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2013
DOI: 10.1080/07362994.2013.741400
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Linear Backward Stochastic Differential Equations of Descriptor Type: Regular Systems

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Cited by 20 publications
(25 citation statements)
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“…However, in the present version of the paper, this case would not be considered further as the interest reader can look the [16] and the relevant references therein for further details. Here, the case of a general matrix C can also be dealt with in a similar fashion to that in [16], but as shown there such conditions are less explicit. Similar derivation can be done even for our present case of symmetric/skew-symmetric coefficients, but at significant notational complexity, and hence it is omitted.…”
Section: Main Results: Existence and Uniquenessmentioning
confidence: 95%
See 4 more Smart Citations
“…However, in the present version of the paper, this case would not be considered further as the interest reader can look the [16] and the relevant references therein for further details. Here, the case of a general matrix C can also be dealt with in a similar fashion to that in [16], but as shown there such conditions are less explicit. Similar derivation can be done even for our present case of symmetric/skew-symmetric coefficients, but at significant notational complexity, and hence it is omitted.…”
Section: Main Results: Existence and Uniquenessmentioning
confidence: 95%
“…The case when the matrix coefficient B 0 ≠ , (and inevitably u(t) is also appeared) can be discussed separately and presented similarly as in paper [16], where the normalizability process can be also derived assuming a special type for the controller u(t), see for instance [22,21]. However, in the present version of the paper, this case would not be considered further as the interest reader can look the [16] and the relevant references therein for further details. Here, the case of a general matrix C can also be dealt with in a similar fashion to that in [16], but as shown there such conditions are less explicit.…”
Section: Main Results: Existence and Uniquenessmentioning
confidence: 95%
See 3 more Smart Citations