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math121b:03-11

2020-03-11, Wednesday

Today we talked about section 13-15, the second Bessel function, an aside on Gamma function, the shape of Bessel functions, and some recursion relations.

The explanation from Boas are quite detailed, so I won't repeat it here. A rough outline of the lecture is the following

  1. Recall the Bessel equation.
  2. The formula for Jp(x)J_p(x).
  3. For p>0p>0, the two cases of Jp(x)J_{-p}(x). pp is an integer, or pp is a non-integer.
  4. For pp a non-integer, Jp(x)J_{-p}(x) is linearly independent of Jp(x)J_p(x), since they have different leading order term, one is xpx^p the other is xpx^{-p}.
  5. For pp an integer, Jp(x)=(1)pJp(x), J_{-p}(x) = (-1)^p J_p(x), we get the second differential equation by taking the limit Np(x)=limqpcos(qπ)Jq(x)Jq(x)sin(qπ) N_p(x) = \lim_{q \to p} \frac{\cos(q \pi) J_q(x) - J_{-q}(x) }{ \sin(q \pi) } Then Np(x)N_p(x) is well-define even for pp an integer.

The shape of Jp(x)J_p(x) is an oscillation damping. Try https://www.wolframalpha.com/, with input

BesselJ[0,x]

This will tell you something about J0(x)J_0(x). Change 0 to other number and play with it. The Neumann function Yn(x)Y_n(x) is called 'BesselY[n,x]'. The program will show the real and imaginary part for x<0x < 0. For us, one only need to look at x>0x>0's real part.

For recursion relation, we checked the equation (15.2). Basically, one just plug in the general fomula of Jp(x)J_p(x) and simplify.

Exercises

  • 13.3, 13.4
  • 15.3, 15.7, 15.8
math121b/03-11.txt · Last modified: 2020/03/11 10:35 by pzhou