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PHYS 705: Classical Mechanics
Canonical Transformation
1
Canonical Variables and Hamiltonian Formalism
 are independent variables in phase space on equal footing
As we have seen, in the Hamiltonian Formulation of Mechanics,
j j
j j
H H
q and p
p q
 
  
 
 
- As long as the new variables formally satisfy this abstract structure (the
form of the Hamilton’s Equations.
,
j j
q p
 The Hamilton’s Equation for are “symmetric” (symplectic, later)
,
j j
q p
 This elegant formal structure of mechanics affords us the freedom in
selecting other (may be better) canonical variables as our phase space
“coordinates” and “momenta”
2
Canonical Transformation
Recall (from hw) that the Euler-Lagrange Equation is invariant for a point
transformation:
Now, the idea is to find a generalized (canonical) transformation in phase
space (not config. space) such that the Hamilton’s Equations are invariant !
( , )
j j
Q Q q t

i.e., if we have, 0,
j j
L d L
q dt q
 
 
 
 
 
 
 

then, 0,
j j
L d L
Q dt Q
 
 
 
 
 
 
 

( , , )
( , , )
j j
j j
Q Q q p t
P P q p t


(In general, we look for
transformations which
are invertible.)
3
Invariance of EL equation for Point Transformation
Given:
From the inverse point transformation equation , we have,
( , )
j j
Q Q q t

and a point transformation:
0,
j j
d L L
dt q q
 
 
 
 
 
 
 

Formally, calculate: i i
i i
j i j i j
q q
L L L
Q q Q q Q
 
  
 
    
 


i i
j
i
i i
i
j j
q
Q
q
L L
Q
L
Q q q
  
 
  




 
 



(chain rule)
( , )
i i
q q Q t

0
i
j
q
Q



 and i
j
i
j
q
Q
Q
q



 


i i
i k
k k
q q
q Q
Q t
 
 
 
 

First look at the situation in config. space first:
 Need to show: 0
j j
d L L
dt Q Q
 
 
 
 
 
 
 

4
Invariance of EL equation for Point Transformation
Forming the LHS of EL equation with :
j j
d L L
LHS
dt Q Q
 
 
 
 
 
 
 

i i i
i i i
i j i j i j
d
dt
q q q
L L L
LHS
q Q q Q q Q
 
  
  
 
  
 
     
 
 
  

 
j
Q
i i
i i i
i j i j
i i
i j i j
q q
L d d L
q dt Q dt
q q
L L
q Q q Q
q Q
   
 
 

   
 
   
 

  
 

  
 
 
   
 

  
 


i i
i i i i
i
i
j
j j
i
j
L L
q
q q
d L L d
dt q q dt Q
q q
Q Q q Q

  
     
 
 
   
 
 
     
   
     
   

 
 

 



 
5
Invariance of EL equation for Point Transformation
i
i i
i i
i
i j j
j
q q
d L L d
LHS
dt q q
L
Q
q d Q
q
t
Q



 
  
 
     
 
 
   
 
 
 
 
     
   
 
   
  

 
 
 

 


0

(Since that’s what given !)
0
i i
j j
i i
j j
dq q
Q dt Q
q q
Q Q


 
 
 
  
 

 
(exchange order of diff)
0
LHS  0
j j
d L L
dt Q Q
 
 
 
 
 
 
 

6
Canonical Transformation
Now, back to phase space with q’s & p’s, we need to find the appropriate
(canonical) transformation
with which the Hamilton’s Equations are satisfied:
such that there exist a transformed Hamiltonian
( , , ) and ( , , )
j j j j
Q Q q p t P P q p t
 
( , , )
K Q P t
j j
j j
K K
Q and P
P Q
 
  
 
 
(The form of the EOM must be invariant in the new coordinates.)
** It is important to further stated that the transformation considered
must also be problem-independent meaning that must be canonical
coordinates for all system with the same number of dofs.
( , )
Q P
7
Canonical Transformation
To see what this condition might say about our canonical transformation,
we need to go back to the Hamilton’s Principle:
Hamilton’s Principle: The motion of the system in configuration space is
such that the action I has a stationary value for the actual path, .i.e.,
2
1
0
t
t
I Ldt
 
 

Now, we need to extend this to the 2n-dimensional phase space
1. The integrant in the action integral must now be a function of the
independent conjugate variable and their derivatives
2. We will consider variations in all 2n phase space coordinates
,
j j
q p ,
j j
q p
 
8
Hamilton’s Principle in Phase Space
1. To rewrite the integrant in terms of , we will utilize the
definition for the Hamiltonian (or the inverse Legendre Transform):
2 2
1 1
( , , ) 0
t t
j j
t t
I Ldt p q H q p t dt
    
   
 
  
Substituting this into our variation equation, we have
2. The variations are now for n and n : (all q’s and p’s are independent)
'
j
q s
, , ,
j j j j
q p q p
 
( , , )
j j j j
H p q L L p q H q p t
    
  (Einstein’s sum rule)
'
j
p s
again, we will required the variations for the to be zero at ends
j
q
The rewritten integrant is formally a
function of but in fact it does not depend on , i.e.
This fact will proved to be useful later on.
( , , ) ( , , )
j j
q q p p q H q p t
  
 
, , ,
j j j j
q p q p
  j
p
 0
j
p
  

9
Hamilton’s Principle in Phase Space
Affecting the variations on all 2n variables , we have,
,
j j
q p
'
j
p s

2
1
0
t
j j
j j j
t
j j
j j j
q q
I
d d d
q q
p p
d d dt
p p
  
  
 
 
  
 
  

 
 
  
    
  


 
 
  
  
 
 
    
 










'
j
q s

As in previous discussion, the second term in the sum for can be
rewritten using integration by parts:
'
j
q s

2
2
2
1
1 1
t
t
t
j j j
j j j
t
t t
q q q d
dt dt
q q dt q
  
 
  
  
   
 
     
 



 
 

  
0
0
j j j
j j j
q q
p p


 
 
10
Hamilton’s Principle in Phase Space
 Previously, we have required the variations for the to be zero at end pts
j
q
So, the first sum with can be written as:
'
j
q s

1 2
,
0
j
t t t
q
 



so that,
2
1
where
t
j
j j
j j j
t
q
d
q dt q d
q dt q
  

 
  
 
  
 
 
 
  
 
 
 




 
2
1
t
j j
j j j
t
q q d
d d dt
q dt q
 
 
 
 
 
 

 
 
 
 
   
 
 




 
2
2
1
1
t
t
j j
j j t
t
q q
dt
q q
 
 
 

   




 
2
1
t
j
j
t
q d
dt
dt q

 
 
  
 
 
 



 
11
 Note, since , without enforcing the
Hamilton’s Principle in Phase Space
'
j
p s

Now, perform the same integration by parts to the corresponding term for
j
p
0
j
p
  

2
1
0
t
j
j t
p
p 



 

we have,
2
1
where
t
j
j j
j j j
t
p
d
p dt p d
p dt p
  

 
  
 
 
 
 
 
  
 
 
 




 
2
2
2
1
1 1
t
t
t
j j j
j j j
t
t t
p p p d
dt dt
p p dt p
  
 
  
  
   
 
     
 



 
 

  
variations for to be zero at end points.
This gives the result for the 2nd sum in the variation equation for :
'
j
p s

12
Hamilton’s Principle in Phase Space
Putting both terms back together, we have:
2
1
0
t
j j
j j
j j j j
t
I d d
d q p dt
q dt q p dt p
  

 
   
   
    
 
    
   
   
 
   
    
   
 
   
    





 
 
1 2
Since both variations are independent, and must vanish independently !
2
1
1 0
j j
d
dt q q
 
 
 
 
 
 
 

0
j
j
H
p
q
 

  
 

 
 

( , , ) ( , , )
j j
q q p p q H q p t
  
 
and
j
j j j
H
p
q q q
  
   
  

j
j
H
p
q

 

 (one of the Hamilton’s
equations)
13
Hamilton’s Principle in Phase Space
2
1
0
t
j j
j j
j j j j
t
I d d
d q p dt
q dt q p dt p
  

 
   
   
    
 
    
   
   
 
   
    
   
 
   
    





 
 
1 2
2 0
j j
d
dt p p
 
 
 
 
 
 
 

0 0
j
j
H
q
p
 

  
 

 
 

( , , ) ( , , )
j j
q q p p q H q p t
  
 
0 and j
j j j
H
q
p p p
  
   
  


j
j
H
q
p



 (2nd Hamilton’s
equations)
14
Hamilton’s Principle in Phase Space
So, we have just shown that applying the Hamilton’s Principle in Phase
Space, the resulting dynamical equation is the Hamilton’s Equations.
15
j
j
H
p
q

 


j
j
H
q
p




Hamilton’s Principle in Phase Space
Notice that a full time derivative of an arbitrary function F of can
be put into the integrand of the action integral without affecting the
variations:
Thus, when variation is taken, this constant term will not contribute !
( , , )
q p t
2
1
( , , )
t
j j
t
dF
p q H q p t dt
dt
 
 
 
 




2
2
1
1
( , , )
t
t
j j
t
t
dF
p q H q p t dt dt
dt
 
  
 



 
2
2
1
1
t
t
t
t
const
dF F
  

16
Canonical Transformation
Now , we come back to the question: When is a transformation to
canonical?
,
Q P
( , , ) 0
j j
p q H q p t dt
  
 
 
 
This means that we need to have the following variational conditions:
 We need Hamilton’s Equations to hold in both systems
( , , ) 0
j j
P Q K Q P t dt
  
 
 
 
AND
 For this to be true simultaneously, the integrands must equal
 And, from our previous slide, this is also true if they are differed by
a full time derivative of a function of any of the phase space variables
involved + time:
 
( , , ) ( , , ) , , , ,
j j j j
dF
p q H q p t P Q K Q P t q p Q P t
dt
   


17
Canonical Transformation
F is called the Generating Function for the canonical
transformation:
 As the name implies, different choice of F give us the ability to
generate different Canonical Transformation to get to different
 
( , , ) ( , , ) , , , , (*) ( 9.11)
j j j j
dF
p q H q p t P Q K Q P t q p Q P t G
dt
   


( , , )
( , , )
j j
j j
Q Q q p t
P P q p t





18
 
( , ) , :
j j j j
q p Q P

 
,
j j
Q P
 F is useful in specifying the exact form of the transformation if it
contains half of the old variables and half of the new variables. It,
then, acts as a bridge between the two sets of canonical variables.
Canonical Transformation
 Depending on the form of the generating functions (which pair of
canonical variables being considered as the independent variables for
the Generating Function), we can classify canonical transformations
into four basic types.
F is called the Generating Function for the canonical
transformation:
 
( , , ) ( , , ) , , , , ( 9.11)
(*)
j j j j
dF
p q H q p t P Q K Q P t q p Q P t G
dt
   


( , , )
( , , )
j j
j j
Q Q q p t
P P q p t





19
 
( , ) , :
j j j j
q p Q P

Canonical Transformation: 4 Types
 
1
, ,
j
j
F
p q Q t
q



 
1
, ,
j
j
F
P q Q t
Q

 

1
F
K H
t

 

 
( , , ) ( , , ) , ,
j j j j
dF
p q H q p t P Q K Q P t old new t
dt
   


Type 1:
 
2
, ,
j
j
F
p q P t
q



 
2
, ,
j
j
F
Q q P t
P



2
F
K H
t

 

1( , , )
q
F Q
F t

Type 2:
2 ( , , ) i i
F F t
q Q P
P
 
 
3
, ,
j
j
F
q p Q t
p

 

 
3
, ,
j
j
F
P p Q t
Q

 

3
F
K H
t

 

Type 3:
3 ( , , ) i i
F F t
p q p
Q
 
 
4
, ,
j
j
F
q p P t
p

 

 
4
, ,
j
j
F
Q p P t
P



4
F
K H
t

 

Type 4:
4 ( , , ) i i i i
p
F F t q p P
P Q
  
20
Canonical Transformation: Type 1
Or, we can write the equation in differential form:
Type 1: | F is a function of q and Q + time
Writing out the full time derivative for F, Eq (1) becomes:
1
1
1
j j j
j j
j
j
j
F
H K
t
F
p q q
q
F
P Q Q
Q

  





 

 
 
1( , , )
F F q Q t

(again E’s
sum rule)
1 1 1
0
j
j
j
j
j j
F
dq dQ K H
F
p
q
t
P
Q
d
t
F
    
 
    
     
    
 
   






(old) (new)
21
(write out and multiply the equation by )
, and
j j
j j
dq dQ
q Q
dt dt
 

 dt
Canonical Transformation: Type 1
Since all the are independent, their coefficients must vanish
independently. This gives the following set of equations:
For a given specific expression for , e.g.
 
1
, , ( 1)
j
j
F
p q Q t C
q



,
j j
q Q
 
1
, , ( 2)
j
j
F
P q Q t C
Q

 

1
( 3)
F
K H C
t

 

 
1 , ,
F q Q t  
1 , , j j
F q Q t q Q

. ( 1)
Eq C
 are n relations defining in terms of and they can
be inverted to get the 1st set of the canonical transformation:
j
p , ,
j j
q Q t
 
1
, ,
j j j j
j
F
p q Q t Q Q p
q

   

In the specific example, we have:
22
These are the equations in the Table 9.1 in the book.
Canonical Transformation: Type 1
 
1
, ,
j j j j
j
F
P q Q t q P q
Q

      

1
F
K H
t

 

K H
 
.( 2)
Eq C
 are n relations defining in terms of . Together with
our results for the , the 2nd set of the canonical transformation
can be obtained.
j
P , ,
j j
q Q t
Again, in the specific example, we have:
j
Q
.( 3)
Eq C
 gives the connection between K and H:
(note: is a function of the new variables so that the RHS needs
to be re-express in terms of using the canonical transformation.)
( , , )
K Q P t
,
j j
Q P
23
Canonical Transformation: Type 1
j j
P q
 
K H

In summary, for the specific example of a Type 1 generating function:
We have the following:
Note: this example results in basically swapping the generalized coordinates with
their conjugate momenta in their dynamical role and this exercise demonstrates
that swapping them basically results in the same situation !
j j
Q p

 
1 , , j j
F q Q t q Q

Canonical Transformation
and Transformed Hamiltonian
 Emphasizing the equal role for q and p in Hamiltonian Formalism !
24
Canonical Transformation: Type 2
Substituting into our defining equation for canonical transformation, Eq. (1):
(One can think of as the Legendre transform of in
exchanging the variables Q and P.)
Type 2: , where F2 is a function of q and P + time
2 ( , , ) j j
F F q t Q P
P
 
Again, writing the equation in differential form:
2 2 2
0
j j j j
j j
F F F
p dq Q dP K H dt
q P t
   
  
 
      
     
   
  
 
   
(old) (new)
2
F ( , , )
F q Q t
25
j j j j
dF
p q H P Q K
dt
   


j j j j
p q H P Q
  
 2 2 2
j j j j
j j
F F F
K q P PQ
t q P
  
    
  


 j j
PQ
 
Canonical Transformation: Type 2
Since all the are independent, their coefficients must vanish
independently. This gives the following set of equations:
For a given specific expression for , e.g.
 
2
, ,
j
j
F
p q P t
q



,
j j
q P
 
2
, ,
j
j
F
Q q P t
P



2
F
K H
t

 

 
2 , ,
F q P t  
2 , , j j
F q P t q P

 
2
, ,
j j
j
j j
F
p q P t P
q
P p

 

 
 
2
, ,
j j
j
j j
F
Q q P t q
P
Q q

 

  K H

Thus, the identity transformation is also a canonical transformation !
26
Canonical Transformation: Type 2
Let consider a slightly more general example for type 2:
Going through the same procedure, we will get:
 
2 , , j j
F F q P t Q P
 
2
j
j
j j
j j
F
p
q
f g
p P
q q



 
  
 
 
2
1, ,
j
j
j n
F
Q
P
Q f q q t



  
j
f g
K H P
t t
 
  
 
Notice that the Q equation is the general point transformation in the
configuration space. In order for this to be canonical, the P and H
transformations must be handled carefully (not necessary simple functions).
with      
2 1 1
, , , , , , , ,
n j n
F q P t f q q t P g q q t
 
 
where f and g are function of q’s only + time
27
Canonical Transformation: Summary
(Results are summarized in Table 9.1 on p. 373 in Goldstein .)
The remaining two basic types are Legendre transformation of the remaining
two variables:
3 ( , , ) j j
F F Q t p p
p q q
  
Canonical Transformations form a group with the following properties:
4 ( , , ) &
j j j j
F F t p q Q P q p
p P Q P
    
1. The identity transformation is canonical (type 2 example)
2. If a transformation is canonical, so is its inverse
3. Two successive canonical transformations (“product”) is canonical
4. The product operation is associative
28
Canonical Transformation: 4 Types
 
1
, ,
j
j
F
p t
q
q Q



 
1
, ,
j
j
F
P t
Q
q Q

 

1
F
K H
t

 

 
( , , ) ( , , ) , ,
j j j j
dF
p q H q p t P Q K Q P t old new t
dt
   


( , , )
( , , )
j j
j j
Q Q q p t
P P q p t


Type 1:
 
2
, ,
j
j
F
p t
q
q P



 
2
, ,
j
j
F
Q t
P
q P



2
F
K H
t

 

1( , , )
q
F Q
F t

Type 2:
2 ( , , ) i i
F F t
q Q P
P
 
 
3
, ,
j
j
F
q t
p
p Q

 

 
3
, ,
j
j
F
P t
Q
p Q

 

3
F
K H
t

 

Type 3:
3 ( , , ) i i
F F t
p q p
Q
 
 
4
, ,
j
j
F
q t
p
p P

 

 
4
, ,
j
j
F
Q t
P
p P



4
F
K H
t

 

Type 4:
4 ( , , ) i i i i
p
F F t q p P
P Q
  
var
ind
var
dep
29
Canonical Transformation (more)
If we are given a canonical transformation
How do we find the appropriate generating function F ?
- Let say, we wish to find a generating function of the 1st type, i.e.,
( , , )
(*)
( , , )
j j
j j
Q Q q p t
P P q p t


1( , , )
F F q Q t

(Note: generating function of the other types can be obtain through an
appropriate Legendre transformation.)
- Since our chosen generating function (1st type) depends on q, Q, and t
explicitly, we will rewrite our p and P in terms of q and Q using Eq. (*):
( , , )
j j
p p q Q t
 ( , , )
j j
P P q Q t

30
   
1 1
, , , ,
j i
i i j j j j
P F q Q t F q Q t p
q q Q Q q Q
   
   
 
    
   
   
     
   
Canonical Transformation (more)
Now, from the pair of equations for the Generating Function Derivatives
(Table 9.1), we form the following diff eqs,
can then be obtained by directly integrating the above equations
and combining the resulting expressions.
 
1 , ,
( , , )
j j
j
F q Q t
p p q Q t
q

 

1( , , )
F q Q t
 
1 , ,
( , , )
j j
j
F q Q t
P P q Q t
Q

  

Note: Taking the respective partials of q and Q of the above equations,
31
Canonical Transformation (more)
Now, from the pair of equations for the Generating Function Derivatives
(Table 9.1), we form the following diff eqs,
can then be obtained by directly integrating the above equations
and combining the resulting expressions.
 
1 , ,
( , , )
j j
j
F q Q t
p p q Q t
q

 

1( , , )
F q Q t
 
1 , ,
( , , )
j j
j
F q Q t
P P q Q t
Q

  

Note: Since dF1 is an exact differential wrt q and Q, so the two exps are equal,
2 2
1 1
j
j i
i j
i j i
F F
q Q Q
P p
q
q Q
 
 
 
 
  
 

(We will give the full
list of relations later.)
32
Canonical Transformation (more)
Example (G8.2): We are given the following canonical transformation for a
system with 1 dof:
1( , )
F q Q
( , ) cos sin
( , ) sin cos
Q Q q p q p
P P q p q p
 
 
  
  
(Q and P is being rotated in phase space from q and p by an angle )
We seek a generating function of the 1st kind:
(HW: showing this
trans. is canonical)
33
First, notice that the cross-second derivatives for F1 are equal as required for a
canonical transformation:
1
s
cot
n in
si
1
F Q
p q
Q q Q Q 


  

    
    
   
 
    


  
1
s
cot
n in
si
1
F q
P Q
q Q q q 


   

    
    
   
 
    


   
Canonical Transformation (more)
Now, integrating the two partial differential equations:
 
2
1 cot
sin 2
Qq q
F h Q


   
Comparing these two expression, one possible solution for is,
 
2
1 cot
sin 2
qQ Q
F g q


   
   
2 2
1
1
, cot
sin 2
Qq
F q Q q Q 

   
34
1
F
Rewrite the transformation in terms of q and Q (indep. vars of F1 ):
cos
sin cos
sin sin
Q
q q

 
 
 
   
 
 
cot
sin
Q
q 

  
cot
sin
q
Q 

 
1
( , )
F
p p q Q
q

 

1
( , )
F
P P q Q
Q

  

Canonical Transformation (more)
As we have discussed previously, we can directly use the fact that F2 is the
Legendre transform of F1,
1 2 ( , , ) j j
F F q P t Q P
 
Now, from the CT, we can write Q by q and P (F2 should be in q & P):
35
2 1
( , , ) ( , , )
F q P t F q Q t QP
 
   
2 2
2
1
, cot
sin 2
Qq
F q P q Q QP


    
cos sin
sin cos
Q q p
P q p
 
 
 
 
tan
cos
q
Q P 

 
Now, let say we want to fine a Type-2 Generating function for this
problem…
2 ( , , )
P
F q t
Canonical Transformation (more)
As we have discussed previously, we can directly use the fact that F2 is the
Legendre transform of F1,
1 2 ( , , ) j j
F F q P t Q P
 
This then gives:
36
2 1
( , , ) ( , , )
F q P t F q Q t QP
 
   
2 2
2
1
, cot
sin 2
Qq
F q P q Q QP


    
 
2
2
2
1
, tan tan cot
sin cos 2 cos
q q q
F q P P P q P
  
  
 
    
     
 
    
 
    
 
Q
Canonical Transformation (more)
As we have discussed previously, we can directly use the fact that F2 is the
Legendre transform of F1,
1 2 ( , , ) j j
F F q P t Q P
 
37
 
2
2
2
1
, tan tan cot
sin cos 2 cos
q q q
F q P P P q P
  
  
 
    
     
 
    
 
    
 
2
2
2
tan
cos sin cos
qP q
P 
  
 
2
2 2
1 2
cot tan
2 cos sin cos
q qP
q P
 
  
 
 
  
 
 
 
 
Canonical Transformation (more)
As we have discussed previously, we can directly use the fact that F2 is the
Legendre transform of F1,
1 2 ( , , ) j j
F F q P t Q P
 
38
 
2
2
2
1
, tan tan cot
sin cos 2 cos
q q q
F q P P P q P
  
  
 
    
     
 
    
 
    
 
2 2
cos sin cos
qP q
  
 2
tan
P 

2
2
1
cot
2 cos sin
q
q 
 

2
cos
qP

 2
tan
P 
 
 
 

 
 
 
 
 
Canonical Transformation (more)
As we have discussed previously, we can directly use the fact that F2 is the
Legendre transform of F1,
1 2 ( , , ) j j
F F q P t Q P
 
39
 
2
2
2
1
, tan tan cot
sin cos 2 cos
q q q
F q P P P q P
  
  
 
    
     
 
    
 
    
 
   
2 2
2
1
, tan
cos 2
qP
F q P q P 

  
Finally,
Canonical Transformation (more)
Alternatively, we can substitute F into Eq. (*)G9.11 , results in replacing the
term by in our condition for a canonical transformation,
2 ( , , ) j j
F F q P t Q P
 
j j
P Q

j j
Q P
 
j j j j
dF
p q H Q P K
dt
    


Recall, this procedure gives us the two partial derivatives relations for F2:
 
2 , ,
j
j
F q P t
p
q



 
2 , ,
j
j
F q P t
Q
P



40
[Or, use the Table]
Canonical Transformation (more)
2 ( , , )
F q P t
To solve for in our example, again, we rewrite our given canonical
transformation in q and P explicitly.
Integrating and combining give,
( , ) cos sin
( , ) sin cos
Q Q q p q p
P P q p q p
 
 
  
  
tan
cos
P
q 

 
2
( , )
F
p p q P
q

 
 sin
cos sin
cos cos
P
q q

 
 
 
  
 
 
tan
cos
q
P 

 
2
( , )
F
Q Q q P
P

 

   
2 2
2
1
, tan
cos 2
qP
F q P q P 

  
41
Notice that when ,
Canonical Transformation (more)
0
 
so that our coordinate transformation is just the identity
transformation: and
sin 0
 
Q q
 P p

p, P CANNOT be written explicitly in terms of q and Q !
so our assumption for using the type 1 generating function
(with q and Q as indp var) cannot be fulfilled.
Consequently, blow up and cannot be used to derive the
canonical transformation:
   
2 2
1
1
, cot as 0
sin 2
Qq
F q Q q Q  

      
 
1 ,
F q Q
( , ) cos sin
( , ) sin cos
Q Q q p q p
P P q p q p
 
 
  
  
But, using a Type 2 generating function will work.
42
Similarly, we can see that when ,
Canonical Transformation (more)
2

 
our coordinate transformation is a coordinate switch ,
   
2 2
2
1
, tan as 0
cos 2
qP
F q P q P  

     
cos 0
 
Q p
  P q

p, Q CANNOT be written explicitly in terms of q and P !
so the assumption for using the type 2 generating function
(with q and P as indp var) cannot be fulfilled.
Consequently, blow up and cannot be used to derive the
canonical transformation:
 
2 ,
F q P
( , ) cos sin
( , ) sin cos
Q Q q p q p
P P q p q p
 
 
  
  
But, using a Type 1 generating function will work in this case.
43
Canonical Transformation (more)
- A suitable generating function doesn’t have to conform to only one of
the four types for all the degrees of freedom in a given problem !
For a generating function to be useful, it should depends on half of
the old and half of the new variables
As we have done in the previous example, the procedure in solving
for F involves integrating the partial derivative relations resulted from
“consistence” considerations using the main condition for a canonical
transformation, i.e.,
- There can also be more than one solution for a given CT
( , , ) ( , , ) ( 9.11)
j j j j
dF
p q H q p t P Q K Q P t G
dt
   


- First , we need to choose a suitable set of independent variables for the
generating function.
44
Canonical Transformation (more)
For these partial derivative relations to be solvable, one must be
able to feed-in 2n independent coordinate relations (from the given
CT) in terms of a chosen set of ½ new + ½ old variables.
- In general, one can use ANY one of the four types of generating
functions for the canonical transformation as long as the RHS of the
transformation can be written in terms of the associated pairs of phase
space coordinates: (q, Q, t), (q, P, t), (q, Q, t), or (p, P, t).
- On the other hand, if the transformation is such that the RHS cannot
written in term of a particular pair: (q, Q, t), (q, P, t), (q, Q, t), or (p, P, t),
then that associated type of generating functions cannot be used.
1
T 2
T 3
T 4
T
45
Canonical Transformation: an example with two
dofs
- As we will see, this will involve a mixture of two different basic types.
2 2
2 2
(2 )
(2 )
Q p a
P q b

 
- To see in practice how this might work… Let say, we have the following
transformation involving 2 dofs:
1 1
1 1
(1 )
(1 )
Q q a
P p b


   
1 1 2 2 1 1 2 2
, , , , , ,
q p q p Q P Q P

46
- As an alternative, we can try to use the set as our independent
variables. This will give an F which is a mixture of Type 3 and 1.
Canonical Transformation: an example with two
dofs
- First, let see if we can use the simplest type (type 1) for both dofs, i.e., F
will depend only on the q-Q’s:
1 2 1 2
( , , , , )
F q q Q Q t
Notice that Eq (1a) is a relation linking only , they CANNOT
both be independent variables  Type 1 (only) WON’T work !
1
1 2 2
, , ,
Q
p q Q
1 1
,
q Q
(In Goldstein (p. 377), another alternative was using resulted in a
different generating function which is a mixture of Type 2 and 1.)
1 2 1 2
, , ,
q q P Q
47
2 2
2 2
(2 )
(2 )
Q p a
P q b

 
1 1
1 1
(1 )
(1 )
Q q a
P p b


Now, with this set of ½ new + ½ old independent variable chosen, we need to
derive the set of partial derivative conditions by substituting
Canonical Transformation: an example with two
dofs
From our CT, we can write down the following relations:
Dependent variables
2
2
P q
 
1
1
q Q

1 2 1 2
( , , , , )
F p q Q Q t
1 2 1 2
, , ,
p q Q Q
Independent variables
1 2 1 2
, , ,
q p P P
2
2
p Q

1
1
P p

into Eq. 9.11 (or look them up from the Table).
(*)
48
we will use the following Legendre transformation:
Canonical Transformation: an example with two
dofs
The explicit independent variables (those appear in the differentials) in Eq.
9.11 are the q-Q’s. To do the conversion:
1 2 1 2 1 1
'( , , , , )
F F p q Q Q t q p
 
2 1 2
1
1 2 1 2
, , ,
, , ,
q
q
p
q Q Q
Q Q

(Eq. 9.11’s explicit ind vars)
(our preferred ind vars)
Substituting this into Eq. 9.11, we have:
1 1
p q
 2 2 1 1 2 2
p q H PQ PQ
dF
dt
K
     
 

1 2
1 1 2 2 1 2 1 1 1 1
1 2 1 2
' ' ' '
P
F F F F
p q Q Q q p p
Q PQ K q
p q Q Q
   
 
    
  


  
 
  
 '
F
t



49
2 2 1 1 2 2 1 2 1 2 1 1
1 2 1 2
' ' ' ' '
F F F F F
p q H PQ PQ K p q Q Q q p
p q Q Q t
    
         
    
   
   
Canonical Transformation: an example with two
dofs
Comparing terms, we have the following conditions:
1
1
'
F
q
p

 

2
2
'
F
p
q



'
F
K H
t

 

1
1
'
F
P
Q

 

2
2
'
F
P
Q

 

As advertised, this is a mixture of Type 3 and 1 of the basic CT.
50
1 1 1
1
1
2 2 2 2
2
1
2
1
2 1
2
'
' '
'
'
F
p q q
q
F
PQ Q
F
PQ Q
Q
F
p
F
q
Q
p
H K
p t

       

 








 



  
Canonical Transformation: an example with two
dofs
Substituting our coordinates transformation [Eq. (*)] into the partial
derivative relations, we have :
1 1
1
'
F
q Q
p

   

2 2
2
'
F
p Q
q

 

1 1
1
'
F
P p
Q

   

 
2 2
2
'
F
P q
Q

    

1 1 2 1 2
' ( , , )
F Q p f q Q Q
  
2 2 1 1 2
' ( , , )
F Q q k p Q Q
 
1 1 1 2 2
' ( , , )
F p Q g p q Q
  
2 2 1 2 1
' ( , , )
F q Q h p q Q
 
1 1 2 2
'
F p Q q Q
  
(Note: Choosing instead, Goldstein has . Both
of these are valid generating functions.)
1
1 2 2
, , ,
P
q q Q 1 1 2 2
''
F q P q Q
 
2
2
P q
 
1
1
q Q

2
2
p Q

1
1
P p

51
Canonical Transformation: Review
 
1
, ,
j
j
F
p q Q t
q



 
1
, ,
j
j
F
P q Q t
Q

 

1
F
K H
t

 

 
( , , ) ( , , ) , ,
j j j j
dF
p q H q p t P Q K Q P t old new t
dt
   


( , , )
( , , )
j j
j j
Q Q q p t
P P q p t


Type 1:
 
2
, ,
j
j
F
p q P t
q



 
2
, ,
j
j
F
Q q P t
P



2
F
K H
t

 

1( , , )
F F q Q t

Type 2:
2 ( , , ) i i
F F q P t Q P
 
 
3
, ,
j
j
F
q p Q t
p

 

 
3
, ,
j
j
F
P p Q t
Q

 

3
F
K H
t

 

Type 3:
3 ( , , ) i i
F F p Q t q p
 
 
4
, ,
j
j
F
q p P t
p

 

 
4
, ,
j
j
F
Q p P t
P



4
F
K H
t

 

Type 4:
4 ( , , ) i i i i
F F p P t q p Q P
  
52
Canonical Transformation: Review
- In general, one can use ANY one of the four types of generating
functions for the canonical transformation as long as the
transformation can be written in terms of the associated pairs of phase
space coordinates: (q, Q, t), (q, P, t), (q, Q, t), or (p, P, t).
- On the other hand, if the transformation is such that it cannot be written
in term of a particular pair: (q, Q, t), (q, P, t), (q, Q, t), or (p, P, t), then
that associated type of generating functions cannot be used.
- Generating function is useful as a bridge to link half of the original set
of coordinates (either q or p) to another half of the new set (either Q or P).
- the procedure in solving for F involves integrating the resulting partial
derivative relations from the CT condition
53

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Canonical Tranformation I.pdf

  • 1. PHYS 705: Classical Mechanics Canonical Transformation 1
  • 2. Canonical Variables and Hamiltonian Formalism  are independent variables in phase space on equal footing As we have seen, in the Hamiltonian Formulation of Mechanics, j j j j H H q and p p q          - As long as the new variables formally satisfy this abstract structure (the form of the Hamilton’s Equations. , j j q p  The Hamilton’s Equation for are “symmetric” (symplectic, later) , j j q p  This elegant formal structure of mechanics affords us the freedom in selecting other (may be better) canonical variables as our phase space “coordinates” and “momenta” 2
  • 3. Canonical Transformation Recall (from hw) that the Euler-Lagrange Equation is invariant for a point transformation: Now, the idea is to find a generalized (canonical) transformation in phase space (not config. space) such that the Hamilton’s Equations are invariant ! ( , ) j j Q Q q t  i.e., if we have, 0, j j L d L q dt q                then, 0, j j L d L Q dt Q                ( , , ) ( , , ) j j j j Q Q q p t P P q p t   (In general, we look for transformations which are invertible.) 3
  • 4. Invariance of EL equation for Point Transformation Given: From the inverse point transformation equation , we have, ( , ) j j Q Q q t  and a point transformation: 0, j j d L L dt q q                Formally, calculate: i i i i j i j i j q q L L L Q q Q q Q                 i i j i i i i j j q Q q L L Q L Q q q                    (chain rule) ( , ) i i q q Q t  0 i j q Q     and i j i j q Q Q q        i i i k k k q q q Q Q t          First look at the situation in config. space first:  Need to show: 0 j j d L L dt Q Q                4
  • 5. Invariance of EL equation for Point Transformation Forming the LHS of EL equation with : j j d L L LHS dt Q Q                i i i i i i i j i j i j d dt q q q L L L LHS q Q q Q q Q                                j Q i i i i i i j i j i i i j i j q q L d d L q dt Q dt q q L L q Q q Q q Q                                                  i i i i i i i i j j j i j L L q q q d L L d dt q q dt Q q q Q Q q Q                                                        5
  • 6. Invariance of EL equation for Point Transformation i i i i i i i j j j q q d L L d LHS dt q q L Q q d Q q t Q                                                                0  (Since that’s what given !) 0 i i j j i i j j dq q Q dt Q q q Q Q                 (exchange order of diff) 0 LHS  0 j j d L L dt Q Q                6
  • 7. Canonical Transformation Now, back to phase space with q’s & p’s, we need to find the appropriate (canonical) transformation with which the Hamilton’s Equations are satisfied: such that there exist a transformed Hamiltonian ( , , ) and ( , , ) j j j j Q Q q p t P P q p t   ( , , ) K Q P t j j j j K K Q and P P Q          (The form of the EOM must be invariant in the new coordinates.) ** It is important to further stated that the transformation considered must also be problem-independent meaning that must be canonical coordinates for all system with the same number of dofs. ( , ) Q P 7
  • 8. Canonical Transformation To see what this condition might say about our canonical transformation, we need to go back to the Hamilton’s Principle: Hamilton’s Principle: The motion of the system in configuration space is such that the action I has a stationary value for the actual path, .i.e., 2 1 0 t t I Ldt      Now, we need to extend this to the 2n-dimensional phase space 1. The integrant in the action integral must now be a function of the independent conjugate variable and their derivatives 2. We will consider variations in all 2n phase space coordinates , j j q p , j j q p   8
  • 9. Hamilton’s Principle in Phase Space 1. To rewrite the integrant in terms of , we will utilize the definition for the Hamiltonian (or the inverse Legendre Transform): 2 2 1 1 ( , , ) 0 t t j j t t I Ldt p q H q p t dt               Substituting this into our variation equation, we have 2. The variations are now for n and n : (all q’s and p’s are independent) ' j q s , , , j j j j q p q p   ( , , ) j j j j H p q L L p q H q p t        (Einstein’s sum rule) ' j p s again, we will required the variations for the to be zero at ends j q The rewritten integrant is formally a function of but in fact it does not depend on , i.e. This fact will proved to be useful later on. ( , , ) ( , , ) j j q q p p q H q p t      , , , j j j j q p q p   j p  0 j p     9
  • 10. Hamilton’s Principle in Phase Space Affecting the variations on all 2n variables , we have, , j j q p ' j p s  2 1 0 t j j j j j t j j j j j q q I d d d q q p p d d dt p p                                                                    ' j q s  As in previous discussion, the second term in the sum for can be rewritten using integration by parts: ' j q s  2 2 2 1 1 1 t t t j j j j j j t t t q q q d dt dt q q dt q                                     0 0 j j j j j j q q p p       10
  • 11. Hamilton’s Principle in Phase Space  Previously, we have required the variations for the to be zero at end pts j q So, the first sum with can be written as: ' j q s  1 2 , 0 j t t t q      so that, 2 1 where t j j j j j j t q d q dt q d q dt q                                    2 1 t j j j j j t q q d d d dt q dt q                                    2 2 1 1 t t j j j j t t q q dt q q                  2 1 t j j t q d dt dt q                    11
  • 12.  Note, since , without enforcing the Hamilton’s Principle in Phase Space ' j p s  Now, perform the same integration by parts to the corresponding term for j p 0 j p     2 1 0 t j j t p p        we have, 2 1 where t j j j j j j t p d p dt p d p dt p                                   2 2 2 1 1 1 t t t j j j j j j t t t p p p d dt dt p p dt p                                     variations for to be zero at end points. This gives the result for the 2nd sum in the variation equation for : ' j p s  12
  • 13. Hamilton’s Principle in Phase Space Putting both terms back together, we have: 2 1 0 t j j j j j j j j t I d d d q p dt q dt q p dt p                                                                      1 2 Since both variations are independent, and must vanish independently ! 2 1 1 0 j j d dt q q                0 j j H p q               ( , , ) ( , , ) j j q q p p q H q p t      and j j j j H p q q q            j j H p q      (one of the Hamilton’s equations) 13
  • 14. Hamilton’s Principle in Phase Space 2 1 0 t j j j j j j j j t I d d d q p dt q dt q p dt p                                                                      1 2 2 0 j j d dt p p                0 0 j j H q p               ( , , ) ( , , ) j j q q p p q H q p t      0 and j j j j H q p p p             j j H q p     (2nd Hamilton’s equations) 14
  • 15. Hamilton’s Principle in Phase Space So, we have just shown that applying the Hamilton’s Principle in Phase Space, the resulting dynamical equation is the Hamilton’s Equations. 15 j j H p q      j j H q p    
  • 16. Hamilton’s Principle in Phase Space Notice that a full time derivative of an arbitrary function F of can be put into the integrand of the action integral without affecting the variations: Thus, when variation is taken, this constant term will not contribute ! ( , , ) q p t 2 1 ( , , ) t j j t dF p q H q p t dt dt             2 2 1 1 ( , , ) t t j j t t dF p q H q p t dt dt dt             2 2 1 1 t t t t const dF F     16
  • 17. Canonical Transformation Now , we come back to the question: When is a transformation to canonical? , Q P ( , , ) 0 j j p q H q p t dt          This means that we need to have the following variational conditions:  We need Hamilton’s Equations to hold in both systems ( , , ) 0 j j P Q K Q P t dt          AND  For this to be true simultaneously, the integrands must equal  And, from our previous slide, this is also true if they are differed by a full time derivative of a function of any of the phase space variables involved + time:   ( , , ) ( , , ) , , , , j j j j dF p q H q p t P Q K Q P t q p Q P t dt       17
  • 18. Canonical Transformation F is called the Generating Function for the canonical transformation:  As the name implies, different choice of F give us the ability to generate different Canonical Transformation to get to different   ( , , ) ( , , ) , , , , (*) ( 9.11) j j j j dF p q H q p t P Q K Q P t q p Q P t G dt       ( , , ) ( , , ) j j j j Q Q q p t P P q p t      18   ( , ) , : j j j j q p Q P    , j j Q P  F is useful in specifying the exact form of the transformation if it contains half of the old variables and half of the new variables. It, then, acts as a bridge between the two sets of canonical variables.
  • 19. Canonical Transformation  Depending on the form of the generating functions (which pair of canonical variables being considered as the independent variables for the Generating Function), we can classify canonical transformations into four basic types. F is called the Generating Function for the canonical transformation:   ( , , ) ( , , ) , , , , ( 9.11) (*) j j j j dF p q H q p t P Q K Q P t q p Q P t G dt       ( , , ) ( , , ) j j j j Q Q q p t P P q p t      19   ( , ) , : j j j j q p Q P 
  • 20. Canonical Transformation: 4 Types   1 , , j j F p q Q t q      1 , , j j F P q Q t Q     1 F K H t       ( , , ) ( , , ) , , j j j j dF p q H q p t P Q K Q P t old new t dt       Type 1:   2 , , j j F p q P t q      2 , , j j F Q q P t P    2 F K H t     1( , , ) q F Q F t  Type 2: 2 ( , , ) i i F F t q Q P P     3 , , j j F q p Q t p       3 , , j j F P p Q t Q     3 F K H t     Type 3: 3 ( , , ) i i F F t p q p Q     4 , , j j F q p P t p       4 , , j j F Q p P t P    4 F K H t     Type 4: 4 ( , , ) i i i i p F F t q p P P Q    20
  • 21. Canonical Transformation: Type 1 Or, we can write the equation in differential form: Type 1: | F is a function of q and Q + time Writing out the full time derivative for F, Eq (1) becomes: 1 1 1 j j j j j j j j F H K t F p q q q F P Q Q Q                 1( , , ) F F q Q t  (again E’s sum rule) 1 1 1 0 j j j j j j F dq dQ K H F p q t P Q d t F                                    (old) (new) 21 (write out and multiply the equation by ) , and j j j j dq dQ q Q dt dt     dt
  • 22. Canonical Transformation: Type 1 Since all the are independent, their coefficients must vanish independently. This gives the following set of equations: For a given specific expression for , e.g.   1 , , ( 1) j j F p q Q t C q    , j j q Q   1 , , ( 2) j j F P q Q t C Q     1 ( 3) F K H C t       1 , , F q Q t   1 , , j j F q Q t q Q  . ( 1) Eq C  are n relations defining in terms of and they can be inverted to get the 1st set of the canonical transformation: j p , , j j q Q t   1 , , j j j j j F p q Q t Q Q p q       In the specific example, we have: 22 These are the equations in the Table 9.1 in the book.
  • 23. Canonical Transformation: Type 1   1 , , j j j j j F P q Q t q P q Q          1 F K H t     K H   .( 2) Eq C  are n relations defining in terms of . Together with our results for the , the 2nd set of the canonical transformation can be obtained. j P , , j j q Q t Again, in the specific example, we have: j Q .( 3) Eq C  gives the connection between K and H: (note: is a function of the new variables so that the RHS needs to be re-express in terms of using the canonical transformation.) ( , , ) K Q P t , j j Q P 23
  • 24. Canonical Transformation: Type 1 j j P q   K H  In summary, for the specific example of a Type 1 generating function: We have the following: Note: this example results in basically swapping the generalized coordinates with their conjugate momenta in their dynamical role and this exercise demonstrates that swapping them basically results in the same situation ! j j Q p    1 , , j j F q Q t q Q  Canonical Transformation and Transformed Hamiltonian  Emphasizing the equal role for q and p in Hamiltonian Formalism ! 24
  • 25. Canonical Transformation: Type 2 Substituting into our defining equation for canonical transformation, Eq. (1): (One can think of as the Legendre transform of in exchanging the variables Q and P.) Type 2: , where F2 is a function of q and P + time 2 ( , , ) j j F F q t Q P P   Again, writing the equation in differential form: 2 2 2 0 j j j j j j F F F p dq Q dP K H dt q P t                                    (old) (new) 2 F ( , , ) F q Q t 25 j j j j dF p q H P Q K dt       j j j j p q H P Q     2 2 2 j j j j j j F F F K q P PQ t q P               j j PQ  
  • 26. Canonical Transformation: Type 2 Since all the are independent, their coefficients must vanish independently. This gives the following set of equations: For a given specific expression for , e.g.   2 , , j j F p q P t q    , j j q P   2 , , j j F Q q P t P    2 F K H t       2 , , F q P t   2 , , j j F q P t q P    2 , , j j j j j F p q P t P q P p         2 , , j j j j j F Q q P t q P Q q       K H  Thus, the identity transformation is also a canonical transformation ! 26
  • 27. Canonical Transformation: Type 2 Let consider a slightly more general example for type 2: Going through the same procedure, we will get:   2 , , j j F F q P t Q P   2 j j j j j j F p q f g p P q q             2 1, , j j j n F Q P Q f q q t       j f g K H P t t        Notice that the Q equation is the general point transformation in the configuration space. In order for this to be canonical, the P and H transformations must be handled carefully (not necessary simple functions). with       2 1 1 , , , , , , , , n j n F q P t f q q t P g q q t     where f and g are function of q’s only + time 27
  • 28. Canonical Transformation: Summary (Results are summarized in Table 9.1 on p. 373 in Goldstein .) The remaining two basic types are Legendre transformation of the remaining two variables: 3 ( , , ) j j F F Q t p p p q q    Canonical Transformations form a group with the following properties: 4 ( , , ) & j j j j F F t p q Q P q p p P Q P      1. The identity transformation is canonical (type 2 example) 2. If a transformation is canonical, so is its inverse 3. Two successive canonical transformations (“product”) is canonical 4. The product operation is associative 28
  • 29. Canonical Transformation: 4 Types   1 , , j j F p t q q Q      1 , , j j F P t Q q Q     1 F K H t       ( , , ) ( , , ) , , j j j j dF p q H q p t P Q K Q P t old new t dt       ( , , ) ( , , ) j j j j Q Q q p t P P q p t   Type 1:   2 , , j j F p t q q P      2 , , j j F Q t P q P    2 F K H t     1( , , ) q F Q F t  Type 2: 2 ( , , ) i i F F t q Q P P     3 , , j j F q t p p Q       3 , , j j F P t Q p Q     3 F K H t     Type 3: 3 ( , , ) i i F F t p q p Q     4 , , j j F q t p p P       4 , , j j F Q t P p P    4 F K H t     Type 4: 4 ( , , ) i i i i p F F t q p P P Q    var ind var dep 29
  • 30. Canonical Transformation (more) If we are given a canonical transformation How do we find the appropriate generating function F ? - Let say, we wish to find a generating function of the 1st type, i.e., ( , , ) (*) ( , , ) j j j j Q Q q p t P P q p t   1( , , ) F F q Q t  (Note: generating function of the other types can be obtain through an appropriate Legendre transformation.) - Since our chosen generating function (1st type) depends on q, Q, and t explicitly, we will rewrite our p and P in terms of q and Q using Eq. (*): ( , , ) j j p p q Q t  ( , , ) j j P P q Q t  30
  • 31.     1 1 , , , , j i i i j j j j P F q Q t F q Q t p q q Q Q q Q                                  Canonical Transformation (more) Now, from the pair of equations for the Generating Function Derivatives (Table 9.1), we form the following diff eqs, can then be obtained by directly integrating the above equations and combining the resulting expressions.   1 , , ( , , ) j j j F q Q t p p q Q t q     1( , , ) F q Q t   1 , , ( , , ) j j j F q Q t P P q Q t Q      Note: Taking the respective partials of q and Q of the above equations, 31
  • 32. Canonical Transformation (more) Now, from the pair of equations for the Generating Function Derivatives (Table 9.1), we form the following diff eqs, can then be obtained by directly integrating the above equations and combining the resulting expressions.   1 , , ( , , ) j j j F q Q t p p q Q t q     1( , , ) F q Q t   1 , , ( , , ) j j j F q Q t P P q Q t Q      Note: Since dF1 is an exact differential wrt q and Q, so the two exps are equal, 2 2 1 1 j j i i j i j i F F q Q Q P p q q Q               (We will give the full list of relations later.) 32
  • 33. Canonical Transformation (more) Example (G8.2): We are given the following canonical transformation for a system with 1 dof: 1( , ) F q Q ( , ) cos sin ( , ) sin cos Q Q q p q p P P q p q p           (Q and P is being rotated in phase space from q and p by an angle ) We seek a generating function of the 1st kind: (HW: showing this trans. is canonical) 33 First, notice that the cross-second derivatives for F1 are equal as required for a canonical transformation: 1 s cot n in si 1 F Q p q Q q Q Q                                  1 s cot n in si 1 F q P Q q Q q q                                   
  • 34. Canonical Transformation (more) Now, integrating the two partial differential equations:   2 1 cot sin 2 Qq q F h Q       Comparing these two expression, one possible solution for is,   2 1 cot sin 2 qQ Q F g q           2 2 1 1 , cot sin 2 Qq F q Q q Q       34 1 F Rewrite the transformation in terms of q and Q (indep. vars of F1 ): cos sin cos sin sin Q q q                cot sin Q q      cot sin q Q     1 ( , ) F p p q Q q     1 ( , ) F P P q Q Q     
  • 35. Canonical Transformation (more) As we have discussed previously, we can directly use the fact that F2 is the Legendre transform of F1, 1 2 ( , , ) j j F F q P t Q P   Now, from the CT, we can write Q by q and P (F2 should be in q & P): 35 2 1 ( , , ) ( , , ) F q P t F q Q t QP       2 2 2 1 , cot sin 2 Qq F q P q Q QP        cos sin sin cos Q q p P q p         tan cos q Q P     Now, let say we want to fine a Type-2 Generating function for this problem… 2 ( , , ) P F q t
  • 36. Canonical Transformation (more) As we have discussed previously, we can directly use the fact that F2 is the Legendre transform of F1, 1 2 ( , , ) j j F F q P t Q P   This then gives: 36 2 1 ( , , ) ( , , ) F q P t F q Q t QP       2 2 2 1 , cot sin 2 Qq F q P q Q QP          2 2 2 1 , tan tan cot sin cos 2 cos q q q F q P P P q P                                    Q
  • 37. Canonical Transformation (more) As we have discussed previously, we can directly use the fact that F2 is the Legendre transform of F1, 1 2 ( , , ) j j F F q P t Q P   37   2 2 2 1 , tan tan cot sin cos 2 cos q q q F q P P P q P                                    2 2 2 tan cos sin cos qP q P       2 2 2 1 2 cot tan 2 cos sin cos q qP q P                    
  • 38. Canonical Transformation (more) As we have discussed previously, we can directly use the fact that F2 is the Legendre transform of F1, 1 2 ( , , ) j j F F q P t Q P   38   2 2 2 1 , tan tan cot sin cos 2 cos q q q F q P P P q P                                    2 2 cos sin cos qP q     2 tan P   2 2 1 cot 2 cos sin q q     2 cos qP   2 tan P                  
  • 39. Canonical Transformation (more) As we have discussed previously, we can directly use the fact that F2 is the Legendre transform of F1, 1 2 ( , , ) j j F F q P t Q P   39   2 2 2 1 , tan tan cot sin cos 2 cos q q q F q P P P q P                                        2 2 2 1 , tan cos 2 qP F q P q P      Finally,
  • 40. Canonical Transformation (more) Alternatively, we can substitute F into Eq. (*)G9.11 , results in replacing the term by in our condition for a canonical transformation, 2 ( , , ) j j F F q P t Q P   j j P Q  j j Q P   j j j j dF p q H Q P K dt        Recall, this procedure gives us the two partial derivatives relations for F2:   2 , , j j F q P t p q      2 , , j j F q P t Q P    40 [Or, use the Table]
  • 41. Canonical Transformation (more) 2 ( , , ) F q P t To solve for in our example, again, we rewrite our given canonical transformation in q and P explicitly. Integrating and combining give, ( , ) cos sin ( , ) sin cos Q Q q p q p P P q p q p           tan cos P q     2 ( , ) F p p q P q     sin cos sin cos cos P q q               tan cos q P     2 ( , ) F Q Q q P P         2 2 2 1 , tan cos 2 qP F q P q P      41
  • 42. Notice that when , Canonical Transformation (more) 0   so that our coordinate transformation is just the identity transformation: and sin 0   Q q  P p  p, P CANNOT be written explicitly in terms of q and Q ! so our assumption for using the type 1 generating function (with q and Q as indp var) cannot be fulfilled. Consequently, blow up and cannot be used to derive the canonical transformation:     2 2 1 1 , cot as 0 sin 2 Qq F q Q q Q             1 , F q Q ( , ) cos sin ( , ) sin cos Q Q q p q p P P q p q p           But, using a Type 2 generating function will work. 42
  • 43. Similarly, we can see that when , Canonical Transformation (more) 2    our coordinate transformation is a coordinate switch ,     2 2 2 1 , tan as 0 cos 2 qP F q P q P          cos 0   Q p   P q  p, Q CANNOT be written explicitly in terms of q and P ! so the assumption for using the type 2 generating function (with q and P as indp var) cannot be fulfilled. Consequently, blow up and cannot be used to derive the canonical transformation:   2 , F q P ( , ) cos sin ( , ) sin cos Q Q q p q p P P q p q p           But, using a Type 1 generating function will work in this case. 43
  • 44. Canonical Transformation (more) - A suitable generating function doesn’t have to conform to only one of the four types for all the degrees of freedom in a given problem ! For a generating function to be useful, it should depends on half of the old and half of the new variables As we have done in the previous example, the procedure in solving for F involves integrating the partial derivative relations resulted from “consistence” considerations using the main condition for a canonical transformation, i.e., - There can also be more than one solution for a given CT ( , , ) ( , , ) ( 9.11) j j j j dF p q H q p t P Q K Q P t G dt       - First , we need to choose a suitable set of independent variables for the generating function. 44
  • 45. Canonical Transformation (more) For these partial derivative relations to be solvable, one must be able to feed-in 2n independent coordinate relations (from the given CT) in terms of a chosen set of ½ new + ½ old variables. - In general, one can use ANY one of the four types of generating functions for the canonical transformation as long as the RHS of the transformation can be written in terms of the associated pairs of phase space coordinates: (q, Q, t), (q, P, t), (q, Q, t), or (p, P, t). - On the other hand, if the transformation is such that the RHS cannot written in term of a particular pair: (q, Q, t), (q, P, t), (q, Q, t), or (p, P, t), then that associated type of generating functions cannot be used. 1 T 2 T 3 T 4 T 45
  • 46. Canonical Transformation: an example with two dofs - As we will see, this will involve a mixture of two different basic types. 2 2 2 2 (2 ) (2 ) Q p a P q b    - To see in practice how this might work… Let say, we have the following transformation involving 2 dofs: 1 1 1 1 (1 ) (1 ) Q q a P p b       1 1 2 2 1 1 2 2 , , , , , , q p q p Q P Q P  46
  • 47. - As an alternative, we can try to use the set as our independent variables. This will give an F which is a mixture of Type 3 and 1. Canonical Transformation: an example with two dofs - First, let see if we can use the simplest type (type 1) for both dofs, i.e., F will depend only on the q-Q’s: 1 2 1 2 ( , , , , ) F q q Q Q t Notice that Eq (1a) is a relation linking only , they CANNOT both be independent variables  Type 1 (only) WON’T work ! 1 1 2 2 , , , Q p q Q 1 1 , q Q (In Goldstein (p. 377), another alternative was using resulted in a different generating function which is a mixture of Type 2 and 1.) 1 2 1 2 , , , q q P Q 47 2 2 2 2 (2 ) (2 ) Q p a P q b    1 1 1 1 (1 ) (1 ) Q q a P p b  
  • 48. Now, with this set of ½ new + ½ old independent variable chosen, we need to derive the set of partial derivative conditions by substituting Canonical Transformation: an example with two dofs From our CT, we can write down the following relations: Dependent variables 2 2 P q   1 1 q Q  1 2 1 2 ( , , , , ) F p q Q Q t 1 2 1 2 , , , p q Q Q Independent variables 1 2 1 2 , , , q p P P 2 2 p Q  1 1 P p  into Eq. 9.11 (or look them up from the Table). (*) 48
  • 49. we will use the following Legendre transformation: Canonical Transformation: an example with two dofs The explicit independent variables (those appear in the differentials) in Eq. 9.11 are the q-Q’s. To do the conversion: 1 2 1 2 1 1 '( , , , , ) F F p q Q Q t q p   2 1 2 1 1 2 1 2 , , , , , , q q p q Q Q Q Q  (Eq. 9.11’s explicit ind vars) (our preferred ind vars) Substituting this into Eq. 9.11, we have: 1 1 p q  2 2 1 1 2 2 p q H PQ PQ dF dt K          1 2 1 1 2 2 1 2 1 1 1 1 1 2 1 2 ' ' ' ' P F F F F p q Q Q q p p Q PQ K q p q Q Q                          ' F t    49
  • 50. 2 2 1 1 2 2 1 2 1 2 1 1 1 2 1 2 ' ' ' ' ' F F F F F p q H PQ PQ K p q Q Q q p p q Q Q t                             Canonical Transformation: an example with two dofs Comparing terms, we have the following conditions: 1 1 ' F q p     2 2 ' F p q    ' F K H t     1 1 ' F P Q     2 2 ' F P Q     As advertised, this is a mixture of Type 3 and 1 of the basic CT. 50 1 1 1 1 1 2 2 2 2 2 1 2 1 2 1 2 ' ' ' ' ' F p q q q F PQ Q F PQ Q Q F p F q Q p H K p t                            
  • 51. Canonical Transformation: an example with two dofs Substituting our coordinates transformation [Eq. (*)] into the partial derivative relations, we have : 1 1 1 ' F q Q p       2 2 2 ' F p Q q     1 1 1 ' F P p Q         2 2 2 ' F P q Q        1 1 2 1 2 ' ( , , ) F Q p f q Q Q    2 2 1 1 2 ' ( , , ) F Q q k p Q Q   1 1 1 2 2 ' ( , , ) F p Q g p q Q    2 2 1 2 1 ' ( , , ) F q Q h p q Q   1 1 2 2 ' F p Q q Q    (Note: Choosing instead, Goldstein has . Both of these are valid generating functions.) 1 1 2 2 , , , P q q Q 1 1 2 2 '' F q P q Q   2 2 P q   1 1 q Q  2 2 p Q  1 1 P p  51
  • 52. Canonical Transformation: Review   1 , , j j F p q Q t q      1 , , j j F P q Q t Q     1 F K H t       ( , , ) ( , , ) , , j j j j dF p q H q p t P Q K Q P t old new t dt       ( , , ) ( , , ) j j j j Q Q q p t P P q p t   Type 1:   2 , , j j F p q P t q      2 , , j j F Q q P t P    2 F K H t     1( , , ) F F q Q t  Type 2: 2 ( , , ) i i F F q P t Q P     3 , , j j F q p Q t p       3 , , j j F P p Q t Q     3 F K H t     Type 3: 3 ( , , ) i i F F p Q t q p     4 , , j j F q p P t p       4 , , j j F Q p P t P    4 F K H t     Type 4: 4 ( , , ) i i i i F F p P t q p Q P    52
  • 53. Canonical Transformation: Review - In general, one can use ANY one of the four types of generating functions for the canonical transformation as long as the transformation can be written in terms of the associated pairs of phase space coordinates: (q, Q, t), (q, P, t), (q, Q, t), or (p, P, t). - On the other hand, if the transformation is such that it cannot be written in term of a particular pair: (q, Q, t), (q, P, t), (q, Q, t), or (p, P, t), then that associated type of generating functions cannot be used. - Generating function is useful as a bridge to link half of the original set of coordinates (either q or p) to another half of the new set (either Q or P). - the procedure in solving for F involves integrating the resulting partial derivative relations from the CT condition 53