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Chapter 9   Lecture 9 - Compatibility of Observables and Communtation Relations

9.1   Compatible and Incompatible Observables

Compatible Observables:
some observables can be sumultaneously measured. Determining more information about one does not affect the information we have about the other. For example x and y , x and x2 and px and py
Incompatible Observables:
for some observables however determining more inromation about one reduces the information we can simultaneously have about the other. For example x and px also x2 and px
The spread in the value of an observable D A ( A operator) is a measure of this information. If D A is large then only a little information is lost, however if D A is small then a lot of information is lost (the uncertainity increases).

The spread is more formally defined as a standard deviation.
D A=<A2>-<A>2     (9.1)
If a pair of observables A and B are compatible then there must exist a set of eigenstates ( Yn ) common to both
AYn=anYn BYn=bnYn     (9.2)
If a pair of observables A and B are incompatible then we cannot find a set of eigenstates ( Yn ) common to both.

9.2   Commutators

We define a commutator of two operators in the following way
[A, B]=AB-BA     (9.3)
it follows that
[A, B]=-[B, A]     (9.4)
For compatible observables Yn is an eigenstate of both
[A, B]Yn=(AB-BA)Yn=ABYn-BAYn
note that ABYn means B operates first on Yn then A operates on the result.
[A, B]Yn=AbnYn-BanYn=anbnYn-bnanYn=0
this means if the following is true then we have compatible operators
[A, B]=0     (9.5)
This is an important test of compatibility.

For incompatible observables
[A, B]Y =ABY-BAY
Y is not an eigenstate of both
ABY¹BAY
So our test for incompatible observables is
[A, B]¹ 0     (9.6)
If [A, B]¹ 0 then there exists an uncertainity relation D AD B .

9.3   Some Important Communtation Relations

9.3.1   Example 1

[x, px]
we recall that
x=x
px=-
x
always remember that operators should operate on a function, so we write
[x, px]Y(x)=- é
ê
ê
ë
x
x
-
x
x
ù
ú
ú
û
Y(x)=- é
ê
ê
ë
x
x
Y(x)-Y(x)
x
x
-x
x
Y(x) ù
ú
ú
û
=Y(x)
[x, px]=     (9.7)
therefore we have uncertainity in the simultaneous measurement of x and px .

9.3.2   Example 2

[H, px]
so in one dimension
H=
px2
2m
+V(x)
so we can say this comutes with px
[H, px]=[V(x), px]
[V(x), px]=- é
ê
ê
ë
V(x)
x
-
d
dx
V(x)-V(x)
x
ù
ú
ú
û
=
x
V(x)
[H, px]=
d
dx
V(x)     (9.8)

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