Question about noncanonical transformations

In summary: It is correct that the equations for the untransformed state will not be the same as the equations for the transformed state.
  • #1
demonelite123
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Suppose i release a particle at (x=a,y=0) with (p_x = b, p_y = 0) and you release one in the transformed state (x=0, y=a) with (p_x = b, p_y = 0) where the transformation is that we rotate the coordinates but not the momenta. This is a non canonical transformation that leaves H invariant. Show that at later times the states of the two particles are not related by the same transformation.

i am not sure what to do on this problem. i can intuitively see that if the acceleration is 0, both particles move to the right at a constant velocity of p_x / m but i am not sure how mathematically describe the transformations of the two particles through time and show that they are different. can anyone give me some pointers? thanks.
 
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  • #2
demonelite123 said:
Suppose i release a particle at (x=a,y=0) with (p_x = b, p_y = 0) and you release one in the transformed state (x=0, y=a) with (p_x = b, p_y = 0) where the transformation is that we rotate the coordinates but not the momenta. This is a non canonical transformation that leaves H invariant. Show that at later times the states of the two particles are not related by the same transformation.

i am not sure what to do on this problem. i can intuitively see that if the acceleration is 0, both particles move to the right at a constant velocity of p_x / m but i am not sure how mathematically describe the transformations of the two particles through time and show that they are different. can anyone give me some pointers? thanks.

You are confusing canonical transformation with two different initial condition. You did not perform a canonical transformation. What you needs is 4 new variables (can be identical, of course if you wish) [itex]\{Q_1, Q_2, P_1, P_2\}[/itex] that is the function of the original variable [itex]\{q_1, q_2, p_1, p_2\}[/itex]. That is a transformation.

What you probably have in mind is something like this: [itex]\{Q_1 = q_2, Q_2 = q_1, P_1 = p_1, P_2 = p_2\}[/itex]. And you are right, it is not a canonical trasnformation.
 
  • #3
mathfeel said:
You are confusing canonical transformation with two different initial condition. You did not perform a canonical transformation. What you needs is 4 new variables (can be identical, of course if you wish) [itex]\{Q_1, Q_2, P_1, P_2\}[/itex] that is the function of the original variable [itex]\{q_1, q_2, p_1, p_2\}[/itex]. That is a transformation.

What you probably have in mind is something like this: [itex]\{Q_1 = q_2, Q_2 = q_1, P_1 = p_1, P_2 = p_2\}[/itex]. And you are right, it is not a canonical trasnformation.

ok so i know the transformation equations are xnew= xcos(θ) - ysin(θ), ynew= xsin(θ) + ycos(θ), and px,new=px, py,new= py since the momentum coordinates are unchanged. i am still confused on what to do with the 2 sets of initial conditions given to me. using the second set of initial conditions for the transformed coordinates i see that xnew = -asin(θ), ynew = acos(θ), px,new = b, py,new = 0 which are the initial points for the transformed system. after this i need to find the transformations for both particles which describe their position and momentum coordinates at any time t. how would i do this?
 
  • #4
Suppose [itex]x(t)[/itex], [itex]y(t)[/itex], [itex]p_x(t)[/itex], [itex]p_y(t)[/itex] is a solution to the Hamilton's equations for a particular initial condition.

Then does [itex]X(t)[/itex], [itex]Y(t)[/itex] etc, constructed from the transformation still satisfies Hamilton's equations?
 
  • #5
mathfeel said:
Suppose [itex]x(t)[/itex], [itex]y(t)[/itex], [itex]p_x(t)[/itex], [itex]p_y(t)[/itex] is a solution to the Hamilton's equations for a particular initial condition.

Then does [itex]X(t)[/itex], [itex]Y(t)[/itex] etc, constructed from the transformation still satisfies Hamilton's equations?

hm it seems clear to me that if you write out Hamilton's equations for the untransformed state and solve for the x(t) and y(t), it won't have the same form as xnew(t) and ynew(t) since replacing the old coordinates with the new coordinates in the differential equations will obviously result in a different set of equations in this specific case of the rotation of just the coordinates. i imagine this sort of thing occurs for all transformations that are not canonical since the new coordinates do not satisfy the equations. is this the correct reasoning? thanks for your answers mathfeel.
 

FAQ: Question about noncanonical transformations

What are noncanonical transformations?

Noncanonical transformations are mathematical transformations that do not preserve the canonical form of a function or equation. This means that the transformed function or equation may have a different structure or form compared to the original one.

Why are noncanonical transformations important in science?

Noncanonical transformations are important in science because they allow us to simplify complex functions or equations and make them easier to analyze. They also help us to better understand the underlying principles and relationships between different systems.

What are some examples of noncanonical transformations?

Some examples of noncanonical transformations include Fourier transforms, Laplace transforms, and Legendre transforms. These transformations are commonly used in physics, engineering, and other fields to convert a function or equation from one domain to another.

How do noncanonical transformations differ from canonical transformations?

Canonical transformations preserve the form and structure of a function or equation, while noncanonical transformations do not. In other words, canonical transformations do not change the underlying relationships and principles of the system, while noncanonical transformations can result in a different interpretation of the system.

What are the practical applications of noncanonical transformations?

Noncanonical transformations have many practical applications in science, engineering, and mathematics. They are used to solve differential equations, analyze complex systems, and convert between different domains such as time and frequency. They are also used in signal processing, image analysis, and data compression.

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