Determinant and symmetric positive definite matrix

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The discussion centers on the conditions for a specific symmetric matrix to be positive definite, particularly focusing on the determinant's role. The matrix in question is positive definite if its determinant is positive, which implies that all eigenvalues must be real and positive. The calculation of eigenvalues reveals that the smallest eigenvalue remains greater than zero, confirming the matrix's positive definiteness under the given conditions. The earlier mention of another matrix being positive definite without restrictions on a scalar d is deemed relevant to the discussion. Ultimately, the conclusion is that the matrix is indeed positive definite as long as the determinant is positive.
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As a step in a solution to another question our lecture notes claim that the matrix (a,b,c,d are real scalars).

\begin{bmatrix}
2a & b(1+d) \\
b(1+d)& 2dc \\
\end{bmatrix}

Is positive definite if the determinant is positive. Why? Since the matrix is symmetric it's positive definite if the it got positive (real) eigenvalues and ##det (A) = \prod \lambda_i## but two negative eigenvalues would give a positive determinant too.

Earlier in the text its given that the matrix
##
S =
\begin{bmatrix}
a & b \\
b& c \\
\end{bmatrix}
##
is positive definitive while ##d## is without any restrictions if that is somehow relevant.
 
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Edit: nevermind I solved it

If i calculate the eigenvalues I get
##0 = (2a-\lambda )(2dc-\lambda) - b^2(1+d)^2 = 4adc +\lambda^2 - (2a+2dc)\lambda - b^2(1+d)^2 = det(A) + \lambda^2 -(2a+2dc)\lambda##
then
## \lambda^2-(2a+2dc)\lambda < 0## since ##det(A) > 0##
equal when
##(\lambda-(a+dc))^2-(a+dc)^2 = 0 \Longleftrightarrow \lambda = (a+dc) \pm (a+dc)##
so the smallest eigenvalue is always ##\lambda> 0 ##.
 
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