Nonhomogeneous Systems — Question 2

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Question 2

Let X′=(−110−1)X+(t1),X(0)=(00).X'=\begin{pmatrix}-1&1\\0&-1\end{pmatrix}X+\binom t1, \qquad X(0)=\binom 00. Both homogeneous eigenvalues are negative, but the forcing has an unbounded component. Use a polynomial particular solution.

Tasks

  1. Find a particular solution of the form Xp=ut+vX_p=ut+v, with constant vectors u,vu,v. Explain why a constant trial cannot suffice.

  2. Add the complete homogeneous family and impose the initial data.

  3. Verify the result in the original equations and determine the limits of x(t)−tx(t)-t and y(t)y(t).

  4. Decide which components are bounded and whether two solutions with different initial data approach one another. Explain why homogeneous stability does not force convergence to a constant here.

Original worksheet page 1: question and worked solution for 5-10-002
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Question 2 – Solution

Strategy. Match polynomial coefficients before imposing initial data; stability controls differences of responses, not the size of an unbounded input.

Step 1: Match the polynomial coefficients. Substituting Xp=ut+vX_p=ut+v gives u=A(ut+v)+(t,1)Tu=A(ut+v)+(t,1)^T. The coefficient of tt requires Au=−(1,0)TAu=-(1,0)^T, hence u=(1,0)Tu=(1,0)^T. The constant equation u=Av+(0,1)Tu=Av+(0,1)^T gives v=(0,1)Tv=(0,1)^T. Thus Xp=(t,1)T\boxed{X_p=(t,1)^T}. A constant trial cannot cancel the forcing’s nonzero coefficient of tt.

Step 2: Complete the family and solve the IVP. The homogeneous solution is e−t(c1+c2t,c2)Te^{-t}(c_1+c_2t,c_2)^T. Initial zero gives c1=0c_1=0, c2=−1c_2=-1, so x=t(1−e−t),y=1−e−t.\boxed{x=t(1-e^{-t}),\qquad y=1-e^{-t}.}

Step 3: Check the original equation and asymptotics. We have x′=1−e−t+te−tx'=1-e^{-t}+te^{-t} and y′=e−ty'=e^{-t}. The right sides −x+y+t-x+y+t and −y+1-y+1 give those same expressions. The initial values vanish. Moreover x−t=−te−t→0x-t=-te^{-t}\to 0 and y→1y\to 1. The first component tracks a growing ramp; its tracking error decays, but its value does not tend to a finite constant.

Step 4: Separate stability from bounded response. On t≥0t\ge 0, yy is bounded between zero and one, while x→∞x\to\infty. For any two solutions, their difference has the form e−t(d1+d2t,d2)T→0e^{-t}(d_1+d_2t,d_2)^T\to 0. Thus initial-data effects disappear even though the common forced response grows. Negative eigenvalues of AA guarantee decay of the homogeneous transient; they do not turn an unbounded polynomial forcing into a bounded steady state. A complete answer therefore describes both the particular response and the transient.

Original worksheet page 2: question and worked solution for 5-10-002

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