Is a positive semidefinite/definite matrix always symmetric?

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The definition of a positive semidefinite/definite matrix seems assuming the matrix is symmetric. Is my understanding correct? If it is symmetric, is there any reason behind that? Otherwise, can anyone give an example of a non-symmetric matrix that is positive semidefinite/definite?

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There seems to be disagreement in the literature for the definition of a positive definite matrix. For discussion purposes let us assume the matrix is real.

Here are possible two definitions:

  1. Let $M$ be a $n \times n$ matrix. $M$ is a positive definite matrix if and only if $M$ is symmetric AND $x^T M x > 0$ for all non-zero vectors of order $n$.
  2. Let $M$ be a $n \times n$ matrix. $M$ is a positive definite matrix if and only if $x^T M x > 0$ for all non-zero vectors of order $n$.

For example, let $M = \begin{pmatrix} 1 & 1\\ -1 & 1\\ \end{pmatrix}$ and $x = \left(a,b\right)$

Since $x^T M x = a^2+b^2$, $M$ is positive definite by the second definition, but not by the first because $M$ is not symmetric.

The first definition agrees with the following:

The second definition is supported by:

Admittedly, both the first two are Wolfram sources.

The discrepancy of the definitions is acknowledged in the Math World reference where they state "confusingly, the discussion of positive definite matrices is often restricted to only Hermitian matrices, or symmetric matrices in the case of real matrices...". The Wikipedia source also acknowledges the discrepancy when they say "some authors use more general definitions of definiteness, including some non-symmetric real matrices, or non-Hermitian complex ones. "