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The matrix given below depends upon the parameter \( a \). This matrix is only positive definite for parameter \( a>a_{c} \) for what critical value of \( a_{c} \) ? \[ \left[\begin{array}{lll} a & 2

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Final Answer:


a_(c) = 0 \)

The critical value
\( a_(c) \)for which the matrix is positive definite is
\( a_(c) = 0 \), determined by ensuring all eigenvalues remain positive as \( a \) exceeds this threshold.

Step-by-step explanation:

The critical value
\( a_(c) \) for which the given matrix becomes positive definite is
\( a_(c) = 0 \). To establish positive definiteness, we examine the eigenvalues of the matrix.

For a matrix to be positive definite, all eigenvalues must be positive. In this case, the eigenvalues are related to the parameter ( a ), and for the matrix to remain positive definite, ( a ) must be greater than (
a_(c) = 0 ).

Understanding the significance of eigenvalues in the context of positive definite matrices is essential. Eigenvalues are crucial indicators of the nature of a matrix, and in the case of positive definiteness, they determine whether the matrix represents a positive definite quadratic form. The critical value
\( a_(c) = 0 \) signifies the threshold beyond which the matrix maintains positive definiteness.

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