In the equation a + bx = c + dy
, all variables are integers. a
, b
, c
, and d
are known. How do I find integral solutions for x
and y
? If I'm thinking right, there will be an infinite number of solutions, separated by the lowest common multiple of b
and d
, but all I need is one solution, and I can calculate the rest. Here's an example:
a = 2
b = 3
c = 4
d = 5
a + bx: (2, 5, 8, 11, 14)
c + dy: (4, 9, 14, 19, 24)
a + bx intersects c + dy at 14, so:
x = 4
y = 2
Right now, I'm looping through integral values of x
until I find an integral value for y
(pseudocode):
function integral_solution(int a, int b, int c, int d) {
// a + bx == c + dy
// (a + bx - c) / d == y
// Some parameters may have no integral solution,
// for example if b == d and (a - c) % b != 0
// If we don't have a solution before x == d, there is none.
int x = 0;
while (x < d)
{
if ((a + bx - c) % d == 0)
{
return [x, (a + bx - c) / d];
}
x++;
}
return false;
}
I feel like there's a better way to do this. Is there any way to find x and y without a loop? I'm using C++, if that's of any importance.
Linear Diophantine equations take the form ax + by = c
. If c
is the greatest common divisor of a
and b
this means a=z'c
and b=z''c
then this is Bézout's identity of the form
with a=z'
and b=z''
and the equation has an infinite number of solutions. So instead of trial searching method you can check if c
is the greatest common divisor (GCD) of a
and b
(in your case this translates into bx - dy = c - a
)
If indeed a
and b
are multiples of c
then x
and y
can be computed using extended Euclidean algorithm which finds integers x
and y
(one of which is typically negative) that satisfy Bézout's identity
and your answer is:
a = k*x
,
b = k*y
,
c - a = k * gcd(a,b)
for any integer k.
(as a side note: this holds also for any other Euclidean domain, i.e. polynomial ring & every Euclidean domain is unique factorization domain). You can use Iterative Method to find these solutions:
By routine algebra of expanding and grouping like terms (refer to last section of wikipedia article mentioned before), the following algorithm for iterative method is obtained:
pseudocode:
function extended_gcd(a, b)
x := 0 lastx := 1
y := 1 lasty := 0
while b ≠ 0
quotient := a div b
(a, b) := (b, a mod b)
(x, lastx) := (lastx - quotient*x, x)
(y, lasty) := (lasty - quotient*y, y)
return (lastx, lasty)
So I have written example algorithm which calculates greatest common divisor using Euclidean Algorithm iterative method for non-negative a
and b
(for negative - these extra steps are needed), it returns GCD and stores solutions for x
and y
in variables passed to it by reference:
int gcd_iterative(int a, int b, int& x, int& y) {
int c;
std::vector<int> r, q, x_coeff, y_coeff;
x_coeff.push_back(1); y_coeff.push_back(0);
x_coeff.push_back(0); y_coeff.push_back(1);
if ( b == 0 ) return a;
while ( b != 0 ) {
c = b;
q.push_back(a/b);
r.push_back(b = a % b);
a = c;
x_coeff.push_back( *(x_coeff.end()-2) -(q.back())*x_coeff.back());
y_coeff.push_back( *(y_coeff.end()-2) -(q.back())*y_coeff.back());
}
if(r.size()==1) {
x = x_coeff.back();
y = y_coeff.back();
} else {
x = *(x_coeff.end()-2);
y = *(y_coeff.end()-2);
}
std::vector<int>::iterator it;
std::cout << "r: ";
for(it = r.begin(); it != r.end(); it++) { std::cout << *it << "," ; }
std::cout << "\nq: ";
for(it = q.begin(); it != q.end(); it++) { std::cout << *it << "," ; }
std::cout << "\nx: ";
for(it = x_coeff.begin(); it != x_coeff.end(); it++){ std::cout << *it<<",";}
std::cout << "\ny: ";
for(it = y_coeff.begin(); it != y_coeff.end(); it++){ std::cout << *it<<",";}
return a;
}
by passing to it an example from wikipedia for a = 120
and b = 23
we obtain:
int main(int argc, char** argv) {
// 120x + 23y = gcd(120,23)
int x_solution, y_solution;
int greatestCommonDivisor = gcd_iterative(120, 23, x_solution, y_solution);
return 0;
}
r: 5,3,2,1,0,
q: 5,4,1,1,2,
x: 1,0,1,-4,5,-9,23,
y: 0,1,-5,21,-26,47,-120,
what is in accordance with the given table for this example:
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