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University Physics II · topic UPII-E2.06

The ideal-gas law

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 Ideal-Gas Law: predict a finite change

The ideal-gas law says that for a dilute gas the pressure, volume, amount of substance and absolute temperature satisfy p V = n R T, so only three of those four quantities can be set independently. Use the supplied topic model Y_out = 8.314*n*t/v, where Y_out is PRESSURE p (kPa). The output symbol Y_out is distinct from all input symbols. ^ denotes a power; π = 3.141592653589793. v is Volume V, measured in L. Keep n (Amount of gas n) = 0.45 mol; t (Absolute temperature T) = 350 K fixed. For this exercise use only 7.4875 L ≤ v ≤ 18.5125 L 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 = 9.913 L and 11.4565 L. 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

PRESSURE p against v

Predictions from the supplied The Ideal-Gas Law 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): PRESSURE p / kPa

PRESSURE p against vPredictions from the supplied The Ideal-Gas Law 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: Volume V / L. Vertical axis: PRESSURE p / kPa. Exact values are available in the data table below.66.5794.69122.8150.9179.17.04610.021315.9818.95xy

Horizontal axis (x): v: Volume V / L

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

Reading 1v: Volume V / L: 7.487PRESSURE p / kPa: 174.9
Read the exact data as a table
PRESSURE p against v — supplied values
v: Volume V / LPRESSURE p / kPa
7.4875174.88547579298833
10.243749999999999127.8296522269677
13100.7273076923077
15.75624999999999883.10702102340343
18.512570.73355840648212

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 = 9.913 L, substitute into Y_out = 8.314*n*t/v: Y₀ = 132.095 kPa.
  2. At v = 11.4565 L, the same fixed-parameter model gives Y₁ = 114.298 kPa.
  3. Signed change: ΔY_out = Y₁ − Y₀ = -17.7967 kPa; the input change is Δv = 1.5435 L.
  4. Average sensitivity is ΔY_out/Δv = -11.5301 kPa per L. Its negative sign means that this response decreases 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 = 132.095 kPa, Y₁ = 114.298 kPa; ΔY_out = -17.7967 kPa; average sensitivity = -11.5301 kPa per L.

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 Ideal-Gas Law: infer an input with uncertainty

The ideal-gas law says that for a dilute gas the pressure, volume, amount of substance and absolute temperature satisfy p V = n R T, so only three of those four quantities can be set independently. Use the supplied topic model Y_out = 8.314*n*t/v, where Y_out is PRESSURE p (kPa). The output symbol Y_out is distinct from all input symbols. ^ denotes a power; π = 3.141592653589793. v is Volume V, measured in L. Keep n (Amount of gas n) = 0.45 mol; t (Absolute temperature T) = 350 K fixed. For this exercise use only 7.4875 L ≤ v ≤ 18.5125 L 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 = 92.132416 kPa, with a bounded reading uncertainty ±3.2098 kPa. 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 0.0011025 L, 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

PRESSURE p against v

Predictions from the supplied The Ideal-Gas Law 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): PRESSURE p / kPa

PRESSURE p against vPredictions from the supplied The Ideal-Gas Law 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: Volume V / L. Vertical axis: PRESSURE p / kPa. Exact values are available in the data table below.66.5794.69122.8150.9179.17.04610.021315.9818.95xy

Horizontal axis (x): v: Volume V / L

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

Reading 1v: Volume V / L: 7.487PRESSURE p / kPa: 174.9
Read the exact data as a table
PRESSURE p against v — supplied values
v: Volume V / LPRESSURE p / kPa
7.4875174.88547579298833
10.243749999999999127.8296522269677
13100.7273076923077
15.75624999999999883.10702102340343
18.512570.73355840648212

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(7.4875) = 174.885 kPa and Y_out(18.5125) = 70.7336 kPa. The target lies between them. On the selected branch the response is strictly decreasing.
  2. Endpoint interpolation gives v_line = 7.4875 + (92.1324 − 174.885)(18.5125 − 7.4875)/(70.7336 − 174.885) = 16.2473 L. 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 = 14.2128 L; substituting back gives Y_out = 92.132416 kPa.
  4. The interpolation error in the input is |v_line − v| = 2.03457 L. This is larger than the requested numerical tolerance.
  5. Invert both limits Y_out = 88.922616 kPa and 95.342216 kPa. Sort the roots even if the response decreases: 13.7343 L ≤ v ≤ 14.7258 L.
  6. The lower and upper input deviations are 0.478488 L and 0.513031 L. 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 ≈ 14.2128 L; compatible interval [13.7343, 14.7258] L. Endpoint interpolation gives 16.2473 L.

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