Confusion about canonical transformations

In summary: In the example given, the generating function does not satisfy these requirements, resulting in a transformation that does not provide any new information about the system.
  • #1
jojo12345
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I have read that "any" function of new and old coordinates may be used to generate a canonical transformation. However, it seems there must be some restriction on the generating function.

For example, if you try to define a generating function for a system with 2 degrees of freedom:

G(x,y,X,Y) = sin(X+Y) + sin(x+y)

where x,y are the old coordinates and X,Y the new, and take the appropriate partial derivatives, you seem to end up with:

px = cos(x+y)
py = cos(x+y)

Px = cos(X+Y)
Py = cos(X+Y) (Px,Py are the new momenta and px,py the old)

Not only does this seem to tell you nothing about a "transformation", but it seems to imply px = py, Py = Px.

What is going on here?
 
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  • #2
Is there a general restriction on the generating function for a canonical transformation?Yes, there is a general restriction on the generating function for a canonical transformation. The generating function must be a function of both the new and old coordinates that is single valued and has a continuous first partial derivative. Furthermore, the generating function must satisfy the Hamilton-Jacobi equation. This ensures that the transformation is canonical.
 
  • #3



There seems to be a misunderstanding about canonical transformations. While it is true that any function of old and new coordinates can be used to generate a canonical transformation, there are certain restrictions on the generating function in order for it to be considered a canonical transformation.

Firstly, the generating function must be a function of both the old and new coordinates, as well as the old and new momenta. In the example given, the generating function only depends on the old and new coordinates, and not the momenta. This is why the resulting equations for the momenta are the same for both the old and new coordinates, leading to the confusion of px = py and Px = Py.

Additionally, the generating function must be a smooth and invertible function, meaning that it must have a unique inverse that can be solved for the old coordinates and momenta in terms of the new coordinates and momenta. This is important in order for the transformation to be reversible and for the Hamiltonian equations of motion to be preserved.

In summary, while it is possible to use any function of old and new coordinates to generate a canonical transformation, it must also satisfy the above restrictions in order to be considered a valid transformation. It is important to carefully check the equations and ensure that all variables are accounted for in order to avoid the confusion seen in the example given.
 

1. What are canonical transformations?

Canonical transformations are mathematical transformations that preserve the form of the Hamiltonian equations of motion. They are used to transform one set of canonical coordinates to another set that may be more convenient for solving a particular problem.

2. Why is there confusion about canonical transformations?

There is confusion about canonical transformations because they can be complex and involve advanced mathematical concepts. Additionally, there are different types of canonical transformations, each with their own set of rules and properties, which can be confusing for those new to the topic.

3. What are the different types of canonical transformations?

There are three types of canonical transformations: point transformations, generating function transformations, and contact transformations. Point transformations involve changing the coordinates of a system, generating function transformations involve changing the momenta of a system, and contact transformations involve changing both coordinates and momenta simultaneously.

4. How are canonical transformations related to symplectic geometry?

Canonical transformations are closely related to symplectic geometry, which is the mathematical framework used to study Hamiltonian systems. In symplectic geometry, canonical transformations are represented by symplectomorphisms, which are transformations that preserve the symplectic structure of a system.

5. What are some practical applications of canonical transformations?

Canonical transformations have many practical applications in physics and engineering. They are used in classical mechanics to simplify complex problems and in quantum mechanics to transform wave functions. They are also used in control theory, optimal control, and in the study of Hamiltonian systems in celestial mechanics and fluid dynamics.

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