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Diophantine Equation #1236

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70 changes: 70 additions & 0 deletions data_structures/hashing/number_theory/chinese_remainder_theorem.py
Original file line number Diff line number Diff line change
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# Chinese Remainder Theorem:

# If GCD(a,b) = 1, then for any remainder ra modulo a and any remainder rb modulo b there exists integer n,
# such that n = ra (mod a) and n = ra(mod b). If n1 and n2 are two such integers, then n1=n2(mod ab)

# Algorithm :

# 1. Use extended euclid algorithm to find x,y such that a*x + b*y = 1
# 2. Take n = ra*by + rb*ax

# import testmod for testing our function
from doctest import testmod


# Extended Euclid
def extended_euclid(a, b):
if b == 0:
return (1, 0)
(x, y) = extended_euclid(b, a % b)
k = a // b
return (y, x - k * y)


# Uses ExtendedEuclid to find inverses
def chinese_remainder_theorem(n1, r1, n2, r2):
"""
>>> chinese_remainder_theorem(5,1,7,3)
31

Explanation : 31 is the smallest number such that
(i) When we divide it by 5, we get remainder 1
(ii) When we divide it by 7, we get remainder 3

>>> chinese_remainder_theorem(6,1,4,3)
14
"""
(x, y) = extended_euclid(n1, n2)
m = n1 * n2
n = r2 * x * n1 + r1 * y * n2
return ((n % m + m) % m)


# ----------SAME SOLUTION USING InvertModulo instead ExtendedEuclid----------------

# This function find the inverses of a i.e., a^(-1)
def invert_modulo(a, n):
(b, x) = extended_euclid(a, n)
if b < 0:
b = (b % n + n) % n
return b


# Same a above using InvertingModulo
def chinese_remainder_theorem2(n1, r1, n2, r2):
"""
>>> chinese_remainder_theorem2(5,1,7,3)
31

>>> chinese_remainder_theorem2(6,1,4,3)
14
"""
x, y = invert_modulo(n1, n2), invert_modulo(n2, n1)
m = n1 * n2
n = r2 * x * n1 + r1 * y * n2
return (n % m + m) % m


if __name__ == '__main__':
testmod(name='chinese_remainder_theorem', verbose=True)
testmod(name='chinese_remainder_theorem2', verbose=True)
102 changes: 102 additions & 0 deletions data_structures/hashing/number_theory/diophantine_equation.py
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# Diophantine Equation : Given integers a,b,c ( at least one of a and b != 0), the diophantine equation
# a*x + b*y = c has a solution (where x and y are integers) iff gcd(a,b) divides c.

# import testmod for testing our function
from doctest import testmod


def diophantine(a, b, c):
"""
>>> diophantine(10,6,14)
(-7.0, 14.0)

>>> diophantine(391,299,-69)
(9.0, -12.0)

But above equation has one more solution i.e., x = -4, y = 5.
That's why we need diophantine all solution function.

"""

assert c % gcd(a, b) == 0 # gcd(a,b) function implemented below

(d, x, y) = extended_gcd(a, b) # extended_gcd(a,b) function implemented below
r = c / d
return (r * x, r * y)


# Lemma : if n|ab and gcd(a,n) = 1, then n|b.

# Finding All solutions of Diophantine Equations:

# Theorem : Let gcd(a,b) = d, a = d*p, b = d*q. If (x0,y0) is a solution of Diophantine Equation a*x + b*y = c.
# a*x0 + b*y0 = c, then all the solutions have the form a(x0 + t*q) + b(y0 - t*p) = c, where t is an arbitrary integer.

# n is the number of solution you want, n = 2 by default

def diophantine_all_soln(a, b, c, n=2):
"""
>>> diophantine_all_soln(10, 6, 14)
-7.0 14.0
-4.0 9.0

>>> diophantine_all_soln(10, 6, 14, 4)
-7.0 14.0
-4.0 9.0
-1.0 4.0
2.0 -1.0

>>> diophantine_all_soln(391, 299, -69, n = 4)
9.0 -12.0
22.0 -29.0
35.0 -46.0
48.0 -63.0

"""
(x0, y0) = diophantine(a, b, c)
d = gcd(a, b)
p = a // d
q = b // d

for i in range(n):
x = x0 + i * q
y = y0 - i * p
print(x, y)


# Euclid's Lemma : d divides a and b, if and only if d divides a-b and b

# Euclid's Algorithm

def gcd(a, b):
if a < b:
a, b = b, a

while a % b != 0:
a, b = b, a % b

return b


# Extended Euclid's Algorithm : If d divides a and b and d = a*x + b*y for integers x and y, then d = gcd(a,b)


def extended_gcd(a, b):
assert a >= 0 and b >= 0

if b == 0:
d, x, y = a, 1, 0
else:
(d, p, q) = extended_gcd(b, a % b)
x = q
y = p - q * (a // b)

assert a % d == 0 and b % d == 0
assert d == a * x + b * y

return (d, x, y)


if __name__ == '__main__':
testmod(name='diophantine', verbose=True)
testmod(name='diophantine_all_soln', verbose=True)