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p = Ψ * ( x , t ) ( i d d x ) Ψ ( x , t ) d x ,

where the quantity in parentheses, sandwiched between the wave functions, is called the momentum operator    in the x -direction. [The momentum operator in [link] is said to be the position-space representation of the momentum operator.] The momentum operator must act (operate) on the wave function to the right, and then the result must be multiplied by the complex conjugate of the wave function on the left, before integration. The momentum operator in the x -direction is sometimes denoted

( p x ) op = i d d x ,

Momentum operators for the y - and z -directions are defined similarly. This operator and many others are derived in a more advanced course in modern physics. In some cases, this derivation is relatively simple. For example, the kinetic energy operator is just

( K ) op = 1 2 m ( v x ) op 2 = ( p x ) op 2 2 m = ( i d d x ) 2 2 m = 2 2 m ( d d x ) ( d d x ) .

Thus, if we seek an expectation value of kinetic energy of a particle in one dimension, two successive ordinary derivatives of the wave function are required before integration.

Expectation-value calculations are often simplified by exploiting the symmetry of wave functions. Symmetric wave functions can be even or odd. An even function    is a function that satisfies

ψ ( x ) = ψ ( x ) .

In contrast, an odd function    is a function that satisfies

ψ ( x ) = - ψ ( x ) .

An example of even and odd functions is shown in [link] . An even function is symmetric about the y -axis. This function is produced by reflecting ψ ( x ) for x >0 about the vertical y -axis. By comparison, an odd function is generated by reflecting the function about the y -axis and then about the x -axis. (An odd function is also referred to as an anti-symmetric function    .)

Two wave functions are plotted as a function of x. The vertical scale runs form -0.5 to +0.5 and the horizontal scale from -4 to 4. The even function is plotted in blue. It is symmetric about the origin, positive for all values of x, and going to zero at the ends. This particular even function has a positive minimum at the origin and maxima on either side. The odd function is zero at the origin and at the ends, negative to the left of the origin, where it has a minimum, and positive to the right, where it has a maximum. The function is antisymmetric, meaning that the negative half is the same shape as the right half, but inverted, that is, generated by reflecting the function about the y-axis and then about the x-axis.
Examples of even and odd wave functions.

In general, an even function times an even function produces an even function. A simple example of an even function is the product x 2 e x 2 (even times even is even). Similarly, an odd function times an odd function produces an even function, such as x sin x (odd times odd is even). However, an odd function times an even function produces an odd function, such as x e x 2 (odd times even is odd). The integral over all space of an odd function is zero, because the total area of the function above the x -axis cancels the (negative) area below it. As the next example shows, this property of odd functions is very useful.

Expectation value (part i)

The normalized wave function of a particle is

ψ ( x ) = e | x | / x 0 / x 0 .

Find the expectation value of position.

Strategy

Substitute the wave function into [link] and evaluate. The position operator introduces a multiplicative factor only, so the position operator need not be “sandwiched.”

Solution

First multiply, then integrate:

x = + d x x | ψ ( x ) | 2 = + d x x | e | x | / x 0 x 0 | 2 = 1 x 0 + d x x e −2 | x | / x 0 = 0 .

Significance

The function in the integrand ( x e −2 | x | / x 0 ) is odd since it is the product of an odd function ( x ) and an even function ( e −2 | x | / x 0 ) . The integral vanishes because the total area of the function about the x -axis cancels the (negative) area below it. The result ( x = 0 ) is not surprising since the probability density function is symmetric about x = 0 .

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Source:  OpenStax, University physics volume 3. OpenStax CNX. Nov 04, 2016 Download for free at http://cnx.org/content/col12067/1.4
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