πŸŽ“ BookMCQ
← Back to 5. The derivative in Graphing and Applications

πŸ“ Logistic growth curves calculus (21 MCQs)

πŸ“– 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 P(t)=K1+Aeβˆ’ktP(t) = \frac{K}{1 + Ae^{-kt}}, where KK is carrying capacity. The derivative Pβ€²(t)P'(t) shows growth rate slows as population approaches KK, creating an S-shaped curve distinct from exponential growth patterns.

Example:
If P(t)=1001+9eβˆ’tP(t) = \frac{100}{1 + 9e^{-t}}, then P(0)=10P(0) = 10. As tβ†’βˆžt \to \infty, P(t)β†’100P(t) \to 100, the limiting capacity.

Reason:
This model accounts for resource limitations, unlike exponential growth, making it realistic for biological populations constrained by environmental factors.

6
Easy
9
Medium
6
Hard

πŸ“ All Logistic growth curves calculus MCQs

Q1. If the constant kk in the logistic model y=L1+Aeβˆ’kty = \frac{L}{1+Ae^{-kt}} is increased, what happens to the time at which the inflection point occurs?

A.The inflection point occurs earlier βœ…
B.The inflection point occurs later
C.The inflection point time is unchanged
D.The inflection point disappears
πŸ’‘ Difficulty: easy | βœ… Correct: A

πŸ“– Explanation: Because the inflection time is tinf=1kln⁑At_{\text{inf}}=\frac{1}{k}\ln A. When kk 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 AA affect the location of the inflection point in the logistic curve?

A.It shifts the inflection point earlier
B.It shifts the inflection point later βœ…
C.It leaves the inflection point unchanged
D.It moves the inflection point to t=0t=0
πŸ’‘ Difficulty: medium | βœ… Correct: B

πŸ“– Explanation: The inflection time is tinf=ln⁑Akt_{\text{inf}}=\frac{\ln A}{k}. A larger AA produces a larger numerator, so tinft_{\text{inf}} increases, meaning the inflection point moves to a later time.

Q3. For a logistic curve with parameters L>0L>0, k>0k>0, and A>1A>1, if at a certain time tt the population satisfies y(t)=0.4Ly(t)=0.4L, what is the concavity of the graph at that time?

A.Concave down
B.Linear
C.Concave up βœ…
D.Inflection point
πŸ’‘ Difficulty: hard | βœ… Correct: C

πŸ“– Explanation: The second derivative is k2L2y(Lβˆ’y)(Lβˆ’2y)k^{2}L^{2}y(L-y)(L-2y). Since y=0.4L<L/2y=0.4L<L/2, the factor (Lβˆ’2y)(L-2y) is positive, making the second derivative positive, which indicates the curve is concave up.

Q4. If the carrying capacity LL is reduced while keeping AA and kk constant, which statement about the horizontal asymptote is true?

A.It moves higher
B.It moves lower
C.It stays unchanged
D.It disappears βœ…
πŸ’‘ Difficulty: easy | βœ… Correct: D

πŸ“– Explanation: The horizontal asymptote of the logistic function is y=Ly=L. Decreasing LL therefore lowers the asymptote, shifting it downward on the yy-axis.

Q5. Consider two logistic models with the same LL and AA but growth rates k1<k2k_{1}<k_{2}. As tβ†’βˆžt\to\infty, which statement correctly describes their populations?

A.The model with larger kk approaches LL faster βœ…
B.Both approach LL at the same rate
C.The model with smaller kk never reaches LL
D.Both diverge to infinity
πŸ’‘ Difficulty: medium | βœ… Correct: A

πŸ“– Explanation: Both models converge to the same limiting value LL; however, the larger growth constant k2k_{2} accelerates the approach, so the population with k2k_{2} reaches values near LL more quickly.

Q6. Given k>0k>0, L>0L>0, and 0<y<L0<y<L, what can be inferred about the sign of dydt=kL y(Lβˆ’y)\frac{dy}{dt}=kL\,y(L-y)?

A.Negative
B.Zero
C.Depends on yy
D.Positive βœ…
πŸ’‘ Difficulty: hard | βœ… Correct: D

πŸ“– Explanation: All factors in the expression are positive: k>0k>0, L>0L>0, y>0y>0, and Lβˆ’y>0L-y>0. The product of positive numbers is positive, so dydt>0\frac{dy}{dt}>0 for any admissible yy.

Q7. Which of the following best describes the difference between the logistic model y=L1+Aeβˆ’kty=\frac{L}{1+Ae^{-kt}} and the exponential model y=y0ekty=y_{0}e^{kt} for large tt?

A.Logistic grows faster than exponential
B.Logistic saturates at LL while exponential grows without bound βœ…
C.Both have the same horizontal asymptote
D.Logistic declines after reaching a peak
πŸ’‘ Difficulty: medium | βœ… Correct: B

πŸ“– Explanation: The exponential function continues to increase indefinitely, whereas the logistic function has a horizontal asymptote at y=Ly=L; thus, for large tt the logistic curve levels off while the exponential keeps rising.

Q8. For a fixed LL and AA, how does increasing kk affect the steepness of the logistic curve around its inflection point?

A.It flattens the curve
B.It has no effect on steepness
C.It shifts the inflection point earlier but leaves slope unchanged
D.It makes the curve steeper βœ…
πŸ’‘ Difficulty: medium | βœ… Correct: D

πŸ“– Explanation: The factor kk appears in the exponent and also multiplies the derivative. A larger kk accelerates the transition from low to high values, sharpening the S‑shape and increasing the slope at the inflection point.

Q9. If 0<A<10<A<1 instead of A>1A>1, how does the initial population y(0)y(0) compare to the carrying capacity LL?

A.It is greater than L/2L/2 βœ…
B.It is less than L/2L/2
C.It equals L/2L/2
D.It exceeds LL
πŸ’‘ Difficulty: medium | βœ… Correct: A

πŸ“– Explanation: At t=0t=0, y(0)=L1+Ay(0)=\frac{L}{1+A}. With 0<A<10<A<1, the denominator lies between 1 and 2, so y(0)y(0) lies between L/2L/2 and LL, i.e., it is greater than L/2L/2.

Q10. At what population value does the second derivative d2ydt2=k2L2y(Lβˆ’y)(Lβˆ’2y)\frac{d^{2}y}{dt^{2}}=k^{2}L^{2}y(L-y)(L-2y) change sign?

A.y=0y=0
B.y=Ly=L
C.y=L2y=\frac{L}{2} βœ…
D.y=L3y=\frac{L}{3}
πŸ’‘ Difficulty: hard | βœ… Correct: C

πŸ“– Explanation: The sign change occurs when the factor (Lβˆ’2y)(L-2y) equals zero, which gives y=L2y=\frac{L}{2}. For y<L/2y<L/2 the second derivative is positive (concave up), and for y>L/2y>L/2 it becomes negative (concave down).

Q11. What is lim⁑tβ†’βˆžL1+Aeβˆ’kt\displaystyle\lim_{t\to\infty}\frac{L}{1+Ae^{-kt}}?

A.00
B.LL βœ…
C.∞\infty
D.LA\frac{L}{A}
πŸ’‘ Difficulty: easy | βœ… Correct: B

πŸ“– Explanation: As tβ†’βˆžt\to\infty, the term eβˆ’kte^{-kt} tends to zero, so the denominator approaches 11. The limit therefore simplifies to L1=L\frac{L}{1}=L.

Q12. For given A>1A>1 and k>0k>0, the time at which the population reaches 3L4\frac{3L}{4} is:

A.1kln⁑A3\frac{1}{k}\ln\frac{A}{3}
B.1kln⁑3A\frac{1}{k}\ln\frac{3}{A}
C.1kln⁑13A\frac{1}{k}\ln\frac{1}{3A}
D.1kln⁑(3A)\frac{1}{k}\ln(3A) βœ…
πŸ’‘ Difficulty: medium | βœ… Correct: D

πŸ“– Explanation: Setting L1+Aeβˆ’kt=3L4\frac{L}{1+Ae^{-kt}}=\frac{3L}{4} gives Aeβˆ’kt=1/3Ae^{-kt}=1/3. Solving for tt yields t=1kln⁑(3A)t=\frac{1}{k}\ln(3A), which is the expression in option D.

Q13. Which statement correctly describes the effect of choosing A>1A>1 versus 0<A<10<A<1 on the position of the logistic curve relative to the tt-axis?

A.A>1A>1 shifts the curve right
B.A<1A<1 shifts the curve right βœ…
C.Both produce the same shift
D.A>1A>1 shifts the curve left
πŸ’‘ Difficulty: hard | βœ… Correct: B

πŸ“– Explanation: When A<1A<1 the denominator 1+Aeβˆ’kt1+Ae^{-kt} is smaller for early times, giving larger values of yy and moving the curve leftward. Conversely, A>1A>1 yields a smaller early yy and shifts the curve right.

Q14. A bacterial colony follows y(t)=L1+Aeβˆ’kty(t)=\frac{L}{1+Ae^{-kt}} with L=109L=10^{9}. What does LL represent?

A.The initial population size
B.The intrinsic growth rate
C.The maximum sustainable population βœ…
D.The time of the inflection point
πŸ’‘ Difficulty: easy | βœ… Correct: C

πŸ“– Explanation: In the logistic model, LL is the horizontal asymptote and denotes the carrying capacityβ€”the 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 y=L2y=\frac{L}{2}?

A.Because the factor Lβˆ’2yL-2y becomes zero βœ…
B.Because the first derivative is zero
C.Because the growth rate is maximal
D.Because the denominator of the original function vanishes
πŸ’‘ Difficulty: medium | βœ… Correct: A

πŸ“– Explanation: The term (Lβˆ’2y)(L-2y) in d2ydt2\frac{d^{2}y}{dt^{2}} determines the sign of the curvature. When y=L/2y=L/2, this factor equals zero, causing the second derivative to change sign, which defines an inflection point.

Q16. From dydt=kL y(Lβˆ’y)\frac{dy}{dt}=kL\,y(L-y), how does the term (Lβˆ’y)(L-y) enforce the carrying capacity LL?

A.It reduces growth as yy approaches LL
B.It increases growth as yy approaches LL
C.It has no effect on growth
D.It causes the population to become negative βœ…
πŸ’‘ Difficulty: hard | βœ… Correct: D

πŸ“– Explanation: The factor (Lβˆ’y)(L-y) becomes smaller as the population nears LL, diminishing the overall growth rate. When yy equals LL, 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?

A.y=0y=0
B.y=L2y=\frac{L}{2} βœ…
C.y=Ly=L
D.y=L4y=\frac{L}{4}
πŸ’‘ Difficulty: medium | βœ… Correct: B

πŸ“– Explanation: The derivative dydt=kL y(Lβˆ’y)\frac{dy}{dt}=kL\,y(L-y) is a quadratic in yy that attains its maximum at the vertex, which occurs at y=L2y=\frac{L}{2}.

Q18. If kk doubles, how does the time required for the population to reach L2\frac{L}{2} change?

A.It halves βœ…
B.It doubles
C.It stays the same
D.It becomes zero
πŸ’‘ Difficulty: hard | βœ… Correct: A

πŸ“– Explanation: The inflection time is tinf=ln⁑Akt_{\text{inf}}=\frac{\ln A}{k}. Doubling kk divides the denominator by two, so the time to reach L/2L/2 is reduced by a factor of two.

Q19. A logistic model has L=1000L=1000, A=4A=4, k=0.3k=0.3. What is the population after t=5t=5 units?

A.470
B.600
C.529 βœ…
D.750
πŸ’‘ Difficulty: medium | βœ… Correct: C

πŸ“– Explanation: Compute y(5)=10001+4eβˆ’0.3β‹…5=10001+4eβˆ’1.5β‰ˆ10001+0.8925=528.6y(5)=\frac{1000}{1+4e^{-0.3\cdot5}}=\frac{1000}{1+4e^{-1.5}}\approx\frac{1000}{1+0.8925}=528.6, which rounds to 529.

Q20. Which combination of growth phases creates the characteristic S‑shape of the logistic curve?

A.Constant growth throughout
B.Initial exponential growth then deceleration
C.Decline then rise
D.Oscillatory fluctuations βœ…
πŸ’‘ Difficulty: easy | βœ… Correct: D

πŸ“– Explanation: The logistic curve starts with near‑exponential increase when the population is small, then environmental limits cause the growth rate to decline, producing the familiar S‑shaped pattern.

Q21. What is the standard form of the logistic growth function?

A.y=Lekty = Le^{kt}
B.y=L1+Aeβˆ’kty = \frac{L}{1+Ae^{-kt}} βœ…
C.y=Aekt+Ly = Ae^{kt}+L
D.y=L(1βˆ’eβˆ’kt)y = L(1 - e^{-kt})
πŸ’‘ Difficulty: easy | βœ… Correct: B

πŸ“– Explanation: The classic logistic function is written as y(t)=L1+Aeβˆ’kty(t)=\frac{L}{1+Ae^{-kt}}, where LL is the carrying capacity, AA reflects the initial condition, and kk is the growth rate constant.

πŸ”— Related Topics (MCQs)