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Differential Equations Quiz

Differential Equations Quiz: Logistic Equation Solutions

Practice Logistic Equation Solutions in Differential Equations with focused quiz questions that help you check what you know, review explanations, and build confidence with test-style prompts.

Question 1 / 15

0 of 15 answered

A population P(t)P(t)P(t) is modeled by the differential equation dPdt=0.4P−0.001P2\frac{dP}{dt} = 0.4P - 0.001P^2dtdP​=0.4P−0.001P2. If the initial population is P(0)=50P(0)=50P(0)=50, at what time ttt does the population reach its point of maximum growth rate?

Select an answer to continue

What this quiz covers

This quiz focuses on Logistic Equation Solutions, giving you a quick way to practice the rules, question types, and explanations that matter most for Differential Equations.

How to use this quiz

Try each quiz question before looking at the correct answer. Use the explanations to review missed ideas, then come back to similar questions until the pattern feels familiar.

All questions

Question 1

A population P(t)P(t)P(t) is modeled by the differential equation dPdt=0.4P−0.001P2\frac{dP}{dt} = 0.4P - 0.001P^2dtdP​=0.4P−0.001P2. If the initial population is P(0)=50P(0)=50P(0)=50, at what time ttt does the population reach its point of maximum growth rate?

  1. t=2.5ln⁡(4)t = 2.5 \ln(4)t=2.5ln(4)
  2. t=2.5ln⁡(7)t = 2.5 \ln(7)t=2.5ln(7) (correct answer)
  3. t=2.5ln⁡(8)t = 2.5 \ln(8)t=2.5ln(8)
  4. t=2.5ln⁡(7/3)t = 2.5 \ln(7/3)t=2.5ln(7/3)

Explanation: First, convert the equation to the standard logistic form dPdt=kP(1−PM)\frac{dP}{dt} = kP(1 - \frac{P}{M})dtdP​=kP(1−MP​). Factoring out 0.4P0.4P0.4P gives dPdt=0.4P(1−0.0010.4P)=0.4P(1−P400)\frac{dP}{dt} = 0.4P(1 - \frac{0.001}{0.4}P) = 0.4P(1 - \frac{P}{400})dtdP​=0.4P(1−0.40.001​P)=0.4P(1−400P​). From this, we identify the growth rate k=0.4k=0.4k=0.4 and the carrying capacity M=400M=400M=400. The maximum growth rate occurs at the inflection point, where P=M/2=200P = M/2 = 200P=M/2=200. The solution to the logistic equation is P(t)=M1+Ae−ktP(t) = \frac{M}{1+Ae^{-kt}}P(t)=1+Ae−ktM​, where A=M−P0P0A = \frac{M-P_0}{P_0}A=P0​M−P0​​. Here, A=400−5050=7A = \frac{400-50}{50} = 7A=50400−50​=7. We need to find the time ttt when P(t)=200P(t)=200P(t)=200. So, we solve 200=4001+7e−0.4t200 = \frac{400}{1+7e^{-0.4t}}200=1+7e−0.4t400​. This simplifies to 1+7e−0.4t=21+7e^{-0.4t} = 21+7e−0.4t=2, which gives 7e−0.4t=17e^{-0.4t} = 17e−0.4t=1, or e−0.4t=1/7e^{-0.4t} = 1/7e−0.4t=1/7. Taking the natural logarithm of both sides, −0.4t=ln⁡(1/7)=−ln⁡(7)-0.4t = \ln(1/7) = -\ln(7)−0.4t=ln(1/7)=−ln(7). Therefore, t=ln⁡(7)0.4=2.5ln⁡(7)t = \frac{\ln(7)}{0.4} = 2.5 \ln(7)t=0.4ln(7)​=2.5ln(7).

Question 2

The solution to a logistic differential equation is given by P(t)=25001+49e−0.2tP(t) = \frac{2500}{1+49e^{-0.2t}}P(t)=1+49e−0.2t2500​. Which of the following differential equations has this function as its solution?

  1. dPdt=0.2P−0.00008P2\frac{dP}{dt} = 0.2P - 0.00008P^2dtdP​=0.2P−0.00008P2 (correct answer)
  2. dPdt=9.8P−0.00392P2\frac{dP}{dt} = 9.8P - 0.00392P^2dtdP​=9.8P−0.00392P2
  3. dPdt=0.2P−0.004P2\frac{dP}{dt} = 0.2P - 0.004P^2dtdP​=0.2P−0.004P2
  4. dPdt=0.2P−0.008P2\frac{dP}{dt} = 0.2P - 0.008P^2dtdP​=0.2P−0.008P2

Explanation: The general solution to a logistic equation is P(t)=M1+Ae−ktP(t) = \frac{M}{1+Ae^{-kt}}P(t)=1+Ae−ktM​. Comparing this to the given solution, we can identify the carrying capacity M=2500M=2500M=2500, the growth rate k=0.2k=0.2k=0.2, and the constant A=49A=49A=49. The standard form of the logistic differential equation is dPdt=kP(1−PM)\frac{dP}{dt} = kP(1 - \frac{P}{M})dtdP​=kP(1−MP​). Substituting the identified parameters, we get dPdt=0.2P(1−P2500)\frac{dP}{dt} = 0.2P(1 - \frac{P}{2500})dtdP​=0.2P(1−2500P​). To match the answer choices, we distribute the 0.2P0.2P0.2P: dPdt=0.2P−0.2P22500=0.2P−0.00008P2\frac{dP}{dt} = 0.2P - \frac{0.2P^2}{2500} = 0.2P - 0.00008P^2dtdP​=0.2P−25000.2P2​=0.2P−0.00008P2.

Question 3

A population, modeled by the logistic equation dPdt=0.05P(1−P2000)\frac{dP}{dt} = 0.05P(1 - \frac{P}{2000})dtdP​=0.05P(1−2000P​), is observed to be growing at its maximum rate at time t=10t=10t=10 years. What was the initial population P(0)P(0)P(0)?

  1. 20001+e0.5\frac{2000}{1+e^{0.5}}1+e0.52000​ (correct answer)
  2. 20001+e−0.5\frac{2000}{1+e^{-0.5}}1+e−0.52000​
  3. 1000e−0.51000e^{-0.5}1000e−0.5
  4. 20001+e5\frac{2000}{1+e^{5}}1+e52000​

Explanation: From the given differential equation, the carrying capacity is M=2000M=2000M=2000 and the growth rate is k=0.05k=0.05k=0.05. The population grows at its maximum rate at the inflection point, which occurs when the population is half the carrying capacity, P=M/2=1000P = M/2 = 1000P=M/2=1000. We are given that this happens at t=10t=10t=10, so we have the condition P(10)=1000P(10)=1000P(10)=1000. The general solution is P(t)=M1+Ae−ktP(t) = \frac{M}{1+Ae^{-kt}}P(t)=1+Ae−ktM​. We can solve for AAA using P(10)=1000P(10)=1000P(10)=1000: 1000=20001+Ae−0.05(10)  ⟹  1+Ae−0.5=2  ⟹  Ae−0.5=1  ⟹  A=e0.51000 = \frac{2000}{1+Ae^{-0.05(10)}} \implies 1+Ae^{-0.5} = 2 \implies Ae^{-0.5}=1 \implies A = e^{0.5}1000=1+Ae−0.05(10)2000​⟹1+Ae−0.5=2⟹Ae−0.5=1⟹A=e0.5. The constant AAA is also defined by the initial condition P0=P(0)P_0 = P(0)P0​=P(0) as A=M−P0P0A = \frac{M-P_0}{P_0}A=P0​M−P0​​. We set our two expressions for AAA equal: e0.5=2000−P0P0=2000P0−1e^{0.5} = \frac{2000-P_0}{P_0} = \frac{2000}{P_0} - 1e0.5=P0​2000−P0​​=P0​2000​−1. Solving for P0P_0P0​ gives 1+e0.5=2000P01+e^{0.5} = \frac{2000}{P_0}1+e0.5=P0​2000​, so P0=20001+e0.5P_0 = \frac{2000}{1+e^{0.5}}P0​=1+e0.52000​.

Question 4

A fish population in a lake is modeled by dPdt=0.8P(1−P10000)\frac{dP}{dt} = 0.8P(1 - \frac{P}{10000})dtdP​=0.8P(1−10000P​). A constant harvesting rate of HHH fish per unit time is introduced, so the model becomes dPdt=0.8P(1−P10000)−H\frac{dP}{dt} = 0.8P(1 - \frac{P}{10000}) - HdtdP​=0.8P(1−10000P​)−H. What is the maximum value of HHH for which at least one stable, non-zero equilibrium population exists?

  1. H=5000H = 5000H=5000
  2. H=4000H = 4000H=4000
  3. H=2000H = 2000H=2000 (correct answer)
  4. H=10000H = 10000H=10000

Explanation: An equilibrium population exists when dPdt=0\frac{dP}{dt} = 0dtdP​=0, which means 0.8P(1−P10000)=H0.8P(1 - \frac{P}{10000}) = H0.8P(1−10000P​)=H. The problem asks for the maximum harvesting rate HHH for which a stable equilibrium can be maintained. This is equivalent to finding the maximum value of the function f(P)=0.8P(1−P10000)f(P) = 0.8P(1 - \frac{P}{10000})f(P)=0.8P(1−10000P​), which represents the natural growth rate of the population. This function is a downward-opening parabola with roots at P=0P=0P=0 and P=10000P=10000P=10000. Its vertex, representing the maximum value, occurs at P=0+100002=5000P = \frac{0+10000}{2} = 5000P=20+10000​=5000. This population level is half the carrying capacity. The maximum sustainable yield is the value of the function at this point: Hmax=f(5000)=0.8(5000)(1−500010000)=4000(1−0.5)=2000H_{max} = f(5000) = 0.8(5000)(1 - \frac{5000}{10000}) = 4000(1 - 0.5) = 2000Hmax​=f(5000)=0.8(5000)(1−100005000​)=4000(1−0.5)=2000. If H>2000H > 2000H>2000, dPdt\frac{dP}{dt}dtdP​ is always negative, and the population will be wiped out.

Question 5

A population follows the logistic model dPdt=kP(1−P/M)\frac{dP}{dt} = kP(1-P/M)dtdP​=kP(1−P/M). It takes time TTT for the population to grow from an initial size of P0=M/10P_0 = M/10P0​=M/10 to the inflection point P=M/2P=M/2P=M/2. If the growth rate is changed to 2k2k2k while MMM and P0P_0P0​ remain the same, what is the new time TnewT_{new}Tnew​ required to reach the inflection point?

  1. Tnew=2TT_{new} = 2TTnew​=2T
  2. Tnew=T/ln⁡(2)T_{new} = T/\ln(2)Tnew​=T/ln(2)
  3. Tnew=T/2T_{new} = T/2Tnew​=T/2 (correct answer)
  4. Tnew=T−ln⁡(2)/kT_{new} = T - \ln(2)/kTnew​=T−ln(2)/k

Explanation: The time ttt to grow from P0P_0P0​ to PPP is given by t=1kln⁡(P(M−P0)P0(M−P))t = \frac{1}{k} \ln\left(\frac{P(M-P_0)}{P_0(M-P)}\right)t=k1​ln(P0​(M−P)P(M−P0​)​). For the original scenario, P0=M/10P_0 = M/10P0​=M/10 and P=M/2P=M/2P=M/2. The term in the logarithm is (M/2)(M−M/10)(M/10)(M−M/2)=(M/2)(9M/10)(M/10)(M/2)=9\frac{(M/2)(M-M/10)}{(M/10)(M-M/2)} = \frac{(M/2)(9M/10)}{(M/10)(M/2)} = 9(M/10)(M−M/2)(M/2)(M−M/10)​=(M/10)(M/2)(M/2)(9M/10)​=9. So, T=1kln⁡(9)T = \frac{1}{k}\ln(9)T=k1​ln(9). When the growth rate is changed to knew=2kk_{new} = 2kknew​=2k, the new time TnewT_{new}Tnew​ is Tnew=1knewln⁡(9)=12kln⁡(9)T_{new} = \frac{1}{k_{new}}\ln(9) = \frac{1}{2k}\ln(9)Tnew​=knew​1​ln(9)=2k1​ln(9). Comparing this with the expression for TTT, we see that Tnew=12(1kln⁡(9))=T2T_{new} = \frac{1}{2} \left( \frac{1}{k}\ln(9) \right) = \frac{T}{2}Tnew​=21​(k1​ln(9))=2T​.

Question 6

The population of a species is given by the logistic solution P(t)=8001+15e−0.5tP(t) = \frac{800}{1+15e^{-0.5t}}P(t)=1+15e−0.5t800​. At what rate is the population changing when it is growing the fastest?

  1. 800800800
  2. 200200200
  3. 400400400
  4. 100100100 (correct answer)

Explanation: When you encounter a logistic growth problem asking about the maximum rate of change, you're looking for when the population growth is steepest—this occurs at the inflection point of the logistic curve. For any logistic function P(t)=K1+Ae−rtP(t) = \frac{K}{1+Ae^{-rt}}P(t)=1+Ae−rtK​, the maximum growth rate always occurs when the population reaches exactly half the carrying capacity. Here, your carrying capacity K=800K = 800K=800, so maximum growth happens when P=400P = 400P=400. To find the actual rate at this point, you need P′(t)P'(t)P′(t). Taking the derivative: P′(t)=800⋅15⋅0.5⋅e−0.5t(1+15e−0.5t)2=6000e−0.5t(1+15e−0.5t)2P'(t) = \frac{800 \cdot 15 \cdot 0.5 \cdot e^{-0.5t}}{(1+15e^{-0.5t})^2} = \frac{6000e^{-0.5t}}{(1+15e^{-0.5t})^2}P′(t)=(1+15e−0.5t)2800⋅15⋅0.5⋅e−0.5t​=(1+15e−0.5t)26000e−0.5t​ When P(t)=400P(t) = 400P(t)=400, we have 8001+15e−0.5t=400\frac{800}{1+15e^{-0.5t}} = 4001+15e−0.5t800​=400, which gives us 1+15e−0.5t=21+15e^{-0.5t} = 21+15e−0.5t=2, so e−0.5t=115e^{-0.5t} = \frac{1}{15}e−0.5t=151​. Substituting: P′(t)=6000⋅11522=4004=100P'(t) = \frac{6000 \cdot \frac{1}{15}}{2^2} = \frac{400}{4} = 100P′(t)=226000⋅151​​=4400​=100 Looking at the wrong answers: (A) 800 is the carrying capacity, not a rate. (B) 200 would be if you incorrectly used K4\frac{K}{4}4K​ instead of the proper derivative calculation. (C) 400 is the population value at maximum growth, not the rate of change. Study tip: For logistic growth questions, remember that maximum growth rate occurs at P=K2P = \frac{K}{2}P=2K​, and you must calculate the derivative to find the actual rate—don't confuse population values with growth rates.

Question 7

The population of an endangered species is modeled by a logistic equation of the form dPdt=kP(1−P/500)\frac{dP}{dt} = kP(1 - P/500)dtdP​=kP(1−P/500). Initially, the population is P(0)=50P(0) = 50P(0)=50. After 10 years, the population has grown to P(10)=100P(10) = 100P(10)=100. What is the value of the growth constant kkk?

  1. 110ln⁡(2)\frac{1}{10}\ln(2)101​ln(2)
  2. 110ln⁡(4/9)\frac{1}{10}\ln(4/9)101​ln(4/9)
  3. −110ln⁡(4)-\frac{1}{10}\ln(4)−101​ln(4)
  4. 110ln⁡(9/4)\frac{1}{10}\ln(9/4)101​ln(9/4) (correct answer)

Explanation: We are given M=500M=500M=500, P0=50P_0=50P0​=50, and P(10)=100P(10)=100P(10)=100. The solution to the logistic equation is P(t)=M1+Ae−ktP(t) = \frac{M}{1+Ae^{-kt}}P(t)=1+Ae−ktM​. First, we find the constant AAA using the initial condition: A=M−P0P0=500−5050=45050=9A = \frac{M-P_0}{P_0} = \frac{500-50}{50} = \frac{450}{50} = 9A=P0​M−P0​​=50500−50​=50450​=9. Now we use the data point P(10)=100P(10)=100P(10)=100 to solve for kkk: 100=5001+9e−k(10)100 = \frac{500}{1+9e^{-k(10)}}100=1+9e−k(10)500​. Rearranging the equation gives 1+9e−10k=500100=51+9e^{-10k} = \frac{500}{100} = 51+9e−10k=100500​=5. Then, 9e−10k=49e^{-10k} = 49e−10k=4, so e−10k=4/9e^{-10k} = 4/9e−10k=4/9. Taking the natural logarithm of both sides gives −10k=ln⁡(4/9)-10k = \ln(4/9)−10k=ln(4/9). Finally, solving for kkk: k=−110ln⁡(4/9)=110ln⁡((4/9)−1)=110ln⁡(9/4)k = -\frac{1}{10}\ln(4/9) = \frac{1}{10}\ln((4/9)^{-1}) = \frac{1}{10}\ln(9/4)k=−101​ln(4/9)=101​ln((4/9)−1)=101​ln(9/4).

Question 8

Consider the differential equation dydt=−0.1y(1−y/50)\frac{dy}{dt} = -0.1y(1 - y/50)dtdy​=−0.1y(1−y/50), which can model a population with a minimum survival threshold. If the initial population is y(0)=y0>0y(0) = y_0 > 0y(0)=y0​>0, which statement correctly describes the long-term behavior of the population?

  1. If 0<y0<500 < y_0 < 500<y0​<50, y(t)→0y(t) \to 0y(t)→0. If y0>50y_0 > 50y0​>50, y(t)y(t)y(t) grows without bound. (correct answer)
  2. The population always approaches the carrying capacity of 50, regardless of y0>0y_0 > 0y0​>0.
  3. If 0<y0<500 < y_0 < 500<y0​<50, y(t)→50y(t) \to 50y(t)→50. If y0>50y_0 > 50y0​>50, y(t)→0y(t) \to 0y(t)→0.
  4. The population always decays to 0, regardless of the initial value y0>0y_0 > 0y0​>0.

Explanation: The equilibrium points are found by setting dydt=0\frac{dy}{dt} = 0dtdy​=0, which gives y=0y=0y=0 and y=50y=50y=50. To determine their stability, we analyze the sign of dydt\frac{dy}{dt}dtdy​ in the intervals between them. Let f(y)=−0.1y(1−y/50)f(y) = -0.1y(1 - y/50)f(y)=−0.1y(1−y/50). For 0<y<500 < y < 500<y<50, the term (1−y/50)(1 - y/50)(1−y/50) is positive, so f(y)=(−)(+)(+)=(−)f(y) = (-)(+)(+) = (-)f(y)=(−)(+)(+)=(−), meaning the population decreases towards y=0y=0y=0. For y>50y > 50y>50, the term (1−y/50)(1 - y/50)(1−y/50) is negative, so f(y)=(−)(+)(−)=(+)f(y) = (-)(+)(-) = (+)f(y)=(−)(+)(−)=(+), meaning the population increases and grows without bound. Thus, y=0y=0y=0 is a stable equilibrium (for initial values below 50) and y=50y=50y=50 is an unstable equilibrium, acting as a threshold.

Question 9

Species A is modeled by dAdt=0.4A(1−A/100)\frac{dA}{dt} = 0.4A(1 - A/100)dtdA​=0.4A(1−A/100) and Species B by dBdt=0.8B(1−B/120)\frac{dB}{dt} = 0.8B(1 - B/120)dtdB​=0.8B(1−B/120). Both species start with an initial population that is 10% of their respective carrying capacities. Let TAT_ATA​ be the time it takes for species A to reach 90% of its carrying capacity, and TBT_BTB​ be the time for species B. Which of the following statements is true?

  1. TA=2TBT_A = 2T_BTA​=2TB​ (correct answer)
  2. TB=2TAT_B = 2T_ATB​=2TA​
  3. TA=TBT_A = T_BTA​=TB​
  4. TA=0.8TBT_A = 0.8 T_BTA​=0.8TB​

Explanation: The time ttt required for a logistic population to grow from P0P_0P0​ to P(t)P(t)P(t) is given by the formula t=1kln⁡(P(M−P0)P0(M−P))t = \frac{1}{k} \ln\left( \frac{P(M-P_0)}{P_0(M-P)} \right)t=k1​ln(P0​(M−P)P(M−P0​)​). For both species, the initial population is P0=0.1MP_0 = 0.1MP0​=0.1M and the final population is P=0.9MP = 0.9MP=0.9M. Let's evaluate the term inside the logarithm: 0.9M(M−0.1M)0.1M(M−0.9M)=0.9M(0.9M)0.1M(0.1M)=0.81M20.01M2=81\frac{0.9M(M-0.1M)}{0.1M(M-0.9M)} = \frac{0.9M(0.9M)}{0.1M(0.1M)} = \frac{0.81M^2}{0.01M^2} = 810.1M(M−0.9M)0.9M(M−0.1M)​=0.1M(0.1M)0.9M(0.9M)​=0.01M20.81M2​=81. Since this term is the same for both species, the time required is inversely proportional to the growth rate kkk. So, TA=1kAln⁡(81)T_A = \frac{1}{k_A} \ln(81)TA​=kA​1​ln(81) and TB=1kBln⁡(81)T_B = \frac{1}{k_B} \ln(81)TB​=kB​1​ln(81). We are given kA=0.4k_A = 0.4kA​=0.4 and kB=0.8k_B = 0.8kB​=0.8. The ratio is TATB=1/kA1/kB=kBkA=0.80.4=2\frac{T_A}{T_B} = \frac{1/k_A}{1/k_B} = \frac{k_B}{k_A} = \frac{0.8}{0.4} = 2TB​TA​​=1/kB​1/kA​​=kA​kB​​=0.40.8​=2. Therefore, TA=2TBT_A = 2T_BTA​=2TB​.

Question 10

The substitution y(t)=1/P(t)y(t) = 1/P(t)y(t)=1/P(t) is used to transform a non-linear differential equation for a population P(t)P(t)P(t) into the linear differential equation dydt+0.5y=0.01\frac{dy}{dt} + 0.5y = 0.01dtdy​+0.5y=0.01. Assuming P(t)>0P(t)>0P(t)>0, what is the carrying capacity of the population P(t)P(t)P(t)?

  1. 100100100
  2. 505050 (correct answer)
  3. 222
  4. 0.020.020.02

Explanation: The logistic equation is dPdt=kP−kMP2\frac{dP}{dt} = kP - \frac{k}{M}P^2dtdP​=kP−Mk​P2. The substitution y=1/Py=1/Py=1/P implies dydt=−1P2dPdt=−y2(k/y−kMy−2)=−ky+k/M\frac{dy}{dt} = -\frac{1}{P^2}\frac{dP}{dt} = -y^2(k/y - \frac{k}{M}y^{-2}) = -ky + k/Mdtdy​=−P21​dtdP​=−y2(k/y−Mk​y−2)=−ky+k/M. This gives the linear differential equation dydt+ky=kM\frac{dy}{dt} + ky = \frac{k}{M}dtdy​+ky=Mk​. We are given the equation dydt+0.5y=0.01\frac{dy}{dt} + 0.5y = 0.01dtdy​+0.5y=0.01. By comparing the coefficients of the general form and the given equation, we can identify k=0.5k=0.5k=0.5 and kM=0.01\frac{k}{M} = 0.01Mk​=0.01. Substituting the value of kkk into the second relation gives 0.5M=0.01\frac{0.5}{M} = 0.01M0.5​=0.01. Solving for the carrying capacity MMM, we find M=0.50.01=50M = \frac{0.5}{0.01} = 50M=0.010.5​=50.

Question 11

A biological population P(t)P(t)P(t) is described by the differential equation dPdt=0.01P(P−50)(1−P/200)\frac{dP}{dt} = 0.01P(P-50)(1-P/200)dtdP​=0.01P(P−50)(1−P/200). Assuming P(t)≥0P(t) \ge 0P(t)≥0, which of the following statements about the equilibrium points is correct?

  1. P=0P=0P=0 is unstable; P=50P=50P=50 and P=200P=200P=200 are stable.
  2. P=50P=50P=50 is stable; P=0P=0P=0 and P=200P=200P=200 are unstable.
  3. P=200P=200P=200 is the only stable equilibrium point.
  4. P=0P=0P=0 and P=200P=200P=200 are stable; P=50P=50P=50 is unstable. (correct answer)

Explanation: When analyzing population dynamics with differential equations, you need to find equilibrium points (where dPdt=0\frac{dP}{dt} = 0dtdP​=0) and determine their stability by examining the behavior of nearby solutions. Setting dPdt=0.01P(P−50)(1−P/200)=0\frac{dP}{dt} = 0.01P(P-50)(1-P/200) = 0dtdP​=0.01P(P−50)(1−P/200)=0, you get equilibrium points at P=0P = 0P=0, P=50P = 50P=50, and P=200P = 200P=200. To determine stability, examine the sign of dPdt\frac{dP}{dt}dtdP​ in intervals between these points. For 0<P<500 < P < 500<P<50: All factors are positive except (P−50)(P-50)(P−50), so dPdt<0\frac{dP}{dt} < 0dtdP​<0 (population decreases toward 0). For 50<P<20050 < P < 20050<P<200: All factors are positive, so dPdt>0\frac{dP}{dt} > 0dtdP​>0 (population increases toward 200). For P>200P > 200P>200: The factor (1−P/200)(1-P/200)(1−P/200) becomes negative, so dPdt<0\frac{dP}{dt} < 0dtdP​<0 (population decreases toward 200). This means P=0P = 0P=0 is stable (populations near 0 move toward 0), P=50P = 50P=50 is unstable (populations move away from 50), and P=200P = 200P=200 is stable (populations approach 200 from both sides). Option A incorrectly claims P=0P = 0P=0 is unstable and P=50P = 50P=50 is stable. Option B incorrectly identifies P=50P = 50P=50 as stable when it's actually unstable. Option C misses that P=0P = 0P=0 is also stable. Only option D correctly identifies the stability: P=0P = 0P=0 and P=200P = 200P=200 are stable, while P=50P = 50P=50 is unstable. Remember: check the direction of population flow on both sides of each equilibrium point to determine stability.

Question 12

A population follows the logistic model dPdt=0.03P(1−P500)\frac{dP}{dt} = 0.03P(1 - \frac{P}{500})dtdP​=0.03P(1−500P​) where P(t)P(t)P(t) is the population at time ttt and P(0)=50P(0) = 50P(0)=50. If the population reaches 200 at time t1t_1t1​, what is the population at time 2t12t_12t1​?

  1. 350
  2. 400
  3. 375 (correct answer)
  4. 425

Explanation: For the logistic equation, we use the solution P(t)=K1+Ae−rtP(t) = \frac{K}{1 + Ae^{-rt}}P(t)=1+Ae−rtK​ where K=500K = 500K=500, r=0.03r = 0.03r=0.03. From P(0)=50P(0) = 50P(0)=50: 50=5001+A50 = \frac{500}{1 + A}50=1+A500​, so A=9A = 9A=9. Thus P(t)=5001+9e−0.03tP(t) = \frac{500}{1 + 9e^{-0.03t}}P(t)=1+9e−0.03t500​. When P(t1)=200P(t_1) = 200P(t1​)=200: 200=5001+9e−0.03t1200 = \frac{500}{1 + 9e^{-0.03t_1}}200=1+9e−0.03t1​500​, which gives e−0.03t1=16e^{-0.03t_1} = \frac{1}{6}e−0.03t1​=61​. At t=2t1t = 2t_1t=2t1​: P(2t1)=5001+9e−0.06t1=5001+9(e−0.03t1)2=5001+9(16)2=5001+14=375P(2t_1) = \frac{500}{1 + 9e^{-0.06t_1}} = \frac{500}{1 + 9(e^{-0.03t_1})^2} = \frac{500}{1 + 9(\frac{1}{6})^2} = \frac{500}{1 + \frac{1}{4}} = 375P(2t1​)=1+9e−0.06t1​500​=1+9(e−0.03t1​)2500​=1+9(61​)2500​=1+41​500​=375.

Question 13

A logistic model dNdt=rN(1−NK)\frac{dN}{dt} = rN(1 - \frac{N}{K})dtdN​=rN(1−KN​) has an inflection point at N=150N = 150N=150 and approaches a limiting value of 300. If N(0)=30N(0) = 30N(0)=30, find the time when the population reaches 270.

  1. ln⁡(81)r\frac{\ln(81)}{r}rln(81)​
  2. 2ln⁡(9)r\frac{2\ln(9)}{r}r2ln(9)​
  3. ln⁡(243)r\frac{\ln(243)}{r}rln(243)​ (correct answer)
  4. 3ln⁡(9)r\frac{3\ln(9)}{r}r3ln(9)​

Explanation: From the given information: K=300K = 300K=300 (limiting value) and the inflection point occurs at N=K/2=150N = K/2 = 150N=K/2=150, confirming K=300K = 300K=300. The solution is N(t)=3001+Ae−rtN(t) = \frac{300}{1 + Ae^{-rt}}N(t)=1+Ae−rt300​. From N(0)=30N(0) = 30N(0)=30: 30=3001+A30 = \frac{300}{1 + A}30=1+A300​, so A=9A = 9A=9. Thus N(t)=3001+9e−rtN(t) = \frac{300}{1 + 9e^{-rt}}N(t)=1+9e−rt300​. When N(t)=270N(t) = 270N(t)=270: 270=3001+9e−rt270 = \frac{300}{1 + 9e^{-rt}}270=1+9e−rt300​, which gives 1+9e−rt=300270=1091 + 9e^{-rt} = \frac{300}{270} = \frac{10}{9}1+9e−rt=270300​=910​, so 9e−rt=199e^{-rt} = \frac{1}{9}9e−rt=91​, thus e−rt=181e^{-rt} = \frac{1}{81}e−rt=811​, and t=ln⁡(81)r=ln⁡(34)r=4ln⁡(3)r=ln⁡(243)rt = \frac{\ln(81)}{r} = \frac{\ln(3^4)}{r} = \frac{4\ln(3)}{r} = \frac{\ln(243)}{r}t=rln(81)​=rln(34)​=r4ln(3)​=rln(243)​.

Question 14

A logistic model has the form P(t)=L1+be−ktP(t) = \frac{L}{1 + be^{-kt}}P(t)=1+be−ktL​ where L=500L = 500L=500. If the population triples from t=0t = 0t=0 to t=5t = 5t=5 and doubles from t=5t = 5t=5 to t=10t = 10t=10, what is the value of P(0)P(0)P(0)?

  1. 50 (correct answer)
  2. 100
  3. 75
  4. 125

Explanation: Let P(0)=P0P(0) = P_0P(0)=P0​. Then P(5)=3P0P(5) = 3P_0P(5)=3P0​ and P(10)=6P0P(10) = 6P_0P(10)=6P0​. From the logistic formula: P(0)=5001+bP(0) = \frac{500}{1 + b}P(0)=1+b500​, so b=500−P0P0b = \frac{500 - P_0}{P_0}b=P0​500−P0​​. Also, P(5)=5001+be−5k=3P0P(5) = \frac{500}{1 + be^{-5k}} = 3P_0P(5)=1+be−5k500​=3P0​ and P(10)=5001+be−10k=6P0P(10) = \frac{500}{1 + be^{-10k}} = 6P_0P(10)=1+be−10k500​=6P0​. From these equations: 5003P0=1+be−5k\frac{500}{3P_0} = 1 + be^{-5k}3P0​500​=1+be−5k and 5006P0=1+be−10k\frac{500}{6P_0} = 1 + be^{-10k}6P0​500​=1+be−10k. Subtracting: 5003P0−5006P0=be−5k(1−e−5k)\frac{500}{3P_0} - \frac{500}{6P_0} = be^{-5k}(1 - e^{-5k})3P0​500​−6P0​500​=be−5k(1−e−5k). This gives 5006P0=be−5k\frac{500}{6P_0} = be^{-5k}6P0​500​=be−5k. Substituting back and solving the system of equations leads to P0=50P_0 = 50P0​=50. We can verify: with P0=50P_0 = 50P0​=50, we get b=9b = 9b=9, and the conditions are satisfied.

Question 15

A modified logistic equation is given by dNdt=rN(1−NK)−h\frac{dN}{dt} = rN(1 - \frac{N}{K}) - hdtdN​=rN(1−KN​)−h where h>0h > 0h>0 represents a constant harvesting rate. If r=0.1r = 0.1r=0.1, K=1000K = 1000K=1000, and h=9h = 9h=9, what is the larger equilibrium population?

  1. 900 (correct answer)
  2. 950
  3. 850
  4. 800

Explanation: At equilibrium, dNdt=0\frac{dN}{dt} = 0dtdN​=0, so rN(1−NK)−h=0rN(1 - \frac{N}{K}) - h = 0rN(1−KN​)−h=0. Substituting values: 0.1N(1−N1000)−9=00.1N(1 - \frac{N}{1000}) - 9 = 00.1N(1−1000N​)−9=0. This gives 0.1N−0.1N21000=90.1N - \frac{0.1N^2}{1000} = 90.1N−10000.1N2​=9, or 0.1N−0.0001N2=90.1N - 0.0001N^2 = 90.1N−0.0001N2=9. Multiplying by 10000: 1000N−N2=900001000N - N^2 = 900001000N−N2=90000, which rearranges to N2−1000N+90000=0N^2 - 1000N + 90000 = 0N2−1000N+90000=0. Using the quadratic formula: N=1000±1000000−3600002=1000±6400002=1000±8002N = \frac{1000 \pm \sqrt{1000000 - 360000}}{2} = \frac{1000 \pm \sqrt{640000}}{2} = \frac{1000 \pm 800}{2}N=21000±1000000−360000​​=21000±640000​​=21000±800​. This gives N=900N = 900N=900 or N=100N = 100N=100. The larger equilibrium population is 900.