Chapter 2: Q26P (page 77)
What is the Fourier transform ? Using Plancherel’s theorem shows that.
Short Answer
The Fourier transform for the given function is
Chapter 2: Q26P (page 77)
What is the Fourier transform ? Using Plancherel’s theorem shows that.
The Fourier transform for the given function is
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Get started for freeQuestion: Find the probability current, (Problem 1.14) for the free particle wave function Equation . Which direction does the probability flow?
A particle in the harmonic oscillator potential starts out in the state
a) Find .
b) Construct and
c) Find and . Don't get too excited if they oscillate at the classical frequency; what would it have been had I specified , instead of ?Check that Ehrenfest's theorem holds for this wave function.
d) If you measured the energy of this particle, what values might you get, and with what probabilities?
A particle in the infinite square well has as its initial wave function an even mixture of the first two stationary states:
You can look up the series
and
in math tables. under "Sums of Reciprocal Powers" or "Riemann Zeta Function."
(a) Normalize . (That is, find A. This is very easy, if you exploit the orthonormality of and Recall that, having normalized at , , you can rest assured that is stays normalized—if you doubt this, check it explicitly after doing part(b).
(b) Find and Express the latter as a sinusoidal function of time. To simplify the result, let
c)Compute . Notice that it oscillates in time. What is the angular frequency of the oscillation? What is the amplitude of the oscillation?(If your amplitude is greater than , go directly to jail.
(d) Compute
(e) If you measured the energy of this particle, what values might you get, and what is the probability of getting each of them? Find the expectation value of.How does it compare with E1 and E2
A particle of mass m and kinetic energy E > 0 approaches an abrupt potential drop V0 (Figure 2.19).
(a)What is the probability that it will “reflect” back, if E = V0/3? Hint: This is just like problem 2.34, except that the step now goes down, instead of up.
(b) I drew the figure so as to make you think of a car approaching a cliff, but obviously the probability of “bouncing back” from the edge of a cliff is far smaller than what you got in (a)—unless you’re Bugs Bunny. Explain why this potential does not correctly represent a cliff. Hint: In Figure 2.20 the potential energy of the car drops discontinuously to −V0, as it passes x = 0; would this be true for a falling car?
(c) When a free neutron enters a nucleus, it experiences a sudden drop in potential energy, from V = 0 outside to around −12 MeV (million electron volts) inside. Suppose a neutron, emitted with kinetic energy 4 MeV by a fission event, strikes such a nucleus. What is the probability it will be absorbed, thereby initiating another fission? Hint: You calculated the probability of reflection in part (a); use T = 1 − R to get the probability of transmission through the surface.
A free particle has the initial wave function
where A and a are positive real constants.
(a)Normalize
(b) Find.
(c) Construct ,in the form of an integral.
(d) Discuss the limiting cases very large, and a very small.
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