Electric Potential — Question 6

Section 24-2 · Physics pages 3822–3823

Question 6 Hard measurement bounds propagate through charge times voltage Independent hard bounds are VA = 10.0 ± .5 V, VB = 35.0 ± 1.0 V, and q = 2.00 ± .10 nC. The plus-minus values specify allowed intervals, not standard deviations. A B Two different paths between the same endpoints. (a) Find the full allowed interval for VB −VA. (b) Find the nominal energy change and its exact worst-case interval.
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Question 6 - Solution Hard measurement bounds propagate through charge times voltage A B (a) Method and calculation ∆Vmin = 34.0 −10.5 = 23.5 V. ∆Vmax = 36.0 −9.5 = 26.5 V. (b) Interpretation and further calculation ∆Unominal = (2.00 nC)(25.0 V) = 50.0 nJ. ∆U ∈[(1.90)(23.5), (2.10)(26.5)] nJ = [44.65, 55.65] nJ. Physical check All factors are positive over their intervals, so endpoint multiplication gives the exact extrema without statistical assumptions.

Question 6

Hard measurement bounds propagate through charge times voltage

Independent hard bounds are VA=10.0±.5V_A=10.0\pm.5 V, VB=35.0±1.0V_B=35.0\pm1.0 V, and q=2.00±.10q=2.00\pm.10 nC. The plus-minus values specify allowed intervals, not standard deviations.

Diagram shown in the original SVG worksheet.

  1. Find the full allowed interval for VB−VAV_B-V_A.

  2. Find the nominal energy change and its exact worst-case interval.

Question 6 - Solution

Hard measurement bounds propagate through charge times voltage

Diagram shown in the original SVG worksheet.

(a) Method and calculation

ΔVmin=34.0−10.5=23.5V.\Delta V_{\min}=34.0-10.5=23.5\,\mathrm V.ΔVmax=36.0−9.5=26.5V.\Delta V_{\max}=36.0-9.5=26.5\,\mathrm V.

(b) Interpretation and further calculation

ΔUnominal=(2.00nC)(25.0V)=50.0nJ.\Delta U_{\mathrm{nominal}}=(2.00\,\mathrm{nC})(25.0\,\mathrm V)=50.0\,\mathrm{nJ}.ΔU∈[(1.90)(23.5),(2.10)(26.5)]nJ=[44.65,55.65]nJ.\Delta U\in[(1.90)(23.5),(2.10)(26.5)]\,\mathrm{nJ}=[44.65,55.65]\,\mathrm{nJ}.

Physical check

All factors are positive over their intervals, so endpoint multiplication gives the exact extrema without statistical assumptions.