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University Quantum Field Theory I · topic UQFTI-13.02

Pi_2(q^2) computed in dimensional regularisation

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

The electron loop: Π₂(q²) in dimensional regularisation: predict a finite change

Π₂(q²) is the scalar function that multiplies (q²g^μν − q^μq^ν) in the one-loop electron-loop correction to the photon propagator; computed in d = 4 − ε dimensions it is finite except for a single pole in ε. Use the supplied topic model Y_out = 0.51099895*10^lq, where Y_out is Q FOR AN ELECTRON LOOP (MeV). The output symbol Y_out is distinct from all input symbols. ^ denotes a power; π = 3.141592653589793. lq is Momentum transfer log₁₀(Q/m), dimensionless. Keep lm (Scale log₁₀(μ/m)) = 0 fixed. For this exercise use only -1.3625 ≤ lq ≤ 3.3625 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 lq = -0.323 and 0.3385. Find the signed output change ΔY_out and the average sensitivity ΔY_out/Δlq across this interval. State whether the response increases or decreases; distinguish this interval average from a derivative at one point.

Explore the question data

Q FOR AN ELECTRON LOOP against lq

Predictions from the supplied The electron loop: Π₂(q²) in dimensional regularisation 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): Q FOR AN ELECTRON LOOP / MeV

Q FOR AN ELECTRON LOOP against lqPredictions from the supplied The electron loop: Π₂(q²) in dimensional regularisation 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: lq: Momentum transfer log₁₀(Q/m). Vertical axis: Q FOR AN ELECTRON LOOP / MeV. Exact values are available in the data table below.-47.07270.8588.7906.61224-1.552-0.275812.2763.551xy

Horizontal axis (x): lq: Momentum transfer log₁₀(Q/m)

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

Reading 1lq: Momentum transfer log₁₀(Q/m): -1.363Q FOR AN ELECTRON LOOP / MeV: 0.02218
Read the exact data as a table
Q FOR AN ELECTRON LOOP against lq — supplied values
lq: Momentum transfer log₁₀(Q/m)Q FOR AN ELECTRON LOOP / MeV
-1.36250.02217787890116872
-0.181250000000000130.3366433250745418
0.99999999999999985.109989499999997
2.181249999999999577.56575207403358
3.36251177.3890914669116

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

Show a hint

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

Reveal the worked solution
  1. At lq = -0.323, substitute into Y_out = 0.51099895*10^lq: Y₀ = 0.242896 MeV.
  2. At lq = 0.3385, the same fixed-parameter model gives Y₁ = 1.11409 MeV.
  3. Signed change: ΔY_out = Y₁ − Y₀ = 0.871194 MeV; the input change is Δlq = 0.6615.
  4. Average sensitivity is ΔY_out/Δlq = 1.317 MeV per unit input. 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 = 0.242896 MeV, Y₁ = 1.11409 MeV; ΔY_out = 0.871194 MeV; average sensitivity = 1.317 MeV per unit input.

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

The electron loop: Π₂(q²) in dimensional regularisation: infer an input with uncertainty

Π₂(q²) is the scalar function that multiplies (q²g^μν − q^μq^ν) in the one-loop electron-loop correction to the photon propagator; computed in d = 4 − ε dimensions it is finite except for a single pole in ε. Use the supplied topic model Y_out = 0.51099895*10^lq, where Y_out is Q FOR AN ELECTRON LOOP (MeV). The output symbol Y_out is distinct from all input symbols. ^ denotes a power; π = 3.141592653589793. lq is Momentum transfer log₁₀(Q/m), dimensionless. Keep lm (Scale log₁₀(μ/m)) = 0 fixed. For this exercise use only -1.3625 ≤ lq ≤ 3.3625 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 = 16.911028 MeV, with a bounded reading uncertainty ±2.5333 MeV. Treat the model and all fixed inputs as exact for this exercise; the bound is not a standard deviation. First estimate the unknown lq by straight-line interpolation between the two endpoint predictions. Then solve the actual model on the stated branch to an absolute input tolerance of 0.0004725, 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

Q FOR AN ELECTRON LOOP against lq

Predictions from the supplied The electron loop: Π₂(q²) in dimensional regularisation 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): Q FOR AN ELECTRON LOOP / MeV

Q FOR AN ELECTRON LOOP against lqPredictions from the supplied The electron loop: Π₂(q²) in dimensional regularisation 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: lq: Momentum transfer log₁₀(Q/m). Vertical axis: Q FOR AN ELECTRON LOOP / MeV. Exact values are available in the data table below.-47.07270.8588.7906.61224-1.552-0.275812.2763.551xy

Horizontal axis (x): lq: Momentum transfer log₁₀(Q/m)

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

Reading 1lq: Momentum transfer log₁₀(Q/m): -1.363Q FOR AN ELECTRON LOOP / MeV: 0.02218
Read the exact data as a table
Q FOR AN ELECTRON LOOP against lq — supplied values
lq: Momentum transfer log₁₀(Q/m)Q FOR AN ELECTRON LOOP / MeV
-1.36250.02217787890116872
-0.181250000000000130.3366433250745418
0.99999999999999985.109989499999997
2.181249999999999577.56575207403358
3.36251177.3890914669116

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(lq) = 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(-1.3625) = 0.0221779 MeV and Y_out(3.3625) = 1177.39 MeV. The target lies between them. On the selected branch the response is strictly increasing.
  2. Endpoint interpolation gives lq_line = -1.3625 + (16.911 − 0.0221779)(3.3625 − -1.3625)/(1177.39 − 0.0221779) = -1.29472. 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 lq = 1.51975; substituting back gives Y_out = 16.911028 MeV.
  4. The interpolation error in the input is |lq_line − lq| = 2.81447. This is larger than the requested numerical tolerance.
  5. Invert both limits Y_out = 14.377728 MeV and 19.444328 MeV. Sort the roots even if the response decreases: 1.44927 ≤ lq ≤ 1.58037.
  6. The lower and upper input deviations are 0.0704797 and 0.0606229. 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 lq ≈ 1.51975; compatible interval [1.44927, 1.58037]. Endpoint interpolation gives -1.29472.

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