TURAN-Fundamental Sciences Symposium (TURAN25), İstanbul, Türkiye, 23 - 26 Haziran 2025, (Özet Bildiri)
Dual number matrices serve as effective tools in
modeling problems in brain science and multi-agent formation control. In the
literature one can find determinants, characteristic polynomials, eigenvalues,
and eigenvectors of dual number matrices. An n x n dual number matrix may
have exactly n eigenvalues, none, or
infinitely many. In this presentation, by taking a certain type of 4 x 4 dual number
tridiagonal matrix, we demonstrate that it
has exactly four eigenvalues, which directly result from structured
combinations of the eigenvalues of its real matrix components. Finally, we
present illustrative examples that support and clarify our theoretical
findings.
Keywords: Dual
numbers, Characteristic polynomial, Eigenvalues, Tridiagonal matrix,
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