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I think the two angular equations on page 136 (<math>\frac{1}{\Theta}\left[\sin\theta\frac{d}{d\theta}\left(\sin\theta\frac{d\Theta}{d\theta}\right)\right]+l(l+1)\sin^2\theta=m^2</math> and <math>\frac{1}{\Phi}\frac{d^2\Phi}{d\phi^2}=-m^2</math>) and the radial equation (<math>\frac{1}{R}\frac{d}{dr}\left(r^2\frac{dR}{dr}\right)-\frac{2mr^2}{\hbar^2}\left[V®-E\right]=l(l+1)</math>) are important since we can use them to find probabilities of finding a particle in a sphere. also since the wave function is a separable functions we should be able to find radial probability density and angular probability density; for example the probability of finding the particle in the volume between r and r+dr.I think for this reasons and the fact that quantum mechanics is all about probabilities, these three equations are of importance.

Also from chapter 3 i would put down equation 3.71(<math>\frac{d}{dt}\left<Q\right>=\frac{i}{\hbar}{\left<[\hat H,\hat Q]\right>+\left<\frac{\partial\hat Q}{\partial t}\right></math>). there was a few homework problem that we had to use this for.

I think, the equation 3.54 on page 108, the momentume space wave function might be important. <math>\displaystyle \Phi(p,t)= \frac1 sqrt{2\pi\hbar} \int exp(\frac{-ipx} {\hbar})\Psi(x,t) dx</math> We can use this equation to obtain the probability that a measurement of momentum would yield a value under a specific condition.

And also the position space wave function on page 108, <math>\displaystyle \Psi(x,t)= \frac1 sqrt{2\pi\hbar} \int exp(\frac{ipx} {\hbar})\Phi(p,t) dp</math> might be easily forgotten.

I think the matrix operators of H and P we did in discussion are worth for the reviews. Especially how to find eigenvalues ,which corresponds to the energy and probility and eigenvectors, which corresponds to the eigenstate of wave function.

I agree with Can about the discussion problem. Also, I think the Schwarz inequality may be useful, I know it has been used a few times in derivations in the book. Presently, it's important for the derivation of the general uncertainty principle. Here is the Schwarz inequality:

<math>\mid\int_{a}^{b}f(x)*g(x)dx\mid\leq\sqrt{\int_{a}^{b}\mid f(x)\mid^2 dx \int_{a}^{b} \mid g(x) \mid^2 dx}</math>