Durango Bill’s
The Search for a Counterexample
to
Beal’s Conjecture
The search for a
counterexample to Beal's Conjecture. Computer search
results.
Does the equation
A
x + B
y = C
z
have any solution where:
1) A, B, C, are positive integers
2) x, y, z are positive integers > 2
3) and A, B, C have no common factor?
If you can answer the above question (with either a “Yes” or a
“No”), the American Mathematical Society has a $1,000,000 prize
waiting for you.
http://www.ams.org/profession/prizes-awards/ams-supported/beal-prize
The problem is known as Beal’s Conjecture.
http://www.bealconjecture.com/
http://en.wikipedia.org/wiki/Beal%27s_conjecture
Beal’s Conjecture is that there are no solutions unless A,B,C have
a common divisor > 1.
Now for the bad news. If you answer “No”, you have to
prove that there are no counterexamples as per the above. If you
answer “Yes”, you have to provide a counterexample.
The “No” answer has so far eluded mathematicians. The
“Yes” answer is something that a computer search might find. (At
this point, it appears highly unlikely that there are any
counterexamples. It also appears highly unlikely that there is any
way to prove that the conjecture is true.)
“Solutions” to A
x + B
y = C
z with
C
z <= 1000 (but A, B, C have a common factor)
Count
A
x
B
y
C
z
gcd(A,B,C)
-------------------------------------------------------
1 2
3 2
3 2
4 2
2 2
4 2
4 2
5 2
3 2
5 2
5 4
3 2
4 2
5 2
5 2
6 2
5 2
6 2
6 2
7 2
6 2
7 2
7 4
4 2
7 2
7 2
7 2
8 2
8 2
8 2
8 8
3 2
9 2
8 2
8 2
9 2
10
4 3
2 6
2 7
2
11
4 3
4 3
2 7
2
12
4 4
2 8
8 3
2
13
4 4
2 8
2 9
2
14
4 4
4 4
8 3
4
15
4 4
4 4
2 9
2
16
6 3
3 3
3 5
3
The table above shows “solutions” up to C
z
<= 1,000. However, we note that for each of the above 16
“solutions”, the “A”, “B”, and “C” integers can all be divided by
the gcd (Greatest Common Divisor).
“2” to the “whatever” is a common term in all but one
of the above solutions. The equation 2
N + 2
N
= 2
N+1 can be used to form an infinite number of
“solutions”. (Simply use any N > 2.) However, all of these have
a common factor of 2 (or some multiple of 2).
To win the $1,000,000 prize money, you have to find
some combination where the A, B, and C terms don’t have a common
factor. (Or alternately, prove that there is no possible answer.)
The good news is that this kind of a search is amenable to
computer programs.
The Computer
Search
The computer search is relatively easy. First, you
compile a table of X
Y terms. Then you just search the
results to see if the sum of any 2 terms matches something else.
The table below shows all possible X
Y combinations up
to 1,000.
Count
X
Y(>2)
XY
--------------------------------
1
1
3
1 Note: “1” to any power = 1
2
2
3 8
3
2
4 16
4
2
5 32
5
2
6 64
6
2
7 128
7
2
8 256
8
2
9 512
9
3
3 27
10
3
4 81
11
3
5 243
12
3
6 729
13
4
3 64
14
4
4 256
15
5
3 125
16
5
4 625
17
6
3 216
18
7
3 343
19
8
3 512
20
9
3 729
21
10
3
1000
To win the $1,000,000, all you have to do is to
search the table to find two terms in the X
Y column
such that their sum is equal to some other term. For example, if
we use row 17 (X = 6) and row 9 (X = 3), the X
Y sum for
these two terms is 216 + 27 = 243. The 243 matches the 243 in row
11. The bad news is that the three Xs involved (6, 3, and 3) all
have a common factor such that they can be divided by 3.
The author wrote a computer program (actually, a
couple of different versions) that can extend the search to larger
numbers. Some of the statistics involved are shown in the table
below. (Upper Limit = search up to this value for C
z in
A
x + B
y = C
z.)
Upper
Number of
Nbr. of Ax +
By
Nbr. of
Limit
XY
Terms
Candidates Solutions
----------------------------------------------------------------
1.0E2
8
36
4
1.0E3
21
231
16
1.0E4
47
1,128
44
1.0E5
93
4,371
73
1.0E6
179
16,110 101
1.0E7
348
60,726 164
1.0E8
679
230,860
228
1.0E9
1,347
907,878 294
1.0E10
2,721
3,703,281
403
1.0E11
5,573
15,531,951
510
1.0E12
11,540
66,591,570 615
1.0E13
24,115
290,778,670
811
1.0E14
50,748
1,287,705,126 1,036
1.0E15
107,363
5,763,460,566
1,320
1.0E16
228,046
26,002,603,081
1,689
1.0E17
485,860
118,030,212,730
2,213
1.0E18
1,037,553
538,258,632,681
2,850
1.0E19
2,219,692
2,463,517,397,278
3,806
1.0E20
4,755,381
11,306,826,605,271
5,200
1.0E21
10,199,002
52,009,825,997,503 7,100
1.0E22
21,893,199
239,656,092,173,400
9,825
1.0E23
47,028,653 1,105,847,125,011,531
13,762
1.0E24
101,078,157 5,108,396,961,797,403
19,581
1.0E25
217,343,187 23,619,030,793,673,266
?
1.0E26
467,510,251 109,282,918,096,306,878
?
1.0E27 1,005,918,386
505,935,900,149,381,691
?
1.0E28 2,164,895,594
2,343,386,467,542,754,215
?
1.0E29 4,660,092,821
= (N^2 - N)/2 + N
1.0E30 10,032,752,675 N = Nbr. of X^Y
terms
In the above table “Nbr. of A
x + B
y
Candidates” is the number of combinations that a computer program
has to test to see if the result produces a valid solution for the
equation A
x + B
y = C
z. The
calculation is equal to COMBIN( Number of X
y, 2) terms
+ N. (The “+N” factor allows A
x to equal B
y
- for example 2
3 + 2
3 = 2
4).
Computer processing time is roughly proportional to
the Nbr. of A
x + B
y Candidates. Thus the run
time for each new row is about 4 1/2 to 5 times longer than the
row above it. (The actual ratio appears to approach 10^(2/3) ~=
4.64. It’s actually worse for the largest powers due to increased
hash table densities.) (The current algorithm for the Threadripper
search cuts this ratio to about 3.83 per row.)
Available computer memory space is also a limiting
factor as the search area becomes larger. When the search is
extended to C
Z <= 1.0E30, there are 10,032,752,675
rows in the X
Y table. Relevant information has to be
stored in the computer for all 10,032,752,675 of these. If you
tried to physically print the X
Y list using single
spacing typing at 6 lines per inch, the printed list would be over
26,390 miles long.
(There’s an interesting side note that the number of X
Y
terms that are less than the limit seems to asymptotically
approach the cube root of the limit.)
Results of the
Computer Search
There are no counterexamples to Beal’s Conjecture
with C
Z <= 1.0E28. A variation of the program
assumed that at least one of the exponents ("X" and/or "Y") must
be >= 5. This allowed a search to 1.0E30. There are no
counterexamples with C
Z <= 1.0E30 (Assumes at least
one of the exponents ("X", "Y") is > 4). (This program
variation required 10,032,752,675 rows in X
Y table -
and about 108 GB of total RAM were used for some very large
arrays. The program ran for over 2 months on an AMD Threadripper
2920X processor and used all 12 cores via multi-threading.)
No solution exists if the exponents are (3,3,3) or
(4,4,4) because of "Fermat's Last Theorem". Solutions exist if the
exponents are (3,3,4) or (3,4,4) in any order, but the Wikipedia
article on Beal's Conjecture (
https://en.wikipedia.org/wiki/Beal_conjecture
) references sources that prove that these solutions can not be
counterexamples. Thus, at least one of the exponents ("X", "Y",
"Z") must contain a "5" or higher.
If a counterexample exists, the exponents "X" and/or "Y"
must contain at least one exponent >= "4". A search out to C
z
< 1.0E28 was made with the restriction that exponent "X" was
>= 4.
51,660 general solutions to A
x + B
y =
C
z were found. All of these had a GCD(A, B, C) >= 2
- hence none of them is a counterexample. The complete list can be
seen at:
http://www.durangobill.com/BealXgt3e28.pdf
(Large file 5.4 MB)
The last 10 (sorted by C
z) of these
general solutions are:
Count Base
Power Base
Power Base
Power CZ
GCD
A
X
B
Y
C
Z
(A, B, C)
51,651 9,985,740
4 356,158,060 3
2,153,591,260 3
9.9883E+27 3,328,580
51,652 8,251,453
4 1,749,308,036 3
2,153,629,233 3 9.9888E+27
8,251,453
51,653 9,363,779
4 1,320,292,839
3 2,153,669,170 3
9.9893E+27 9,363,779
51,654 9,446,248
4 1,265,797,232
3 2,153,744,544
3 9.9904E+27 9,446,248
51,655 6,194,994
4 2,042,283,022 3
2,153,792,914 3
9.9911E+27 2,064,998
51,656 9,994,896 4
234,880,056 3
2,153,900,088 3 9.9926E+27
4,997,448
51,657 7,720,118
4 1,860,548,438 3
2,153,912,922 3
9.9927E+27 7,720,118
51,658 9,790,625 4
930,109,375 3
2,153,937,500 3
9.9931E+27 9,790,625
51,659 9,574,777
4 1,168,122,794
3 2,154,324,825 3
9.9985E+27 9,574,777
51,660 9,973,873 4
468,772,031 3
2,154,356,568 3
9.9989E+27 9,973,873
Another variation of the program assumed that at
least one of the exponents ("X", "Y") must be >= 5. A computer
search out to C
z <= 1.0E30 was made. 6,425 general
solutions to A
x + B
y = C
z were
found, but all of these had a GCD(A,B,C) >= 2, and are thus not
counterexamples. The 6,425 solutions can be seen at
http://www.durangobill.com/BealXgt4e30.pdf
. Here are the last 10 of these:
Count Base Power
Base Power
Base Power
CZ GCD
A
X
B Y
C
Z
(A, B, C)
6416 999 9
998,001
5 9,970,029,990 3
9.9104E+29 999
6417 999
10 997,002,999
3 9,970,029,990 3
9.9104E+29 999
6418 998,001 5
997,002,999 3 9,970,029,990
3 9.9104E+29
998,001
6419 971,074
5 18,935,943 4
31,559,905 4
9.9207E+29 485,537
6420 18,557 7
6,198,520,482 3 9,986,505,221
3
9.9596E+29 18,557
6421 69,312 6
9,608,306,688 3
31,606,272 4 9.9791E+29
69,312
6422 99,968 6
199,936 5
999,680 5
9.9840E+29 99,968
6423 199,936 5
9,993,601,024 3
999,680 5
9.9840E+29 199,936
6424 99,999 6
99,999
5 999,990
5 9.9995E+29 99,999
6425 99,999
5 9,999,800,001 3
999,990 5
9.9995E+29 99,999
For the equation A
X + B
Y = C
Z,
there has been some speculation that two of the exponents (X,Y,Z)
must be the same – or that they can be transformed into an
equivalent expression where they are the same. As an example of
something that can be transformed we have:
4
3 + 2
6 = 2
7
This can be transformed to:
4
3 + (2
2)
3 = 2
7
In the above example, the exponent “6” has been transformed to a
“3”.
Some examples that disprove this conjecture include:
162
3 + 27
4 = 9
7
486
3 + 27
5 = 3
17
It appears that no “no common factor” solution
exists. However, you have to be a pretty good mathematician to
prove it – about $1,000,000 worth of “pretty good”.
Is the $1,000,000 Beal Prize
Winnable?
It’s beginning to look like:
1) Finding a counterexample is impossible because there are no
counterexamples.
2) Proving that Beal’s Conjecture is true also appears to be
impossible.
1) Finding a counterexample may be impossible
If one or more Beal counterexamples existed, they would have to be
a subset of the Fermat-Catalan Conjecture.
For additional information, see:
https://en.wikipedia.org/wiki/Fermat%E2%80%93Catalan_conjecture
and
http://mathworld.wolfram.com/Fermat-CatalanConjecture.html
The Fermat-Catalan Conjecture is similar to Beal’s
Conjecture except that the following restriction is placed on the
exponents.
1/x + 1/y + 1/z < 1.0
The above restriction allows one of the exponents (x,
y, z) to be a “2” while Beal’s Conjecture requires all three
exponents (x, y, z) to be “3” or greater. The Fermat-Catalan
Conjecture implies the number of FCC solutions is finite. The 10
known FCC solutions are shown below.
1) 1
m + 2
3 = 3
2
(m
> 6)
2) 2
5 + 7
2 = 3
4
3) 7
3 + 13
2 = 2
9
4) 2
7 + 17
3 = 71
2
5) 3
5 + 11
4 = 122
2
6) 17
7 + 76271
3 = 21063928
2
7) 1414
3 + 2213459
2 = 65
7
8) 9262
3 + 15312283
2 = 113
7
9) 43
8 + 96222
3 = 30042907
2
10) 33
8 + 1549034
2 = 15613
3
The author has confirmed that of the 9,725 solutions
to the Fermat Catalan Conjecture up to C
Z <= 1.0E19,
the 10 solutions shown above are the only 10 where A, B, and C are
coprime. The 9,725 solutions can be seen here.
http://www.durangobill.com/FermatCatalan.pdf
Since Beal Counterexamples (if any exist) are a
subset of Fermat Catalan solutions, the number of Beal
Counterexamples has to be less than the number of Fermat Catalan
solutions.
As the Beal Counterexample search expands, the
density of Beal solutions (allowing common factors) becomes
increasingly sparse as the number field becomes larger. If one or
more Beal Counterexamples existed, something should have shown up
somewhere under C
Z <= 1.0E28. It appears that the
subset size of Beal Counterexamples is “0”.
2) Proving the conjecture may be impossible
The limiting factor for the Beal Conjecture is the
constraint that a solution must have no common factor among the 3
bases. (The A, B, C). We have seen that there are an infinite
number of solutions where common factors exist.
If we look at the equation A
2 + B
2
= C
2 (The 2 sides and hypotenuse of a Pythagorean right
triangle), there are an infinite number of solutions where A, B,
and C do not have a common factor. For example:
Count
P
Q
A
B C
----------------------------------------------------------
1
2
1
3
4 5
2
3
2
5
12 13
3
4
3
7
24 25
4
5
4
9
40 41
5
6
5
11
60 61
6
7
6
13
84 85
N+1
P[N]+1 Q[N]+1
=P2-Q2
=2PQ =P2+Q2
Count
P
Q
A
B C
----------------------------------------------------------
1
2
1
3
4 5
2
5
2
21
20 29
3
12
5
119
120 169
4
29
12
697
696 985
5
70
29 4,059
4,060 5,741
6
169
70 23,661
23,660 33,461
N+1
2P[N]+P[N-1] P[N] =P2-Q2
=2PQ
=P2+Q2
Count
A
B
C
--------------------------------------------------------
159,154,989
8,005,059 999,967,900
999,999,941
159,154,990
255,405,891
966,833,860
999,999,941
159,154,991
576,010,660
817,442,109
999,999,941
159,154,992
637,064,259
770,810,620
999,999,941
159,154,993
26,497,560
999,648,839
999,999,961
159,154,994
469,112,280
883,138,489
999,999,961
The 3 tables above show Pythagorean right triangles
where the bases (A, B, and C) have no common factor. We note that
if any pair (AB, AC, or BC) has any common factor, then ordinary
algebraic factoring shows that the 3rd element will also share the
same common factor.
The first table shows Pythagorean Triangles where the
long side and the Hypotenuse differ by just 1. The 2nd table shows
solutions where the two sides differ by 1. We also note that any
two consecutive integers cannot have a common factor.
The 3rd table shows the last 6 primitive (no common
factor) Pythagorean Triples with Side C <= 1,000,000,000. While
none of the sides in table 3 are prime numbers, each triple is
coprime since there is no common factor in the 3 sides.
The number of coprime (no common factor) Pythagorean
solutions expands in direct proportion to the size of the
hypotenuse (Side C). With side C (the hypotenuse) <=
1,000,000,000, there are 3,080,075,432 different Pythagorean
triangles. Of these, 159,154,994 have coprime sides. See:
https://oeis.org/A101930/internal
and
http://oeis.org/A101931/internal
The above shows that there are no constraints that
prevent the bases (A, B, C) from being coprime (no common factor)
for the equation: A
2 + B
2 = C
2.
Similarly there are no constraints that prevent
coprime solutions to Fermat-Catalan equations. However, the larger
exponents for the FCC equation (A
x + B
y = C
z)
reduce the number of solutions to a small finite number.
To prove that the Beal Conjecture is true, you would
have to find some property that forces Beal Counterexamples to be
limited to those solutions that have common factors while the
Pythagorean and Fermat-Catalan equations are free to include
coprime solutions. Without this property, it will be impossible to
prove that the Beal Conjecture is true. There doesn’t appear to be
any property that forces this result.
Thus it appears that there are no counterexamples to
the Beal Conjecture, and at the same time, it may be impossible to
prove it. The $1,000,000 Beal prize may be unwinnable.
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