It is proved that if a and b are different non-zero rational integers then the ``simultaneous Pell equations'' have at most 132 solutions in rational integers x, y, z.
Solving Families of Simultaneous Pell Equations
โ Scribed by Michael A Bennett
- Publisher
- Elsevier Science
- Year
- 1997
- Tongue
- English
- Weight
- 185 KB
- Volume
- 67
- Category
- Article
- ISSN
- 0022-314X
No coin nor oath required. For personal study only.
โฆ Synopsis
If a and b are distinct positive integers then a previous result of the author implies that the simultaneous Diophantine equations
x 2 &az 2 =y 2 &bz 2 =1 possess at most 3 solutions in positive integers (x, y, z). On the other hand, there are infinite families of distinct integers (a, b) for which the above equations have at least 2 positive solutions. For each such family, we prove that there are precisely 2 solutions, with the possible exceptions of finitely many pairs (a, b). Since these families provide essentially the only pairs (a, b) for which the above equations are known to have more than a single solution (in positive (x, y, z)), this lends support to the conjecture that the number of such solutions to the above equations is 2 in all cases.
๐ SIMILAR VOLUMES
We propose a general method for numerical solution of Thue equations, which allows one to solve in reasonable time Thue equations of high degree (provided necessary algebraic number theory data is available). We illustrate our method, solving completely concrete Thue equations of degrees 19 and 33.
For the family of parametrized Thue equations where n 4, d i distinct integers satisfying d i {0 or > d i {0, all solutions are determined for sufficiently large values of the integral parameter a using bounds on linear forms in logarithms.
This article lists a computer program in BASIC for solving an ill-conditioned nonlinear system of equations in the literature. Computational results are also presented here. Unlike the author's earlier publications, in which the penalty function is the sum of the absolute values of the residuals, an
The present method has several steps. The first step starts for each unknown with a random value in the interval for the unknown. The second step starts at a point near the best point obtained in step one; specifically, for each unknown variable, the second step starts with a value which is, say, th