Skip to main content
Course and syllabus guidance

University Physics V · topic UPV-03.07

Measurement outcomes and projection operators

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

Measurement outcomes and projection operators: predict a finite change

A measurement of an observable  can only return a point of its spectrum, and the probability of the outcome aₙ is ⟨ψ|P̂ₙ|ψ⟩ — the squared length of the state's projection onto the entire eigenspace belonging to aₙ. Use the supplied topic model Y_out = sind(a)*sind(a)*(1+sind(2*b)*cosd(f)), where Y_out is WRONG RULE |c₂ + c₃|² (dimensionless). The output symbol Y_out is distinct from all input symbols. ^ denotes a power; π = 3.141592653589793; sind/cosd/tand use degrees. b is Angle β inside the a₂ plane, measured in °. Keep a (Angle α to the a₂ plane) = 55 °; f (Relative phase φ of c₃) = 0 ° fixed. For this exercise use only 47.3625 ° ≤ b ≤ 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 b = 54.639 ° and 59.2695 °. Find the signed output change ΔY_out and the average sensitivity ΔY_out/Δb across this interval. State whether the response increases or decreases; distinguish this interval average from a derivative at one point.

Explore the question data

WRONG RULE |c₂ + c₃|² against b

Predictions from the supplied Measurement outcomes and projection operators 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): WRONG RULE |c₂ + c₃|²

WRONG RULE |c₂ + c₃|² against bPredictions from the supplied Measurement outcomes and projection operators 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: b: Angle β inside the a₂ plane / °. Vertical axis: WRONG RULE |c₂ + c₃|². Exact values are available in the data table below.0.87290.99411.1151.2361.35846.0454.9763.972.8381.76xy

Horizontal axis (x): b: Angle β inside the a₂ plane / °

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

Reading 1b: Angle β inside the a₂ plane / °: 47.36WRONG RULE |c₂ + c₃|²: 1.34
Read the exact data as a table
WRONG RULE |c₂ + c₃|² against b — supplied values
b: Angle β inside the a₂ plane / °WRONG RULE |c₂ + c₃|²
47.36251.3397397421203603
55.6312499999999941.296343666021601
63.91.2012120431417943
72.168751.0622153710365714
80.43750.8908532219294336

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

Show a hint

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

Reveal the worked solution
  1. At b = 54.639 °, substitute into Y_out = sind(a)*sind(a)*(1+sind(2*b)*cosd(f)): Y₀ = 1.3044.
  2. At b = 59.2695 °, the same fixed-parameter model gives Y₁ = 1.26049.
  3. Signed change: ΔY_out = Y₁ − Y₀ = -0.043908; the input change is Δb = 4.6305 °.
  4. Average sensitivity is ΔY_out/Δb = -0.00948234 1 per °. Its negative sign means that this response decreases 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 = 1.3044, Y₁ = 1.26049; ΔY_out = -0.043908; average sensitivity = -0.00948234 1 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

Measurement outcomes and projection operators: infer an input with uncertainty

A measurement of an observable  can only return a point of its spectrum, and the probability of the outcome aₙ is ⟨ψ|P̂ₙ|ψ⟩ — the squared length of the state's projection onto the entire eigenspace belonging to aₙ. Use the supplied topic model Y_out = sind(a)*sind(a)*(1+sind(2*b)*cosd(f)), where Y_out is WRONG RULE |c₂ + c₃|² (dimensionless). The output symbol Y_out is distinct from all input symbols. ^ denotes a power; π = 3.141592653589793; sind/cosd/tand use degrees. b is Angle β inside the a₂ plane, measured in °. Keep a (Angle α to the a₂ plane) = 55 °; f (Relative phase φ of c₃) = 0 ° fixed. For this exercise use only 47.3625 ° ≤ b ≤ 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 = 1.1448519, with a bounded reading uncertainty ±0.029233. Treat the model and all fixed inputs as exact for this exercise; the bound is not a standard deviation. First estimate the unknown b by straight-line interpolation between the two endpoint predictions. Then solve the actual model on the stated branch to an absolute input tolerance of 0.0033075 °, 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

WRONG RULE |c₂ + c₃|² against b

Predictions from the supplied Measurement outcomes and projection operators 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): WRONG RULE |c₂ + c₃|²

WRONG RULE |c₂ + c₃|² against bPredictions from the supplied Measurement outcomes and projection operators 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: b: Angle β inside the a₂ plane / °. Vertical axis: WRONG RULE |c₂ + c₃|². Exact values are available in the data table below.0.87290.99411.1151.2361.35846.0454.9763.972.8381.76xy

Horizontal axis (x): b: Angle β inside the a₂ plane / °

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

Reading 1b: Angle β inside the a₂ plane / °: 47.36WRONG RULE |c₂ + c₃|²: 1.34
Read the exact data as a table
WRONG RULE |c₂ + c₃|² against b — supplied values
b: Angle β inside the a₂ plane / °WRONG RULE |c₂ + c₃|²
47.36251.3397397421203603
55.6312499999999941.296343666021601
63.91.2012120431417943
72.168751.0622153710365714
80.43750.8908532219294336

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(b) = 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(47.3625) = 1.33974 and Y_out(80.4375) = 0.890853. The target lies between them. On the selected branch the response is strictly decreasing.
  2. Endpoint interpolation gives b_line = 47.3625 + (1.14485 − 1.33974)(80.4375 − 47.3625)/(0.890853 − 1.33974) = 61.7223 °. 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 b = 67.5383 °; substituting back gives Y_out = 1.1448519.
  4. The interpolation error in the input is |b_line − b| = 5.81596 °. This is larger than the requested numerical tolerance.
  5. Invert both limits Y_out = 1.1156189 and 1.1740849. Sort the roots even if the response decreases: 65.7166 ° ≤ b ≤ 69.2509 °.
  6. The lower and upper input deviations are 1.82165 ° and 1.71266 °. 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 b ≈ 67.5383 °; compatible interval [65.7166, 69.2509] °. Endpoint interpolation gives 61.7223 °.

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