Positive definite in mean square sense

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$x$ is a random vector variable and matrix $P$ is symmetric and deterministic. If $\mathbb{E}\{x^T P x\}>0$ for any non-zero $x$, can we say $P$ is positive definite? If it is not, can you give me a counterexample?

$\mathbb{E}$ is the expectation operator.

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I think you can conclude that $P$ is positive definite. Any non-zero $x$ in your question allows deterministic distributions for every $x_0 \in \mathbb{R}^n$ which always result in $x_0$. Thus you have $x_0^TPx_0>0$ for all $x_0\in \mathbb{R}^n\backslash \{0\}$, which is the definition of positive definite.