👨🏫 Overview: This is Part 3 of 3 Parts of your Final Exam/Project.
You must submit your Jupyter notebooks for Part 1 and Part 2 at least 48 hours prior to your appointment for Part 3. You will be given your grade on Part 1 and Part 2 before the oral exam, so that you know what your status is. *For late submission of Part 1 and/or Part 2, I will deduct 2 points per hour.
📖 Rules for "Open Book" Exam: Like all other portions of this exam, this part of the exam is open notes and open library. It is "open internet search" but you (obviously!) can't post questions on an internet discussion board or homework/problem/exam help site. You are not allowed to communicate with your classmates or any other human being (except me) about these questions or your responses, and this includes human beings (singular or plural, known or anonymous) online.
💯 Grading: When we discuss Parts 1 and 2 of the exam, your grade will be "plus", "minus" or "neutral." You can gain, or lose, up to 20 points based on your performance on the oral portion of the exam.
In addition to discussing your answers in Parts 1 and 2, we will discuss the following questions. Each question group has 6 questions in it. I will randomly select one question from each group; we will then discuss that question. Each question will be graded "plus" (5 points) "minus" (0 points) or "neutral" (3 points). You can score up to 20 points on this portion of the exam, and the "default" score would be about 12 points.
📜 Instructions: Be prepared to discuss the following questions/topics. I will randomly select 1 question from each group.
You should be able to explain key characteristics of the systems and the general strategy for (possibly approximate) solving the associated time-independent Schrödinger equation.
\begin{align} \hat{H}_1 &= -\frac{\hbar^2}{2m} \frac{d^2}{dx^2} -\frac{\hbar^2}{2m} \frac{d^2}{dy^2} + V_{a_x}(x) + V_{a_y}(y) \\ \hat{H}_2(\lambda) &= -\frac{\hbar^2}{2m} \frac{d^2}{dx_1^2} -\frac{\hbar^2}{2m} \frac{d^2}{dx_2^2} + V_{a}(x_1) + V_{a}(x_2) - \lambda |x_1 - x_2|\\ \hat{H}_3(\lambda) &= -\tfrac{1}{2} \nabla_1^2 -\tfrac{1}{2} \nabla_2^2- \tfrac{Z}{r_1} - \tfrac{Z}{r_2} + \tfrac{\lambda}{|\mathbf{r}_1 - \mathbf{r}_2|}\\ \hat{H}_4 &= -\frac{\hbar^2}{2m} \frac{d^2}{dx^2} -\frac{\hbar^2}{2m} \frac{d^2}{dy^2} -\frac{\hbar^2}{2m} \frac{d^2}{dz^2} + V_{a}\left(\sqrt{x^2 + y^2 +z^2}\right) \\ \hat{H}_5(\mathbf{R}_B) &= -\tfrac{1}{2} \nabla_{\mathbf{r}}^2 - \tfrac{Z_A}{r} - \tfrac{Z_B}{|\mathbf{r} - \mathbf{R}_B|} \\ \hat{H}_6 &= -\frac{\hbar^2}{2m} \frac{d^2}{dx^2} -\frac{\hbar^2}{2m} \frac{d^2}{dy^2} -\frac{\hbar^2}{2m} \frac{d^2}{dz^2} + V_{a_z}(z) + V_{a_r}(\sqrt{x^2+y^2}) \end{align}where $$ V_a(x) = \begin{cases} +\infty & x\leq 0\\ 0 & 0\lt x \lt a\\ +\infty & a \leq x \end{cases} $$