(Principle of
superposition / Radio tuning / Two useful methods)
In this section, Feynman
discusses the principle of superposition and how it is
related to radio tuning, as well as two useful problem-solving methods (Fourier
series and Green’s function).
1. Principle of superposition:
“This is an example of what is called the principle of superposition
for linear systems, and it is very important (Feynman et al., 1963, section 25–2 Superposition of solutions).”
According to
Feynman, the principle of superposition means that a complicated force
can be broken up into a sum of separate pieces in any convenient manner. To get
the complete answer, we can add the pieces of the solution together just
like the total force is a sum of the pieces. However, Feynman’s
figure is not simply about some simple forces that are in accordance with his
explanation of the superposition principle. Essentially, he is applying the superposition of waves that are ideal
sinusoidal waves. The discussion of radio tuning in the middle of the
section shortly after is also based on the superposition of waves. Similarly,
the Fourier series method that can be used for radio tuning is related to the
superposition of waves.
Feynman
explains that the laws of electricity (instead of laws of electromagnetism),
Maxwell’s equations, which determine the electric field, turn out to be
differential equations that are linear. On the other hand, there are
nonlinear Maxwell’s equations and thus, Maxwell’s equations are linear because
they involve idealizations and approximations. Historically, the Born–Infeld
model is a field theory that is also known as nonlinear electrodynamics
(Born & Infeld, 1934). In chapter 50 of Feynman’s lectures (Volume I), he clarifies that “when we
discussed the transmission of light, we assumed that the induced oscillations
of charges were proportional to the electric field of the light—that the
response was linear. That is indeed a very good approximation (Feynman et al., 1963).”
2.
Radio tuning:
“That is how
radio tuning works; it is again the principle of superposition, combined with a
resonant response (Feynman et al., 1963, section 25–2 Superposition of solutions).”
Feynman says
that a radio station transmits an oscillating electric field of very high
frequency which acts on our radio antenna. For radio tuning, we can adjust the natural frequency of a radio by changing
the L or the C of its circuit. The reception of radio waves is not merely
dependent on the principle of superposition and one radio-frequency.
In chapter 50, Feynman adds that “… the amplitude
of cos ω1t is modulated
with the frequency ω2. We would now say that two new components have
been produced, one at the sum frequency (ω1+ω2), another
at the difference frequency (ω1−ω2) (Feynman et al., 1963).” To have a deeper understanding, there are at least three
fundamental principles involved: generation,
transmission, and reception of radio waves.
Feynman
explains that the amplitude of the oscillating field is changed, modulated, to
carry the signal of the voice, and we are not going to worry about it. Some may
not understand the meaning of modulated
that is used by Feynman in his explanation. This is not surprising because Feynman
was able to fix radios when he was a teenager (Feynman, 1997, pp. 15-21). In
addition, Feynman had some working knowledge of ham radio when he applied it in
Brazil (Feynman, 1997, p. 211). Interestingly, Feynman likely had advanced
knowledge of radio frequency because he was involved in a project related to
radar (Feynman, 1997, p. 102). The word radar
means “RAdio Detection And Ranging.”
3.
Two useful methods:
“Out of the
many possible procedures, there are two especially useful general ways that we
can solve the problem (Feynman et al., 1963, section 25–2 Superposition of solutions).”
Feynman briefly discusses two useful problem-solving
methods that are based on the principle of superposition: Fourier series and
Green’s function. For the Fourier series method, he mentions that practically every curve can be obtained by adding together infinite
numbers of sine waves of different frequencies. This method can also be
used for radio tuning to determine the different frequencies of radio waves
emitted by a radio station. In chapter 50, Feynman elaborates Fourier series in
more detail and explains that this method is applicable to discontinuous
curves. In a sense, our human ear-brain audio system is able to perform Fourier
series to the extent that some people can distinguish the frequencies of a
chord.
Feynman
describes how a force can be likened to a succession of blows (or
impulses) with a hammer and Green’s function is a method of analyzing any
force by putting together the response of impulses. Note that the horizontal
axis of “Fig. 25–4 A complicated force may be treated as a succession of sharp
impulses” was labeled x in the first
edition, but it is later revised to t
that means time. Perhaps Feynman could have revealed the usefulness of Green’s
function in his path integrals. In his Ph.D. thesis,
Feynman has applied the Green’s function method in a forced harmonic oscillator
problem from the point of view of his modified quantum mechanics. Furthermore,
he simply calls it G function and one
of which is Gγ(x,
x′; T).
This could be a reason why Fig. 25-4 was labeled x instead of t.
Questions for discussion:
1. How would you state the principle of superposition?
2. How would you explain the principles of
radio tuning?
3. Why did Feynman discuss
the Fourier Series and Green’s function method?
The moral of the
lesson: we can solve linear problems such as those
related to radio frequencies by using Fourier Series and
Green’s function.
References:
1. Born, M. & Infeld, L. (1933). Foundations of the new
field theory. Nature, 132(3348), 1004-1004.
2. Feynman, R. P. (1997). Surely You’re Joking, Mr. Feynman! :
Adventures of a Curious Character. New York: Norton.
3. Feynman, R. P., Leighton, R. B., & Sands, M. (1963). The Feynman Lectures on Physics, Vol I: Mainly mechanics, radiation, and heat. Reading, MA: Addison-Wesley.
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