MHB Indexes of inertia for the function

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The discussion centers on determining the positive and negative indexes of inertia for the function q(x) = TrX^2 within the space M_n(R). The initial analysis suggests that all terms in the quadratic form are positive, leading to a proposed positive index of 3n and a negative index of 0. However, clarification is provided that the moment of inertia is defined by the count of positive and negative terms in the standard form of the quadratic. The standard form reveals that the positive terms total (n^2+n)/2 and the negative terms total (n^2-n)/2, indicating a need for reevaluation of the initial conclusions. The discussion emphasizes the importance of transforming the quadratic form into its standard representation for accurate index determination.
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Hello everyone

Here is the question

Find positive and negative indexes of inertia for the function $q(x)=TrX^2$ on the space $M_n(R)$

I did some work, first I suppose $X$ as a n by n matrix, then $TrX^2=a_{11}^2 +...+a_{nn}^2+2(a_{ij}a_{ji})$

It seems like that all terms are positive, unless $a_{ji}=-a_{ji}$, hence the positive index will be $3n$ and the negative index is $0$.

Am I right?

Thanks.
 
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smile said:
Hello everyone

Here is the question

Find positive and negative indexes of inertia for the function $q(x)=TrX^2$ on the space $M_n(R)$

I did some work, first I suppose $X$ as a n by n matrix, then $TrX^2=a_{11}^2 +...+a_{nn}^2+2(a_{ij}a_{ji})$

It seems like that all terms are positive, unless $a_{ji}=-a_{ji}$, hence the positive index will be $3n$ and the negative index is $0$.

Am I right?

Thanks.

Hi simile, :)

By definition (read >>this<<) the moment of inertia is the number of positive or negative terms in the standard from of a quadratic form. That is positive moment of inertia stands for the number of positive terms in the standard form and negative moment of inertia stands for the number of negative terms in the standard form.

So you have to first reduce your quadratic form into it's standard from. Notice that,

\begin{eqnarray}

q(x)&=&\mbox{Tr }X^2\\

&=&\sum_{i=1}^{n}\sum_{j=1}^{n}x_{ij}x_{ji}\\

&=&\sum_{i=1}^{n}x_{ii}^2+\sum_{i>j}^{n}\sum_{j=1}^{n}\frac{1}{2}[(x_{ij}+x_{ji})^2-(x_{ij}-x_{ji})^2]\\

\end{eqnarray}

This is in fact the standard form of \(q\). We have written each non-square term \(2x_{ij}x_{ji}\) where \(i\neq j\) as \(\frac{1}{2}[(x_{ij}+x_{ji})^2-(x_{ij}-x_{ji})^2]\). So if you count the number of negative terms you'll get, \(\frac{n^2-n}{2}\) and the number of positive terms is \(\frac{n^2+n}{2}\).

There's another method of doing this which is explained >>here<<.
 
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