We determined the regions of location of eigenvalues
of matrices associated to the systems in order to guarantee the asymptotic stability of the considered systems.
For the proposed algorithm it was shown that the condition numbers are controlled by a user-defined tolerance value, which is used to select the adaptive primal constraints from generalized eigenvalue
problems on each equivalence classes, i.e., on edges and faces.
The upper and lower envelope of the signal are calculated with the eigenvectors associated with eigenvalue
[lambda] = 1.
as the decomposition for the solution of (1), where [mathematical expression not reproducible], are the eigenvalue
and eigenfunction pairs for the -[DELTA] + V operator.
Gao and Ma  studied the eigenvalues
of periodic and antiperiodic eigenvalue
problems of discrete linear secondorder difference equation (4) with sign-changing weight.
The energy eigenvalue
of an nth level is obtained through q iterations where q [greater than or equal to] n.
(1) E is an eigenvalue
of [H.sub.[lambda]] with multiplicity m.
Since we, in this paper, deal with the improving of the algorithm to determine whether a quadratic eigenvalue
problem is definite or not, let us briefly summarize what has been done so far in the literature up to this point.
Let us note the result of , where the lower estimate for the derivative of the first eigenvalue
[[lambda]'.sub.1]([alpha]) were obtained:
If A [member of] [C.sup.nxn] and A = ([a.sub.ij]), then every eigenvalue
of A is contained in the plane, which is
For the eigenvalue
assignment in [A.sup.r.sub.z], we encounter the singularly perturbed structure, so that the two-stage method is applied for a two time-scale problem.
Motivated, as mentioned above, with the need of new fractional derivatives with nice properties we study in this article the eigenvalue
problems of Sturm-Liouville into conformable (fractional) calculus.
Lin and Parker  used eigenvalue
derivatives to show the effect of carrier rotation on eigenvalue
are defined as the variance explained in the eigenvectors.