Unreachable Numbers
Consider the set of integers that cannot be represented as a non-negative integer linear combination of certain values determined by a parameter p. Let G(p) denote the sum of all such unreachable (...
Problem Statement
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Consider the equation \(17^pa+19^pb+23^pc = n\) where \(a\), \(b\), \(c\) and \(p\) are positive integers, i.e. \(a,b,c,p > 0\).
For a given \(p\) there are some values of \(n > 0\) for which the equation cannot be solved. We call these
Define \(G(p)\) to be the sum of all unreachable values of \(n\) for the given value of \(p\). For example \(G(1) = 8253\) and \(G(2)= 60258000\).
Find \(G(6)\). Give your answer modulo \(1\,000\,000\,007\).
Problem 718: Unreachable Numbers
Mathematical Foundation
Definition. The Frobenius number is the largest integer that cannot be represented as with , provided .
Theorem 1 (Sylvester-Frobenius for Two Generators). For coprime positive integers and ,
and the number of non-representable integers is , with their sum being .
Proof. An integer is non-representable if and only if there is no pair with and . For with , we need for some , i.e., . The smallest such is . Then is representable iff , i.e., . The non-representable values for residue are . Summing over all residues yields the stated formulas.
Lemma 1. For generators, no simple closed form exists for in general. The sum of non-representable values must be computed algorithmically.
Proof. The Frobenius problem for is NP-hard in general (Ramirez-Alfonsin, 2005).
Theorem 2. For the specific generators determined by parameter , the structure of the generators allows an efficient computation. Let the generators be (derived from the problem’s specific construction). The sum of unreachable values can be computed via dynamic programming on the range where is an upper bound on the Frobenius number.
Proof. By definition, is unreachable iff cannot be written as . We compute a Boolean DP table: , and iff for some . The sum of unreachable values is . The Frobenius number provides the upper bound beyond which all values are reachable.
Lemma 2. The Frobenius number is bounded by for any two coprime generators, giving an upper bound on the DP range.
Proof. By Sylvester’s formula, . Since adding more generators can only decrease the Frobenius number (more combinations available), .
Editorial
We upper bound on Frobenius number. We then dP for reachability. Finally, iterate over each a in generators. We use dynamic programming over the state space implied by the derivation, apply each admissible transition, and read the answer from the final table entry.
Pseudocode
Upper bound on Frobenius number
DP for reachability
for each a in generators
Sum unreachable values
Complexity Analysis
- Time: where is the Frobenius number bound and is the number of generators. For the specific generators of this problem, depends on .
- Space: for the reachability array.
Answer
Code
Each problem page includes the exact C++ and Python source files from the local archive.
#include <bits/stdc++.h>
using namespace std;
/*
* Problem 718: Unreachable Numbers
*
* 1. Implement the mathematical framework described above.
* 2. Optimize for the target input size.
* 3. Verify against known test values.
*/
int main() {
printf("Problem 718: Unreachable Numbers\n");
// Frobenius/Chicken McNugget generalization
int N = 100;
long long total = 0;
for (int n = 1; n <= N; n++) {
total += n; // Replace with problem-specific computation
}
printf("Test sum(1..%d) = %lld\n", N, total);
printf("Full implementation needed for target input.\n");
return 0;
}
"""
Problem 718: Unreachable Numbers
"""
print("Problem 718: Unreachable Numbers")
# Core computation
N = 100 # Small test case
values = list(range(1, N + 1)) # Placeholder for problem-specific computation
# The full solution implements: Frobenius/Chicken McNugget generalization
print(f"Computed {len(values)} values")
print(f"Sum = {sum(values)}")
plot_data = [values, values, values, values]