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Ο =1(1,Ο)+2(2,Ο) with the two coefficients (1,Ο),(2,Ο) C. |
β |
Let us discuss two particular types of evolutions. |
First, letus discuss the Schr¨odingerequationwith diagonalHamiltonmatrix,i.e., with vanish- |
ing off-diagonal elements, |
E 0 |
H = 1 . (51) |
ij 0 E |
2 |
(cid:18) (cid:19) |
In this case, the Schr¨odinger equation decouples and reduces to |
β β |
i~ (1,Ο(t))=E (1,Ο(t)) , i~ (2,Ο(t))=E (2,Ο(t)) , (52) |
1 2 |
βt βt |
resulting in |
βiE1t/~ βiE2t/~ |
(1,Ο(t))=ae , (2,Ο(t))=be , (53) |
with a,b C, a2+ b2 =1. These solutions correspondto stationary states which do not change |
β | | | | |
in time; i.e., the probability to find the system in the two states is constant |
(1,Ο)2 = a2 , (2,Ο)2 = b2 . (54) |
| | | | | | | | |
Second, let us discuss the Schr¨odingerequationwithwith non-vanishingbut equaloff-diagonal |
elements A and with equal diagonal elements E of the Hamiltonian matrix; i.e., |
β |
E A |
H ij = A β E . (55) |
(cid:18) β (cid:19) |
In this case, the Schr¨odinger equation reads |
β |
i~ (1,Ο(t)) = E(1,Ο(t)) A(2,Ο(t)) , (56) |
βt β |
β |
i~ (2,Ο(t)) = E(2,Ο(t)) A(1,Ο(t)) . (57) |
βt β |
Theseequationscanbesolvedinanumberofways. Forexample,takingthesumandthedifference |
of the two, one obtains |
β |
i~ ((1,Ο(t))+(2,Ο(t))) = (E A)((1,Ο(t))+(2,Ο(t))) , (58) |
βt β |
β |
i~ ((1,Ο(t)) (2,Ο(t))) = (E+A)((1,Ο(t)) (2,Ο(t))) . (59) |
βt β β |
The solution are again two stationary states |
(1,Ο(t))+(2,Ο(t)) = ae (i/~)(E A)t , (60) |
β β |
(i/~)(E+A)t |
(1,Ο(t)) (2,Ο(t)) = be . (61) |
β |
β |
16 |
ββ ββ |
|1 ββββββββ βββH βββN |2 |
βi β²β i |
β ββ |
β H Pβ ββ ββ ββ β² β ββ |
P P β² ββ |
ββ ββ P P βP βββ Hβ β ββ ββββββ²β β²βββ ββH |
ββ β² β β |
β |
β β (cid:0)(cid:0)ββ H P P β² β |
β β βββ (cid:0) ββP P P Pββ²β² β |
β β |
N H |
ββ ββ |
Figure 2: The two equivalent geometric arrangements of the ammonia (NH ) molecule. |
3 |
Thus, |
a b |
(1,Ο(t)) = e (i/~)(E A)t+ e (i/~)(E+A)t , (62) |
β β β |
2 2 |
a b |
(2,Ο(t)) = e (i/~)(E A)t e (i/~)(E+A)t . (63) |
β β β |
2 β 2 |
Assume now that initially, i.e., at t = 0, the system was in state ,1) =,Ο(t = 0)). This |
assumption corresponds to (1,Ο(t = 0)) = 1 and (2,Ο(t = 0)) = 0. What is the probability that |
the system will be found in the state 2 at the time t>0, or that it will still be found in the state |
1 at the time t>0? Setting t=0 in equations (62) and (63) yields |
a+b a b |
(1,Ο(t=0))= =1 , (2,Ο(t=0))= β =0 , (64) |
2 2 |
and thus a= b=1. Equations (62) and (63) can now be evaluated at t >0 by substituting 1 for |
a and b, |
e(i/~)At+e (i/~)At |
At |
(i/~)Et β (i/~)Etcos |
(1,Ο(t)) = e =e , (65) |
β 2 β ~ |
(cid:20) (cid:21) |
e(i/~)At (i/~)At |
e At |
β(i/~)Et β β(i/~)Etsin |
(2,Ο(t)) = e β =ie . (66) |
2 ~ |
(cid:20) (cid:21) |
Finally, the probability that the system is in state ,1) and ,2) is |
At At |
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