A negative definite matrix is a symmetric matrix where all its eigenvalues are negative, indicating that the quadratic form associated with the matrix is strictly concave. This property is crucial in optimization problems, particularly in ensuring that a critical point is a local maximum when the Hessian matrix is negative definite.