Putting It Together: Exponential and Logarithmic Equations and Models

At the start of this module, you were assigned the task of analyzing a fossilized bone to determine its age. To make that estimate, you need to model for the decay rate of carbon-14.

The decay of a radioactive element is an exponential function of the form:

A(t)=A0ekt

where

A(t) = mass of element remaining after t years

A0 = original mass of element

k = rate of decay

t = time in years

So to create a model for the decay function of carbon-14, assume for simplicity that the sample you started with had a mass of 1g. We know that half the starting mass of the sample will remain after one half-life which is 5,730 years. We can substitute these values for A(t) and A0 as follows:

A(t)=A0ekt

12=(1)ek(5730)

1n(12)=1n(ek(5730))

1n(21)=(5730k)1n(e)

1n(2)=5730k(1)

k1.21×104

Now you know the decay rate so you can write the equation for the exponential decay of carbon-14 and you can represent it as a graph.

graph shows percentage of decay over time starting at 100% remaining to 0% over roughly 47500 years.

The next step is to evaluate the function for a given mass. Assume a starting mass of 100 grams and that there are 20 grams remaining. Substitute these values into the model in the following way:

Write the equation A(t)=100e(0.000121)t
Substitute 20 grams for A(t) 20=100e(0.000121)t
Divide both sides by 100 0.20=e(0.000121)t
Change to logarithmic form 1n(0.20)=(0.000121)t
Divide both sides by -0.000121 t=1n(0.20)0.000121
Solve t13,301 years

Now you know that it would take 13,301 years for a 100-gram sample of carbon-14 to decay to the point that only 20 grams are left. Confirm that this number makes sense by looking at the graph.

You can also determine the amount of a 100-gram sample that would remain after a given number of years such as 8,000.  To do this, substitute the number of years into the function and evaluate.

A(t)=100e(0.000121)t

A(8000)=100e(0.000121)(8000)38 grams

About 38 grams would remain after 8,000 years.

Understanding exponential functions helps scientists better understand radioactive decay and provides insights into past civilizations and species.