A population is modeled by the differential equation . If the initial population is , at what time does the population reach its point of maximum growth rate?
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Differential Equations Quiz
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.
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A population P(t) is modeled by the differential equation dtdP=0.4P−0.001P2. If the initial population is P(0)=50, at what time t does the population reach its point of maximum growth rate?
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.
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A population P(t) is modeled by the differential equation dtdP=0.4P−0.001P2. If the initial population is P(0)=50, at what time t does the population reach its point of maximum growth rate?
Explanation: First, convert the equation to the standard logistic form dtdP=kP(1−MP). Factoring out 0.4P gives dtdP=0.4P(1−0.40.001P)=0.4P(1−400P). From this, we identify the growth rate k=0.4 and the carrying capacity M=400. The maximum growth rate occurs at the inflection point, where P=M/2=200. The solution to the logistic equation is P(t)=1+Ae−ktM, where A=P0M−P0. Here, A=50400−50=7. We need to find the time t when P(t)=200. So, we solve 200=1+7e−0.4t400. This simplifies to 1+7e−0.4t=2, which gives 7e−0.4t=1, or e−0.4t=1/7. Taking the natural logarithm of both sides, −0.4t=ln(1/7)=−ln(7). Therefore, t=0.4ln(7)=2.5ln(7).
The solution to a logistic differential equation is given by P(t)=1+49e−0.2t2500. Which of the following differential equations has this function as its solution?
Explanation: The general solution to a logistic equation is P(t)=1+Ae−ktM. Comparing this to the given solution, we can identify the carrying capacity M=2500, the growth rate k=0.2, and the constant A=49. The standard form of the logistic differential equation is dtdP=kP(1−MP). Substituting the identified parameters, we get dtdP=0.2P(1−2500P). To match the answer choices, we distribute the 0.2P: dtdP=0.2P−25000.2P2=0.2P−0.00008P2.
A population, modeled by the logistic equation dtdP=0.05P(1−2000P), is observed to be growing at its maximum rate at time t=10 years. What was the initial population P(0)?
Explanation: From the given differential equation, the carrying capacity is M=2000 and the growth rate is k=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=1000. We are given that this happens at t=10, so we have the condition P(10)=1000. The general solution is P(t)=1+Ae−ktM. We can solve for A using P(10)=1000: 1000=1+Ae−0.05(10)2000⟹1+Ae−0.5=2⟹Ae−0.5=1⟹A=e0.5. The constant A is also defined by the initial condition P0=P(0) as A=P0M−P0. We set our two expressions for A equal: e0.5=P02000−P0=P02000−1. Solving for P0 gives 1+e0.5=P02000, so P0=1+e0.52000.
A fish population in a lake is modeled by dtdP=0.8P(1−10000P). A constant harvesting rate of H fish per unit time is introduced, so the model becomes dtdP=0.8P(1−10000P)−H. What is the maximum value of H for which at least one stable, non-zero equilibrium population exists?
Explanation: An equilibrium population exists when dtdP=0, which means 0.8P(1−10000P)=H. The problem asks for the maximum harvesting rate H for which a stable equilibrium can be maintained. This is equivalent to finding the maximum value of the function 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=0 and P=10000. Its vertex, representing the maximum value, occurs at P=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)(1−100005000)=4000(1−0.5)=2000. If H>2000, dtdP is always negative, and the population will be wiped out.
A population follows the logistic model dtdP=kP(1−P/M). It takes time T for the population to grow from an initial size of P0=M/10 to the inflection point P=M/2. If the growth rate is changed to 2k while M and P0 remain the same, what is the new time Tnew required to reach the inflection point?
Explanation: The time t to grow from P0 to P is given by t=k1ln(P0(M−P)P(M−P0)). For the original scenario, P0=M/10 and P=M/2. The term in the logarithm is (M/10)(M−M/2)(M/2)(M−M/10)=(M/10)(M/2)(M/2)(9M/10)=9. So, T=k1ln(9). When the growth rate is changed to knew=2k, the new time Tnew is Tnew=knew1ln(9)=2k1ln(9). Comparing this with the expression for T, we see that Tnew=21(k1ln(9))=2T.
The population of a species is given by the logistic solution P(t)=1+15e−0.5t800. At what rate is the population changing when it is growing the fastest?
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)=1+Ae−rtK, the maximum growth rate always occurs when the population reaches exactly half the carrying capacity. Here, your carrying capacity K=800, so maximum growth happens when P=400. To find the actual rate at this point, you need P′(t). Taking the derivative: P′(t)=(1+15e−0.5t)2800⋅15⋅0.5⋅e−0.5t=(1+15e−0.5t)26000e−0.5t When P(t)=400, we have 1+15e−0.5t800=400, which gives us 1+15e−0.5t=2, so e−0.5t=151. Substituting: P′(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 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=2K, and you must calculate the derivative to find the actual rate—don't confuse population values with growth rates.
The population of an endangered species is modeled by a logistic equation of the form dtdP=kP(1−P/500). Initially, the population is P(0)=50. After 10 years, the population has grown to P(10)=100. What is the value of the growth constant k?
Explanation: We are given M=500, P0=50, and P(10)=100. The solution to the logistic equation is P(t)=1+Ae−ktM. First, we find the constant A using the initial condition: A=P0M−P0=50500−50=50450=9. Now we use the data point P(10)=100 to solve for k: 100=1+9e−k(10)500. Rearranging the equation gives 1+9e−10k=100500=5. Then, 9e−10k=4, so e−10k=4/9. Taking the natural logarithm of both sides gives −10k=ln(4/9). Finally, solving for k: k=−101ln(4/9)=101ln((4/9)−1)=101ln(9/4).
Consider the differential equation dtdy=−0.1y(1−y/50), which can model a population with a minimum survival threshold. If the initial population is y(0)=y0>0, which statement correctly describes the long-term behavior of the population?
Explanation: The equilibrium points are found by setting dtdy=0, which gives y=0 and y=50. To determine their stability, we analyze the sign of dtdy in the intervals between them. Let f(y)=−0.1y(1−y/50). For 0<y<50, the term (1−y/50) is positive, so f(y)=(−)(+)(+)=(−), meaning the population decreases towards y=0. For y>50, the term (1−y/50) is negative, so f(y)=(−)(+)(−)=(+), meaning the population increases and grows without bound. Thus, y=0 is a stable equilibrium (for initial values below 50) and y=50 is an unstable equilibrium, acting as a threshold.
Species A is modeled by dtdA=0.4A(1−A/100) and Species B by dtdB=0.8B(1−B/120). Both species start with an initial population that is 10% of their respective carrying capacities. Let TA be the time it takes for species A to reach 90% of its carrying capacity, and TB be the time for species B. Which of the following statements is true?
Explanation: The time t required for a logistic population to grow from P0 to P(t) is given by the formula t=k1ln(P0(M−P)P(M−P0)). For both species, the initial population is P0=0.1M and the final population is P=0.9M. Let's evaluate the term inside the logarithm: 0.1M(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 k. So, TA=kA1ln(81) and TB=kB1ln(81). We are given kA=0.4 and kB=0.8. The ratio is TBTA=1/kB1/kA=kAkB=0.40.8=2. Therefore, TA=2TB.
The substitution y(t)=1/P(t) is used to transform a non-linear differential equation for a population P(t) into the linear differential equation dtdy+0.5y=0.01. Assuming P(t)>0, what is the carrying capacity of the population P(t)?
Explanation: The logistic equation is dtdP=kP−MkP2. The substitution y=1/P implies dtdy=−P21dtdP=−y2(k/y−Mky−2)=−ky+k/M. This gives the linear differential equation dtdy+ky=Mk. We are given the equation dtdy+0.5y=0.01. By comparing the coefficients of the general form and the given equation, we can identify k=0.5 and Mk=0.01. Substituting the value of k into the second relation gives M0.5=0.01. Solving for the carrying capacity M, we find M=0.010.5=50.
A biological population P(t) is described by the differential equation dtdP=0.01P(P−50)(1−P/200). Assuming P(t)≥0, which of the following statements about the equilibrium points is correct?
Explanation: When analyzing population dynamics with differential equations, you need to find equilibrium points (where dtdP=0) and determine their stability by examining the behavior of nearby solutions. Setting dtdP=0.01P(P−50)(1−P/200)=0, you get equilibrium points at P=0, P=50, and P=200. To determine stability, examine the sign of dtdP in intervals between these points. For 0<P<50: All factors are positive except (P−50), so dtdP<0 (population decreases toward 0). For 50<P<200: All factors are positive, so dtdP>0 (population increases toward 200). For P>200: The factor (1−P/200) becomes negative, so dtdP<0 (population decreases toward 200). This means P=0 is stable (populations near 0 move toward 0), P=50 is unstable (populations move away from 50), and P=200 is stable (populations approach 200 from both sides). Option A incorrectly claims P=0 is unstable and P=50 is stable. Option B incorrectly identifies P=50 as stable when it's actually unstable. Option C misses that P=0 is also stable. Only option D correctly identifies the stability: P=0 and P=200 are stable, while P=50 is unstable. Remember: check the direction of population flow on both sides of each equilibrium point to determine stability.
A population follows the logistic model dtdP=0.03P(1−500P) where P(t) is the population at time t and P(0)=50. If the population reaches 200 at time t1, what is the population at time 2t1?
Explanation: For the logistic equation, we use the solution P(t)=1+Ae−rtK where K=500, r=0.03. From P(0)=50: 50=1+A500, so A=9. Thus P(t)=1+9e−0.03t500. When P(t1)=200: 200=1+9e−0.03t1500, which gives e−0.03t1=61. At t=2t1: P(2t1)=1+9e−0.06t1500=1+9(e−0.03t1)2500=1+9(61)2500=1+41500=375.
A logistic model dtdN=rN(1−KN) has an inflection point at N=150 and approaches a limiting value of 300. If N(0)=30, find the time when the population reaches 270.
Explanation: From the given information: K=300 (limiting value) and the inflection point occurs at N=K/2=150, confirming K=300. The solution is N(t)=1+Ae−rt300. From N(0)=30: 30=1+A300, so A=9. Thus N(t)=1+9e−rt300. When N(t)=270: 270=1+9e−rt300, which gives 1+9e−rt=270300=910, so 9e−rt=91, thus e−rt=811, and t=rln(81)=rln(34)=r4ln(3)=rln(243).
A logistic model has the form P(t)=1+be−ktL where L=500. If the population triples from t=0 to t=5 and doubles from t=5 to t=10, what is the value of P(0)?
Explanation: Let P(0)=P0. Then P(5)=3P0 and P(10)=6P0. From the logistic formula: P(0)=1+b500, so b=P0500−P0. Also, P(5)=1+be−5k500=3P0 and P(10)=1+be−10k500=6P0. From these equations: 3P0500=1+be−5k and 6P0500=1+be−10k. Subtracting: 3P0500−6P0500=be−5k(1−e−5k). This gives 6P0500=be−5k. Substituting back and solving the system of equations leads to P0=50. We can verify: with P0=50, we get b=9, and the conditions are satisfied.
A modified logistic equation is given by dtdN=rN(1−KN)−h where h>0 represents a constant harvesting rate. If r=0.1, K=1000, and h=9, what is the larger equilibrium population?
Explanation: At equilibrium, dtdN=0, so rN(1−KN)−h=0. Substituting values: 0.1N(1−1000N)−9=0. This gives 0.1N−10000.1N2=9, or 0.1N−0.0001N2=9. Multiplying by 10000: 1000N−N2=90000, which rearranges to N2−1000N+90000=0. Using the quadratic formula: N=21000±1000000−360000=21000±640000=21000±800. This gives N=900 or N=100. The larger equilibrium population is 900.