1989
DOI: 10.1016/0022-314x(89)90014-0
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On the practical solution of the Thue equation

Abstract: This paper gives in detail a practical general method for the explicit determination of all solutions of any Thue equation. It uses a combination of Baker's theory of linear forms in logarithms and recent computational diophantine approximation techniques. An elaborated example is presented.

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Cited by 139 publications
(122 citation statements)
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“…Hence log b = max{log b + 0.14, 21 16 , 1 2 } ≤ log 2.070725565 · 10 13 (log log 10 7 ) 1/3 + 0.14 < 30.46069518, and therefore we have log r 1 t 2 δ Λ > −5.064759008 · 10 15 log t(log log t) 2/3 .…”
Section: Zieglermentioning
confidence: 91%
See 1 more Smart Citation
“…Hence log b = max{log b + 0.14, 21 16 , 1 2 } ≤ log 2.070725565 · 10 13 (log log 10 7 ) 1/3 + 0.14 < 30.46069518, and therefore we have log r 1 t 2 δ Λ > −5.064759008 · 10 15 log t(log log t) 2/3 .…”
Section: Zieglermentioning
confidence: 91%
“…This method is based on Baker's theorems on linear forms in logarithms [1,3]. Baker's method was further developed by Tzanakis and de Weger [21] and by Bilu and Hanrot [6,7]. So we have efficient algorithms to solve single Thue equations.…”
Section: Introductionmentioning
confidence: 99%
“…We write the left hand side of (14) as e A -1, and thus we find that |A| is small. In fact, following [3], we obtain, assuming m > y ; , that…”
Section: Upper Bounds For Linear Forms In Logarithmsmentioning
confidence: 91%
“…First we reduce equation (2) to a set of quintic Thue equations. Then, following classical arguments as outlined in [3], and using the theory of linear forms in logarithms of algebraic numbers as in [1], we derive large upper bounds for the unknowns in these Thue equations. Finally, by computational diophantine approximation techniques, following [3], and using a new idea of Yuri Bilu to improve efficiency, we reduce these large upper bounds to small upper bounds, and thus are able to find all the solutions.…”
Section: Introductionmentioning
confidence: 99%
“…Despite numerous recent improvements, the algorithmic solution of this equation still relies on the algorithm described in [21].…”
Section: Introductionmentioning
confidence: 99%