Contemporary Challenges: Spring-2025
Week 7 HW : Due 21 Friday

  1. Helium heat capacity S0 5265S

    In class, we assumed that all monatomic gases have 3 degrees of freedom (\(f = 3\)). In this question, we explore the possibility that a monatomic gas might have additional degrees of freedom due to the electrons orbiting the nucleus. To answer this question, you will need to use the equipartition theorem and understand how quantized energy levels affect the application of the equipartition theorem.

    Helium is a monatomic gas at room temperature. An atom of helium can store energy by bumping its electron from its lowest orbital energy level to a higher orbital energy level. In particular, moving an electron from the lowest state to the first excited state would store an energy of 24.6 eV (24.6 electron-volts). Give a quantitative explanation (i.e. by comparing quantities) that shows we can ignore this energy storage mode when calculating the heat capacity of helium gas at ordinary temperatures.

  2. Flute and boundary conditions S0 5265S

    Adapted from Q2M.1 from Chpt 2 of Unit Q, 3rd Edition

    Waves of pressure (sound waves) can travel through air. When there are boundary conditions on a sound wave, the allowed frequencies become discretized (i.e. there is a discrete set of possible values). The same thing happens in quantum mechanics with "matter waves". Before getting fully into quantum mechanics, I want to warm up with musical examples. The PDE for pressure waves in a column of air is \begin{align} \frac{\partial^2p}{\partial t^2}=v_\text{s}^2\frac{\partial^2p}{\partial x^2} \end{align} where \(p\) is the pressure at time \(t\) and position \(x\), and \(v_\text{s}\) is a constant called the the speed of sound in air. We will look for solutions of the form \(p(x,t) = \sin(kx)\cos(wt) + \text{constant}\). The pressure at the open end of a pipe is fixed at 1 atmosphere (this boundary condition is called a node, because pressure doesn't fluctuate). If a pipe has a closed end (which may or may not be true for a flute) the pressure at the closed end can fluctuate up and down (this boundary condition would be called an anti-node).

    1. A concert flute, shown above, is about 2 ft long. Its lowest pitch is middle C (about 262 Hz). On the basis of this evidence, should we consider a flute to be a pipe that is open at both ends, or at just one end? Support your argument with a quantitative comparison. (The end of the flute farthest from the mouth piece is clearly open. The other end of the flute seems to be closed, so if you claim that the flute is open at both ends, you should try to explain where the other open end is.)
    2. What are the lowest three frequencies that can be played on a flute when all the finger holes are closed? Give you answer in units of Hz. Draw these frequencies on a spectrogram (vertical axis represents frequency, horizontal axis is time). Multiple horizonal lines at the same time represent the superposition of multiple frequencies.
    3. Not graded this year - think about this question if you are interested: The orchestra is warming up their instruments. The air in the flute starts at 290 K and increases temperature to 300 K. How seriously does this affect the pitch of the flute? For reference, each step on a chromatic musical scale has a frequency 1.06 times higher than the one below it (1.06 = \(2^{1/12}\)). The conductor of the orchestra will be upset if the flute shifts from its correct frequency by \(\pm 1\%\). The speed of sound in a gas is \(v_s= \sqrt{(\gamma P_0/\rho_0)}\) where \(\gamma\) is a dimensionless constant, \(P_0\) is the ambient pressure and \(\rho_0\) is the gas's density. As the gas warms up, the density of air inside the flute drops (the equilibrium air pressure inside the flute does not change).

  3. Bugle S0 5265S

    In this question, you analyze a frequency spectrum recorded from a bugle (a demonstration might be done during class). We'll compare the real bugle data to a coarse-grain model, and consider what might be missing from the coarse-grain model.

    I found two articles on the internet (links 1 & 2 below) that helped me understand the physics of standing waves in brass instruments.

    1. Brass acoustics, University of New South Wales
    2. Standing wave in trumpet wind column, Nick Drozdoff

    The resonances from a straight, closed-open pipe produces a complex and otherworldly set of superimposed frequencies, as exemplified by the ethereal sound of the didgeridoo. To get the “classical” pattern of frequencies, the shape of the flare and bell is critical (trumpets, trombones and bugles all have a similiar flare and bell).

    The spectrogram shown below was recorded when I played a note on the bugle. This note is a superposition of the bugle's 2nd resonance (240 Hz), the 4th resonance (480 Hz), the 6th resonance (720 Hz) and so forth. Other resonances were not excited when I played this note. (Other resonances could be excited if I played a different note). I am using a standard convention of numbering the lowest resonant frequency as #1, the next highest resonant frequency as #2, and so forth.

    1. Draw graphs showing pressure vs. position for some of the allowed standing waves inside a straight pipe with closed-open boundary conditions. The x-axis represents the distance along the pipe. \(x = 0\) is the mouthpiece (the closed boundary) and \(x = L\) is the open end of the pipe. Draw 4 different graphs. The first graph corresponds to the first resonance. The second graph corresponds to the second resonance and so forth.
    2. For each of the 4 graphs, express the wavelength and frequency of the standing wave in terms of \(L\) and the velocity of sound (symbollic answer). Show that you can deduce the wavelength from your graphs, rather than resorting to a textbook formula.
    3. The fourth resonance of the actual bugle is 480 Hz. Find the length of straight pipe for which the coarse-grained model matches this experimental result. Use this estimated length to determine if the coarse-grained model correctly predicts the other resonant frequencies #1, #2, & #3 (numerical answer).
    4. Make a hand-drawn spectrogram (frequency on the verticle axis, time on the horizontal axis) to show the experimental measurement of the 2nd and 4th resonances, side by side with the coarse-grained model predictions. Speculate on what might cause the decrepancy on between the model and the real world.

    Some helpful figures from the internet articles:

    Figure 1: Approximate pressure distribution for the first four modes in a trumpet. Note that the “turning point” moves outward in the bell as the frequency increases. Mode frequencies are nearly in the ratios 0.8 : 2 : 3 : 4.
    Figure 2: The resonant modes of a brass instrument can be determined by finding the peaks in the acoustic impendance.