2.39. Expand \(f(x)=\left\{\begin{array}{ll}x & 0<x<4 \\ 8-x & 4<x<8\end{array}\right.\)in a series of (a) sines, (b) cosines.






Let \(\left.x_{(} t\right)=\left\{\begin{array}{rr}t, & 0 \leq t \leq 1 \\ -t, & -1 \leq t \leq 0\end{array}\right.\), be a periodic signal with fundamental period of \(T=2\) and Fourier series coefficients \(a_{k}\).a) Sketch the waveform of \(x(t)\) and \(\frac{d x(t)}{d t}\) b) Calculate \(a_{0}\) c) Determine the Fourier series representation of \(g(t)=\frac{d x(t)}{d t}d) Using the results from Part (c) and the property of continuous-time Fourier series to determine the Fourier series coefficients of \(x(t)\)
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...
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.
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 \(\vec{x}^{\prime}=\left[\begin{array}{ll}-1 & 1 \\ -4 & 3\end{array}\right] \vec{x}\).
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$$ \vec{x}^{\prime}=\left(\begin{array}{ccc} 3 & 0 & -2 \\ 0 & 5 & 0 \\ 2 & 0 & 3 \end{array}\right) \vec{x} $$
Problem \(1 \quad\) Bivariate normal distributionAssume that \(\boldsymbol{X}\) is a bivariate normal random variable with$$ \boldsymbol{\mu}=E \boldsymbol{X}=\left(\begin{array}{l} 0 \\ 2 \end{array}\right) \quad \text { and } \quad \Sigma=\operatorname{Cov} \boldsymbol{X}=\left(\begin{array}{ll} 3 & 1 \\ 1 & 3 \end{array}\right) $$Let$$ \boldsymbol{Y}=\left(\begin{array}{l} Y_{1} \\ Y_{2} \end{array}\right)=\left(\begin{array}{lr} 1 / \sqrt{2} & -1 / \sqrt{2} \\ 1 / \sqrt{2} & 1 / \sqrt{2} \end{array}\right) \boldsymbol{X} $$a) Find the mean vector and covariance matrix of \(Y\). What is the distribution of \(Y ?\) Are \(Y_{1}\) and...
1. Let the random vector \((X, Y)\) have the joint density function (continuous case) \(f(x, y)=\left\{\begin{array}{ll}x y e^{-y-x}, & x>0, y>0 \\ 0, & \text { elsewhere }\end{array}\right.\)Compute the following:a) \(g_{X}(x)\) (The marginal with respect to \(\mathrm{X}\) )b) \(h_{T}(y)\) (The marginal with respect to \(Y\) )
Let \(f(x)= \begin{cases}0 & \text { for } 0 \leq x<2 \\ -(4-x) & \text { for } 2 \leq x \leq 4\end{cases}\)- Compute the Fourier cosine coefficients for \(f(x)\).- \(a_{0}=\)- \(a_{n}=\)- What are the values for the Fourier cosine series \(\frac{a_{0}}{2}+\sum_{n=1}^{\infty} a_{n} \cos \left(\frac{n \pi}{4} x\right)\) at the given points.- \(x=2:\)- \(x=-3\) :- \(x=5:\)
Given an LTI system with$$ \begin{aligned} &A=\left(\begin{array}{cc} 1 / 2 & 0 \\ 0 & -1 / 4 \end{array}\right), B=\left(\begin{array}{l} 0 \\ 1 \end{array}\right), C=(1-1), \\ &D=0 \quad X(0)=\left(\begin{array}{l} -1 \\ -1 \end{array}\right), U(n)=(-1)^{n} u[n] \end{aligned} $$Calculate \(y[n], y[4]\) and \(y[\) Steady State \(]\)
5. If \(f(x)=\left\{\begin{array}{cc}0 & -2<x<0 \\ x & 0<x<2\end{array} \quad\right.\)is periodio of period 4 , and whose Fourier series is given by \(\frac{a_{0}}{2}+\sum_{n=1}^{2}\left[a_{n} \cos \left(\frac{n \pi}{2} x\right)+b_{n} \sin \left(\frac{n \pi}{2} x\right)\right], \quad\) find \(a_{n}\)A. \(\frac{2}{n^{2} \pi^{2}}\)B. \(\frac{(-1)^{n}-1}{n^{2} \pi^{2}}\)C. \(\frac{4}{n^{2} \pi^{2}}\)D. \(\frac{2}{n \pi}\)\(\mathbf{E}_{1} \frac{2\left((-1)^{n}-1\right)}{n^{2} \pi^{2}}\)F. \(\frac{4}{n \pi}\)6. Let \(f(x)-2 x-l\) on \([0,2]\). The Fourier sine series for \(f(x)\) is \(\sum_{w}^{n} b_{n} \sin \left(\frac{n \pi}{2} x\right)\), What is \(b, ?\)A. \(\frac{4}{3 \pi}\)B. \(\frac{2}{\pi}\)C. \(\frac{4}{\pi}\)D. \(\frac{-4}{3 \pi}\)E. \(\frac{-2}{\pi}\)F. \(\frac{-4}{\pi}\)7. Let \(f(x)\) be periodic...