Solving Galilean Transform Homework with Gradients in (u,v)

In summary, the conversation discusses a change of variables and how to express an expression in terms of a gradient using the new variables. The first term can be written as f(\vec u -\vec a, v-b) and the second term requires the use of the chain rule.
  • #1
MarkovMarakov
33
1

Homework Statement


If there is a change of variables:
[tex](\vec x(t),t)\to (\vec u=\vec x+\vec a(t),\,\,\,v=t+b)[/tex] where [itex]b[/itex] is a constant.

Suppose I wish to write the following expression in terms of a gradient in [itex](\vec u, v)[/itex]

[tex]\nabla_\vec x f(\vec x,t)+{d^2\vec a\over dt^2}[/tex] How do I do that?

Homework Equations


Please see above.

The Attempt at a Solution


For the first term, I think
[tex]f(\vec x, t)\to f(\vec u -\vec a, v-b)[/tex]
I am not sure what to do with the second term though.
 
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  • #2
You should use chain rule I think, so

[itex]\frac{\partial }{\partial x}=\frac{\partial u}{\partial x}\frac{\partial}{\partial u}[/itex]

If I understood your question, this is what you are looking for.
 

FAQ: Solving Galilean Transform Homework with Gradients in (u,v)

How do you solve Galilean Transform homework using gradients?

Solving Galilean Transform homework using gradients involves understanding the concept of gradients and how they can be used to solve problems in physics. Gradients represent the rate of change of a quantity with respect to another quantity. In the context of Galilean Transform, gradients can be used to calculate the velocity and position of an object in different frames of reference.

What is the role of (u,v) in solving Galilean Transform homework with gradients?

(u,v) represents the velocity of an object in different frames of reference. In Galilean Transform, (u,v) is used to calculate the velocity and position of an object in a different frame of reference. It is an essential component in solving Galilean Transform problems with gradients.

What are the steps involved in solving Galilean Transform homework with gradients?

The first step is to understand the concept of gradients and how they can be used to solve Galilean Transform problems. Then, the given equations and values must be identified and organized. Next, the gradients must be calculated for each variable. Finally, the gradients are used to solve for the unknown variables using algebraic manipulation.

How do I know which frame of reference to use when solving Galilean Transform problems with gradients?

The frame of reference to use depends on the given information in the problem. If the problem provides information about the object's velocity and position in one frame of reference, then that frame of reference can be used to solve the problem. If information about the object's velocity and position in both frames of reference is given, then either frame of reference can be used to solve the problem.

Can I use gradients to solve other types of physics problems?

Yes, gradients can be used to solve a variety of physics problems. They are particularly useful in problems that involve rates of change, such as motion, acceleration, and forces. Gradients can also be used to find the maximum or minimum value of a function, which is helpful in optimization problems.

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