Probability

Physics World


The heart of quantum mechanics is probability. Quantum mechanics is probabilistic in nature making nature non-deterministic. To illustrate this idea we consider first simple examples from everyday life.  

Below we use a die as an example of an experiment in probability. The cup on the left represents an initial state which is labeled |Y>. Each shake of the cup and toss of the die is considered a different experiment which begins in exactly the same state each time, e.g. the die is sitting on the bottom of the cup at the center with the number “1” facing up. An experiment consists in shaking the cup and tossing the die. Each time the die is tossed it lands with a particular number facing up. The particular outcome of each run of this experiment is labeled with the number. For example: If the cup is shook and then die tossed and lands heads up with the number “6” showing then the state will be referred to as |Y6>. This is referred to as an eigenstate of the system. Shaking the cup and tossing the die is an observation of the system. This observation is assigned an operator that will be denoted zz-x-01.gif (853 bytes) for “Observe the face of the die” and the actual number on the face of the die denoted n. The act of observing places the system into an eigenstate of the operator zz-x-01.gif (853 bytes).  The operator,  zz-x-01.gif (853 bytes), is an example of an observable. An eigenstate is defined as satisfying the following relation when operated on by zz-x-01.gif (853 bytes)

 zz-eq-01.gif (1164 bytes)

For a fare roll of a die the probability is the same for each face of the die landing face up. The probability is 1/6. I.e. P(1) = P(2) = …. = P(6) = 1/6. The initial state of this system is represented as

 zz-eq-02.gif (1940 bytes)

Eq. (2) can be written more simply, and generally, as

 zz-eq-03.gif (1294 bytes)

where, for our example of a fair roll of a die, dn = 1/6 which is also the probability of any particular outcome. In our example of the die it has the same value of all outcomes, i.e.  P(n) = dn. The diagram below illustrates three runs on an experiment which is started from the same initial state |Y>.

 

dice.gif (9304 bytes)

 

zz-x-02.gif (1905 bytes) 

This is a rather simple example of probability since the physical quantity, e.g. the numbers on the face of the die, are integers and the probability is the same for all outcomes. The expectation or average of an observable zz-x-03.gif (845 bytes) with eigenvalues an is defined as

 zz-eq-04.gif (1240 bytes) 

where N is the number of values that an may take on. For the die example above,

 zz-eq-05.gif (1337 bytes) 

The uncertainty, DA, of the observable zz-x-03.gif (845 bytes) is define as

 zz-eq-06.gif (1316 bytes) 

Substituting the equality

zz-eq-07.gif (2081 bytes)

 gives

 zz-eq-08.gif (1224 bytes)

The quantity <A2> is calculated as any other operator [The eivenvalues of A2 are  (an)2 ],  i.e.

 zz-eq-09.gif (1272 bytes)

For the die we get

zz-eq-10.gif (1638 bytes)

Therefore the uncertainty in the number on the face of the die is found to be

zz-eq-11.gif (1445 bytes)

Thus the uncertainty in the number that shows up on the face of the die is a statistical value that does not apply to any single measurement of the number of the face of the die. This should be kept in mind when thinking about Heisenberg's uncertainty relation for position and momentum.


For some quantum states the physical quantities are real numbers that  take on any value in a given range and are therefore not denumerable (i.e. cannot be put into a one-to-one correspondence with the integers). The probability then becomes a probability density. One example, a Gaussian distribution, is shown below

gaussian.gif (3739 bytes)

 


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