Equilibrium Solutions & Stability - Differential Equations
- What is the sum of all unstable equilibrium solutions for the autonomous equation ? Answer: 0 First, find the equilibrium solutions by setting . This occurs when or . . or . The equilibrium solutions are . Next, determine the stability of each. Let . We analyze the sign of in the intervals between the equilibria. - Interval (e.g., ): . (Arrow up) - Interval (e.g., ): . (Arrow down) - Interval (e.g., ): . (Arrow up) - Interval (e.g., ): . (Arrow down) Based on the phase line: - At : solutions below move away (down), solutions above move away (up). Unstable. - At : solutions below move towards (up), solutions above move towards (down). Stable. - At : solutions below move away (down), solutions above move away (up). Unstable. The unstable equilibrium solutions are and . Their sum is .
- The autonomous differential equation has a single equilibrium solution for two different values of the parameter . What is the sum of the two corresponding equilibrium solutions? Answer: 0 An autonomous differential equation has equilibrium solutions where . For the quadratic equation , there is a single solution for when the discriminant is zero. The discriminant is . Setting the discriminant to zero gives , which yields and . Case 1: . The equation becomes . The single equilibrium solution is . Case 2: . The equation becomes . The single equilibrium solution is . The two equilibrium solutions corresponding to the two values of are and . Their sum is .
- Consider the differential equation , where is a constant. Which statement about the equilibrium solution is correct? Answer: is unstable. When you encounter a differential equation like , you need to analyze the stability of equilibrium points by examining how solutions behave near those points. First, find the equilibrium by setting , which gives us , so is indeed an equilibrium solution. To determine stability, examine what happens when is slightly perturbed from . If , then , making , so . This means increases further away from . If , then , making , so . This means decreases further away from . In both cases, small perturbations grow larger over time, confirming that 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 . Option D is incorrect because the sign of doesn't affect the local behavior near the equilibrium—only the relative position of to 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.
- Consider the autonomous equation . Which of the following correctly describes the stability of its equilibrium solutions on the interval ? Answer: One stable and two semi-stable equilibria. Equilibrium solutions occur when . This requires or . The first gives . The second gives for integer , so . In the interval , this gives . The distinct equilibria are . Let . We use the first derivative test for stability where possible: . At : . So is stable. At : . The test is inconclusive. At : . The test is inconclusive. For and , we must analyze the sign of nearby. Near : For slightly greater than 2, and , so . For slightly less than 2, and , so . Since is negative on both sides, is semi-stable. Near : For slightly greater than -2, and , so . For slightly less than -2, and , so . Since is positive on both sides, is semi-stable. Thus, there is one stable equilibrium () and two semi-stable equilibria ().
- Let be an equilibrium solution of the autonomous differential equation , where is a continuously differentiable function. Which of the following conditions is sufficient to guarantee that is an unstable equilibrium? Answer: . When analyzing the stability of equilibrium solutions for autonomous differential equations, you need to understand how solutions behave near the equilibrium point. For , an equilibrium occurs when , meaning the rate of change is zero. The key insight is that determines the local behavior. If , then near the equilibrium, . This means when , we have , so and increases further from . When , we have , so and decreases further from . In both cases, solutions move away from the equilibrium, making it unstable. Looking at the wrong answers: Choice A () is insufficient because could lead to either stable or unstable behavior depending on higher-order terms. Choice B describes the opposite scenario where solutions converge to , making it stable, not unstable. Choice C ( and ) requires second-derivative analysis and isn't sufficient on its own—you'd need to examine whether changes sign appropriately. Remember this pattern: for autonomous equations , a positive derivative at an equilibrium () creates a "repelling" effect that pushes solutions away, guaranteeing instability. This is the linearization test for stability.
- The phase line for the autonomous equation shows arrows pointing away from on both sides, arrows pointing toward from the left and away from on the right, and arrows pointing toward from both sides. Which function could represent ? Answer: We need: unstable (arrows away on both sides), semi-stable (arrows toward from left, away from right), stable (arrows toward from both sides). For : Near , the sign changes from negative to positive as increases through 2 (unstable). Near , the factor doesn't change sign, but the overall function is negative for and positive for due to the other factors, giving semi-stable behavior. Near , the sign changes from positive to negative (stable).
- For the equation , a bifurcation occurs when the number of equilibrium solutions changes. Which of the following is a value of the parameter 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 is tangent to the y-axis. This means we need to find values of for which the system of equations and has a solution. First, find the critical points of by solving : or . These are the -values where bifurcations can occur. Now, substitute these values back into to find the corresponding values of . Case 1: . . Case 2: . . The bifurcations occur at and . Of the options provided, 16 is a bifurcation value.
- For the logistic equation with harvesting , where , , and are constants, the equilibrium condition becomes . If , what can be concluded about the equilibrium solutions? Answer: There are no real equilibrium solutions, indicating population extinction is inevitable The equilibrium condition can be rewritten as , or . This is a quadratic in with discriminant . When , we have , so . 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.
- An autonomous differential equation has the form where 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 ? Answer: , and the cubic polynomial has three distinct real roots with negative derivative at the middle root For stability analysis, we examine at equilibria where . A equilibrium is stable if . Since we have three distinct roots with the middle one stable, we need . Also, . For a cubic with three real roots and , the function decreases then increases then decreases as we move from left to right through the roots, making the middle root stable () and the outer roots unstable. If , the behavior would be reversed.
- For the differential equation , which initial condition will result in a solution that approaches as ? Answer: When analyzing the long-term behavior of autonomous differential equations like , 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 , which gives . The equilibrium points are and . To determine stability, analyze the sign of in each region. Factor the right side: . Test the sign in each interval: - For : negative × negative × negative = negative, so - For : negative × negative × positive = positive, so - For : positive × negative × positive = negative, so - For : positive × positive × positive = positive, so This shows that is stable (solutions approach it), while are unstable (solutions move away). For the initial conditions: A) means the solution increases away from 0. B) is an unstable equilibrium. D) means the solution decreases toward . Only C) lies in the interval where solutions decrease toward the stable equilibrium at . Study tip: Always find equilibrium points first, then use a sign chart to determine which are stable attractors.
- A fish population, , is modeled by the logistic equation with harvesting, , where is a constant harvesting rate. The population will be driven to extinction for any initial size if the harvesting rate exceeds a critical value . What is this critical value? Answer: 125 The rate of change of the population is . The term represents the natural growth rate of the population. If the harvesting rate is greater than the maximum possible growth rate, then will always be negative, and the population will go to extinction. We need to find the maximum value of . This function is a downward-opening parabola with roots at and . The maximum value occurs at the vertex, which is halfway between the roots, at . The maximum growth rate is . This value is the maximum sustainable yield. If the harvesting rate is greater than 125, then for all , and the population will be driven to extinction. Therefore, the critical value is .
- Consider the autonomous differential equation . Which statement correctly describes the stability of the equilibrium solutions? Answer: is unstable, is stable, and is semi-stable To determine stability, analyze the sign of around each equilibrium. For : for slightly positive and for slightly negative, so solutions move away from 0 (unstable). For : for and for , so solutions approach 1 from both sides (stable). For : the factor creates a double root, making on both sides of , so solutions approach from below but move away from above (semi-stable).
- An autonomous differential equation has exactly three equilibrium points: , , and . It is known that is unstable and is asymptotically stable. Assuming is continuous, which of the following MUST be true about the equilibrium at ? Answer: must be unstable. We can construct a phase line to analyze the stability. The equilibria are at . Since 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 . This means for . Similarly, since 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 for . Now consider : solutions just below 2 move toward 2 (from the left), while solutions just above 2 move away from 2 (toward 5). Therefore, must be unstable.