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IB Mathematics: Applications and Interpretation HL · 12.7: Mathematical Models · 12.7.2

Exponential models, half-life and logarithmic models Problem set B One question at a time

Try each question on paper first. Open the working a line at a time, then say whether you had it.

Skills

  1. The charge on a capacitor is \(Q=Q_0e^{-0.62t}\), with t in seconds. Find the time for the charge to halve.

    • Half-life = −ln 2 ÷ k
    • = −ln 2 ÷ (−0.62) = 1.12 seconds
  2. Starting from \(P=P_0e^{kt}\), where k > 0, show that the doubling time is \(\dfrac{\ln2}{k}\).

    • Set P = \(2P_0\): \(2P_0=P_0e^{kt}\)
    • Divide by \(P_0\): \(2=e^{kt}\)
    • Take ln: \(kt=\ln2\), so \(t=\ln2/k\)
  3. A soil sample holds 120 units of salt where the background level is 45 units. The excess over the background halves every 5 days. Write the amount as \(S=d+Ae^{kt}\), with t in days.

    • d = 45 and A = 120 − 45 = 75
    • k = −ln 2 ÷ 5 = -0.139
    • \(S=45+75e^{-0.139t}\)
  4. A model \(y=a+b\ln x\) passes through (3, 2.5) and (30, 8). Find a and b.

    • \(2.5=a+b\ln3\) and \(8=a+b\ln30\)
    • Solve the pair on the calculator: a = −0.124, b = 2.39
    • Check: \(-0.124+2.39\ln 30=8\)
  5. A model is \(y=7.9-1.6\ln x\).

    1. (a) Find y when x = 9.

      • \(y=7.9-1.6\ln 9=4.38\)
    2. (b) Find x when y = 3.

      • \(7.9-1.6\ln x=3\)
      • Solve for x: x = 21.4

In context

  1. A tank of water is heated to 70°C in a cellar at 15°C. The temperature above the cellar halves every 45 minutes, where t is in minutes.

    1. (a) Find a model \(T=d+Ae^{kt}\) for the temperature.

      • d = 15, A = 70 − 15 = 55, k = −ln 2 ÷ 45 = -0.0154
      • \(T=15+55e^{-0.0154t}\)
    2. (b) Find when the temperature falls to 25°C.

      • \(15+55e^{-0.0154t}=25\)
      • Solve for t: t = 111 minutes
  2. A sample of iodine-131 has a mass of 250 g at t = 0, where t is in days. Its mass halves every 8 days.

    1. (a) Write a model \(M=Ae^{kt}\) for the mass.

      • Background 0, so d = 0 and A = 250
      • k = −ln 2 ÷ 8 = -0.0866
      • \(M=250e^{-0.0866t}\)
    2. (b) Find the mass left after 20 days.

      • t = 20: \(M=250e^{-0.0866\times20}=44.2\)
  3. The temperature T°C of a lake at depth d metres is modelled by \(T=a+b\ln d\). It is 18.5°C at 3 m and 9°C at 25 m.

    1. (a) Find a and b.

      • \(18.5=a+b\ln 3\) and \(9=a+b\ln 25\)
      • Solve the pair: a = 23.4, b = −4.48
    2. (b) Find the temperature at 10 m deep.

      • \(23.4-4.48\ln 10=13.1\)
    3. (c) Find the depth at which the temperature is 12°C.

      • \(23.4-4.48\ln x=12\)
      • Solve for x: x = 12.8
  4. The population of a town increases by 2.4% each year. It is modelled by \(P=P_0e^{kt}\), where t is in years.

    1. (a) Find k.

      • \(e^k=1.024,\ k=\ln1.024=0.0237\)
    2. (b) Find the time for the population to multiply by 2.5.

      • \(e^{0.0237t}=2.5\)
      • Solve for t: t = 38.6
  5. A fossil shell has 28% of the carbon-14 of a living shell. The half-life of carbon-14 is 5730 years. The amount is \(M=M_0e^{kt}\), where t is in years.

    1. (a) Find k.

      • \(k=-\ln2\div5730=-0.000121\)
    2. (b) Find the age of the shell.

      • \(e^{-0.000121t}=0.28\)
      • Solve for t: t = 10500

Stretch

  1. The graph shows the depth D cm of water in a draining pool t hours after the plug is pulled. It is modelled by \(D=d+Ae^{kt}\).

    51015201020304050607080tDD(0, 70)(6, 25)
    1. (a) Write down d and A.

      • The curve levels off at 10, so d = 10. At x = 0 the value is 70, so A = 70 − 10 = 60
    2. (b) Find k.

      • \(25=10+60e^{6k}\)
      • \(e^{6k}=15\div60\), so k = ln(0.25) ÷ 6 = -0.231
    3. (c) Find D when t = 15.

      • \(10+60e^{-0.231\times15}=11.9\)
  2. A model is \(y=a+b\ln x\).

    1. (a) Show that trebling x adds \(b\ln3\) to y, whatever x is.

      • New y: \(a+b\ln(3x)=a+b\ln 3+b\ln x\)
      • Subtract the old y: \(b\ln 3\), which does not depend on x
    2. (b) Find the increase in y when x trebles and b = 2.4.

      • \(2.4\ln 3=2.64\)

jmaths.xyz · AI HL · 12.7.2 Exponential models, half-life and logarithmic models