π Logistic growth curves calculus (21 MCQs)
π From Calculus β’ 5. The derivative in Graphing and Applications β’ 21 questions available
What is Logistic growth curves calculus?
Definition:
Logistic growth models population dynamics using , where is carrying capacity. The derivative shows growth rate slows as population approaches , creating an S-shaped curve distinct from exponential growth patterns.
Example:
If , then . As , , the limiting capacity.
Reason:
This model accounts for resource limitations, unlike exponential growth, making it realistic for biological populations constrained by environmental factors.
π All Logistic growth curves calculus MCQs
Q1. If the constant in the logistic model is increased, what happens to the time at which the inflection point occurs?
π Explanation: Because the inflection time is . When grows, the denominator becomes larger, making the whole expression smaller, so the inflection occurs at a smaller (earlier) time.
Q2. How does increasing the parameter affect the location of the inflection point in the logistic curve?
π Explanation: The inflection time is . A larger produces a larger numerator, so increases, meaning the inflection point moves to a later time.
Q3. For a logistic curve with parameters , , and , if at a certain time the population satisfies , what is the concavity of the graph at that time?
π Explanation: The second derivative is . Since , the factor is positive, making the second derivative positive, which indicates the curve is concave up.
Q4. If the carrying capacity is reduced while keeping and constant, which statement about the horizontal asymptote is true?
π Explanation: The horizontal asymptote of the logistic function is . Decreasing therefore lowers the asymptote, shifting it downward on the -axis.
Q5. Consider two logistic models with the same and but growth rates . As , which statement correctly describes their populations?
π Explanation: Both models converge to the same limiting value ; however, the larger growth constant accelerates the approach, so the population with reaches values near more quickly.
Q6. Given , , and , what can be inferred about the sign of ?
π Explanation: All factors in the expression are positive: , , , and . The product of positive numbers is positive, so for any admissible .
Q7. Which of the following best describes the difference between the logistic model and the exponential model for large ?
π Explanation: The exponential function continues to increase indefinitely, whereas the logistic function has a horizontal asymptote at ; thus, for large the logistic curve levels off while the exponential keeps rising.
Q8. For a fixed and , how does increasing affect the steepness of the logistic curve around its inflection point?
π Explanation: The factor appears in the exponent and also multiplies the derivative. A larger accelerates the transition from low to high values, sharpening the Sβshape and increasing the slope at the inflection point.
Q9. If instead of , how does the initial population compare to the carrying capacity ?
π Explanation: At , . With , the denominator lies between 1 and 2, so lies between and , i.e., it is greater than .
Q10. At what population value does the second derivative change sign?
π Explanation: The sign change occurs when the factor equals zero, which gives . For the second derivative is positive (concave up), and for it becomes negative (concave down).
Q11. What is ?
π Explanation: As , the term tends to zero, so the denominator approaches . The limit therefore simplifies to .
Q12. For given and , the time at which the population reaches is:
π Explanation: Setting gives . Solving for yields , which is the expression in option D.
Q13. Which statement correctly describes the effect of choosing versus on the position of the logistic curve relative to the -axis?
π Explanation: When the denominator is smaller for early times, giving larger values of and moving the curve leftward. Conversely, yields a smaller early and shifts the curve right.
Q14. A bacterial colony follows with . What does represent?
π Explanation: In the logistic model, is the horizontal asymptote and denotes the carrying capacityβthe largest population that the environment can sustain over the long term.
Q15. Using the second derivative expression, why does the logistic curve have an inflection point when ?
π Explanation: The term in determines the sign of the curvature. When , this factor equals zero, causing the second derivative to change sign, which defines an inflection point.
Q16. From , how does the term enforce the carrying capacity ?
π Explanation: The factor becomes smaller as the population nears , diminishing the overall growth rate. When equals , the factor is zero, stopping growth entirely and thus enforcing the limit.
Q17. At what population value does the logistic model achieve its maximum instantaneous growth rate?
π Explanation: The derivative is a quadratic in that attains its maximum at the vertex, which occurs at .
Q18. If doubles, how does the time required for the population to reach change?
π Explanation: The inflection time is . Doubling divides the denominator by two, so the time to reach is reduced by a factor of two.
Q19. A logistic model has , , . What is the population after units?
π Explanation: Compute , which rounds to 529.
Q20. Which combination of growth phases creates the characteristic Sβshape of the logistic curve?
π Explanation: The logistic curve starts with nearβexponential increase when the population is small, then environmental limits cause the growth rate to decline, producing the familiar Sβshaped pattern.
Q21. What is the standard form of the logistic growth function?
π Explanation: The classic logistic function is written as , where is the carrying capacity, reflects the initial condition, and is the growth rate constant.