Question 116·Medium·Nonlinear Functions
The function
models the number of fish, , in a pond months after a new species is introduced.
Which of the following conclusions about the fish population is supported by the model?
For function-model questions, quickly plug in key -values (like ) to test any statements about the initial amount, and examine the function’s form to decide whether it is linear (constant rate), pure exponential (multiplying by a constant factor), or logistic (curving and leveling off). If needed, evaluate the function at a couple of points or think about the limit as becomes large to see whether there is a horizontal asymptote; then match these behaviors to the verbal descriptions in the answer choices, eliminating any that contradict what the formula actually does.
Hints
Start with
Plug into to find the initial population. Compare that value to any option that talks about the initial number of fish.
Look at the structure of the function
Ask yourself: does this function look like a straight line, a simple exponential of the form , or something else? Which option assumes a straight-line (constant) rate of change?
Think about what happens for very large
As becomes large, what happens to ? What does that do to the denominator and to the overall value of ?
Test the "doubling" idea with actual values
Use and from the formula. If the population really doubled every 0.6 months, what should be compared with , and does the function produce that result?
Desmos Guide
Graph the model
Enter the function as y = 820/(1+4e^(-0.6x)). Use in place of since Desmos uses for the horizontal axis by default.
Check the initial population
Look at the point where the graph crosses the -axis (when ). Read that -value from the graph or from a table (add a table and set the first -value to 0) to see the modeled starting number of fish.
Test the "doubling every 0.6 months" idea
In the table, include and . Compare the -values at these two -values. If the population doubled every 0.6 months, the -value at would be exactly twice the -value at 0.
See whether the growth rate is constant
Look at the shape of the graph. A constant rate of change would produce a straight line. Notice whether this graph is straight or curves and levels off, and use that to judge any statements about a constant rate.
Observe the long-term behavior
Zoom out along the positive -axis (to large -values like 20, 30, or more) and watch what -value the graph gets closer to as increases. Check whether the graph ever rises above that -value, and compare this behavior with the remaining answer choice.
Step-by-step Explanation
Interpret the function at time (initial population)
To find the initial population, plug into the model:
So the initial population is 164 fish, not 820 fish. This rules out the statement that the initial population was 820 fish.
Decide whether the population grows at a constant rate
A constant rate of change (like "0.6 fish per month") would come from a linear function of the form , whose graph is a straight line.
But this model is
which contains an exponential expression in the denominator. That means the rate of change is not constant; it changes over time. Therefore, the statement that the population increases at a constant rate of 0.6 fish per month is not supported by this model.
Check whether the population doubles every 0.6 months
If a population doubles every fixed time interval (like every 0.6 months), the model usually looks like an exponential growth function, for example , where each interval multiplies the population by 2.
Here, the function has the form
which is a different type of function (logistic) and has a numerator and a denominator. To see it does not double every 0.6 months, compare values:
- From step 1, .
- Now compute :
If the population doubled every 0.6 months, would have to equal . A calculator shows is not 328, so the population does not double every 0.6 months.
Analyze long-term behavior as gets large
Focus on the exponential part in the denominator. As becomes very large, becomes a large negative number, so
Then the denominator approaches , so approaches
Also, because for all real , the denominator is always greater than 1, so is always less than 820 for all .
This means the model predicts that the fish population levels off and gets closer and closer to 820 fish but never becomes larger than 820 fish. That matches the conclusion: The population will never exceed 820 fish.