To identify the correct properties of the given matrices, let's analyze each statement:
A. A symmetric matrix is one that is equal to its transpose. The matrix \( \begin{bmatrix}1 & 2 & 3 \\ 2 & 4 & 5 \\ 3 & 5 & 6 \end{bmatrix} \) is symmetric because it remains the same when transposed.
B. A null matrix is a matrix in which all elements are zero. The matrix \( \begin{bmatrix}0 & 0 & 0 \\ 0 & 0 & 0 \end{bmatrix} \) fits this description, making it a null matrix.
C. An identity matrix is a square matrix with ones on the diagonal and zero elsewhere. The matrix \( \begin{bmatrix}1 & 0 & 0 \\ 0 & 2 & 0 \\ 0 & 0 & 3 \end{bmatrix} \) is a diagonal matrix but not an identity matrix as the diagonal elements are not all ones.
D. A skew-symmetric matrix is equal to the negative of its transpose, and its diagonal elements must be zero. The matrix \( \begin{bmatrix}0 & 1 & 2 \\ -1 & 0 & 3 \\ -2 & 3 & 0 \end{bmatrix} \) is skew-symmetric because its transpose is equal to its negative.
E. A scalar matrix is a diagonal matrix where all the diagonal elements are the same. The matrix \( \begin{bmatrix}\sqrt{3} & 0 & 0 \\ 0 & \sqrt{3} & 0 \\ 0 & 0 & \sqrt{3} \end{bmatrix} \) is indeed a scalar matrix as all diagonal elements are \( \sqrt{3} \).
Based on the above analysis, the correct statements are A, B, and E.