but about grad and curl.

For the first problem you have to calculate (Einstein summation convention implied)

[tex]\partial_j \Theta=\partial_j \left ( \frac{p_k x_k}{r^3} \right ).[/tex]
This is now just the task to take the partial derivatives using the usual rules for differentiation (product rule in this case).

For the second problem note that
[tex](\vec{\nabla} \times \vec{A})_j = \epsilon_{jkl} \partial_k A_l,[/tex]
where [itex]\epsilon_{jkl}[/itex] is the Levi-Civita symbol.
 

FAQ: Calculating div(theta) and tangent curves

What is the purpose of calculating div(theta)?

The purpose of calculating div(theta) is to determine the divergence of a vector field at a given point. This helps to understand the behavior and flow of the vector field at that particular point.

How is div(theta) calculated?

Div(theta) is calculated by taking the dot product of the gradient and the vector field. This can be represented mathematically as div(theta) = ∇ • F, where ∇ represents the gradient and F represents the vector field.

What is the significance of tangent curves?

Tangent curves are important in understanding the direction and rate of change of a function at a given point. They also help to visualize the behavior of a function and its derivatives.

How do you find the tangent curve of a function?

The tangent curve of a function can be found by taking the derivative of the function and plugging in the x-coordinate of the point of interest. This will give the slope of the tangent line at that point, which can then be used to plot the tangent curve.

What are some real-world applications of calculating div(theta) and tangent curves?

Calculating div(theta) and tangent curves have various applications in fields such as physics, engineering, and finance. For example, in physics, they can be used to analyze the flow of fluids or the electric field around a charged particle. In finance, they can help in predicting the behavior of stock prices or interest rates. Additionally, they are also used in computer graphics to create 3D images and animations.

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