2021
DOI: 10.1016/j.laa.2021.06.005
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Eigenvalues and eigenvectors of tau matrices with applications to Markov processes and economics

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Cited by 6 publications
(5 citation statements)
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“…We can associate to this matrix a function g of the form g(θ) = a + 2b cos θ. For some values of ε and ϕ, the exact eigenvalues of T n, ,ϕ (g) are given by a sampling with specific grids; for detailed examples see [7] and [21] for asymptotic results.…”
Section: Etna Kent State University and Johann Radon Institute (Ricam)mentioning
confidence: 99%
“…We can associate to this matrix a function g of the form g(θ) = a + 2b cos θ. For some values of ε and ϕ, the exact eigenvalues of T n, ,ϕ (g) are given by a sampling with specific grids; for detailed examples see [7] and [21] for asymptotic results.…”
Section: Etna Kent State University and Johann Radon Institute (Ricam)mentioning
confidence: 99%
“…We can associate to this matrix a function g of the form g(θ) = a + 2b cos θ. For some values of ε and ϕ the exact eigenvalues of T n,ǫ,ϕ (g) are given by sampling with specific grids; for detailed examples see [6] and [18] for asymptotic results.…”
Section: Matrix Algebrasmentioning
confidence: 99%
“…We notice that any matrix X n belonging to the τ class [1,2,9] is diagonalized by the sine transform S n reported in (8), whose columns v…”
Section: Eigenvaluesmentioning
confidence: 99%
“…Table 2: [Ordering of eigenvalues (non-monotone symmetric symbol, f (θ) = cos(θ) + cos(2θ)))] Ordering of the eigenvalues using permutation Π−1 n (j), where two eigenvalues have switched places, does not give a missmatch of (−1) j+1 λ Π−1 n (j) (T n (f )) and λ ρ(j) (H n (f )) (as in Table 1). A closely related matrix, to the Toplitz matrix T n (f ) in Remark 3, is the Toeplitz-like matrix T n,0,0 = T n (f )−R n where R n is a low-rank matrix with 1/2 in the top left and bottom right corners; T n,ε,ϕ (f ) is the generated matrix by the symbol f belonging to the τ ε,ϕ -algebra; e.g., see [1,2,9]. For all matrices T n,ε,ϕ (f ), where ε, ϕ ∈ {−1, 0, 1} we know the full eigendecomposition and "perfect grids" ξ j,n ; e.g., λ j (T j,0,0 (f )) = f (θ j,n ) and Q n is the discrete sine transform, DST.…”
Section: Eigenvaluesmentioning
confidence: 99%
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