3. For n 2 2, let X have n-dimensional normal distribution MN(i, V). For any 1 3 m < n, let X1 denote the vector consisting of the last n - m coordinates of X < n, let 1 (a). Find the mean vector and the variance-covariance matrix of X1. (b). Show that Xi is a (n- m)-dimensional normal random vector.
Let Y = (Yİ Y2 Yn)' be a random vector taking on values in Rn with mean μ E Rn and covariance matrix 2. Also let 1 be the ones vector defined by 1-(1 1) 5.i Find the projection matrix Hy where V is the subspace generated by 1 5.ii Show that Hy is symmetric and idempotent. 5.iii Let x = (a a . .. a)', where a E Rn. Show that Hvx = x. 5.iv Find the projection of...
A1. Let (A, B, C, D) be a SISO system in which A is a (n x n) complex matrix and B a (n x 1) column vector, let -1 V = {£ajA*B: aj e C; j= 0, ...,n- (i) Show that V is a complex vector space. (ii) Show that V has dimension one, if and only if B is an eigenvector of A AX for X E V. Show that S defines a linear map from S: V...
4. Let A be a 4 x 4 matrix with determinant 7. Which of the following statements are correct? Justify your answer. (a) For some vector b € R4, the system of equations AT = 5 has exactly one solution. (b) For some vector 5 € R4, the system of equations Az = 5 has infinitely many solutions. (c) For some vector b E R4, the system of equations Az = has no solution. (d) For all vectors be R4,...
Let A be an m × n matrix, let x Rn and let 0 be the zero vector in Rm. (a) Let u, v є Rn be any two solutions of Ax 0, and let c E R. Use the properties of matrix-vector multiplication to show that u+v and cu are also solutions of Ax O. (b) Extend the result of (a) to show that the linear combination cu + dv is a solution of Ax 0 for any c,d...
Thank you Assume that Y is a 3 × 1 random vector with mean vector ,y = μ and covariance matrix ΣΥΥ-σ2 . I. Assume that e is an independent random variable variable with zero mean and variance ф2 . Derive the mean and variance for W-2 1 Y + 5. Derive the covariance matrix between W and Y 6. Derive the correlation matrix between Wand Y. 7. Derive the variance covariance matrix for V- W Y, i.e., derive
Suppose X is a random vector, where X = (X(1), . . . , x(d))T , d with mean 0 and covariance matrix vv1 , for some vector v ER 1point possible (graded) Let v = . (i.e., v is the normalized version of v). What is the variance of v X? (If applicable, enter trans(v) for the transpose v of v, and normv) for the norm |vll of a vector v.) Var (V STANDARD NOTATION SubmitYou have used 0...
2) Two statistically-independent random variables, (X,Y), each have marginal probability density, N(0,1) (e.g., zero-mean, unit-variance Gaussian). Let V-3X-Y, Z = X-Y Find the covariance matrix of the vector, 2) Two statistically-independent random variables, (X,Y), each have marginal probability density, N(0,1) (e.g., zero-mean, unit-variance Gaussian). Let V-3X-Y, Z = X-Y Find the covariance matrix of the vector,
Help me plz to solve questions a and b 9. (10pts) Answer only four parts by True/False and provide justifica- tions] Given A, B and C three n × n matrices: (a) If C'is a nonsingular skew-symmetric matrix, then its inverse is also skew symmetric b) If rank(A) and AB- AC then B- C c) Let S-V, V2, Vs) be a lnearly independent set of vectors in a vector space V and T V2, V2+Vs, ViVs); then T is linearly...
7. Let A be a 4 x 3 matrix, and let b and y be two arbitrary vectors in R. We are told that the system Ax- b has a unique solution. What can you say about the number of solutions of the system Ax - y? Explain your answer. 8. Let u. v, w, b be arbitrary vectors in R". Suppose that b = x1u+xy+23w for some scalars i, r23. Show that Span u, v, w, b Span u,...