Question: In the attached inequality, constrained optimisation problem solvable through KKT conditions. I have already wrote the lagrangian and the KKT conditions at the top. It

In the attached inequality, constrained optimisation problem solvable through KKT conditions. I have already wrote the lagrangian and the KKT conditions at the top. It ShouLld say: Min L
(
x
,
y
,
lambda
)
=
xy
-
lambda
1
(
1
4
.
.
.
.
Where the L stands for lagrangian. Looking at the specific case where lambda
1
=
0
(
i
.
e
.
slack constraint
)
and lambda
2
>
0
(
binding constraint
)
,
you can see that I have managed to find half of the critical points, however, the mark scheme identifies additional critical points from this case
(
-
2
,
0
)
and
(
2
,
0
)
these can be seen fairly easily from inspection of the constraint. However, I am concerned that there should be a systematic way of finding them apart from just guessing values in the constraint and I think I would have missed them. The Mark scheme provides know other aditional information regarding how to solve this specific case. I do not need you to solve the other three cases of the constraints being binding and or slack
(
however if you h have time that is appreciated
)
.
1
.
Is my approach in the attached correct so far?
2
.
How would I have found the aditional critical points
(
-
2
,
0
)
and
(
2
,
0
)
systematically other than just looking at the binding constraint x
^
2
+
4
y
^
2
=
4
and guessing?
3
.
Is there a better or faster way of solving for the two critical points i did find systematically points?
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