DOUBLING TIME, HALF-LIFE

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• Doubling Time ($\,d\,$) :
  • doubling time formula derived from $\,P(t) = P_{\,0}{\text{e}}^{rt}\,$:   $\displaystyle\,d = \frac{\ln 2}{r}$
  • doubling time formula derived from $\,P(t) = P_{\,0}b^{t/\Delta t}\,$:   $\displaystyle d = \frac{\ln 2}{\ln b}\cdot \Delta t$
  • What is the relative growth rate for $\,P_{\,0}b^{t/\Delta t}\,$?   Answer:   $\displaystyle r = \frac{\ln b}{\Delta t}$
  • compatibility of the two doubling time formulas
• Half-Life ($\,h\,$) :
  • half-life formula derived from $\,P(t) = P_{\,0}{\text{e}}^{rt}\,$:   $\displaystyle\,h = \frac{\ln 0.5}{r} = -\frac{\ln 2}{r}$
  • half-life formula derived from $\,P(t) = P_{\,0}b^{t/\Delta t}\,$:   $\displaystyle h = \frac{\ln 0.5}{\ln b}\cdot \Delta t = -\frac{\ln 2}{\ln b}\cdot \Delta t$
• Generalization: How long ($\,g\,$) does it take for a population to go from $\,P(t)\,$ to $\,kP(t)\,,$ for $\,k > 0\,$?
  Answer:
  • For $\,P(t) = P_{\,0}{\text{e}}^{rt}\,$:   $\displaystyle\,g = \frac{\ln k}{r}$
  • For $\,P(t) = P_{\,0}b^{t/\Delta t}\,$:   $\displaystyle g = \frac{\ln k}{\ln b}\cdot \Delta t$

Doubling Time

Doubling time formula derived from $\,P(t) = P_{\,0}{\text{e}}^{rt}\,$ Doubling time $\,d\,$ depends only on the relative growth rate, $\,r\,.$ It does not depend on time! Consequently, for exponential functions, the current population size doesn't matter; it always takes the same amount of time for a population to double. Let $\,P(t) = P_{\,0}{\text{e}}^{rt}\,$ for $\,r > 0\,$ (so this is exponential growth). Let $\,d\,$ denote the doubling time, so that $\,P(t+d) = 2P(t)\,$: $\displaystyle\,\overbrace{\cancel{P_{\,0}}{\text{e}}^{r(t+d)}}^{P(t+d)} = \overbrace{2\cancel{P_{\,0}}{\text{e}}^{rt}}^{2P(t)}\,$ This equation must be solved for $\,d\,.$ Notice that $\,P_{\,0}\,$ is immediately cancelled, so doubling time is independent of any starting population. $\displaystyle\bcancel{{\text{e}}^{rt}}{\text{e}}^{rd} = 2\bcancel{{\text{e}}^{rt}}$ Divide both sides by $\,{\text{e}}^{rt}\,.$ This is the step where $\,t\,$ disappears! No matter what the size of the current population, it takes the same time to double. $\ln {\text{e}}^{rd} = \ln 2$ ‘Undo’ the exponent with a logarithm. Any log will work; the natural log is chosen. $rd = \ln 2$ Use a property of logs to bring down the exponent. $\displaystyle d = \frac{\ln 2}{r}$ Solve for $\,d\,$ by dividing both sides by $\,r\,.$

Doubling time formula derived from $\,P(t) = P_{\,0}b^{t/\Delta t}\,$

As above, doubling time does not depend on time!
It depends only on the (equal change,constant multiplier) = $\,(\Delta t,b)\,$ pair.

Let $\,P(t) = P_{\,0}b^{t/\Delta t}\,$ for $\,b > 1\,$ (so this is exponential growth).
Let $\,d\,$ denote the doubling time, so that $\,P(t+d) = 2P(t)\,$:

$\,\overbrace{\cancel{P_{\,0}}b^{(t+d)/\Delta t}}^{P(t+d)} = \overbrace{2\cancel{P_{\,0}}b^{t/\Delta t}}^{2P(t)}\,$

$\,\cancel{b^{t/\Delta t}} b^{d/\Delta t} = 2\cancel{b^{t/\Delta t}}\,$     (Note that $\,t\,$ disappears at this step!)

$b^{d/\Delta t} = 2$

$\displaystyle\ln b^{d/\Delta t} = \ln 2$

$\displaystyle\frac{d}{\Delta t}\ln b = \ln 2$

$\displaystyle d = \frac{\ln 2}{\ln b}\cdot \Delta t$

What is the relative growth rate for $\,P_{\,0}b^{t/\Delta t}\,$?

Putting $\,P(t) = P_{\,0}b^{t/\Delta t}\,$ in the form $\,P(t) = P_{\,0}{\text{e}}^{rt}\,$ yields:
$\displaystyle \cssId{s68}{P_{\,0}b^{t/\Delta t}} \cssId{s69}{= P_{\,0}{\text{e}}^{\ln b^{t/\Delta t}}} \cssId{s70}{= P_{\,0}{\text{e}}^{(t/\Delta t)\ln b}} \cssId{s71}{= P_{\,0}{\text{e}}^{t\overbrace{(\ln b)/\Delta t}^{r}}}$

Thus, the relative growth rate for $\,P_{\,0}b^{t/\Delta t}\,$ is $\displaystyle\,r = \frac{\ln b}{\Delta t}\,.$


Compatibility of the two doubling time formulas

Using the fact that $\displaystyle\,r = \frac{\ln b}{\Delta t}\,,$ we have:
$\displaystyle \cssId{s75}{d = \frac{\ln 2}{\ln b}\cdot \Delta t} \cssId{s76}{= \frac{\ln 2}{(\ln b/\Delta t)}} \cssId{s77}{= \frac{\ln 2}{r}}$

Half-Life

Half-life is the time it takes for a current amount to be cut in half.

Half-life formula derived from $\,P(t) = P_{\,0}{\text{e}}^{rt}\,$ Again, half-life depends only on the relative growth rate, $\,r\,.$ It does not depend on time! Let $\,P(t) = P_{\,0}{\text{e}}^{rt}\,$ for $\,r < 0\,$ (so this is exponential decay). Let $\,h\,$ denote the half-life, so $\,P(t+h) = \frac 12P(t)\,$: $\displaystyle\,\overbrace{\cancel{P_{\,0}}{\text{e}}^{r(t+h)}}^{P(t+h)} = \overbrace{\frac 12\cancel{P_{\,0}}{\text{e}}^{rt}}^{\frac 12P(t)}\,$ $\displaystyle\bcancel{{\text{e}}^{rt}}{\text{e}}^{rh} = \frac 12\bcancel{{\text{e}}^{rt}}$   (Note that $\,t\,$ disappears at this step!) $\ln {\text{e}}^{rh} = \ln \frac 12 = \ln 0.5$ $rh = \ln 0.5$ $\displaystyle h = \frac{\ln 0.5}{r} = \frac{\ln 2^{-1}}{r} = -\frac{\ln 2}{r}$ Note that since $\,r < 0\,$ for exponential decay, we have $\displaystyle \,h = -\frac{\ln 2}{r} > 0\,.$

Half-life formula derived from $\,P(t) = P_{\,0}b^{t/\Delta t}\,$

As above, half-life does not depend on time!
It depends only on the (equal change,constant multiplier) = $\,(\Delta t,b)\,$ pair.

Let $\,P(t) = P_{\,0}b^{t/\Delta t}\,$ for $\,0 < b < 1\,$ (so this is exponential decay).
Let $\,h\,$ denote the half-life, so that $\,P(t+h) = \frac 12P(t)\,$:

$\,\overbrace{\cancel{P_{\,0}}b^{(t+h)/\Delta t}}^{P(t+h)} = \overbrace{\frac 12\cancel{P_{\,0}}b^{t/\Delta t}}^{\frac 12P(t)}\,$

$\,\cancel{b^{t/\Delta t}} b^{h/\Delta t} = \frac 12\cancel{b^{t/\Delta t}}\,$     (Note that $\,t\,$ disappears at this step!)

$b^{h/\Delta t} = \frac 12 = 0.5$

$\displaystyle\ln b^{h/\Delta t} = \ln 0.5$

$\displaystyle\frac{h}{\Delta t}\ln b = \ln 0.5$

$\displaystyle h = \frac{\ln 0.5}{\ln b}\cdot \Delta t = \frac{\ln 2^{-1}}{\ln b}\cdot \Delta t = -\frac{\ln 2}{\ln b}\cdot \Delta t$

Note that since $\,0 < b < 1\,$ for exponential decay, we have $\,\ln b < 0\,,$ and thus $\displaystyle h = -\frac{\ln 2}{\ln b}\cdot \Delta t > 0\,.$

Generalization: How long does it take for a population to go from $\,P(t)\,$ to $\,kP(t)\,$?

Let $\,g\,$ be the time it takes to go from $\,P(t)\,$ to $\,kP(t)\,$ for any $\,k > 0\,.$
The derivation is identical to those above, hence is greatly abbreviated here:

$$ \begin{gather} \cssId{s114}{P(t) = P_{\,0}{\text{e}}^{rt}}\cr\cr \cssId{s115}{P(t+g) = kP(t)}\cr\cr \cssId{s116}{P_{\,0}{\text{e}}^{r(t+g)} = kP_{\,0}{\text{e}}^{rt}}\cr\cr \cssId{s117}{{\text{e}}^{rg} = k}\cr\cr \cssId{s118}{g = \frac{\ln k}{r}} \end{gather} $$

$$ \begin{gather} \cssId{s119}{P(t) = P_{\,0}b^{t/\Delta t}}\cr\cr \cssId{s120}{P(t+g) = kP(t)}\cr\cr \cssId{s121}{P_{\,0}b^{(t+g)/\Delta t} = kP_{\,0}b^{t/\Delta t}}\cr\cr \cssId{s122}{b^{g/\Delta t} = k}\cr\cr \cssId{s123}{\frac{g}{\Delta t}\ln b = \ln k}\cr\cr \cssId{s124}{g = \frac{\ln k}{\ln b}\cdot \Delta t} \end{gather} $$

Master the ideas from this section
by practicing the exercise at the bottom of this page.

When you're done practicing, move on to:
Introduction to Trigonometry