HP 49g+ - Manual (Page 463)

Page 14-6
We find critical points at (X,Y) = (1,0), and (X,Y) = (-1,0). To calculate the
discriminant, we proceed to calculate the second derivatives, fXX(X,Y) =
∂
2
f/ ∂X 2 , fXY(X,Y) = ∂ 2
f/ ∂X/∂Y, and fYY(X,Y) = ∂ 2
f/ ∂Y 2 .
The last result indicates that the discriminant is
∆ = -12X, thus, for (X,Y) = (1,0),
∆ <0 (saddle point), and for (X,Y) = (-1,0), ∆>0 and ∂ 2 f/ ∂X 2 <0 (relative
maximum). The figure below, produced in the calculator, and edited in the
computer, illustrates the existence of these two points:
Using function HESS to analyze extrema
Function HESS can be used to analyze extrema of a function of two variables
as shown next. Function HESS, in general, takes as input a function of n
independent variables
φ(x
1
, x
2
, …,x
n
), and a vector of the functions [‘x
1
’
‘x
2
’…’x
n
’]. Function HESS returns the Hessian matrix of the function φ, defined
as the matrix H = [h
ij
] = [ ∂ 2 φ/∂x
i
∂x
j
], the gradient of the function with respect
to the n-variables, grad f = [ ∂φ/∂x
1
, ∂φ/∂x
2
, … ∂φ/∂x
n
], and the list of
variables [‘x
1
’ ‘x
2
’…’x
n
’].