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University Quantum Field Theory I · unit UQFTI-12

Renormalising QED: the Electron Self-Energy and the Ward-Takahashi Identity

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.

Extra challenging questions

A selection from this pathway. Open a topic below for its complete practice and challenge set.

Extra challenging · 01

Power counting in QED: D = 4 − B − (3/2)F: infer an input with uncertainty

The superficial degree of divergence D of a QED amplitude is the power of the cutoff its loop integral grows as when every loop momentum is scaled up together; for B external photons and F external fermions it is D = 4 − B − (3/2)F at every order. Use the supplied topic model Y_out = 2*nl-2+nb+nf, where Y_out is VERTICES V, ORDER e^V (dimensionless). The output symbol Y_out is distinct from all input symbols. ^ denotes a power; π = 3.141592653589793. nb is External photons B, dimensionless. Keep nf (External fermions F) = 2; nl (Loops L) = 1 fixed. For this exercise use only 0 ≤ nb ≤ 4, at the specified test settings separated by 1. 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 = 4, with a bounded reading uncertainty ±0.32. Treat the model and all fixed inputs as exact for this exercise; the bound is not a standard deviation. Determine every allowed value of nb consistent with that bound. Compare with a straight-line interpolation between the two endpoint predictions, and explain why a fractional setting may be inadmissible. Do not assume that the supplied calibration points prove monotonicity outside this branch.

Explore the question data

VERTICES V, ORDER e^V against nb

Predictions from the supplied Power counting in QED: D = 4 − B − (3/2)F 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): VERTICES V, ORDER e^V

VERTICES V, ORDER e^V against nbPredictions from the supplied Power counting in QED: D = 4 − B − (3/2)F 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: nb: External photons B. Vertical axis: VERTICES V, ORDER e^V. Exact values are available in the data table below.1.842.9245.086.16-0.160.9223.084.16xy

Horizontal axis (x): nb: External photons B

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

Reading 1nb: External photons B: 0VERTICES V, ORDER e^V: 2
Read the exact data as a table
VERTICES V, ORDER e^V against nb — supplied values
nb: External photons BVERTICES V, ORDER e^V
02
13
24
35
46

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

Show a hint

Enumerate the permitted settings in the stated range, evaluate Y_out at each, and retain every setting satisfying |Y_out − Y_measured| ≤ u. The plotted predictions are supplied calibration evidence.

Reveal the worked solution
  1. Endpoint predictions are Y_out(0) = 2 and Y_out(4) = 6. The target lies between them. On the selected branch the response is strictly increasing.
  2. Endpoint interpolation gives nb_line = 0 + (4 − 2)(4 − 0)/(6 − 2) = 2. This estimates the inverse of the endpoint chord, rather than assuming that chord is the physical model.
  3. Evaluate the model at each permitted setting. The central reading corresponds to nb = 2; only the allowed settings 2 lie inside the stated reading bound.
  4. The interpolation error in the input is |nb_line − nb| = 0.
  5. The compatible allowed values span 2 to 2. Values between specified test settings are outside this exercise's input domain even if an interpolation passes through them.
  6. The quoted output bound restricts which specified settings remain compatible. It does not change physical restrictions on quantum numbers or counts, and the chosen grid alone does not establish physical quantisation.

Answer Compatible nb: 2. Endpoint interpolation predicts 2; check admissibility against the discrete settings.

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

Extra challenging · 02

Renormalised QED: Z₁, Z₂, Z₃, δₘ and on-shell conditions: infer an input with uncertainty

A QED renormalisation condition defines a measured quantity and so fixes one counterterm: the electron propagator has its pole at the measured mass with residue 1, the photon propagator has residue 1 at q² = 0, and the vertex equals γ^μ at zero momentum transfer. Use the supplied topic model Y_out = 137.036*(1-0.0035657*uv), where Y_out is BARE 1/α₀ (dimensionless). The output symbol Y_out is distinct from all input symbols. ^ denotes a power; π = 3.141592653589793. uv is Regulator mass, log₁₀(Λ/m), dimensionless. Keep ir (Photon mass, log₁₀(m/λ)) = 9 fixed. For this exercise use only 2 ≤ uv ≤ 22, at the specified test settings separated by 1. 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 = 130.19519, with a bounded reading uncertainty ±0.78181. Treat the model and all fixed inputs as exact for this exercise; the bound is not a standard deviation. Determine every allowed value of uv consistent with that bound. Compare with a straight-line interpolation between the two endpoint predictions, and explain why a fractional setting may be inadmissible. Do not assume that the supplied calibration points prove monotonicity outside this branch.

Explore the question data

BARE 1/α₀ against uv

Predictions from the supplied Renormalised QED: Z₁, Z₂, Z₃, δₘ and on-shell conditions 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): BARE 1/α₀

BARE 1/α₀ against uvPredictions from the supplied Renormalised QED: Z₁, Z₂, Z₃, δₘ and on-shell conditions 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: uv: Regulator mass, log₁₀(Λ/m). Vertical axis: BARE 1/α₀. Exact values are available in the data table below.125.9128.53131.17133.81136.451.26.61217.422.8xy

Horizontal axis (x): uv: Regulator mass, log₁₀(Λ/m)

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

Reading 1uv: Regulator mass, log₁₀(Λ/m): 2BARE 1/α₀: 136.1
Read the exact data as a table
BARE 1/α₀ against uv — supplied values
uv: Regulator mass, log₁₀(Λ/m)BARE 1/α₀
2136.0587414696
7133.6155951436
12131.17244881759999
17128.7293024916
22126.2861561656

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

Show a hint

Enumerate the permitted settings in the stated range, evaluate Y_out at each, and retain every setting satisfying |Y_out − Y_measured| ≤ u. The plotted predictions are supplied calibration evidence.

Reveal the worked solution
  1. Endpoint predictions are Y_out(2) = 136.059 and Y_out(22) = 126.286. The target lies between them. On the selected branch the response is strictly decreasing.
  2. Endpoint interpolation gives uv_line = 2 + (130.195 − 136.059)(22 − 2)/(126.286 − 136.059) = 14. This estimates the inverse of the endpoint chord, rather than assuming that chord is the physical model.
  3. Evaluate the model at each permitted setting. The central reading corresponds to uv = 14; only the allowed settings 13, 14, 15 lie inside the stated reading bound.
  4. The interpolation error in the input is |uv_line − uv| = 5.87767e-7.
  5. The compatible allowed values span 13 to 15. Values between specified test settings are outside this exercise's input domain even if an interpolation passes through them.
  6. The quoted output bound restricts which specified settings remain compatible. It does not change physical restrictions on quantum numbers or counts, and the chosen grid alone does not establish physical quantisation.

Answer Compatible uv: 13, 14, 15. Endpoint interpolation predicts 14; check admissibility against the discrete settings.

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

Extra challenging · 03

The electron self-energy Σ₂(p) at one loop: infer an input with uncertainty

The one-loop electron self-energy Σ₂(p) is the one-particle-irreducible diagram in which the electron emits and reabsorbs one virtual photon: a matrix of the form A(p²) + B(p²)p̸ that, inside the propagator i/(p̸ − m₀ − Σ), moves its pole and its residue. Use the supplied topic model Y_out = 1/t0+2/t0^2+2*ln(1-t0)/t0^3, where Y_out is SLOPE db/d(p²/m²) (× α/4π). The output symbol Y_out is distinct from all input symbols. ^ denotes a power; π = 3.141592653589793; ln(x) means the natural logarithm. t0 is Marker at p²/m², dimensionless. Keep k (O(ε) Dirac terms: 1 kept, 0 dropped) = 1; mu (Scale μ in units of m) = 1 fixed. For this exercise use only -2.14938 ≤ t0 ≤ 0.449375 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 = -0.47146294 × α/4π, with a bounded reading uncertainty ±0.03121 × α/4π. Treat the model and all fixed inputs as exact for this exercise; the bound is not a standard deviation. First estimate the unknown t0 by straight-line interpolation between the two endpoint predictions. Then solve the actual model on the stated branch to an absolute input tolerance of 0.000259875, 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

SLOPE db/d(p²/m²) against t0

Predictions from the supplied The electron self-energy Σ₂(p) at one loop 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): SLOPE db/d(p²/m²) / × α/4π

SLOPE db/d(p²/m²) against t0Predictions from the supplied The electron self-energy Σ₂(p) at one loop 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: t0: Marker at p²/m². Vertical axis: SLOPE db/d(p²/m²) / × α/4π. Exact values are available in the data table below.-1.052-0.8473-0.6425-0.4378-0.2331-2.253-1.552-0.85-0.14830.5533xy

Horizontal axis (x): t0: Marker at p²/m²

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

Reading 1t0: Marker at p²/m²: -2.149SLOPE db/d(p²/m²) / × α/4π: -0.2634
Read the exact data as a table
SLOPE db/d(p²/m²) against t0 — supplied values
t0: Marker at p²/m²SLOPE db/d(p²/m²) / × α/4π
-2.149375-0.2633985125585963
-1.4996875000000003-0.3207986932016391
-0.8500000000000003-0.4117586455208089
-0.20031250000000034-0.5802728154718366
0.4493749999999994-1.021696139100852

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(t0) = 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(-2.14938) = -0.263399 × α/4π and Y_out(0.449375) = -1.0217 × α/4π. The target lies between them. On the selected branch the response is strictly decreasing.
  2. Endpoint interpolation gives t0_line = -2.14938 + (-0.471463 − -0.263399)(0.449375 − -2.14938)/(-1.0217 − -0.263399) = -1.43632. 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 t0 = -0.564138; substituting back gives Y_out = -0.47146294 × α/4π.
  4. The interpolation error in the input is |t0_line − t0| = 0.872183. This is larger than the requested numerical tolerance.
  5. Invert both limits Y_out = -0.50267294 × α/4π and -0.44025294 × α/4π. Sort the roots even if the response decreases: -0.703486 ≤ t0 ≤ -0.442834.
  6. The lower and upper input deviations are 0.139348 and 0.121304. 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 t0 ≈ -0.564138; compatible interval [-0.703486, -0.442834]. Endpoint interpolation gives -1.43632.

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

Extra challenging · 04

Mass renormalisation: δm ∝ m and only logarithmic: infer an input with uncertainty

The self-mass δm = m − m₀ is how far the electron's interaction with its own photon field moves the pole of its propagator; in QED it is proportional to the mass itself and grows only as the logarithm of the cutoff. Use the supplied topic model Y_out = 510.99895*10^k*0.0017421*(4.60517*(lam-k)+15.6583), where Y_out is SELF-MASS δm (keV). The output symbol Y_out is distinct from all input symbols. ^ denotes a power; π = 3.141592653589793. k is Fermion mass log₁₀(m/mₑ), dimensionless. Keep lam (Cutoff log₁₀(Λ/GeV)) = 19 fixed. For this exercise use only -1.575 ≤ k ≤ 1.575 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 = 200.7795 keV, with a bounded reading uncertainty ±29.725 keV. Treat the model and all fixed inputs as exact for this exercise; the bound is not a standard deviation. First estimate the unknown k by straight-line interpolation between the two endpoint predictions. Then solve the actual model on the stated branch to an absolute input tolerance of 0.000315, 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

SELF-MASS δm against k

Predictions from the supplied Mass renormalisation: δm ∝ m and only logarithmic 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): SELF-MASS δm / keV

SELF-MASS δm against kPredictions from the supplied Mass renormalisation: δm ∝ m and only logarithmic 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: k: Fermion mass log₁₀(m/mₑ). Vertical axis: SELF-MASS δm / keV. Exact values are available in the data table below.-125.6740160624713337-1.701-0.8505-2.22e-160.85051.701xy

Horizontal axis (x): k: Fermion mass log₁₀(m/mₑ)

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

Reading 1k: Fermion mass log₁₀(m/mₑ): -1.575SELF-MASS δm / keV: 2.615
Read the exact data as a table
SELF-MASS δm against k — supplied values
k: Fermion mass log₁₀(m/mₑ)SELF-MASS δm / keV
-1.5752.6151717196142745
-0.787500000000000115.505851439902726
-2.220446049250313e-1691.83110566210249
0.7874999999999999543.1839288679553
1.57499999999999953208.6846374056763

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(k) = 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(-1.575) = 2.61517 keV and Y_out(1.575) = 3208.68 keV. The target lies between them. On the selected branch the response is strictly increasing.
  2. Endpoint interpolation gives k_line = -1.575 + (200.78 − 2.61517)(1.575 − -1.575)/(3208.68 − 2.61517) = -1.3803. 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 k = 0.3465; substituting back gives Y_out = 200.7795 keV.
  4. The interpolation error in the input is |k_line − k| = 1.7268. This is larger than the requested numerical tolerance.
  5. Invert both limits Y_out = 171.0545 keV and 230.5045 keV. Sort the roots even if the response decreases: 0.27552 ≤ k ≤ 0.407666.
  6. The lower and upper input deviations are 0.0709804 and 0.0611662. 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 k ≈ 0.3465; compatible interval [0.27552, 0.407666]. Endpoint interpolation gives -1.3803.

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

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