Equilibrium Solutions & Stability - Differential Equations

  1. What is the sum of all unstable equilibrium solutions for the autonomous equation dy/dt=(ey−1)(y2−1)dy/dt = (e^y - 1)(y^2 - 1)?
    Answer: 0 First, find the equilibrium solutions by setting dy/dt=0dy/dt = 0. This occurs when ey−1=0e^y - 1 = 0 or y2−1=0y^2 - 1 = 0. ey−1=0  ⟹  ey=1  ⟹  y=0e^y - 1 = 0 \implies e^y = 1 \implies y = 0. y2−1=0  ⟹  (y−1)(y+1)=0  ⟹  y=1y^2 - 1 = 0 \implies (y-1)(y+1) = 0 \implies y = 1 or y=−1y = -1. The equilibrium solutions are y=−1,0,1y = -1, 0, 1. Next, determine the stability of each. Let f(y)=(ey−1)(y−1)(y+1)f(y) = (e^y - 1)(y - 1)(y + 1). We analyze the sign of f(y)f(y) in the intervals between the equilibria. - Interval y>1y > 1 (e.g., y=2y=2): f(2)=(e2−1)(1)(3)>0f(2) = (e^2-1)(1)(3) > 0. (Arrow up) - Interval 0<y<10 < y < 1 (e.g., y=0.5y=0.5): f(0.5)=(e0.5−1)(−0.5)(1.5)<0f(0.5) = (e^{0.5}-1)(-0.5)(1.5) < 0. (Arrow down) - Interval −1<y<0-1 < y < 0 (e.g., y=−0.5y=-0.5): f(−0.5)=(e−0.5−1)(−1.5)(0.5)>0f(-0.5) = (e^{-0.5}-1)(-1.5)(0.5) > 0. (Arrow up) - Interval y<−1y < -1 (e.g., y=−2y=-2): f(−2)=(e−2−1)(−3)(−1)<0f(-2) = (e^{-2}-1)(-3)(-1) < 0. (Arrow down) Based on the phase line: - At y=1y=1: solutions below move away (down), solutions above move away (up). Unstable. - At y=0y=0: solutions below move towards (up), solutions above move towards (down). Stable. - At y=−1y=-1: solutions below move away (down), solutions above move away (up). Unstable. The unstable equilibrium solutions are y=−1y=-1 and y=1y=1. Their sum is (−1)+1=0(-1) + 1 = 0.
  2. The autonomous differential equation dy/dt=y2−ay+4dy/dt = y^2 - ay + 4 has a single equilibrium solution for two different values of the parameter aa. What is the sum of the two corresponding equilibrium solutions?
    Answer: 0 An autonomous differential equation has equilibrium solutions where dy/dt=0dy/dt = 0. For the quadratic equation y2−ay+4=0y^2 - ay + 4 = 0, there is a single solution for yy when the discriminant is zero. The discriminant is b2−4ac=(−a)2−4(1)(4)=a2−16b^2 - 4ac = (-a)^2 - 4(1)(4) = a^2 - 16. Setting the discriminant to zero gives a2−16=0a^2 - 16 = 0, which yields a=4a=4 and a=−4a=-4. Case 1: a=4a=4. The equation becomes dy/dt=y2−4y+4=(y−2)2dy/dt = y^2 - 4y + 4 = (y-2)^2. The single equilibrium solution is y=2y=2. Case 2: a=−4a=-4. The equation becomes dy/dt=y2+4y+4=(y+2)2dy/dt = y^2 + 4y + 4 = (y+2)^2. The single equilibrium solution is y=−2y=-2. The two equilibrium solutions corresponding to the two values of aa are 22 and −2-2. Their sum is 2+(−2)=02 + (-2) = 0.
  3. Consider the differential equation dy/dt=(y−α)3dy/dt = (y - \alpha)^3, where α\alpha is a constant. Which statement about the equilibrium solution y=αy=\alpha is correct?
    Answer: y=αy=\alpha is unstable. When you encounter a differential equation like dydt=(y−α)3\frac{dy}{dt} = (y - \alpha)^3, you need to analyze the stability of equilibrium points by examining how solutions behave near those points. First, find the equilibrium by setting dydt=0\frac{dy}{dt} = 0, which gives us (y−α)3=0(y - \alpha)^3 = 0, so y=αy = \alpha is indeed an equilibrium solution. To determine stability, examine what happens when yy is slightly perturbed from α\alpha. If y>αy > \alpha, then (y−α)>0(y - \alpha) > 0, making (y−α)3>0(y - \alpha)^3 > 0, so dydt>0\frac{dy}{dt} > 0. This means yy increases further away from α\alpha. If y<αy < \alpha, then (y−α)<0(y - \alpha) < 0, making (y−α)3<0(y - \alpha)^3 < 0, so dydt<0\frac{dy}{dt} < 0. This means yy decreases further away from α\alpha. In both cases, small perturbations grow larger over time, confirming that y=αy = \alpha is unstable. Option A is incorrect because semi-stability occurs when solutions approach the equilibrium from one side but diverge from the other—that's not the case here. Option B is wrong since stable equilibria attract nearby solutions, but we've shown solutions move away from y=αy = \alpha. Option D is incorrect because the sign of α\alpha doesn't affect the local behavior near the equilibrium—only the relative position of yy to α\alpha matters. Study tip: For polynomial right-hand sides, always check the sign of the derivative on both sides of an equilibrium point. If it has the same sign as the perturbation direction, the equilibrium is unstable.
  4. Consider the autonomous equation dy/dt=(y2−4)sin⁡(πy2)dy/dt = (y^2 - 4) \sin(\frac{\pi y}{2}). Which of the following correctly describes the stability of its equilibrium solutions on the interval −3≤y≤3-3 \le y \le 3?
    Answer: One stable and two semi-stable equilibria. Equilibrium solutions occur when dy/dt=0dy/dt = 0. This requires y2−4=0y^2-4=0 or sin⁡(πy2)=0\sin(\frac{\pi y}{2})=0. The first gives y=±2y=\pm 2. The second gives πy2=nπ\frac{\pi y}{2} = n\pi for integer nn, so y=2ny=2n. In the interval [−3,3][-3, 3], this gives y=−2,0,2y=-2, 0, 2. The distinct equilibria are y=−2,0,2y=-2, 0, 2. Let f(y)=(y2−4)sin⁡(πy2)f(y) = (y^2 - 4) \sin(\frac{\pi y}{2}). We use the first derivative test for stability where possible: f′(y)=2ysin⁡(πy2)+(y2−4)π2cos⁡(πy2)f'(y) = 2y\sin(\frac{\pi y}{2}) + (y^2-4)\frac{\pi}{2}\cos(\frac{\pi y}{2}). At y=0y=0: f′(0)=0+(−4)(π2)cos⁡(0)=−2π<0f'(0) = 0 + (-4)(\frac{\pi}{2})\cos(0) = -2\pi < 0. So y=0y=0 is stable. At y=2y=2: f′(2)=4sin⁡(π)+(0)...=0f'(2) = 4\sin(\pi) + (0)... = 0. The test is inconclusive. At y=−2y=-2: f′(−2)=−4sin⁡(−π)+(0)...=0f'(-2) = -4\sin(-\pi) + (0)... = 0. The test is inconclusive. For y=2y=2 and y=−2y=-2, we must analyze the sign of f(y)f(y) nearby. Near y=2y=2: For yy slightly greater than 2, y2−4>0y^2-4>0 and sin⁡(πy2)<0\sin(\frac{\pi y}{2})<0, so f(y)<0f(y)<0. For yy slightly less than 2, y2−4<0y^2-4<0 and sin⁡(πy2)>0\sin(\frac{\pi y}{2})>0, so f(y)<0f(y)<0. Since f(y)f(y) is negative on both sides, y=2y=2 is semi-stable. Near y=−2y=-2: For yy slightly greater than -2, y2−4<0y^2-4<0 and sin⁡(πy2)<0\sin(\frac{\pi y}{2})<0, so f(y)>0f(y)>0. For yy slightly less than -2, y2−4>0y^2-4>0 and sin⁡(πy2)>0\sin(\frac{\pi y}{2})>0, so f(y)>0f(y)>0. Since f(y)f(y) is positive on both sides, y=−2y=-2 is semi-stable. Thus, there is one stable equilibrium (y=0y=0) and two semi-stable equilibria (y=±2y=\pm 2).
  5. Let y=cy=c be an equilibrium solution of the autonomous differential equation dy/dt=f(y)dy/dt = f(y), where ff is a continuously differentiable function. Which of the following conditions is sufficient to guarantee that y=cy=c is an unstable equilibrium?
    Answer: f′(c)>0f'(c) > 0. When analyzing the stability of equilibrium solutions for autonomous differential equations, you need to understand how solutions behave near the equilibrium point. For dy/dt=f(y)dy/dt = f(y), an equilibrium y=cy = c occurs when f(c)=0f(c) = 0, meaning the rate of change is zero. The key insight is that f′(c)f'(c) determines the local behavior. If f′(c)>0f'(c) > 0, then near the equilibrium, f(y)≈f′(c)(y−c)f(y) \approx f'(c)(y-c). This means when y>cy > c, we have f(y)>0f(y) > 0, so dy/dt>0dy/dt > 0 and yy increases further from cc. When y<cy < c, we have f(y)<0f(y) < 0, so dy/dt<0dy/dt < 0 and yy decreases further from cc. In both cases, solutions move away from the equilibrium, making it unstable. Looking at the wrong answers: Choice A (f′(c)≥0f'(c) \geq 0) is insufficient because f′(c)=0f'(c) = 0 could lead to either stable or unstable behavior depending on higher-order terms. Choice B describes the opposite scenario where solutions converge to cc, making it stable, not unstable. Choice C (f′(c)=0f'(c) = 0 and f′′(c)>0f''(c) > 0) requires second-derivative analysis and isn't sufficient on its own—you'd need to examine whether ff changes sign appropriately. Remember this pattern: for autonomous equations dy/dt=f(y)dy/dt = f(y), a positive derivative at an equilibrium (f′(c)>0f'(c) > 0) creates a "repelling" effect that pushes solutions away, guaranteeing instability. This is the linearization test for stability.
  6. The phase line for the autonomous equation dydt=f(y)\frac{dy}{dt} = f(y) shows arrows pointing away from y=2y = 2 on both sides, arrows pointing toward y=5y = 5 from the left and away from y=5y = 5 on the right, and arrows pointing toward y=8y = 8 from both sides. Which function could represent f(y)f(y)?
    Answer: f(y)=(y−2)(y−5)2(y−8)f(y) = (y-2)(y-5)^2(y-8) We need: y=2y = 2 unstable (arrows away on both sides), y=5y = 5 semi-stable (arrows toward from left, away from right), y=8y = 8 stable (arrows toward from both sides). For f(y)=(y−2)(y−5)2(y−8)f(y) = (y-2)(y-5)^2(y-8): Near y=2y = 2, the sign changes from negative to positive as yy increases through 2 (unstable). Near y=5y = 5, the factor (y−5)2(y-5)^2 doesn't change sign, but the overall function is negative for y<5y < 5 and positive for y>5y > 5 due to the other factors, giving semi-stable behavior. Near y=8y = 8, the sign changes from positive to negative (stable).
  7. For the equation dy/dt=y3−12y+hdy/dt = y^3 - 12y + h, a bifurcation occurs when the number of equilibrium solutions changes. Which of the following is a value of the parameter hh at which a bifurcation occurs?
    Answer: 16 Bifurcations in this type of system occur when two or more equilibrium points coalesce. This corresponds to a point where the graph of f(y)=y3−12y+hf(y) = y^3 - 12y + h is tangent to the y-axis. This means we need to find values of hh for which the system of equations f(y)=0f(y)=0 and f′(y)=0f'(y)=0 has a solution. First, find the critical points of f(y)f(y) by solving f′(y)=0f'(y) = 0: f′(y)=3y2−12=0f'(y) = 3y^2 - 12 = 0 3(y2−4)=03(y^2 - 4) = 0 y=2y = 2 or y=−2y = -2. These are the yy-values where bifurcations can occur. Now, substitute these values back into f(y)=0f(y)=0 to find the corresponding values of hh. Case 1: y=2y=2. f(2)=(2)3−12(2)+h=0f(2) = (2)^3 - 12(2) + h = 0 8−24+h=08 - 24 + h = 0 −16+h=0  ⟹  h=16-16 + h = 0 \implies h = 16. Case 2: y=−2y=-2. f(−2)=(−2)3−12(−2)+h=0f(-2) = (-2)^3 - 12(-2) + h = 0 −8+24+h=0-8 + 24 + h = 0 16+h=0  ⟹  h=−1616 + h = 0 \implies h = -16. The bifurcations occur at h=16h=16 and h=−16h=-16. Of the options provided, 16 is a bifurcation value.
  8. For the logistic equation with harvesting dNdt=rN(1−NK)−H\frac{dN}{dt} = rN\left(1-\frac{N}{K}\right) - H, where r>0r > 0, K>0K > 0, and H>0H > 0 are constants, the equilibrium condition becomes rN(1−NK)=HrN\left(1-\frac{N}{K}\right) = H. If H>rK4H > \frac{rK}{4}, what can be concluded about the equilibrium solutions?
    Answer: There are no real equilibrium solutions, indicating population extinction is inevitable The equilibrium condition rN(1−NK)=HrN(1-\frac{N}{K}) = H can be rewritten as rN−rN2K=HrN - \frac{rN^2}{K} = H, or rN2K−rN+H=0\frac{rN^2}{K} - rN + H = 0. This is a quadratic in NN with discriminant Δ=r2−4⋅rK⋅H=r2−4rHK=r2(1−4HrK)\Delta = r^2 - 4 \cdot \frac{r}{K} \cdot H = r^2 - \frac{4rH}{K} = r^2(1 - \frac{4H}{rK}). When H>rK4H > \frac{rK}{4}, we have 4HrK>1\frac{4H}{rK} > 1, so Δ<0\Delta < 0. This means no real solutions exist for the equilibrium condition, indicating that harvesting exceeds the maximum sustainable yield and the population will inevitably go extinct.
  9. An autonomous differential equation has the form dydt=ay3+by2+cy+d\frac{dy}{dt} = ay^3 + by^2 + cy + d where a,b,c,da, b, c, d are real constants. If this equation has exactly three distinct equilibrium solutions and the middle equilibrium (when ordered from smallest to largest) is stable, what must be true about the leading coefficient aa?
    Answer: a>0a > 0, and the cubic polynomial has three distinct real roots with negative derivative at the middle root For stability analysis, we examine f′(y)f'(y) at equilibria where f(y)=ay3+by2+cy+df(y) = ay^3 + by^2 + cy + d. A equilibrium y0y_0 is stable if f′(y0)<0f'(y_0) < 0. Since we have three distinct roots with the middle one stable, we need f′(ymiddle)<0f'(y_{middle}) < 0. Also, f′(y)=3ay2+2by+cf'(y) = 3ay^2 + 2by + c. For a cubic with three real roots and a>0a > 0, the function decreases then increases then decreases as we move from left to right through the roots, making the middle root stable (f′(ymiddle)<0f'(y_{middle}) < 0) and the outer roots unstable. If a<0a < 0, the behavior would be reversed.
  10. For the differential equation dy/dt=y3−4ydy/dt = y^3 - 4y, which initial condition y(0)=y0y(0) = y_0 will result in a solution y(t)y(t) that approaches 00 as t→∞t \to \infty?
    Answer: y0=1y_0 = 1 When analyzing the long-term behavior of autonomous differential equations like dydt=y3−4y\frac{dy}{dt} = y^3 - 4y, you need to identify equilibrium points and determine their stability. This tells you where solutions will go as time approaches infinity. First, find the equilibrium points by setting y3−4y=0y^3 - 4y = 0, which gives y(y2−4)=0y(y^2 - 4) = 0. The equilibrium points are y=0,y=2,y = 0, y = 2, and y=−2y = -2. To determine stability, analyze the sign of dydt\frac{dy}{dt} in each region. Factor the right side: y3−4y=y(y−2)(y+2)y^3 - 4y = y(y-2)(y+2). Test the sign in each interval: - For y<−2y < -2: negative × negative × negative = negative, so dydt<0\frac{dy}{dt} < 0 - For −2<y<0-2 < y < 0: negative × negative × positive = positive, so dydt>0\frac{dy}{dt} > 0 - For 0<y<20 < y < 2: positive × negative × positive = negative, so dydt<0\frac{dy}{dt} < 0 - For y>2y > 2: positive × positive × positive = positive, so dydt>0\frac{dy}{dt} > 0 This shows that y=0y = 0 is stable (solutions approach it), while y=±2y = ±2 are unstable (solutions move away). For the initial conditions: A) y0=3>2y_0 = 3 > 2 means the solution increases away from 0. B) y0=−2y_0 = -2 is an unstable equilibrium. D) y0=−3<−2y_0 = -3 < -2 means the solution decreases toward −∞-\infty. Only C) y0=1y_0 = 1 lies in the interval (0,2)(0,2) where solutions decrease toward the stable equilibrium at y=0y = 0. Study tip: Always find equilibrium points first, then use a sign chart to determine which are stable attractors.
  11. A fish population, P(t)P(t), is modeled by the logistic equation with harvesting, dP/dt=0.5P(1−P/1000)−hdP/dt = 0.5P(1 - P/1000) - h, where hh is a constant harvesting rate. The population will be driven to extinction for any initial size if the harvesting rate hh exceeds a critical value hcrith_{crit}. What is this critical value?
    Answer: 125 The rate of change of the population is dP/dt=f(P)=0.5P(1−P/1000)−hdP/dt = f(P) = 0.5P(1 - P/1000) - h. The term g(P)=0.5P(1−P/1000)g(P) = 0.5P(1 - P/1000) represents the natural growth rate of the population. If the harvesting rate hh is greater than the maximum possible growth rate, then dP/dtdP/dt will always be negative, and the population will go to extinction. We need to find the maximum value of g(P)g(P). This function is a downward-opening parabola with roots at P=0P=0 and P=1000P=1000. The maximum value occurs at the vertex, which is halfway between the roots, at P=500P = 500. The maximum growth rate is g(500)=0.5(500)(1−500/1000)=250(1−0.5)=250(0.5)=125g(500) = 0.5(500)(1 - 500/1000) = 250(1 - 0.5) = 250(0.5) = 125. This value is the maximum sustainable yield. If the harvesting rate hh is greater than 125, then dP/dt<0dP/dt < 0 for all P>0P>0, and the population will be driven to extinction. Therefore, the critical value is hcrit=125h_{crit} = 125.
  12. Consider the autonomous differential equation dydt=y2(y−1)(y−3)2\frac{dy}{dt} = y^2(y-1)(y-3)^2. Which statement correctly describes the stability of the equilibrium solutions?
    Answer: y=0y = 0 is unstable, y=1y = 1 is stable, and y=3y = 3 is semi-stable To determine stability, analyze the sign of f(y)=y2(y−1)(y−3)2f(y) = y^2(y-1)(y-3)^2 around each equilibrium. For y=0y = 0: f(y)>0f(y) > 0 for yy slightly positive and f(y)=0f(y) = 0 for yy slightly negative, so solutions move away from 0 (unstable). For y=1y = 1: f(y)<0f(y) < 0 for y<1y < 1 and f(y)>0f(y) > 0 for y>1y > 1, so solutions approach 1 from both sides (stable). For y=3y = 3: the factor (y−3)2(y-3)^2 creates a double root, making f(y)>0f(y) > 0 on both sides of y=3y = 3, so solutions approach from below but move away from above (semi-stable).
  13. An autonomous differential equation dy/dt=f(y)dy/dt = f(y) has exactly three equilibrium points: y=0y=0, y=2y=2, and y=5y=5. It is known that y=0y=0 is unstable and y=5y=5 is asymptotically stable. Assuming f(y)f(y) is continuous, which of the following MUST be true about the equilibrium at y=2y=2?
    Answer: y=2y=2 must be unstable. We can construct a phase line to analyze the stability. The equilibria are at y=0,2,5y=0, 2, 5. Since y=0y=0 is unstable, solutions near it move away from 0. Since there are no equilibria between 0 and 2, and solutions starting just above 0 must go somewhere, they must move toward the next equilibrium at y=2y=2. This means f(y)>0f(y) > 0 for y∈(0,2)y \in (0,2). Similarly, since y=5y=5 is stable, solutions near it move toward 5. Since there are no equilibria between 2 and 5, solutions starting just above 2 must move toward 5. This means f(y)>0f(y) > 0 for y∈(2,5)y \in (2,5). Now consider y=2y=2: solutions just below 2 move toward 2 (from the left), while solutions just above 2 move away from 2 (toward 5). Therefore, y=2y=2 must be unstable.

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