
Michael H. answered 12/16/19
High School Math, Physics, Computer Science & SAT/GRE/AP/PRAXIS Prep
Problem: Minimize f(x,y) = 8(x^2)y, subject to 3x - y = 9
Let m be a Lagrange Multiplier, and consider the Lagrangian:
L(x,y,m) = f(x,y) - m(3x - y -9) = 8yx2 - m(3x - y -9)
Equate the Partial Derivatives to zero:
Lx = 16yx - 3m = 0
Ly = 8x2 -m(-1) = 0
Lm = 3x - y - 9 = 0
Rearranging,
3m = 16xy
m = -8x2
Taking the ratio yields:
3 = -2y/x, or
3x = -2y.
The Constraint can now be used to get values for x, y:
3x - y = 9
-2y - y = 9
y = -3
3x = -2y = -2(-3)
x = 6
Let's now take the 2nd Partial Derivatives:
Lx = 16yx - 3m = 16xy - 3(-8x2) = 16xy + 24x2
Lxx = 16y + 48x = 16(-3) + 48(6) = 16*3(-1 +3*2) = 16*3*5 = 48*5 = 240
Lxy = 16x = 16(6) = 96
Ly = 8x2 -m(-1) = Ly = 8x2 + -8x2 = 0
Lyy = 0
Lyx = 0
The Hessian Matrix is zero, so no conclusion about (6,-3) is possible.
Caution: The Hessian Matrix I computed was based on L, but I could be wrong - perhaps it should be based on f(x,y) instead.