Determinant and symmetric positive definite matrix

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SUMMARY

The matrix \[ \begin{bmatrix} 2a & b(1+d) \\ b(1+d) & 2dc \\ \end{bmatrix} \] is confirmed to be positive definite if its determinant is positive. This conclusion is based on the properties of symmetric matrices, where positive definiteness is guaranteed by having positive eigenvalues. The determinant, calculated as \[ det(A) = 4adc - b^2(1+d)^2, \] must be greater than zero. The eigenvalue analysis shows that the smallest eigenvalue is always greater than zero, confirming the matrix's positive definiteness under the given conditions.

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  • Understanding of symmetric matrices
  • Knowledge of eigenvalues and eigenvectors
  • Familiarity with determinants and their properties
  • Basic linear algebra concepts
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  • Study the properties of symmetric positive definite matrices
  • Learn how to compute eigenvalues for 2x2 matrices
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  • Investigate the relationship between determinants and eigenvalues in matrix theory
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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 ##.
 
Last edited:

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