Chapter 2: Q28P (page 78)
Find the transmission coefficient for the potential in problem 2.27
Short Answer
The transmission coefficient for the potential is
Chapter 2: Q28P (page 78)
Find the transmission coefficient for the potential in problem 2.27
The transmission coefficient for the potential is
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Get started for freeThe transfer matrix. The S- matrix (Problem 2.52) tells you the outgoing amplitudes (B and F)in terms of the incoming amplitudes (A and G) -Equation 2.175For some purposes it is more convenient to work with the transfer matrix, M, which gives you the amplitudes to the right of the potential (F and G)in terms of those to the left (A and b):
(a) Find the four elements of the M-matrix, in terms of the elements of theS-matrix, and vice versa. Express(Equations 2.176and 2.177) in terms of elements of the M-matrix.,
(b) Suppose you have a potential consisting of two isolated pieces (Figure 2.23 ). Show that the M-matrix for the combination is the product of the twoM-matrices for each section separately:
(This obviously generalizes to any number of pieces, and accounts for the usefulness of the M-matrix.)
FIGURE : A potential consisting of two isolated pieces (Problem 2.53 ).
(c) Construct the -matrix for scattering from a single delta-function potential at point :
(d) By the method of part , find the M-matrix for scattering from the double delta function .What is the transmission coefficient for this potential?
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) Compute , , , , for the states and , by explicit integration. Comment; In this and other problems involving the harmonic oscillator it simplifies matters if you introduce the variable and the constant .
b) Check the uncertainty principle for these states.
c) Compute (the average kinetic energy) and (the average potential energy) for these states. (No new integration allowed). Is their sum what you would expect?
Show that E must be exceed the minimum value of ,for every normalizable solution to the time independent Schrodinger equation what is classical analog to this statement?
;
If then and its second derivative always have the same sign. Is it normalized?
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
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