The first part of the question is just setting up the ODE as a
couple equation in matrix form.
The first part of the question is just setting up the ODE as a couple equation in matrix form.
vector x' = [ the first row is 2 and 8, the second row is -1 and -2] vector x (i) Compute the eigenvalues and eigenvectors of the system. (ii) Use the eigenvalues to classify the equilibrium type of the origin. (iii) Use the eigenvectors as guides to plot a phase portrait of the system. (iv) Present a general solution to the system of ODE. (v) Find the particular solution to this system of ODE if vector x(0) = [...
Suppose 7' = AT, where A is the 2 x 2 matrix below. A= (1 1 1 3 (a) Determine the eigenvalues and eigenvectors of A. (b) Express the general solution of t' = Az in terms of real valued functions. (c) Sketch the phase portrait of the system. Do not forget to label your axes.
Consider the system of coupled ODES: x' = x - y, y = x + xy - 6y (+) (a) Find the critical points (C+, Y*) € R2 of this system. [3 marks] Hint: One critical point is (0,0) and there are two more critical points. (b) For each critical point, find the approximate linear ODE system that is valid in a small neighbourhood of it. [6 marks] (c) Find the eigenvalues of each of the linear systems found in...
I've figured out the first part but am struggling with the
second
(1 point) Consider the linear system -5 3 a. Find the eigenvalues and eigenvectors for the coefficient matrix. and λ2 = b. Find the real-valued solution to the initial value problem y( 334 + 2h, m(0) = 11, 2(0)15. = Use t as the independent variable in your answers. i(t) /2(t) 2 t)
(1 point) Consider the linear system -5 3 a. Find the eigenvalues and eigenvectors for...
2. The spectral decomposition theorem states that the eigenstates of any Hermitian matrix form an orthonormal basis for the linear space. Let us consider a real 3D space where a vector is denoted by a 3x1 column vector. Consider the symmetric matrix B-1 1 1 Show that the vectors 1,0, and1are eigenvectors of B, and find 0 their eigenvalues. Notice that these vectors are not orthogonal. (Of course they are not normalized but let's don't worry about it. You can...
Consider the linear system of first order differential equations x' = Ax, where x = x(t), t > 0, and A has the eigenvalues and eigenvectors below. Sketch the phase portrait. Please label your axes. 11 = 5, V1 = 12 = 2, V2 = ()
Question 2 please
MATH308: Differential Equattons Problems for Chapter 7.6 (Complex-Valued Eigenvalues) 1. The following ODE systems have complex eigenvalues. Find the general solution and sketch the phase plane diagrams 3 -2 1 -A x=( x, 5 -1 1 -1*.(49) mu+ku 0 (50) where u(t) is the displacement at time t of the mass from its equilibrium position (a) Let -und show that the resulting system is 1) (51) b) Find the eigenvalues of the matrix in part (a). (c)...
Hi, I need the full worked solution/explanations for all
parts of this questions please. The final answers to each
part are shown below the question. Clear handwriting is greatly
appreciated. Thank you! :)
Question 5 (a) Solve the eigenvalues and its corresponding eigenvectors of a 2x2 matrix given by 2 0 (8 marks) For the system of differential equations, Зх — у ў 2х + 6е ". (b) Write and explain the system of differential equations in matrix form. (2...
(1) For the following system of ODES: (i) First, convert the system into a matrix equation, then, (ii) Find the eigenvalues, 11 and 12, then, (iii) Find the corresponding eigenvectors, x(1) and x(2), and finally, (iv) Give the general solution (in vector form), ygen, of the system. (Parts (i)-(iii) will be in your work) s y = -241 + 742 y2 = yı + 4y2 General Solution:
($ ?) 4 2. (a) Find the eigenvalues and eigenvectors of the matrix 3 Hence or otherwise find the general solution of the system = 4x + 2y = 3x - y 195 marks 5. (a) Give a precise definition of Laplace transform of a function f(t). Use your definition to determine the Laplace transform of 3. Osts 2 6-t, 2 <t f(t) = [20 marks] (b) A logistic initial value problem is given by dP dt kP(M-P), P(0) -...