Practice Test/Quiz 7 (Solutions) You may work in groups of up to 3. Turn in only one set of answers for each group, but be sure to do two things: everyone must write their name on the answer sheet and each person must write the answer to at least one problem. ~ 0 (t) = AY ~ (t), with A = 1) Given the system of differential equations Y 5 α 0 β , find the general solution if a) α = 5, β = 2 The eigenvalues are λ1 = 5 and λ2 = 2 with corresponding eigenvectors ~v1 = −5 3 −5 1 5t ~ (t) = c1 e2t . e + c2 Therefore, the solution is Y 3 0 1 0 and ~v2 = b) α = β = 5 1 0 . To find the second We get a repeated eigenvalue of λ = 5 with only one eigenvector ~v1 = 0 . vector, we solve the system (A − λI)~v2 = ~v1 , which yields ~v2 = 1/5 0 1 1 5t 5t ~ e5t . te + e + c2 Therefore, the solution is Y (t) = c1 1/5 0 0 c) α = β = 0 The eigenvalues are λ1 = 5 and λ2 = 0 with corresponding eigenvectors ~v1 = ~ (t) = c1 Therefore, the solution is Y 1 0 e5t + c2 0 1 1 0 and ~v2 = 0 1 . a b ~ ~ (t) has the given solution. Determine values of a, b, c, 2) Say that the system Y = Y c d and d that will yield the correct solution type. Hint: If either b = 0 or c = 0, then the eigenvalues will both be real. Also, there is more than one correct answer for each part. 0 (t) ~ (t) = c1~v1 e6t + c2~v2 e−3t a) Y Any choice of matrix A will work, as long as the eigenvalues are λ = 6, 3. So we can choose 6 0 . 0 −3 ~ (t) = c1 b) Y 3 0 e2t + c2 3 0 te2t + 0 1 e2t In this part, we have to be more careful since both the eigenvalues AND eigenvectors are known. 3 λ = 2 is a repeated eigenvalue with only one eigenvector , which is clear from the solution 0 form. The second vector results from the same process as in 1(b), so we can pick a matrix and then see what needs to be true. 2 b Say that we use A = , which is the most general form we can use and still know that we 0 2 will have repeated eigenvalues get one but only eigenvector. All that remains is to solve for the 3 0 constant b. Using ~v1 = and ~v2 = , we see that we must have b = 3. 1 0 2 3 Therefore, we have A = . 0 2 ~ (t) has a phase portrait that is periodic with period π (remember that, for c) The solution Y example, the period of cos(nt) is equal to 2π/n) In order for the phase portrait to be periodic, we must have that the eigenvalues are purely imaginary, namely λ = ±βi. In order for the period to be π, then we must have λ = ±2i. 0 2 . Therefore, we need any matrix that has eigenvalues ±2i, so choose A = −2 0 3) Find the general solution to the second-order equation ay 00 + by 0 + cy = 0, assuming that a) b2 − 4ac > 0 The roots of the quadratic equation as2 + bs + c = 0 in this case are s = both real. √ −b+ So the solution is y(t) = c1 e b2 −4ac 2a t √ −b− + c2 e b2 −4ac 2a t √ −b± b2 −4ac , 2a which are . b) b2 − 4ac = 0 If b2 − 4ac = 0, then the root s = −b 2a −b is a repeated root. −b So the solution is y(t) = c1 e 2a t + c2 te 2a t . c) b2 − 4ac < 0 In this case, we have complex roots, which can be written as s = −b So the solution is y(t) = c1 e 2a t cos( √ 4ac−b2 t) 2a −b + c2 e 2a t sin( √ −b 2a √ ± b2 −4ac 2a = −b 2a √ ± 4ac−b2 i. 2a 4ac−b2 t). 2a 4) For the equation my 00 + by 0 + ky = 0, assume that m > 0, b ≥ 0, k > 0, and b2 < 4km. Page 2 a) What type(s) of solutions are possible? That is, what different solution forms could we get? You may want to separately consider the cases b = 0 and b > 0. q q q √ −4km k k k If b = 0, then s = ± 2m = ± m i. So y(t) = c1 cos m t + c2 sin mt . √ √ −b −b If b > 0, then y(t) = c1 e 2m t cos( 4km − b2 t) + c2 e 2m t sin( 4km − b2 t). b) What value does y(t) approach as t → ∞, assuming that b > 0? Why does this make sense (considering what this equation models)? −b Since 2m < 0, then y(t) → 0 as t → ∞. This corresponds to the situation of a mass on a spring being pulled, let go, and slowly returning to equilibrium over time. 3 α ~ Y (t), what different types of equilibrium points are possible 2 0 as the value of α varies? Find all possible value(s) of α for each type. Justify your answer. ~ 0 (t) = 5) For the system Y The characteristic polynomial for this matrix is p(λ) = λ2 − 3λ − 2α, which yields eigenvalues of √ 3 ± 9 + 8α λ= . 2 The eigenvalues change from being complex to real when α = −9/8. If α < −9/8, then we will always have complex eigenvalues with a positive real part. Therefore, the origin will always be a spiral source. √ √ If α > −9/8, the roots will both be real. However, if α > 0, then 9 + 8α > 3 and 3− 9 + 8α < 0. This means that we will have two eigenvalues of opposite signs, hence the origin is a saddle. Finally, if −9/8 < α < 0, we will have two positive eigenvalues, and the origin is a source. We don’t really need to worry about the cases α = −9/8 or α = 0, but it is still a source in either case. Page 3
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