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Re: exponential diophantine equations
*To*: mathgroup at smc.vnet.net
*Subject*: [mg62964] Re: [mg62922] exponential diophantine equations
*From*: Andrzej Kozlowski <akoz at mimuw.edu.pl>
*Date*: Fri, 9 Dec 2005 05:10:43 -0500 (EST)
*Sender*: owner-wri-mathgroup at wolfram.com
Here is one approach. We will need the package:
<< NumberTheory`NumberTheoryFunctions`
Let's start with a primitive approach and then improve it to run much
faster. The primitive approach would be like this. First we write
your equation as
2^k*3*(k + 5)^2 + 131*k + 7 == (5*x)^2
Let us define a function f[k] as follows:
f[k_Integer] := 2^k*3*(k + 5)^2 + 131*k + 7
What we are looking for is values of k for which the the following
are true:
1. f[k] is 0 mod 25.
2. f[k] is a perfect square.
It is easy to write a slow function that looks for such k. First of
all, we need a function f[k_,n_] which efficiently computes Mod[f
[k],n]. Here is this function:
f[k_Integer, p_Integer] :=
Mod[PowerMod[2, k, p]*Mod[3, p]*PowerMod[k + 5, 2, p] + Mod
[131*k + 7,
p], p]
The test for divisibility of f[k] by 25 takes the form
test25[k_Integer] := f[k, 25] == 0
We also need a test to check if a number is a perfect square. Here is
the obvious one:
test1[x_Integer] := IntegerQ[Sqrt[f[x]]]
Now let's define a function that combines both tests:
h = Function[x, Evaluate[And @@ Prepend[{test1[x]}, test25[x]]]];
Let's check that this will work well on the one solution we know:
h[6]
True
On the other hand:
h[7]
False
OK, using this function we can now try to find any solutions for k
between 1 and 10000:
Select[Range[10000],h]//Timing
{36.1681 Second,{6}}
This is rather slow so we try something more sophisticated. Instead
of checking is f[k] is a square root we will check if it is a square
root modulo a prime p. We will use a large number of primes and this
will still be faster than doing an integer check. Here is the test
function:
test[k_Integer, p_Integer] := ReleaseHold[Block[ {$Messages = {}},
Check[SqrtMod[f[k, p], p]; True, False]
]]
I do not have the time at this moment to explain exactly what this
does. The key function is SqrtMod from the NumberTheoryFunctions
package. it computes square roots modulo a prime. Here is now a
function that will check if f[k] of a number is a square module the
first n -primes (it also checks if f[k] is divisible by 25)
g[k_] := Function[
x, Evaluate[And @@ Prepend[Table[test[x, Prime[i]], {i, 1, k}],
test25[x]]]]
I am going to use g[200] which checks the first 200 primes.
let7s try the above computation with g[200]:
Select[Range[10000],g[200]]//Timing
{3.41956 Second,{6}}
Note that we still correctly identified the solution 6, but we got it
a lot faster. So we can try looking at larger ranges. If we find a
some possible solutions we still have to run the primitive test on
them to check if they are real solutions and not just solutions
modulo the first 200 primes.
In[21]:=
Select[Range[20000],g[200]]//Timing
Out[21]=
{6.82253 Second,{6}}
Still no luck, but performance seems to scale quite well. I have no
time now to try looking for more solutions (as my lecture will begin
in half an hour) but we know that for k between 1 and 20000 there is
only one solution, which is the one you already knew.
Andrzej Kozlowski
On 9 Dec 2005, at 02:02, Andrea wrote:
> Dear Andrzej,
>
> Oh those signs! I typed +7. Mistake. It should be -7.
>
> Andrea
>
> At 01:38 AM 12/8/2005, Andrzej Kozlowski wrote:
>
>> On 8 Dec 2005, at 17:27, Andrea wrote:
>>
>>>
>>> I'm trying to find out how to use Mathematica to find solutions to
>>> exponential diophantine equations like the following:
>>>
>>> (5x)^2 - 2^k * 3 * (5+k)^2 - 131 * k + 7 = 0. I want to
>>> obtain
>>> solutions for x and k. (One solution is x = 31, k = 6, but I didn't
>>> find
>>> this using Mathematica!)
>>
>> Are you sure you have found a solution? I get:
>>
>> In[30]:=
>> (5x)^2 - 2^k * 3 * (5+k)^2 - 131 * k + 7 /.{x->31,k->6}
>>
>> Out[30]=
>> 14
>>
>>
>> One can certianly try some "educated searches" but before starting it
>> woudl be better to be sure that this is really the equation you want
>> to solve!
>>
>> Andrzej Kozlowski
>>
>
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