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math54-f22:sample_midterm_2

Sample Midterm 2 Problems

Computational

1. Consider the following Hermitian 2×2 matrices QQ, find an invertible matrix AA and diagonal matrices DD, such that Q=ADAQ = A^* D A.

  • Q=[1222] Q = \begin{bmatrix} 1 & 2 \cr 2 & 2 \end{bmatrix}
  • Q=[0ii0] Q = \begin{bmatrix} 0 & i \cr -i & 0 \end{bmatrix}
  • Q=[0ii2] Q = \begin{bmatrix} 0 & i \cr -i & 2 \end{bmatrix}

2. Find the eigenvalues of the following matrix, and for each eigenvalue find an eigenvector. T=[125023001] T = \begin{bmatrix} 1 & 2 & 5 \cr 0 & 2 & 3 \cr 0 & 0 & -1 \end{bmatrix}

3. Let AA be the following 3×33 \times 3 matrix, Use Gauss Elimination to find detA\det A and A1A^{-1} A=[021121031] A = \begin{bmatrix} 0 & 2 & -1 \cr 1 & 2 & 1 \cr 0 & 3 & -1 \end{bmatrix}

4. Let v1=(0,2,1)v_1 = (0, 2, 1) , v2=(1,2,3)v_2 = (1, 2, 3), and v3=(1,1,1)v_3 = (1,1,1). Let VV_* denote the complete flag associated to viv_i, namely V1=span(v1),V2=span(v1,v2),V3=span(v1,v2,v3)V_1 = span(v_1), V_2 = span(v_1, v_2), V_3 = span(v_1,v_2,v_3). Find a linear transformation AA on R3\R^3, that take the flag VV_* to the standard flag (i.e the flag associated to the standard basis e1,e2,e3e_1,e_2,e_3).

Conceptual

5. True or False

  • Every quadratic form on Rn\R^n, under a change of coordinate, can be written as X12++Xr2Xr+12Xr+s2 X_1^2+\cdots + X_r^2 - X_{r+1}^2 - \cdots - X_{r+s}^2 for some r0,s0r \geq 0, s \geq 0 with r+snr+s \leq n.
  • Every Hermitian form on Cn\C^n, under a change of coordinate, can be written as X12++Xr2Xr+12Xr+s2 X_1^2+\cdots + X_r^2 - X_{r+1}^2 - \cdots - X_{r+s}^2 for some r0,s0r \geq 0, s \geq 0 with r+snr+s \leq n.
  • For every quadratic form QQ on Rn\R^n, there exists an orthonormal basis {ei}\{e_i\} (with respect to the standard inner product on Rn\R^n), such that Q(ei,ej)=0Q(e_i, e_j)=0 for iji\neq j.
  • For every Hermitian form HH on Cn\C^n, there exists an orthonormal basis {ei}\{e_i\} (with respect to the standard Hermitian inner product on Cn\C^n), such that H(ei,ej)=0H(e_i, e_j)=0 for iji\neq j.
  • For any linear transformation T:RnRnT: \R^n \to \R^n, we can find nn eigenvalues (possibly with repetition) λ1,,λn\lambda_1, \cdots, \lambda_n, and corresponding eigenvectors v1,,vnRnv_1, \cdots, v_n \in \R^n, such that viv_i forms a basis, and T(vi)=λiviT (v_i) = \lambda_i v_i.
  • Let Q1,Q2Q_1, Q_2 be two quadratic form on Rn\R^n, is Q1+Q2Q_1 + Q_2 also a quadratic form?
  • Let Q1Q_1 be the standard quadratic form on Rn\R^n, Q2Q_2 be any quadratic form on Rn\R^n. Can one find an basis e1,,ene_1, \cdots, e_n that is orthogonal with respect to both Q1,Q2Q_1, Q_2?

Others

For the application of the Sylvester rule, one can refer to the homework question.

math54-f22/sample_midterm_2.txt · Last modified: 2022/11/08 22:01 by pzhou