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1912
DOI: 10.1112/plms/s2-10.1.128
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On the Reduction and Classification of Binary Cubics which Have a Negative Discriminant

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Cited by 17 publications
(11 citation statements)
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“…-Voir [7] et [17]. D Aux constantes près, on a les mêmes majorations que dans le lemme 3.4 (voir [7], lemme 1]) : LEMME 3.6.…”
Section: Méthode De Davenport-heilbronnunclassified
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“…-Voir [7] et [17]. D Aux constantes près, on a les mêmes majorations que dans le lemme 3.4 (voir [7], lemme 1]) : LEMME 3.6.…”
Section: Méthode De Davenport-heilbronnunclassified
“…Par contre, dans le cas réel, les automorphismes du Hessien forment un groupe monogène infini, donc la réduction d'Hermite est inadaptée (pour tout ce qui a trait aux classes de formes quadratiques, automorphismes, réduction, nous renvoyons le lecteur au précis de Buell [2]). La réduction des formes de discriminant négatif (due à Mathews et Berwick, voir [7] et [17]) aboutit alors à un domaine fondamental différent.…”
Section: Méthode De Davenport-heilbronnunclassified
“…Unfortunately he was not counting orders but classes of binary cubic forms modulo Γ := SL(2, Z), not modulo GL(2, Z) as we need them. Using reduction theory for binary cubics originating in Hermite [15] and Mathews-Berwick [16], he obtained a bijection between classes (modulo Γ) of forms of discriminant ∆, 0 < ±∆ < X, and integer points in semi-algebraic sets C , with a > 0, is associated to the Γ-class of ax 3 + bx 2 y + cxy 2 + dy 3 . Davenport then proceeded to count these integer points.…”
Section: 3mentioning
confidence: 99%
“…Finally, we compare our bounds with the results given in [ , which is best possible since x 3 + x 2 − 2x − 1 has = 49. Now the constant appearing here is 1/ √ 7 = 0.3780, which is slightly smaller than the constant 2/3 √ 3 = 0.3849 which appears in our bound (13). However, Mordell's theorem does not state that the equivalent cubic which minimizes the leading coefficient is actually reduced, so that one cannot deduce, as we did above, that the seminvariant P is simultaneously bounded.…”
Section: Algorithmmentioning
confidence: 59%