When studying local extreme points of functions of several (real) variables, a typical textbook exercise is to consider the polynomial

Here we have
and
, so the only critical point of
is
Since
and the Hessian of
is
, it follows that
is a local minimum of
and, since it is the only critical point, it is in fact an absolute minimum with 
being a polynomial, it is reasonable to expect that there is an algebraic explanation as for why
is its minimum, and why it lies at
. After all, this is what happens in one variable: If
and
, then

and obviously
has a minimum at
, and this minimum is 
The polynomial
of the example above can be analyzed this way as well. A bit of algebra shows that we can write

and it follows immediately that
has a minimum value of
, achieved precisely when both
and
, i.e, at 
(One can go further, and explain how to go in a systematic way about the `bit of algebra’ that led to the representation of
as above, but let’s leave that for now.)
What we did with
is not a mere coincidence. Hilbert’s 17th of the 23 problems of his famous address to the Second International Congress of Mathematicians in Paris, 1900, asks whether every polynomial
with real coefficients which is non-negative for all (real) choices of
is actually a sum of squares of rational functions. (A rational function is a quotient of polynomials.) A nonnegative polynomial is usually called positive definite, but I won’t use this notation here.
If Hilbert’s problem had an affirmative solution, this would provide a clear explanation as for why
is non-negative.
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