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University Physics V · topic UPV-19.01

Symmetry, generators, and why anything is conserved at all

Connect the ideas, make your working visible, and test the result. Use the hints when you need a starting point; open the full solution after your attempt.

Further practice

Work through a fresh case before tackling the extension.

Further practice · 01

Symmetry, generators and conservation: predict a finite change

A continuous symmetry of a quantum system is a one-parameter unitary family U(a) = exp(−iaG/ħ) whose Hermitian generator G commutes with the Hamiltonian; that single commutator, [H, G] = 0, is exactly the statement that G is conserved. Use the supplied topic model Y_out = omega*sind(theta), where Y_out is ‖[H, G]‖ / ħ (rad/ns). The output symbol Y_out is distinct from all input symbols. ^ denotes a power; π = 3.141592653589793; sind/cosd/tand use degrees. theta is Tilt θ of H from the G axis, measured in °. Keep omega (Precession rate ω) = 1 rad/ns; t (Time t) = 2 ns fixed. For this exercise use only 9.5625 ° ≤ theta ≤ 80.4375 ° on this continuous branch. A grid of test settings is an input restriction for this exercise, not by itself a claim of physical quantisation. This calculation retains the topic model's stated assumptions; it does not extend them to a different physical setup. Calculate Y_out at theta = 25.155 ° and 35.0775 °. Find the signed output change ΔY_out and the average sensitivity ΔY_out/Δtheta across this interval. State whether the response increases or decreases; distinguish this interval average from a derivative at one point.

Explore the question data

‖[H, G]‖ / ħ against theta

Predictions from the supplied Symmetry, generators and conservation model, with all other inputs fixed as stated in the question. 5 calibration points support a trend comparison; they are not measured data or a straight-line law.

Vertical axis (y): ‖[H, G]‖ / ħ / rad/ns

‖[H, G]‖ / ħ against thetaPredictions from the supplied Symmetry, generators and conservation model, with all other inputs fixed as stated in the question. 5 calibration points support a trend comparison; they are not measured data or a straight-line law. Horizontal axis: theta: Tilt θ of H from the G axis / °. Vertical axis: ‖[H, G]‖ / ħ / rad/ns. Exact values are available in the data table below.0.13330.35470.57610.79751.0196.72825.864564.1483.27xy

Horizontal axis (x): theta: Tilt θ of H from the G axis / °

Axes show the supplied calibration interval; the origin may lie outside the plot.

Reading 1theta: Tilt θ of H from the G axis / °: 9.563‖[H, G]‖ / ħ / rad/ns: 0.1661
Read the exact data as a table
‖[H, G]‖ / ħ against theta — supplied values
theta: Tilt θ of H from the G axis / °‖[H, G]‖ / ħ / rad/ns
9.56250.16612337814576547
27.281250.4583587306212713
450.7071067811865475
62.718750.8887672777860675
80.43750.9861049757675088

These are the supplied values, not a worked answer. No fitted trend is drawn.

Show a hint

Substitute each value of theta separately while keeping every other input fixed, then subtract in the same order.

Reveal the worked solution
  1. At theta = 25.155 °, substitute into Y_out = omega*sind(theta): Y₀ = 0.425069 rad/ns.
  2. At theta = 35.0775 °, the same fixed-parameter model gives Y₁ = 0.574684 rad/ns.
  3. Signed change: ΔY_out = Y₁ − Y₀ = 0.149615 rad/ns; the input change is Δtheta = 9.9225 °.
  4. Average sensitivity is ΔY_out/Δtheta = 0.0150784 rad/ns per °. Its positive sign means that this response increases over the specified interval.
  5. This is a secant slope between two settings. It equals a point derivative only for a locally linear relation or in a justified small-interval limit.

Answer Y₀ = 0.425069 rad/ns, Y₁ = 0.574684 rad/ns; ΔY_out = 0.149615 rad/ns; average sensitivity = 0.0150784 rad/ns per °.

Compare the assumptions, method and units with your attempt. Explain any correction before trying another question.

Extra challenging questions

Work through the linked stages and explain what each result means.

Extra challenging · 01

Symmetry, generators and conservation: infer an input with uncertainty

A continuous symmetry of a quantum system is a one-parameter unitary family U(a) = exp(−iaG/ħ) whose Hermitian generator G commutes with the Hamiltonian; that single commutator, [H, G] = 0, is exactly the statement that G is conserved. Use the supplied topic model Y_out = omega*sind(theta), where Y_out is ‖[H, G]‖ / ħ (rad/ns). The output symbol Y_out is distinct from all input symbols. ^ denotes a power; π = 3.141592653589793; sind/cosd/tand use degrees. theta is Tilt θ of H from the G axis, measured in °. Keep omega (Precession rate ω) = 1 rad/ns; t (Time t) = 2 ns fixed. For this exercise use only 9.5625 ° ≤ theta ≤ 80.4375 ° on this continuous branch. A grid of test settings is an input restriction for this exercise, not by itself a claim of physical quantisation. This calculation retains the topic model's stated assumptions; it does not extend them to a different physical setup. A reading gives Y_out = 0.79649035 rad/ns, with a bounded reading uncertainty ±0.028442 rad/ns. Treat the model and all fixed inputs as exact for this exercise; the bound is not a standard deviation. First estimate the unknown theta by straight-line interpolation between the two endpoint predictions. Then solve the actual model on the stated branch to an absolute input tolerance of 0.0070875 °, using a numerical bracket if required. Find the full input interval consistent with the bounded reading uncertainty and compare it with a symmetric input-error assumption. Do not assume that the supplied calibration points prove monotonicity outside this branch.

Explore the question data

‖[H, G]‖ / ħ against theta

Predictions from the supplied Symmetry, generators and conservation model, with all other inputs fixed as stated in the question. 5 calibration points support a trend comparison; they are not measured data or a straight-line law.

Vertical axis (y): ‖[H, G]‖ / ħ / rad/ns

‖[H, G]‖ / ħ against thetaPredictions from the supplied Symmetry, generators and conservation model, with all other inputs fixed as stated in the question. 5 calibration points support a trend comparison; they are not measured data or a straight-line law. Horizontal axis: theta: Tilt θ of H from the G axis / °. Vertical axis: ‖[H, G]‖ / ħ / rad/ns. Exact values are available in the data table below.0.13330.35470.57610.79751.0196.72825.864564.1483.27xy

Horizontal axis (x): theta: Tilt θ of H from the G axis / °

Axes show the supplied calibration interval; the origin may lie outside the plot.

Reading 1theta: Tilt θ of H from the G axis / °: 9.563‖[H, G]‖ / ħ / rad/ns: 0.1661
Read the exact data as a table
‖[H, G]‖ / ħ against theta — supplied values
theta: Tilt θ of H from the G axis / °‖[H, G]‖ / ħ / rad/ns
9.56250.16612337814576547
27.281250.4583587306212713
450.7071067811865475
62.718750.8887672777860675
80.43750.9861049757675088

These are the supplied values, not a worked answer. No fitted trend is drawn.

Show a hint

The model's endpoint predictions bracket the reading. Solve Y_out(theta) = Y_measured and then solve again at Y_measured − u and Y_measured + u; a nonlinear inverse can give unequal input deviations.

Reveal the worked solution
  1. Endpoint predictions are Y_out(9.5625) = 0.166123 rad/ns and Y_out(80.4375) = 0.986105 rad/ns. The target lies between them. On the selected branch the response is strictly increasing.
  2. Endpoint interpolation gives theta_line = 9.5625 + (0.79649 − 0.166123)(80.4375 − 9.5625)/(0.986105 − 0.166123) = 64.0482 °. This estimates the inverse of the endpoint chord, rather than assuming that chord is the physical model.
  3. Use the actual equation, not the chord, and bracket its root. Evaluating the midpoint and retaining the sign-changing half-interval gives theta = 52.7963 °; substituting back gives Y_out = 0.79649035 rad/ns.
  4. The interpolation error in the input is |theta_line − theta| = 11.2519 °. This is larger than the requested numerical tolerance.
  5. Invert both limits Y_out = 0.76804835 rad/ns and 0.82493235 rad/ns. Sort the roots even if the response decreases: 50.179 ° ≤ theta ≤ 55.5816 °.
  6. The lower and upper input deviations are 2.6173 ° and 2.78538 °. They differ because the inverse response is nonlinear; a symmetric error bar would only be a local approximation. This interval includes reading uncertainty only, not model error or uncertainty in fixed inputs.

Answer theta ≈ 52.7963 °; compatible interval [50.179, 55.5816] °. Endpoint interpolation gives 64.0482 °.

Compare the assumptions, method and units with your attempt. Explain any correction before trying another question.