The four row Gershgorin discs have centres and radii , respectively. Their real-axis intersections areNone of the Gershgorin discs contains zero, so the Gershgorin circle theorem givesThe discs centred at and are each isolated. By Gershgorin eigenvalue counting, they contain exactly one eigenvalue apiece, and both eigenvalues are simple. Each must be real: the characteristic polynomial is real, so a nonreal root would bring a distinct conjugate root into the same disc. Denote these eigenvalues by and . The remaining two eigenvalues lie in the union of the negative-centred discs.
For the shift , the distances satisfyfor either of the other eigenvalues , since its real part is at most . Thus is uniquely closest to . Once is checked not to be an eigenvalue, the natural full target-disc interval enclosure and a conservative asymptotic direction factor areAs always, inverse iteration requires a nonzero initial target component. The following calculation verifies the shift and gives sharper information.
For the tridiagonal matrix, let be the determinant of the leading block of . Expansion along the last row givesIn particular, , and . Both shifted linear systems are nonsingular. Further exact evaluations areThe intermediate value theorem gives a real root in each of , , and . As has polynomial degree four, these are all its roots and each is simple. In particular, is a diagonalizable matrix, and . The closest competitor to at the shift is , so this refinement yieldsFor the shift , the original Gershgorin discs only give and ; those bounds do not decide which is closer. The refined interval enclosures do:for the negative eigenvalues. Therefore the answer for this particular matrix is yes:Both shifts select the same eigenvector line and alternate signs because . The factor bounds concern asymptotic directional convergence, rather than a universal error reduction from the first iterate for a nonsymmetric matrix. The wider interval remains a valid full-disc enclosure for both shifts; records the stronger information obtained from the characteristic polynomial.
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