Problem 570: Snowflakes
View on Project EulerProject Euler Problem 570 Solution
EulerSolve provides an optimized solution for Project Euler Problem 570, Snowflakes, with C++, Python, Java, and a step-by-step mathematical explanation.
Problem Summary The snowflake construction leads to two integer sequences \(A(n)\) and \(B(n)\). For each \(n\ge 3\) we define $$G(n)=\gcd(A(n),B(n)),$$ and the goal is to evaluate $$\sum_{n=3}^{10^7} G(n).$$ The closed forms are easy to write down, but the raw values grow exponentially, so directly building the integers and then taking gcds would be far too expensive. The key is to reduce every gcd to one involving only numbers of size about \(7n\). Mathematical Approach The implementation starts from explicit formulas for the two snowflake counts and then transforms the gcd into a much smaller modular problem. Step 1: Closed Forms from the Snowflake Construction The formulas used by the implementation are $$A(n)=3\cdot 4^{n-1}-2\cdot 3^{n-1},$$ $$B(n)=\frac{(9n-69)\cdot 4^{n-1}+2(4n+26)\cdot 3^{n-1}}{2}.$$ These are exact integer expressions for the two quantities whose gcd is needed. The problem is not the formulas themselves, but the fact that \(4^{n-1}\) and \(3^{n-1}\) are enormous when \(n\) approaches \(10^7\). Step 2: Factor Out the Common Multiple \(6\) Write $$U=4^{n-2},\qquad V=3^{n-2}.$$ Then both closed forms simplify cleanly: $$A(n)=6(2U-V),$$ $$B(n)=6\big((3n-23)U+(2n+13)V\big).$$ If we define $$S=2U-V,\qquad T=(3n-23)U+(2n+13)V,$$ then $$G(n)=\gcd(A(n),B(n))=6\gcd(S,T).$$ This already removes one fixed factor from every term in the sum....
Detailed mathematical approach
Problem Summary
The snowflake construction leads to two integer sequences \(A(n)\) and \(B(n)\). For each \(n\ge 3\) we define
$$G(n)=\gcd(A(n),B(n)),$$
and the goal is to evaluate
$$\sum_{n=3}^{10^7} G(n).$$
The closed forms are easy to write down, but the raw values grow exponentially, so directly building the integers and then taking gcds would be far too expensive. The key is to reduce every gcd to one involving only numbers of size about \(7n\).
Mathematical Approach
The implementation starts from explicit formulas for the two snowflake counts and then transforms the gcd into a much smaller modular problem.
Step 1: Closed Forms from the Snowflake Construction
The formulas used by the implementation are
$$A(n)=3\cdot 4^{n-1}-2\cdot 3^{n-1},$$
$$B(n)=\frac{(9n-69)\cdot 4^{n-1}+2(4n+26)\cdot 3^{n-1}}{2}.$$
These are exact integer expressions for the two quantities whose gcd is needed. The problem is not the formulas themselves, but the fact that \(4^{n-1}\) and \(3^{n-1}\) are enormous when \(n\) approaches \(10^7\).
Step 2: Factor Out the Common Multiple \(6\)
Write
$$U=4^{n-2},\qquad V=3^{n-2}.$$
Then both closed forms simplify cleanly:
$$A(n)=6(2U-V),$$
$$B(n)=6\big((3n-23)U+(2n+13)V\big).$$
If we define
$$S=2U-V,\qquad T=(3n-23)U+(2n+13)V,$$
then
$$G(n)=\gcd(A(n),B(n))=6\gcd(S,T).$$
This already removes one fixed factor from every term in the sum.
Step 3: Use a Determinant Identity to Force a Small Divisor
The pair \((S,T)\) is a linear transformation of \((U,V)\). Two useful combinations are
$$ (2n+13)S+T=(7n+3)U, $$
$$ 2T-(3n-23)S=(7n+3)V. $$
Therefore any common divisor \(d\) of \(S\) and \(T\) must divide both \((7n+3)U\) and \((7n+3)V\).
But \(U=4^{n-2}\) and \(V=3^{n-2}\) are powers of coprime bases, so
$$\gcd(U,V)=1.$$
Hence every common divisor of \(S\) and \(T\) must divide
$$7n+3.$$
Equivalently, the determinant of the coefficient matrix
$$\begin{pmatrix}2 & -1 \\ 3n-23 & 2n+13\end{pmatrix}$$
is exactly
$$2(2n+13)-(-1)(3n-23)=7n+3,$$
and that determinant controls the gcd.
Step 4: Prove the Reduction Is Exact
We now show that no information is lost when replacing \(T\) by \(7n+3\). Suppose \(d\) divides both \(S\) and \(7n+3\). Since \(S=2U-V\), we have
$$V\equiv 2U \pmod d.$$
Substituting this into \(T\) gives
$$T\equiv (3n-23)U+(2n+13)(2U)=(7n+3)U\equiv 0 \pmod d.$$
So every common divisor of \(S\) and \(7n+3\) is also a divisor of \(T\). Combining this with Step 3 yields
$$\gcd(S,T)=\gcd(S,7n+3).$$
Therefore the exact formula becomes
$$\boxed{G(n)=6\gcd\left(7n+3,\ 2\cdot 4^{n-2}-3^{n-2}\right).}$$
Step 5: Replace Huge Powers by Modular Powers
Let
$$M=7n+3.$$
The gcd only depends on the second argument modulo \(M\), so we only need the residue
$$R\equiv 2\cdot 4^{n-2}-3^{n-2}\pmod M,\qquad 0\le R<M.$$
Then
$$G(n)=6\gcd(M,R).$$
This is the crucial speedup: instead of manipulating exponentially large integers, we compute two modular powers and one gcd for each \(n\).
Step 6: Final Summation Formula
The entire problem is therefore reduced to
$$\sum_{n=3}^{10^7} 6\gcd(M,R),\qquad M=7n+3,\qquad R\equiv 2\cdot 4^{n-2}-3^{n-2}\pmod M.$$
That expression is exactly what the implementations evaluate.
Worked Example: \(n=11\)
For \(n=11\), the reduced modulus is
$$M=7\cdot 11+3=80.$$
Now compute the two powers only modulo \(80\):
$$4^9\equiv 64 \pmod{80},\qquad 3^9\equiv 3 \pmod{80}.$$
So
$$R\equiv 2\cdot 64-3=125\equiv 45 \pmod{80}.$$
Hence
$$G(11)=6\gcd(80,45)=6\cdot 5=30.$$
This agrees with the exact values
$$A(11)=3027630,\qquad B(11)=19862070,$$
whose gcd is indeed \(30\).
How the Code Works
The C++, Python, and Java implementations all follow the same loop from \(n=3\) to \(10^7\). For each \(n\), they first form the modulus \(7n+3\). They then use binary exponentiation to evaluate \(4^{n-2}\bmod (7n+3)\) and \(3^{n-2}\bmod (7n+3)\) efficiently, combine those residues into the reduced value \(R\), compute \(\gcd(7n+3,R)\), multiply by \(6\), and add the result to the running total.
The C++ implementation adds a practical optimization: it splits the interval into disjoint blocks and lets several threads process different ranges in parallel, then combines the partial sums at the end. The Python and Java implementations keep the same mathematics but use a direct single-loop version of the algorithm.
Complexity Analysis
For one value of \(n\), the dominant work is modular exponentiation with exponent \(n-2\), which costs \(O(\log n)\) time by repeated squaring. Summing over all \(n\le N\) gives total time
$$O\!\left(\sum_{n=3}^{N}\log n\right)=O(N\log N).$$
The memory usage is \(O(1)\) for the serial versions. The threaded C++ version uses \(O(T)\) extra memory for \(T\) partial sums and worker state, which is still constant with respect to \(N\).
Footnotes and References
- Problem page: Project Euler 570
- Greatest common divisor: Wikipedia - Greatest common divisor
- Euclidean algorithm: Wikipedia - Euclidean algorithm
- Modular exponentiation: Wikipedia - Modular exponentiation
- Exponentiation by squaring: Wikipedia - Exponentiation by squaring
Problem 570 source code
C++
#include <algorithm>
#include <cstdint>
#include <iostream>
#include <numeric>
#include <thread>
#include <utility>
#include <vector>
// Project Euler 570: Snowflakes
//
// With the correct interpretation of the construction, the counts satisfy:
// A(n) = 3*4^(n-1) - 2*3^(n-1)
// B(n) = ((9n-69)*4^(n-1) + 2*(4n+26)*3^(n-1)) / 2
//
// For the gcd, we avoid huge integers. Let
// x = 4^(n-1), y = 3^(n-1).
// Then
// A = 3x - 2y
// 2B = (9n-69)x + (8n+52)y
// Any common divisor of A and 2B divides the determinant
// det = 3*(8n+52) - (-2)*(9n-69) = 42n+18 = 6*(7n+3).
// Empirically and by the derived closed forms, gcd(A,B)=gcd(A,2B)=gcd(A,42n+18).
//
// Also for n>=2:
// A(n) = 6*(2^(2n-3) - 3^(n-2)) = 6*(2*4^(n-2) - 3^(n-2)).
// Hence
// G(n) = gcd(A(n), B(n)) = gcd(A(n), 42n+18)
// = 6 * gcd(7n+3, 2*4^(n-2) - 3^(n-2)).
//
// We compute the latter gcd using modular exponentiation modulo m = 7n+3 (<= 7e7+3),
// which is fast enough for n up to 1e7, and sum G(n).
using u32 = uint32_t;
using u64 = uint64_t;
static inline std::pair<u32, u32> pow4_pow3_mod(u32 exp, u32 mod) {
// Returns (4^exp mod mod, 3^exp mod mod) using one exponent bit-scan.
u64 r4 = 1 % mod, r3 = 1 % mod;
u64 b4 = 4 % mod, b3 = 3 % mod;
u32 e = exp;
while (e) {
if (e & 1U) {
r4 = (r4 * b4) % mod;
r3 = (r3 * b3) % mod;
}
b4 = (b4 * b4) % mod;
b3 = (b3 * b3) % mod;
e >>= 1U;
}
return {static_cast<u32>(r4), static_cast<u32>(r3)};
}
static inline u64 G(u32 n) {
// n >= 3
const u32 exp = n - 2;
const u32 m = 7U * n + 3U;
const auto [p4, p3] = pow4_pow3_mod(exp, m);
// v = (2*4^exp - 3^exp) mod m, in [0, m).
u64 v = (2ULL * p4) % m;
v = (v + m - p3) % m;
const u32 g = std::gcd(m, static_cast<u32>(v));
return 6ULL * g;
}
static u64 pow_u64(u64 a, int e) {
u64 r = 1;
while (e--) r *= a;
return r;
}
static u64 A_u64(int n) {
// Safe for validation ranges in this file (n <= 11).
return 3ULL * pow_u64(4ULL, n - 1) - 2ULL * pow_u64(3ULL, n - 1);
}
static u64 B_u64(int n) {
// B(n) = ((9n-69)*4^(n-1) + 2*(4n+26)*3^(n-1))/2
__int128 x = pow_u64(4ULL, n - 1);
__int128 y = pow_u64(3ULL, n - 1);
__int128 num = (__int128(9) * n - 69) * x + __int128(2) * (__int128(4) * n + 26) * y;
return static_cast<u64>(num / 2);
}
int main() {
// Validation points from the statement.
{
const u64 a3 = A_u64(3), b3 = B_u64(3);
if (a3 != 30 || b3 != 6 || std::gcd(a3, b3) != 6 || G(3) != 6) {
std::cerr << "Validation failed at n=3\n";
return 1;
}
const u64 a11 = A_u64(11), b11 = B_u64(11);
if (a11 != 3027630ULL || b11 != 19862070ULL || std::gcd(a11, b11) != 30 || G(11) != 30) {
std::cerr << "Validation failed at n=11\n";
return 1;
}
if (G(500) != 186ULL) {
std::cerr << "Validation failed at n=500\n";
return 1;
}
u64 s = 0;
for (u32 n = 3; n <= 500; ++n) s += G(n);
if (s != 5124ULL) {
std::cerr << "Validation failed for sum_{3..500}\n";
return 1;
}
}
static constexpr u32 N = 10'000'000;
const u32 hw = std::thread::hardware_concurrency();
const u32 threads = std::max<u32>(1U, std::min<u32>(8U, hw ? hw : 4U));
std::vector<std::thread> pool;
std::vector<u64> partial(threads, 0);
const u32 total = N - 3 + 1;
const u32 block = (total + threads - 1) / threads;
for (u32 t = 0; t < threads; ++t) {
const u32 n_lo = 3U + t * block;
const u32 n_hi = std::min<u32>(N, n_lo + block - 1);
pool.emplace_back([&, t, n_lo, n_hi] {
u64 acc = 0;
for (u32 n = n_lo; n <= n_hi; ++n) acc += G(n);
partial[t] = acc;
});
}
for (auto& th : pool) th.join();
u64 ans = 0;
for (u64 x : partial) ans += x;
std::cout << ans << "\n";
return 0;
}
Python
import math
def solve():
N = 10000000
def pow_mod(b4, b3, exp, mod):
r4, r3 = 1 % mod, 1 % mod
e = exp
while e:
if e & 1: r4 = r4 * b4 % mod; r3 = r3 * b3 % mod
b4 = b4 * b4 % mod; b3 = b3 * b3 % mod
e >>= 1
return r4, r3
total = 0
for n in range(3, N + 1):
exp = n - 2; m = 7*n + 3
p4, p3 = pow_mod(4, 3, exp, m)
v = (2 * p4 - p3) % m
g = math.gcd(m, v)
total += 6 * g
return str(total)
if __name__ == '__main__':
print(solve())
Java
public class Euler570 {
static long gcd(long a, long b) {
while (b != 0) {
long t = a % b;
a = b;
b = t;
}
return a;
}
static long[] pow4pow3Mod(long exp, long mod) {
long r4 = 1 % mod, r3 = 1 % mod;
long b4 = 4 % mod, b3 = 3 % mod;
long e = exp;
while (e > 0) {
if ((e & 1) != 0) {
r4 = (r4 * b4) % mod;
r3 = (r3 * b3) % mod;
}
b4 = (b4 * b4) % mod;
b3 = (b3 * b3) % mod;
e >>= 1;
}
return new long[] { r4, r3 };
}
static long G(int n) {
long exp = n - 2;
long m = 7L * n + 3L;
long[] p4p3 = pow4pow3Mod(exp, m);
long v = (2L * p4p3[0]) % m;
v = (v + m - p4p3[1]) % m;
long g = gcd(m, v);
return 6L * g;
}
public static String solve() {
int N = 10000000;
long total = 0;
for (int n = 3; n <= N; n++) {
total += G(n);
}
return String.valueOf(total);
}
public static void main(String[] args) {
System.out.println(solve());
}
}