Understanding the Derivative of the Cross Product in Dynamics

In summary, the conversation discussed the derivation of equations (2.19) and (2.20) from page 5 of a paper on dynamics. The speaker had trouble understanding the derivation of (2.20) and asked for clarification. The paper defines \frac{\partial L}{\partial{\mathbf r}'} in terms of partial derivatives. Using this definition, it is possible to see how (2.20) follows from (2.19). The result in (2.20) is a more general result that can be applied to any rotation vector.
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Homework Statement



http://damtp.cam.ac.uk/user/dt281/dynamics/two.pdf"

Looking at page 5, equations (2.19) and (2.20)

The Attempt at a Solution



I cannot understand how they derived the (2.20), at first from comparing the solutions I had assumed r(dot)' had disappeared as we were differentiating with respect to dr'.

I then went about the derivative of the cross product:

Omega X r(dot)' + ... But in the solution we find Omega x (Omega X r').


Could anyone please help clear this up for me.
 
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What that paper means by [itex]\partial L/\partial \mathbf r'[/itex] is

[tex]\frac{\partial L}{\partial{\mathbf r}'} \equiv
\frac{\partial L}{\partial x'}\hat x' +
\frac{\partial L}{\partial y'}\hat y' +
\frac{\partial L}{\partial z'}\hat z'[/tex]

It might be easier for you to see how (2.20) follows from (2.19) by using (2.19) in its first form,

[tex]
L = \frac 1 2 m \Bigl((\dot x - \omega y')^2 + (\dot y + \omega x')^2 + \dot z^2\Bigl)
[/tex]

The result in (2.20) is a much more general result. It applies to any rotation vector [itex]\boldsymbol \omega[/itex], not just the pure z rotation used in that example.
 

FAQ: Understanding the Derivative of the Cross Product in Dynamics

What is the definition of the derivative of a cross product?

The derivative of a cross product is a mathematical operation that determines how a small change in one vector affects the resulting cross product of two other vectors.

How is the derivative of a cross product calculated?

The derivative of a cross product is calculated using the product rule for derivatives, which states that the derivative of the cross product of two vectors is equal to the first vector crossed with the derivative of the second vector, plus the second vector crossed with the derivative of the first vector.

Why is the derivative of a cross product useful?

The derivative of a cross product is useful in many areas of mathematics and science, including physics, engineering, and computer graphics. It allows us to calculate the rate of change of a vector quantity and can help us understand the behavior of complex systems.

Can the derivative of a cross product be negative?

Yes, the derivative of a cross product can be negative. This occurs when the two vectors involved in the cross product are changing in opposite directions, resulting in a negative rate of change for the cross product.

Are there any special cases when calculating the derivative of a cross product?

Yes, there are a few special cases when calculating the derivative of a cross product. For example, when one of the vectors is constant, the derivative will be zero. Additionally, if the vectors are parallel, the derivative will also be zero.

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