| Line 10: | Line 10: | ||
:[[QE2013_AC-3_ECE580-1|Part 1]],[[QE2013_AC-3_ECE580-2|2]],[[QE2013_AC-3_ECE580-3|3]],[[QE2013_AC-3_ECE580-4|4]],[[QE2013_AC-3_ECE580-5|5]] | :[[QE2013_AC-3_ECE580-1|Part 1]],[[QE2013_AC-3_ECE580-2|2]],[[QE2013_AC-3_ECE580-3|3]],[[QE2013_AC-3_ECE580-4|4]],[[QE2013_AC-3_ECE580-5|5]] | ||
| − | <br> '''Solution: ''' <br> | + | <br> '''Solution 1: ''' <br> |
From the constraint, it can be seen that: | From the constraint, it can be seen that: | ||
| Line 24: | Line 24: | ||
The maximizer is <math>x_1 = x_2 = x_3 = 0</math>. There f(x) reaches the maximum value of 0. | The maximizer is <math>x_1 = x_2 = x_3 = 0</math>. There f(x) reaches the maximum value of 0. | ||
| + | <br> '''Solution 2: ''' <br> | ||
| + | |||
| + | <math>f(x) = x_1 x_2 + x_2 x_3 \\ | ||
| + | h_1(x) = x_1 + x_2 \\ | ||
| + | h_2(x) = x_2 + x_3 \\ | ||
| + | l(x,\lambda) = f(x) + \lambda_1 h_1(x) + \lambda_2 h_2(x) = x_1 x_2 + x_2 x_3 + \lambda_1 (x_1 + x_2) + \lambda_2 (x_2 + x_3) \\ | ||
| + | \nabla l(x,\lambda) = \begin{bmatrix} | ||
| + | x_2 + \lambda_1 \\ | ||
| + | x_1 + x_3 + \lambda_1 + \lambda_3 \\ | ||
| + | x_2 + \lambda_2 \\ | ||
| + | x_1 + x_2 \\ | ||
| + | x_2 + x_3 | ||
| + | \end{bmatrix} = \begin{bmatrix} | ||
| + | 0 \\ | ||
| + | 0 \\ | ||
| + | 0 \\ | ||
| + | 0 \\ | ||
| + | 0 | ||
| + | \end{bmatrix} \\ | ||
| + | \Rightarrow x^* = \begin{bmatrix} | ||
| + | 0 \\ | ||
| + | 0 \\ | ||
| + | 0 | ||
| + | \end{bmatrix}\ \lambda^* = \begin{bmatrix} | ||
| + | 0 \\ | ||
| + | 0 | ||
| + | \end{bmatrix} \\ | ||
| + | L(x^*,\lambda^*) = F(x^*) + \lambda_1^* H_1(x^*) + \lambda_2^* H_2(x^*) = \begin{bmatrix} | ||
| + | 0 & 1 & 0 \\ | ||
| + | 1 & 0 & 1 \\ | ||
| + | 0 & 1 & 0 | ||
| + | \end{bmatrix} \\ | ||
| + | \begin{align} | ||
| + | T(x^*) & = {y: Dh(x^*)y = 0} \\ | ||
| + | & = {y: \begin{bmatrix} | ||
| + | 1 & 1 & 0 \\ | ||
| + | 0 & 1 & 1 | ||
| + | \end{bmatrix} y = 0} \\ | ||
| + | & = {y: y = \begin{bmatrix} | ||
| + | 1 \\ | ||
| + | -1 \\ | ||
| + | 1 | ||
| + | \end{bmatrix} a, a \in \Re } \\ | ||
| + | \end{align} | ||
| + | </math> | ||
[[ QE2013 AC-3 ECE580|Back to QE2013 AC-3 ECE580]] | [[ QE2013 AC-3 ECE580|Back to QE2013 AC-3 ECE580]] | ||
Revision as of 12:00, 23 February 2015
QE2013_AC-3_ECE580-5
Solution 1:
From the constraint, it can be seen that:
$ x_1 = x_3 = -x_2 $
Substitute into the objective function:
$ f(x) = x_2 (x_1 + x_3) = -2 x_2^2 $
Therefore it has a maximizer but no minimizer (f(x) goes to $ -\infty $ as $ |x_2| $ increases)
The maximizer is $ x_1 = x_2 = x_3 = 0 $. There f(x) reaches the maximum value of 0.
Solution 2:
$ f(x) = x_1 x_2 + x_2 x_3 \\ h_1(x) = x_1 + x_2 \\ h_2(x) = x_2 + x_3 \\ l(x,\lambda) = f(x) + \lambda_1 h_1(x) + \lambda_2 h_2(x) = x_1 x_2 + x_2 x_3 + \lambda_1 (x_1 + x_2) + \lambda_2 (x_2 + x_3) \\ \nabla l(x,\lambda) = \begin{bmatrix} x_2 + \lambda_1 \\ x_1 + x_3 + \lambda_1 + \lambda_3 \\ x_2 + \lambda_2 \\ x_1 + x_2 \\ x_2 + x_3 \end{bmatrix} = \begin{bmatrix} 0 \\ 0 \\ 0 \\ 0 \\ 0 \end{bmatrix} \\ \Rightarrow x^* = \begin{bmatrix} 0 \\ 0 \\ 0 \end{bmatrix}\ \lambda^* = \begin{bmatrix} 0 \\ 0 \end{bmatrix} \\ L(x^*,\lambda^*) = F(x^*) + \lambda_1^* H_1(x^*) + \lambda_2^* H_2(x^*) = \begin{bmatrix} 0 & 1 & 0 \\ 1 & 0 & 1 \\ 0 & 1 & 0 \end{bmatrix} \\ \begin{align} T(x^*) & = {y: Dh(x^*)y = 0} \\ & = {y: \begin{bmatrix} 1 & 1 & 0 \\ 0 & 1 & 1 \end{bmatrix} y = 0} \\ & = {y: y = \begin{bmatrix} 1 \\ -1 \\ 1 \end{bmatrix} a, a \in \Re } \\ \end{align} $
