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University Advanced Quantum Mechanics · topic UAQM-08.02

The Klein step: transmission through a step higher than 2mc^2

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 Klein step: transmission through a step higher than 2mc²: predict a finite change

The Klein step is a sharp electrostatic step met by a Dirac electron; once the step exceeds E + mc², the electron's energy lies in the far side's negative-energy continuum and a finite fraction of its flux is transmitted, however high the step. Use the supplied topic model Y_out = 4*sqrt(max((k-v)*(k+2)*(k+2-v)*k,0))/(sqrt(abs((k-v)*(k+2)))+sqrt(abs((k+2-v)*k)))^2, where Y_out is T, q BY GROUP VELOCITY (dimensionless). The output symbol Y_out is distinct from all input symbols. ^ denotes a power; π = 3.141592653589793; sqrt(x) means √x; abs(x) means |x|; max(a,b) selects the larger value. v is Step height V₀, measured in mc². Keep k (Kinetic energy E − mc²) = 1 mc² fixed. For this exercise use only 3.16 mc² ≤ v ≤ 7.15 mc² 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 v = 4.0378 mc² and 4.5964 mc². Find the signed output change ΔY_out and the average sensitivity ΔY_out/Δv across this interval. State whether the response increases or decreases; distinguish this interval average from a derivative at one point.

Explore the question data

T, q BY GROUP VELOCITY against v

Predictions from the supplied The Klein step: transmission through a step higher than 2mc² 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): T, q BY GROUP VELOCITY

T, q BY GROUP VELOCITY against vPredictions from the supplied The Klein step: transmission through a step higher than 2mc² 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: v: Step height V₀ / mc². Vertical axis: T, q BY GROUP VELOCITY. Exact values are available in the data table below.0.45330.56220.67110.780.88934.0785.1556.2327.31xy

Horizontal axis (x): v: Step height V₀ / mc²

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

Reading 1v: Step height V₀ / mc²: 3.16T, q BY GROUP VELOCITY: 0.4694
Read the exact data as a table
T, q BY GROUP VELOCITY against v — supplied values
v: Step height V₀ / mc²T, q BY GROUP VELOCITY
3.160.4694231892919099
4.15750.7677157339571586
5.1549999999999990.8297318790176073
6.15250.8572776702469411
7.14999999999999950.8728340170656331

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

Show a hint

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

Reveal the worked solution
  1. At v = 4.0378 mc², substitute into Y_out = 4*sqrt(max((k-v)*(k+2)*(k+2-v)*k,0))/(sqrt(abs((k-v)*(k+2)))+sqrt(abs((k+2-v)*k)))^2: Y₀ = 0.754602.
  2. At v = 4.5964 mc², the same fixed-parameter model gives Y₁ = 0.80251.
  3. Signed change: ΔY_out = Y₁ − Y₀ = 0.047908; the input change is Δv = 0.5586 mc².
  4. Average sensitivity is ΔY_out/Δv = 0.0857644 1 per mc². 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 = 0.754602, Y₁ = 0.80251; ΔY_out = 0.047908; average sensitivity = 0.0857644 1 per mc².

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 Klein step: transmission through a step higher than 2mc²: infer an input with uncertainty

The Klein step is a sharp electrostatic step met by a Dirac electron; once the step exceeds E + mc², the electron's energy lies in the far side's negative-energy continuum and a finite fraction of its flux is transmitted, however high the step. Use the supplied topic model Y_out = 4*sqrt(max((k-v)*(k+2)*(k+2-v)*k,0))/(sqrt(abs((k-v)*(k+2)))+sqrt(abs((k+2-v)*k)))^2, where Y_out is T, q BY GROUP VELOCITY (dimensionless). The output symbol Y_out is distinct from all input symbols. ^ denotes a power; π = 3.141592653589793; sqrt(x) means √x; abs(x) means |x|; max(a,b) selects the larger value. v is Step height V₀, measured in mc². Keep k (Kinetic energy E − mc²) = 1 mc² fixed. For this exercise use only 3.16 mc² ≤ v ≤ 7.15 mc² 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 = 0.84408556, with a bounded reading uncertainty ±0.0043123. Treat the model and all fixed inputs as exact for this exercise; the bound is not a standard deviation. First estimate the unknown v by straight-line interpolation between the two endpoint predictions. Then solve the actual model on the stated branch to an absolute input tolerance of 0.000399 mc², 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

T, q BY GROUP VELOCITY against v

Predictions from the supplied The Klein step: transmission through a step higher than 2mc² 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): T, q BY GROUP VELOCITY

T, q BY GROUP VELOCITY against vPredictions from the supplied The Klein step: transmission through a step higher than 2mc² 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: v: Step height V₀ / mc². Vertical axis: T, q BY GROUP VELOCITY. Exact values are available in the data table below.0.45330.56220.67110.780.88934.0785.1556.2327.31xy

Horizontal axis (x): v: Step height V₀ / mc²

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

Reading 1v: Step height V₀ / mc²: 3.16T, q BY GROUP VELOCITY: 0.4694
Read the exact data as a table
T, q BY GROUP VELOCITY against v — supplied values
v: Step height V₀ / mc²T, q BY GROUP VELOCITY
3.160.4694231892919099
4.15750.7677157339571586
5.1549999999999990.8297318790176073
6.15250.8572776702469411
7.14999999999999950.8728340170656331

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(v) = 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(3.16) = 0.469423 and Y_out(7.15) = 0.872834. The target lies between them. On the selected branch the response is strictly increasing.
  2. Endpoint interpolation gives v_line = 3.16 + (0.844086 − 0.469423)(7.15 − 3.16)/(0.872834 − 0.469423) = 6.86566 mc². 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 v = 5.5939 mc²; substituting back gives Y_out = 0.84408556.
  4. The interpolation error in the input is |v_line − v| = 1.27176 mc². This is larger than the requested numerical tolerance.
  5. Invert both limits Y_out = 0.83977326 and 0.84839786. Sort the roots even if the response decreases: 5.44719 mc² ≤ v ≤ 5.75634 mc².
  6. The lower and upper input deviations are 0.146714 mc² and 0.162438 mc². 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 v ≈ 5.5939 mc²; compatible interval [5.44719, 5.75634] mc². Endpoint interpolation gives 6.86566 mc².

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