1995
DOI: 10.1016/0024-3795(93)00366-8
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Existence of algebraic matrix Riccati equations arising in transport theory

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Cited by 84 publications
(58 citation statements)
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“…This means that the players are committed to follow an a priori strategy. In a linear-quadratic game with infinite time horizon, the existence of a Nash equilibrium is closely related to the solvability of a set of coupled algebraic Riccati equations which can be reformulated as a single nonsymmetric algebraic Riccati equation [1,7,6,22,18]. We show further how these results can be recast by our pencil approach while removing the restrictive invertibility hypotheses present in the literature.…”
Section: Basic Notationmentioning
confidence: 83%
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“…This means that the players are committed to follow an a priori strategy. In a linear-quadratic game with infinite time horizon, the existence of a Nash equilibrium is closely related to the solvability of a set of coupled algebraic Riccati equations which can be reformulated as a single nonsymmetric algebraic Riccati equation [1,7,6,22,18]. We show further how these results can be recast by our pencil approach while removing the restrictive invertibility hypotheses present in the literature.…”
Section: Basic Notationmentioning
confidence: 83%
“…Besides the symmetric Riccati equation, the theory of nonsymmetric algebraic Riccati equation, both continuous and discrete-time, has received recently a renewed interest due to a large number of applications in various fields, including applied mathematics, engineering and economic science (see for instance [1,6,22,18]). The nonsymmetric algebraic Riccati equation extends the concept of standard Riccati equation by allowing for a not necessarily square matrix variable.…”
mentioning
confidence: 99%
“…, p n > 0. Such Riccati equations arise in Markov models [27] and in nuclear physics [6,16,20]. In the latter application, to study the transport of particles, one introduces integral equations of the form…”
Section: Introductionmentioning
confidence: 99%
“…For this the function T (x, y) is approximated via a matrix X = [x ij ], where x ij is an approximation of T (µ i , ν j ) with µ i , ν j being the ith and jth nodes of the quadrature formula on [−α, 1] and [α, 1], respectively, e.g. [16].…”
Section: Introductionmentioning
confidence: 99%
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