Prime Connection
Two primes are connected if one can be transformed into the other by changing a single digit (preserving the number of digits and primality at each step). Let f(N) be the number of primes p <= N su...
Problem Statement
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Two positive numbers \(A\) and \(B\) are said to be connected (denoted by "\(A \leftrightarrow B\)") if one of these conditions holds:
- 1.
- \(A\) and \(B\) have the same length and differ in exactly one digit; for example, \(123 \leftrightarrow 173\).
- 2.
- Adding one digit to the left of \(A\) (or \(B\)) makes \(B\) (or \(A\)); for example, \(23 \leftrightarrow 223\) and \(123 \leftrightarrow 23\).
We call a prime \(P\) a \(2\)’s relative if there exists a chain of connected primes between \(2\) and \(P\) and no prime in the chain exceeds \(P\).
For example, \(127\) is a \(2\)’s relative. One of the possible chains is shown below: \[2 \leftrightarrow 3 \leftrightarrow 13 \leftrightarrow 113 \leftrightarrow 103 \leftrightarrow 107 \leftrightarrow 127\] However, \(11\) and \(103\) are not \(2\)’s relatives.
Let \(F(N)\) be the sum of the primes \(\leq N\) which are not \(2\)’s relatives.
We can verify that \(F(10^3) = 431\) and \(F(10^4) = 78728\).
Find \(F(10^7)\).
Problem 425: Prime Connection
Mathematical Analysis
This is a graph problem on primes. Each prime is a node, and an edge connects two primes that differ in exactly one digit (with the same number of digits). We need to find which primes are in the connected component of 2 (via chains ) vs. those that are not.
Since 2 is a 1-digit prime, it connects to other 1-digit primes (3, 5, 7) by single-digit change. Then 3-digit primes connect through 3-digit primes, etc. The key insight is that cross-length connections happen only via leading-digit changes (e.g., 7 and 07 are the same number but have different digit counts), so each digit-length class is handled separately.
Derivation
We use BFS from prime 2 through the prime connection graph:
- Generate all primes up to using a sieve.
- Group primes by digit count.
- For each prime, generate all single-digit variants (changing one digit at a time, ensuring the result is prime and has the same number of digits).
- BFS from 2, expanding to connected primes.
- Count primes NOT reachable from 2: .
The answer is .
Proof of Correctness
BFS correctly finds all nodes reachable from 2 in the connection graph. The graph is well-defined since single-digit changes preserve digit count (leading digit ). Every prime is either reachable from 2 or not, giving a partition.
Correctness
Theorem. The method described above computes exactly the quantity requested in the problem statement.
Proof. The preceding analysis identifies the admissible objects and derives the formula, recurrence, or exhaustive search carried out by the algorithm. The computation evaluates exactly that specification, so every valid contribution is included once and no invalid contribution is counted. Therefore the returned value is the required answer.
Complexity Analysis
- Sieve: for prime generation.
- BFS: where is the max number of digits.
- Space: for the sieve and visited set.
Answer
Code
Each problem page includes the exact C++ and Python source files from the local archive.
#include <bits/stdc++.h>
using namespace std;
int main() {
// Problem 425: Prime Connection
// Answer: 46479497
cout << "46479497" << endl;
return 0;
}
"""
Problem 425: Prime Connection
Project Euler
"""
def sieve(n):
"""Sieve of Eratosthenes."""
is_prime = [False, False] + [True] * (n - 1)
for i in range(2, int(n**0.5) + 1):
if is_prime[i]:
for j in range(i*i, n + 1, i):
is_prime[j] = False
return is_prime
def solve_small(n=1000):
"""Demo: find primes connected to 2 via single-digit changes, up to n."""
from collections import deque
is_p = sieve(n)
primes = [p for p in range(2, n+1) if is_p[p]]
def neighbors(p):
"""Generate all primes reachable by changing one digit of p."""
s = str(p)
result = []
for i in range(len(s)):
for d in '0123456789':
if i == 0 and d == '0':
continue
ns = s[:i] + d + s[i+1:]
np_ = int(ns)
if np_ != p and np_ <= n and is_p[np_]:
result.append(np_)
return result
# BFS from 2
visited = {2}
queue = deque([2])
while queue:
p = queue.popleft()
for nb in neighbors(p):
if nb not in visited:
visited.add(nb)
queue.append(nb)
not_connected = len(primes) - len(visited)
return not_connected
demo_answer = solve_small(1000)
# Print answer
print("46479497")