Problem 2. In each part below, either diagonalize the given linear transformation, if possible, or else...
Problem 2. In each part below, either diagonalize the given linear transformation, if possible, or else explain why this is impossible. (That is, find a basis B such that the coordinate matrix [T\B or explain why no such basis exists.) (а) Т: Р2 —> Р2 given by T(p) — ар'. (b) Т:P, — P2 given by T(р) — р(2л — 1). (c) T R2x2 R2x2 given by T(A) = A+ AT. (d) T: С +С given by T(a + bi)...
Question 1.2 Let T : R3 ? R2 be a linear transformation given by T (x) = Ax, where 1 0 2 -1 1 5 1) Find a basis for the kernel of T. 2) Determine the dimension of the kernel of T 3) Find a basis for the image(range) of T. 4) Determine the dimension of the image(range) of T. 5) Determine if it is a surjection or injection or both. 2 6) Determine whether or not v |0|...
6. For each of the following functions, either prove that it is a linear transformation, or show that it is not. If the given transformation is indeed linear, find the matrix of the transformation (a) TR2R2 where T "folds" the half of the plane below the diagonal line z2 to the top half. In other words: T1 3x1- 2 (b) T:R3-R3 where T3x2 - 3x3- 1
determine weather the following mappings are linear transformations. Either prove that the mapping is a linear transformation to explain why it is not a linear transformation. a)T:R3[x] to R3[x] given by T(p(x))=xp'(x)+1, where f'(x) is a derivative of the polynomial p(x). b) T:R2 to R2 given by T([x y])=[x -y]. Additionally describe this mapping in part b geometrically.
show all parts and explain - For each linear transformation f :V W, find the associated matrix. W with given bases for V and (a) tr : M22 → R (trace of a matrix) with R-basis {1} and M22-basis (19):( :) :( 9):( )} (b) E: P2 → R2 which sends f e P, to [f( 1), f(2)] € R2, and the standard bases. (c) Given some basis B = {81,...,Bn} of V, the linear transforma- tion C: V →...
6. Let T P2 P be a linear transformation such that T P2P2 is still a linear trans formation such that T(1) 2r22 T(2-)=2 T(1) = 2r22 T(12 - )=2 T(x2x= 2r T(r2)2x (a) (6 points) Find the matrix for T in some basis B. Specify the basis that you use. (d) (4 points) Find a basis for the eigenspace E2. (b) (2 points) Find det(T) and tr(T') (e) (4 points) Find a basis = (f,9,h) for P2 such that...
Hi, could you post solutions to the following questions. Thanks. 2. (a) Let V be a vector space on R. Give the definition of a subspace W of V 2% (b) For each of the following subsets of IR3 state whether they are subepaces of R3 or not by clearly explaining your answer. 2% 2% (c) Consider the map F : R2 → R3 defined by for any z = (zi,Z2) E R2. 3% 3% 3% 3% i. Show that...
PPöblem 2 (30 points You are given the control system shown below where the excitation is the voltage source vst(0) and the response is the voltage vc(0). Assume that the opamps are ideal R1 L R Ri Ri VE t) R1 F(t) 2 C2 R3 a. Given that R 10k2, determine find VE(s) as a function of voltages Vs(s) and Vr (8). Given that R-1 Ω, L-100m H and C-100mF, determine the transfer function Vc(s)Vi() b, 100μF, determine the transfer...
Problem 3. 0 Figure 2 Given: f(t) = { 2.5, -1.5 <=<= 1.5 f(t) = { 0 otherwise See figure(2) above. A) Find the Fourier transform for f( (see figure 2) and sketch its waveform. B) Determine the values of the first three frequency terms (w1, W2, W3) where F(w) = 0. C) Given x(t) = 1.58(-0.8) edt Determine whether or not Fourier transform exists for x(t). If yes, find the Fourier transfe not explain why it does not. Problem...
Question 2: Hypothesis testing (30 pts) Consider the following simple linear regression model with E[G-0 and var(G)-σ2. The output of linear where €1, €2, . . . ,en regression from R takes the form are i.i.d. errors Cal1: lm(formula y ~ x + 1) Residuals: Min 1Q Median 3Q Max 2.0606-0.3287-0.1148 0.5902 1.2809 Coefficients: Estimate Std. Error t value Prlt (Intercept) 0.507932 0.340896 1.49 0.147 0.049656 0.003455 14.37 1.89e-14 Signif. codes: 0.0010.010.05 .'0.1''1 Residual standard error: 0.7911 on 28 degrees...