(Created page with "==Problem 1 Critique==") |
|||
| Line 1: | Line 1: | ||
==Problem 1 Critique== | ==Problem 1 Critique== | ||
| + | a) and b) are as same as mine which I think are probably correct | ||
| + | |||
| + | For part c), the solution is almost the same just need to follow what the instruction said in terms of <math>\lambda_n</math>, <math>\lambda_n^b</math>, and <math>\lambda_n^d</math> | ||
| + | |||
| + | For part d). I am not sure what the correct curve should be. | ||
| + | |||
| + | ==Problem 2 Critique== | ||
| + | For this problem, I consider that part b is not the correct way to prove positive semi-definite. To prove a matrix A is p.s.d, need an arbitrary vector x and prove that<math>x^tAx \geq 0</math>. Prove <math>\Sigma^2 \geq 0</math> is not enough. | ||
Latest revision as of 20:27, 9 July 2019
Problem 1 Critique
a) and b) are as same as mine which I think are probably correct
For part c), the solution is almost the same just need to follow what the instruction said in terms of $ \lambda_n $, $ \lambda_n^b $, and $ \lambda_n^d $
For part d). I am not sure what the correct curve should be.
Problem 2 Critique
For this problem, I consider that part b is not the correct way to prove positive semi-definite. To prove a matrix A is p.s.d, need an arbitrary vector x and prove that$ x^tAx \geq 0 $. Prove $ \Sigma^2 \geq 0 $ is not enough.
