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Activities

The following two problems ask you to make Fermi estimates. In a good Fermi estimate, you start from basic scientific facts you already know or quantities that you can reasonably estimate based on your life experiences and then reason your way to estimate a quantity that you would not be able guess. You may look up useful conversion factors or constants. Use words, pictures, and equations to explain your reasoning:
  1. Imagine that you send a pea-sized bead of silver through a Stern-Gerlach device oriented to measure the z-component of intrinsic spin. Estimate the total z-component of the intrinsic spin of the ball you would measure in the HIGHLY improbable case that every atom is spin up.
  2. Protons, neutrons, and electrons are all spin-1/2 particles. Give a (very crude) order of magnitude estimate of the number of these particles in your body.
First complete the problem Diagonalization. In that notation:
  1. Find the matrix \(S\) whose columns are \(|\alpha\rangle\) and \(|\beta\rangle\). Show that \(S^{\dagger}=S^{-1}\) by calculating \(S^{\dagger}\) and multiplying it by \(S\). (Does the order of multiplication matter?)
  2. Calculate \(B=S^{-1} C S\). How is the matrix \(E\) related to \(B\) and \(C\)? The transformation that you have just done is an example of a “change of basis”, sometimes called a “similarity transformation.” When the result of a change of basis is a diagonal matrix, the process is called diagonalization.

Small Group Activity

120 min.

Finding Eigenvectors and Eigenvalues
This is a small group activity for groups of 3-4. The students will be given one of 10 matrices. The students are then instructed to find the eigenvectors and eigenvalues for this matrix and record their calculations on their medium-sized whiteboards. In the class discussion that follows students report their finding and compare and contrast the properties of the eigenvalues and eigenvectors they find. Two topics that should specifically discussed are the case of repeated eigenvalues (degeneracy) and complex eigenvectors, e.g., in the case of some pure rotations, special properties of the eigenvectors and eigenvalues of hermitian matrices, common eigenvectors of commuting operators.

Computational Activity

120 min.

Position operator
Students find matrix elements of the position operator \(\hat x\) in a sinusoidal basis. This allows them to express this operator as a matrix, which they can then numerically diagonalize and visualize the eigenfunctions.

Small Group Activity

30 min.

Time Evolution of a Spin-1/2 System
In this small group activity, students solve for the time dependence of two quantum spin 1/2 particles under the influence of a Hamiltonian. Students determine, given a Hamiltonian, which states are stationary and under what circumstances measurement probabilities do change with time.
Students, working in pairs, use their left arms to demonstrate time evolution in spin 1/2 quantum systems.
Students work in small groups to use completeness relations to change the basis of quantum states.
Students use their arms to act out two spin-1/2 quantum states and their inner product.

Small Group Activity

30 min.

Working with Representations on the Ring
  • How to form a state as a column vector in matrix representation.
  • How to do probability calculations on all three representations used for quantum systems in PH426.
  • How to find probabilities for and the resultant state after measuring degenerate eigenvalues.
Students use Mathematica to visualize the probability density distribution for the hydrogen atom orbitals with the option to vary the values of \(n\), \(\ell\), and \(m\).

Small Group Activity

60 min.

Quantum Calculations on the Hydrogen Atom

Students are asked to find eigenvalues, probabilities, and expectation values for \(H\), \(L^2\), and \(L_z\) for a superposition of \(\vert n \ell m \rangle\) states. This can be done on small whiteboards or with the students working in groups on large whiteboards.

Students then work together in small groups to find the matrices that correspond to \(H\), \(L^2\), and \(L_z\) and to redo \(\langle E\rangle\) in matrix notation.

Computational Activity

120 min.

Sinusoidal basis set
Students compute inner products to expand a wave function in a sinusoidal basis set. This activity introduces the inner product for wave functions, and the idea of approximating a wave function using a finite set of basis functions.

Computational Activity

120 min.

Kinetic energy
Students implement a finite-difference approximation for the kinetic energy operator as a matrix, and then use numpy to solve for eigenvalues and eigenstates, which they visualize.

Small Group Activity

30 min.

Finding Matrix Elements
In this small group activity, students multiply a general 3x3 matrix with standard basis row/column vectors to pick out individual matrix elements. Students generate the expressions for the matrix elements in bra/ket notation.
In this lecture, the instructor guides a discussion about translating between bra-ket notation and wavefunction notation for quantum systems.

Small Group Activity

30 min.

Vector Line Integrals (Contour Map)
  • Recall the relationship between the sign of the dot product and the orientation of the vectors.
  • Use graphical methods to estimate the value of a vector line integral.
  • Lay the groundwork for thinking about conservative and non-conservative vector fields.

Small Group Activity

30 min.

Right Angles on Spacetime Diagrams
Students take the inner product of vectors that lie on the spacetime axis to show that they are orthogonal. To do the inner product, students much use the Minkowski metric.

Small Group Activity

30 min.

Which Way is North?
  • Vectors and their magnitudes are geometric quantities, independent of coordinates and choice of basis

Small Group Activity

60 min.

The Wire
  • Practice evaluating line integrals;
  • Practice choosing appropriate coordinates and basis vectors;
  • Introduction to the geometry behind conservative vector fields.

Kinesthetic

30 min.

The Distance Formula (Star Trek)
A short improvisational role-playing skit based on the Star Trek series in which students explore the definition and notation for position vectors, the importance of choosing an origin, and the geometric nature of the distance formula. \[\vert\vec{r}-\vec{r}^\prime\vert=\sqrt{(x-x^\prime)^2+(y-y^\prime)^2-(z-z^\prime)^2}\]
Students practice using inner products to find the components of the cartesian basis vectors in the polar basis and vice versa. Then, students use a completeness relation to change bases or cartesian/polar bases and for different spin bases.

Small Group Activity

30 min.

Using \(pV\) and \(TS\) Plots
  • Work as area under curve in a \(pV\) plot
  • Heat transfer as area under a curve in a \(TS\) plot
  • Reminder that internal energy is a state function
  • Reminder of First Law

Small Group Activity

30 min.

Grey space capsule
In this small group activity, students work out the steady state temperature of an object absorbing and emitting blackbody radiation.
Students consider the dimensions of spin-state kets and position-basis kets.

Small Group Activity

30 min.

Black space capsule
In this activity, students apply the Stefan-Boltzmann equation and the principle of energy balance in steady state to find the steady state temperature of a black object in near-Earth orbit.
  • to perform a magnetic vector potential calculation using the superposition principle;
  • to decide which form of the superposition principle to use, depending on the dimensions of the current density;
  • how to find current from total charge \(Q\), period \(T\), and the geometry of the problem, radius \(R\);
  • to write the distance formula \(\vec{r}-\vec{r'}\) in both the numerator and denominator of the superposition principle in an appropriate mix of cylindrical coordinates and rectangular basis vectors;

Small Group Activity

60 min.

Linear Transformations
Students explore what linear transformation matrices do to vectors. The whole class discussion compares & contrasts several different types of transformations (rotation, flip, projections, “scrinch”, scale) and how the properties of the matrices (the determinant, symmetries, which vectors are unchanged) are related to these transformations.