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Symmetric matrices are useful, but not essential, for representing quadratic forms. For example, the quadratic form
, which we represented in Example 1 as with a symmetric matrix A, can also be written as
where the coefficient 6 of the cross-product term has been split as rather than , as in the symmetric representation.
However, symmetric matrices are usually more convenient to work with, so when we write a quadratic form as , it will
always be understood, even if it is not stated explicitly, that A is symmetric. When convenient, we can use Formula 7 of
Section 4.1 to express a quadratic form in terms of the Euclidean inner product as
If preferred, we can use the notation for the dot product and write these expressions as
(6)
Problems Involving Quadratic Forms
The study of quadratic forms is an extensive topic that we can only touch on in this section. The following are some of the
important mathematical problems that involve quadratic forms.
Find the maximum and minimum values of the quadratic form if x is constrained so that
What conditions must A satisfy in order for a quadratic form to satisfy the inequality for all ?
If is a quadratic form in two or three variables and c is a constant, what does the graph of the equation
look like?
If P is an orthogonal matrix, the change of variables converts the quadratic form to
. But is a symmetric matrix if A is (verify), so is a new quadratic form in
the variables of y. It is important to know whether P can be chosen such that this new quadratic form has no
cross-product terms.

