Key Concepts & Glossary

Key Equations

Half-life formula If  A=A0ekt, < 0, the half-life is t=ln(2)k.
Carbon-14 dating

t=ln(AA0)0.000121.A0 A is the amount of carbon-14 when the plant or animal died

t is the amount of carbon-14 remaining today

is the age of the fossil in years

Doubling time formula If A=A0ekt, > 0, the doubling time is t=ln2k
Newton’s Law of Cooling T(t)=Aekt+Ts, where Ts is the ambient temperature, A=T(0)Ts, and k is the continuous rate of cooling.

Key Concepts

  • The basic exponential function is f(x)=abx. If > 1, we have exponential growth; if 0 < < 1, we have exponential decay.
  • We can also write this formula in terms of continuous growth as A=A0ekx, where A0 is the starting value. If A0 is positive, then we have exponential growth when > 0 and exponential decay when < 0.
  • In general, we solve problems involving exponential growth or decay in two steps. First, we set up a model and use the model to find the parameters. Then we use the formula with these parameters to predict growth and decay.
  • We can find the age, t, of an organic artifact by measuring the amount, k, of carbon-14 remaining in the artifact and using the formula t=ln(k)0.000121 to solve for t.
  • Given a substance’s doubling time or half-time, we can find a function that represents its exponential growth or decay.
  • We can use Newton’s Law of Cooling to find how long it will take for a cooling object to reach a desired temperature, or to find what temperature an object will be after a given time.
  • We can use logistic growth functions to model real-world situations where the rate of growth changes over time, such as population growth, spread of disease, and spread of rumors.
  • We can use real-world data gathered over time to observe trends. Knowledge of linear, exponential, logarithmic, and logistic graphs help us to develop models that best fit our data.
  • Any exponential function with the form y=abx can be rewritten as an equivalent exponential function with the form y=A0ekx where k=lnb.

Glossary

carrying capacity
in a logistic model, the limiting value of the output
doubling time
the time it takes for a quantity to double
half-life
the length of time it takes for a substance to exponentially decay to half of its original quantity
logistic growth model
a function of the form f(x)=c1+aebx where c1+a is the initial value, c is the carrying capacity, or limiting value, and b is a constant determined by the rate of growth
Newton’s Law of Cooling
the scientific formula for temperature as a function of time as an object’s temperature is equalized with the ambient temperature
order of magnitude
the power of ten, when a number is expressed in scientific notation, with one non-zero digit to the left of the decimal