I've recently been learning some linear algebra in preparation for university next year. I've just read a section on positive definite matrices and found a question that I have no idea how to answer.
We assume that $A$ is an $n\times n$ positive definite matrix. We also assume that $A$ is symmetric. We then take two $n$ dimensional vectors $x,y$ of real numbers such that $x^{T}y>0$. We then construct the matrix $$B=A-\frac{Axx^{T}A^{T}}{x^{T}Ax}+\frac{yy^{T}}{x^{T}y}$$
Is this matrix positive definite?
My initial thought was to try and see if $a^{T}Ba>0$ for some $n$ dimensional vector $a$ of real numbers, but I get pretty stumped with that. Does anyone have any hints?
Observe by Cauchy-Schwarz inequality, we have \begin{align} |\xi^TAx|^2 = |\xi^T A^{1/2}A^{1/2}x|^2 \leq |\xi^TA\xi||x^TAx| \end{align} Then it follows \begin{align} \xi^TB\xi = \xi^TA\xi -\frac{|\xi^TAx|^2}{x^TAx} +\frac{|\xi^Ty|^2}{x^Ty}\geq 0. \end{align} If $\xi$ is not perpendicular to $y$, we see that $\xi^TB\xi>0$. If $\xi$ is orthogonal to $y$, then we have \begin{align} \xi^TB\xi = \xi^TA\xi - \frac{|\xi^TAx|^2}{x^TAx} \end{align} which equals zero if and only if $\xi =\lambda x$. But since $\xi \perp y$, then $\xi$ can't be parallel to $x$. Hence it follows $B$ is indeed positive definite.