Solve the system: \(x^{\prime}=3 x+5 y, y^{\prime}=-x-y\)
Find the general solution to
$$ \vec{x}^{\prime}=\left(\begin{array}{ll} 2 & 1 \\ 0 & 2 \end{array}\right) \vec{x} $$
Find the general solution to
$$ \vec{x}^{\prime}=\left(\begin{array}{ccc} 3 & 0 & -2 \\ 0 & 5 & 0 \\ 2 & 0 & 3 \end{array}\right) \vec{x} $$
1. Solve the system: x' =3x+5y, y' =-x-y2. Find the general solution to
Q1) Find the general solution for \(\vec{x}^{\prime}=\left[\begin{array}{cc}2 & 1 \\ -3 & 6\end{array}\right] \vec{x}\).Q2) Find the general solution for \(\vec{x}^{\prime}=\left[\begin{array}{ll}-1 & 1 \\ -4 & 3\end{array}\right] \vec{x}\).
Let \(A=\left[\begin{array}{ccc}2 & 0 & -1 \\ 1 & -5 & 1 \\ 2 & -7 & 1\end{array}\right]\)a) Compute \(A^{-1} .\)b) Use \(A^{-1}\) to solve the following system of linear exuations:$$ \begin{array}{r} 2 x_{1}+-x_{3}=3 \\ x_{1}-5 x_{2}+x_{3}=1 \\ 2 x_{1}-7 x_{2}+x_{3}=4 \end{array} $$
The given input signal for 2.7.2 is: x(t) = 3 cos(2
π t) + 6 sin(5 π t).Plz explain steps.Given a causal LTI system described by the differential equation find \(H(s),\) the \(\mathrm{ROC}\) of \(H(s),\) and the impulse response \(h(t)\) of the system. Classify the system as stable/unstable. List the poles of \(H(s) .\) You should the Matlab residue command for this problem.(a) \(y^{\prime \prime \prime}+3 y^{\prime \prime}+2 y^{\prime}=x^{\prime \prime}+6 x^{\prime}+6 x\)2.7.2 The signal \(x(t)\) in the previous problem is...
Problem2: Minimal Realizationsa: Find a minimal realization of the following system:$$ \begin{array}{l} \dot{x}(t)=\left[\begin{array}{cc} -1 & 1 \\ 0 & -2 \end{array}\right] x(t)+\left[\begin{array}{l} 1 \\ 0 \end{array}\right] u(t) \\ y(t)=\left[\begin{array}{ll} 1 & 0 \end{array}\right] x(t) \end{array} $$b: Check if the following realization is minimal:$$ \dot{x}(t)=\left[\begin{array}{cc} -1 & 1 \\ 0 & -2 \end{array}\right] x(t)+\left[\begin{array}{l} 0 \\ 1 \end{array}\right] u(t) $$$$ y(t)=\left[\begin{array}{ll} 1 & 0 \end{array}\right] x(t) $$ci Consider a single-input, single-output system given by:$$ \begin{array}{l} \dot{x}(t)=\left[\begin{array}{cccc} -2 & 3 & 0...
The joint p.d.f of \(X\) and \(Y\) is given by$$ f(x, y)=\left\{\begin{array}{ll} c(1-y), & 0 \leq x \leq y \leq 1 \\ 0 & \text { otherwise. } \end{array}\right. $$Determine the value of \(c\). Find the marginal density of \(X\) and the marginal density of \(Y\) Find the conditional density of \(X\) given \(Y\). Are \(X\) and \(Y\) independent? Why? Find \(E(X-2 Y)\).
3. Let \(\quad B=\left[\begin{array}{ll}1 & 2 \\ 2 & 1\end{array}\right]\).(a) Find the Trace of B.(b) Find \(B^{-1}\), the inverse of \(B\).(c) A vector \(\vec{v}\) is an eigenvector of the matrix \(B\) if Matrix-Vector Multiplication \(B \vec{v}\) results in a scaling of the vector \(\vec{v}\). (i.e. \(B \vec{v}=c \vec{v}\), with \(c\) a real number.) Using the definition of Matrix-Vector Multiplication show that the vector \(\vec{v}=\left[\begin{array}{l}1 \\ 1\end{array}\right]\) is an eigenvector of \(B\) with eigenvalue \(c=3\).
The positive, negative and zero sequence bus impedance and admittance matrices of a system are given as follows:\(Z^{+}=Z^{-}=j\left[\begin{array}{ccc}0.14 & 0.11 & 0.125 \\ 0.11 & 0.14 & 0.125 \\ 0.125 & 0.125 & 0.175\end{array}\right] \quad Y^{+}=Y^{-}=j\left[\begin{array}{ccc}-24 & 10 & 10 \\ 10 & -24 & 10 \\ 10 & 10 & -20\end{array}\right]\)\(Z^{0}=j\left[\begin{array}{ccc}0.10 & 0.10 & 0.10 \\ 0.10 & 0.30 & 0.20 \\ 0.10 & 0.20 & 0.30\end{array}\right] \quad Y^{0}=j\left[\begin{array}{ccc}-16.66 & 3.33 & 3.33 \\ 3.33 & -6.66 & 3.33...
Consider the linear system \(A x=b\) where \(A=\left[\begin{array}{rr}2 & -1 \\ -1 & 2\end{array}\right], b=\left[\begin{array}{l}1 \\ 1\end{array}\right], x=\left[\begin{array}{l}1 \\ 1\end{array}\right]\).We showed in class, using the eigenvlaues and eigenvectors of the iteration matrix \(M_{G S}\), that for \(x^{(0)}=\left[\begin{array}{ll}0 & 0\end{array}\right]^{T}\) the error at the \(k^{t h}\) step of the Gauss-Seidel iteration is given by$$ e^{(k)}=\left(\frac{1}{4}\right)^{k}\left[\begin{array}{l} 2 \\ 1 \end{array}\right] $$for \(k \geq 1\). Following the same procedure, derive an analogous expression for the error in Jacobi's method for the same system.
Find the general solution for the following system by the prime integrals method. x' = y / t ; y' = y ( x + 2y - 1 ) / t ( x - 1 )
Solve the boundary value problem $$ \begin{gathered} y^{\prime \prime \prime}=-\frac{1}{x} y^{\prime \prime}+\frac{1}{x^{2}} y^{\prime}+0.1\left(y^{\prime}\right)^{3} \\ y(1)=0 \quad y^{\prime \prime}(1)=0 \quad y(2)=1 \end{gathered} $$Use difference equations method. You can get help from matlab for solving the system.