TheCanadian said:
I've uploaded a proof of the Heisenberg uncertainty principle from Konishi's QM. I just don't quite understand one part: what is the significance of the discriminant being less than or equal to 0? Wouldn't this just result in ## \alpha = R \pm iZ ##? Why would this be desired in this proof?
I'm not sure about the discriminate, but the equation he derives, true for any [itex]\alpha[/itex], is:
[itex]A - B \alpha + C \alpha^2 \geq 0[/itex]
where [itex]A = \langle (Q - Q_0)^2 \rangle[/itex], [itex]B = \hbar[/itex], and [itex]C = \langle (P- P_0)^2 \rangle[/itex]
So if it's true for every [itex]\alpha[/itex], then in particular, it's true when [itex]\alpha = \frac{B}{2C}[/itex]. Plugging this into the inequality gives:
[itex]A - \frac{B^2}{2C} + \frac{B^2}{4C} \geq 0[/itex]
Which implies [itex]AC - \frac{B^2}{4} \geq 0[/itex], or [itex]\sqrt{A}\sqrt{C} \geq \frac{B}{2}[/itex]
Going back to the definitions of [itex]A[/itex], [itex]B[/itex] and [itex]C[/itex] gives us the uncertainty principle:
[itex]\Delta Q \Delta P \geq \frac{\hbar}{2}[/itex]
where [itex]\Delta Q = \sqrt{\langle (Q - Q_0)^2 \rangle}[/itex] and [itex]\Delta P = \sqrt{\langle (P - P_0)^2 \rangle}[/itex]