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University Physics II · topic UPII-07.03

Multi-loop circuit strategy

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

Multi-loop circuit strategy: predict a finite change

Multi-loop analysis turns a network that no series-and-parallel reduction can simplify into a single simultaneous-equation system: one unknown current per branch, and one independent junction or loop equation for each of them. Use the supplied topic model Y_out = e2*(e2*(4+r3)-e1*r3)/(16+8*r3), where Y_out is POWER FROM CELL 2 (W). The output symbol Y_out is distinct from all input symbols. ^ denotes a power; π = 3.141592653589793. e2 is Second cell emf ε₂, measured in V. Keep e1 (First cell emf ε₁) = 12 V; r3 (Shared resistance R₃) = 6 Ω fixed. For this exercise use only 3.795 V ≤ e2 ≤ 10.725 V 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 e2 = 5.3196 V and 6.2898 V. Find the signed output change ΔY_out and the average sensitivity ΔY_out/Δe2 across this interval. State whether the response increases or decreases; distinguish this interval average from a derivative at one point.

Explore the question data

POWER FROM CELL 2 against e2

Predictions from the supplied Multi-loop circuit strategy 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): POWER FROM CELL 2 / W

POWER FROM CELL 2 against e2Predictions from the supplied Multi-loop circuit strategy 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: e2: Second cell emf ε₂ / V. Vertical axis: POWER FROM CELL 2 / W. Exact values are available in the data table below.-2.336-0.1961.9444.0846.2243.5185.3897.269.13111xy

Horizontal axis (x): e2: Second cell emf ε₂ / V

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

Reading 1e2: Second cell emf ε₂ / V: 3.795POWER FROM CELL 2 / W: -2.019
Read the exact data as a table
POWER FROM CELL 2 against e2 — supplied values
e2: Second cell emf ε₂ / VPOWER FROM CELL 2 / W
3.795-2.0190585937499996
5.5275-1.4444912109375
7.260.06806249999999936
8.99252.5186025390624995
10.7255.90712890625

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

Show a hint

Substitute each value of e2 separately while keeping every other input fixed, then subtract in the same order.

Reveal the worked solution
  1. At e2 = 5.3196 V, substitute into Y_out = e2*(e2*(4+r3)-e1*r3)/(16+8*r3): Y₀ = -1.56296 W.
  2. At e2 = 6.2898 V, the same fixed-parameter model gives Y₁ = -0.894527 W.
  3. Signed change: ΔY_out = Y₁ − Y₀ = 0.668437 W; the input change is Δe2 = 0.9702 V.
  4. Average sensitivity is ΔY_out/Δe2 = 0.688969 W per V. 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 = -1.56296 W, Y₁ = -0.894527 W; ΔY_out = 0.668437 W; average sensitivity = 0.688969 W per V.

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

Multi-loop circuit strategy: infer an input with uncertainty

Multi-loop analysis turns a network that no series-and-parallel reduction can simplify into a single simultaneous-equation system: one unknown current per branch, and one independent junction or loop equation for each of them. Use the supplied topic model Y_out = e2*(e2*(4+r3)-e1*r3)/(16+8*r3), where Y_out is POWER FROM CELL 2 (W). The output symbol Y_out is distinct from all input symbols. ^ denotes a power; π = 3.141592653589793. e2 is Second cell emf ε₂, measured in V. Keep e1 (First cell emf ε₁) = 12 V; r3 (Shared resistance R₃) = 6 Ω fixed. For this exercise use only 3.795 V ≤ e2 ≤ 10.725 V 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 = 1.0307402 W, with a bounded reading uncertainty ±0.45747 W. Treat the model and all fixed inputs as exact for this exercise; the bound is not a standard deviation. First estimate the unknown e2 by straight-line interpolation between the two endpoint predictions. Then solve the actual model on the stated branch to an absolute input tolerance of 0.000693 V, 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

POWER FROM CELL 2 against e2

Predictions from the supplied Multi-loop circuit strategy 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): POWER FROM CELL 2 / W

POWER FROM CELL 2 against e2Predictions from the supplied Multi-loop circuit strategy 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: e2: Second cell emf ε₂ / V. Vertical axis: POWER FROM CELL 2 / W. Exact values are available in the data table below.-2.336-0.1961.9444.0846.2243.5185.3897.269.13111xy

Horizontal axis (x): e2: Second cell emf ε₂ / V

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

Reading 1e2: Second cell emf ε₂ / V: 3.795POWER FROM CELL 2 / W: -2.019
Read the exact data as a table
POWER FROM CELL 2 against e2 — supplied values
e2: Second cell emf ε₂ / VPOWER FROM CELL 2 / W
3.795-2.0190585937499996
5.5275-1.4444912109375
7.260.06806249999999936
8.99252.5186025390624995
10.7255.90712890625

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(e2) = 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(3.795) = -2.01906 W and Y_out(10.725) = 5.90713 W. The target lies between them. On the selected branch the response is strictly increasing.
  2. Endpoint interpolation gives e2_line = 3.795 + (1.03074 − -2.01906)(10.725 − 3.795)/(5.90713 − -2.01906) = 6.46149 V. 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 e2 = 8.0223 V; substituting back gives Y_out = 1.0307402 W.
  4. The interpolation error in the input is |e2_line − e2| = 1.56081 V. This is larger than the requested numerical tolerance.
  5. Invert both limits Y_out = 0.5732702 W and 1.4882102 W. Sort the roots even if the response decreases: 7.67786 V ≤ e2 ≤ 8.34179 V.
  6. The lower and upper input deviations are 0.344442 V and 0.319487 V. 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 e2 ≈ 8.0223 V; compatible interval [7.67786, 8.34179] V. Endpoint interpolation gives 6.46149 V.

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