Hello! My name is Jiho Jun, and I’m from South Korea. I just created my blog using Github pages, and from now on, I’m going to post about what I studied, daily stories, etc. There are so many thi...
[Unclassified] Helium Atom
Ground state of the helium atom Let’s approximate the ground state energy of the helium atom using the variational method. The Hamiltonian of the system is; ignoring the motion of the nucleus (Born...
[Unclassified] Variational method
Variational method Variational method is one way of finding approximations to the ground state, and some excited states. This allows for calculating approximate wavefunctions such as molecular orb...
[Unclassified] Kramers' Relation and Expectation values of Hydrogen Atom
Kramers’ relation Kramers’ relation, named after the Dutch physicist Hans Kramers, is a relationship between expectation values of nearby powers of $r$ for the hydrogen-like atoms: \[\boxed{ \fra...
[Unclassified] Fine Structure of Hydrogen Atom
Introduction The fine structure describes the splitting of the spectral lines of atoms due to electron spin and relativistic corrections to the non-relativistic Schrödinger equation, by usin time-...
[Unclassified] Hydrogen Atom
Introduction The Schrödinger equation allows one to calculate the stationary states and also the time evolution of quantum systems. Exact analytical answers are available for the non-relativistic ...
[Quantum Mechanics 2.2] A Particle in a Box
Introduction In quantum mechanics, the particle in a box model (also known as the infinite potential well or the infinite square well) describes a particle free to move in a small space surrounded...
[Quantum Mechanics 1.9] Ehrenfest's Theorem
Ehrenfest’s theorem Generalized Ehrenfest’s theorem: \[\boxed{ \frac{d}{dt}\expct{\hat{Q}} = \frac{i}{\hbar}\expct{\com{ \hat{\mathcal{H}} }{ \hat{Q} }} + \Expct{\frac{\partial \hat{Q}}{\partial...
[Quantum Mechanics 1.8] Uncertainty Principle
Standard deviation of a measurement For an arbitrary Hermitian operator $\hat{L}$ we can associate a standard deviation: \[ \begin{align*} \sigma_L^2 &=\expct{\hat{L}^2}-\expct{\hat{L}}^2 \nl...