Please do Part (ii). Feel free to do Part (i). Be careful, because the last time I submitted this question, the answers were wrong.
Given that
Diagonal matrix : It is a special kind of symmetric matrix. It is a symmetric matrix with zeros in the off-diagonal elements. Two diagonal matrices are shown below.
A = |
|
B = |
|
Note : the diagonal of a matrix refers to the elements that run from the upper left corner to the lower right corner.
Please do Part (ii). Feel free to do Part (i). Be careful, because the last time...
Please do Part (i). Feel free to do Part (ii). The last time I posted this question, it wasn't answered properly, and got it wrong. 2. Consider the inner product space V = P2(R) with (5,9) = L5(0956 f(t)g(t) dt, and let T:V → V be the linear operator defined by T(f) = xf'(x) +2f(x). (i) Compute T*(1++r). (ii) Determine whether or not there is an orthonormal basis of eigenvectors B for which [T]3 is diagonal. If such a basis...
Please do Part (ii). Feel free to do Part (i). 2. Consider the inner product space V = P2(R) with (5,9) = L5(0956 f(t)g(t) dt, and let T:V → V be the linear operator defined by T(f) = xf'(x) +2f(x). (i) Compute T*(1++r). (ii) Determine whether or not there is an orthonormal basis of eigenvectors B for which [T]3 is diagonal. If such a basis exists, find one.
Please do Part (i). Feel free to do Part (ii). 2. Consider the inner product space V = P2(R) with (5,9) = L5(0956 f(t)g(t) dt, and let T:V → V be the linear operator defined by T(f) = xf'(x) +2f(x). (i) Compute T*(1++r). (ii) Determine whether or not there is an orthonormal basis of eigenvectors B for which [T]3 is diagonal. If such a basis exists, find one.
2. Consider the inner product space V = P2(R) with (5,9) = . - f(t)g(t) dt, and let T:V + V be the linear operator defined by T(F) = xf'(x) + 2f (x). (i) Compute T*(1 + x + x2). (ii) Determine whether or not there is an orthonormal basis of eigenvectors ß for which [T]2 is diagonal. If such a basis exists, find one.
Please do Part (ii). If you'd like to do the first part as well, feel free to. 3. Consider the inner product space V = M2x2(C) with the Frobenius inner product, and let T:V + V be the linear operator defined by T(A) =) A. (i) Compute 1 T* ((1+1 :)) (ii) Determine whether or not there is an orthonormal basis of eigenvectors B for which [T], is diagonal. If such a basis exists, find one.
Please do Part (i). If you'd like to do the second part as well, feel free to. 3. Consider the inner product space V = M2x2(C) with the Frobenius inner product, and let T:V + V be the linear operator defined by T(A) =) A. (i) Compute 1 T* ((1+1 :)) (ii) Determine whether or not there is an orthonormal basis of eigenvectors B for which [T], is diagonal. If such a basis exists, find one.
2. Consider the inner product space V = P2(R) with (5.9) = £ 5(0)9(e) dt, and let T:V V be the linear operator defined by T(f) = xf'(2) +2f(x). (i) Compute T*(1+2+x²). (ii) Determine whether or not there is an orthonormal basis of eigenvectors 8 for which [T], is diagonal. If such a basis exists, find one.
Consider the inner product space V = P2(R) with (5,9) = { $(0)g(t) dt, and let T:VV be the linear operator defined by T(f) = x f'(x) +2f (x) +1. (i) Compute T*(1 + x + x2). (ii) Determine whether or not there is an orthonormal basis of eigenvectors ß for which [T]k is diagonal. If such a basis exists, find one.
this is all information was given, what do you need more? 2. Consider the inner product space V = P,(R) with (5.91 = 5(0)g(t) dt, and let T: VV be the linear operator defined by T(f) = xf'(x) +2f(x). (1) Compute T*(1+2+x2). (ii) Determine whether or not there is an orthonormal basis of eigenvectors 8 for which [T], is diagonal. If such a basis exists, find one.
Can I get some help please? Thanks in advance 2. Consider the inner product space V = P2(R) with 0.9) = (()() dt, and let T:V V be the linear operator defined by T(S) = rf'(:r) + 2(r). (i) Compute T*(1 + 1 + x²). (ii) Determine whether or not there is an orthonormal basis of eigenvectors B for which T]s is diagonal. If such a basis exists, find one.