Exponential Functions

5.6 Exponential Functions as Mathematical Models

Exponential Growth

  • The exponential function describes a quantity Q(t) that is initially present in the amount of Q(0) = Q0.

  • The growth of the quantity is characterized by the equation:

    Q(t)=Q0ektQ(t) = Q_0 e^{kt}

    where:

    • Q(t) = quantity at time t

    • k = constant of proportionality (growth rate)

  • The derivative expressing the rate of growth at time t is given by:

    Q(t)=racddt(Q<em>0ekt)=Q</em>0kektQ'(t) = rac{d}{dt}(Q<em>0 e^{kt}) = Q</em>0 k e^{kt}

  • This indicates that the rate of change of the quantity (Q'(t)) is directly proportional to the current amount of the quantity present at time t.

  • A function exhibiting this kind of growth is said to exhibit unrestricted exponential growth.

Example 1: Bacterial Growth
  • Initial quantity: 10,000 bacteria

  • Quantity after 2 hours: 60,000 bacteria

    • Part a: Calculate the number of bacteria at the end of 4 hours:

    1. Determine k from the growth equation:
      60,000=10,000e2k60,000 = 10,000 e^{2k}
      6=e2k6 = e^{2k}
      2k=extln(6)2k = ext{ln}(6)

      k=racextln(6)2k = rac{ ext{ln}(6)}{2}

    2. Using k to find the population at t = 4:
      Q(4)=10,000e4k=10,000e4(racextln(6)2)=10,000imes64Q(4) = 10,000 e^{4k} = 10,000 e^{4( rac{ ext{ln}(6)}{2})} = 10,000 imes 6^4
      Q(4)=10,000imes1296=12,960,000Q(4) = 10,000 imes 1296 = 12,960,000

    • Part b: Determine the rate of growth after 4 hours using Q'(t):
      Q(4)=10,000ke4kQ'(4) = 10,000 k e^{4k}

Exponential Decay

  • A quantity exhibits exponential decay if it decreases at a rate proportional to its size, represented as:

    Q(t)=Q0ektQ(t) = Q_0 e^{-kt}

    where k is a positive constant that represents the decay rate.

  • The derivative of this function is given by:

    Q(t)=racddt(Q<em>0ekt)=Q</em>0kektQ'(t) = rac{d}{dt}(Q<em>0 e^{-kt}) = -Q</em>0 k e^{-kt}

Half-Life
  • The half-life of a radioactive substance is defined as the time required for a quantity to reduce to half its initial amount, represented mathematically as:

    Q(t<em>1/2)=racQ</em>02Q(t<em>{1/2}) = rac{Q</em>0}{2}

Example 2: Carbon-14 Decay

  • Given that the half-life of Carbon-14 is 5730 years, determine the decay constant:

    • By using the half-life formula and solving for k in the equation:

    racQ<em>02=Q</em>0ekimes5730rac{Q<em>0}{2} = Q</em>0 e^{-k imes 5730}

  • This leads to:
    rac12=ekimes5730rac{1}{2} = e^{-k imes 5730}

    Taking the natural logarithm, we find:
    kimes5730=extln(0.5)-k imes 5730 = ext{ln}(0.5)

    Therefore:
    k=racextln(0.5)5730k = - rac{ ext{ln}(0.5)}{5730}

Example 3: Age of Wood Deposits

  • Wood deposits contain 20% of the original Carbon-14. To find out how long ago the tree died:

    • Again, use the half-life related calculations and set up the equation:

    0.2Q<em>0=Q</em>0ekt0.2Q<em>0 = Q</em>0 e^{-kt}

    • By solving this, deduce the time since the tree died.

Supplemental Examples

Example 4: Global Population Modeling
  • World population in 1990: 5.3 billion. Assuming a growth rate of 2%/year, find:

    • Part a: The function Q(t) expresses the world population (in billions) as:

    Q(t)=5.3e0.02tQ(t) = 5.3 e^{0.02t}
    where t is measured in years from 1990.

    • Part b: Estimate the world population in 2020:

    Q(30)=5.3e0.02imes30Q(30) = 5.3 e^{0.02 imes 30}

    • Part c: Based on the function, determine the rate of growth in 2020:

    Q(t)=Q0(r)ertQ'(t) = Q_0 (r) e^{rt}
    where r = 0.02.

    • Part d: To calculate the time required for the population to triple:

    Find t0 such that:
    3imes5.3=5.3e0.02t03 imes 5.3 = 5.3 e^{0.02t_0}

    • Part e: If growth rate is reduced to 1.8%/year, apply the earlier findings to determine population size.

Example 5: Bank Failures Post-Financial Crisis
  • Notable peak in bank failures in 2010 at 157.

  • The function modeling failures from 2010-2012 is:

    f(t)=157e0.55tf(t) = 157 e^{-0.55t}
    where t is years after 2010.

    • Part a: Determine the rate of decrease in failures in 2011 by computing:

    f(1)=157imes0.55e0.55imes1f'(1) = -157 imes 0.55 e^{-0.55 imes 1}

    • Part b: Predict the number of bank failures by 2013 using the same model.