Geometric Series Truncation
Let S(r, n) = sum_(k=0)^n r^k for integer r >= 2. Find sum_(r=2)^100 S(r, r) mod (10^9+7).
Problem Statement
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An irrational number $x$ can be uniquely expressed as a continued fraction $[a_0; a_1,a_2,a_3,\dots]$: $$ x=a_{0}+\cfrac{1}{a_1+\cfrac{1}{a_2+\cfrac{1}{a_3+\ddots}}} $$ where $a_0$ is an integer and $a_1,a_2,a_3,\dots$ are positive integers.
Define $k_j(x)$ to be the geometric mean of $a_1,a_2,\dots,a_j$.
That is, $k_j(x)=(a_1a_2 \cdots a_j)^{1/j}$.
Also define $k_\infty(x)=\lim_{j\to \infty} k_j(x)$.
Khinchin proved that almost all irrational numbers $x$ have the same value of $k_\infty(x)\approx2.685452\dots$ known as Khinchin's constant. However, there are some exceptions to this rule.
For $n\geq 0$ define $$\rho_n = \sum_{i=0}^{\infty} \frac{2^n}{2^{2^i}} $$ For example $\rho_2$, with continued fraction beginning $[3; 3, 1, 3, 4, 3, 1, 3,\dots]$, has $k_\infty(\rho_2)\approx2.059767$.
Find the geometric mean of $k_{\infty}(\rho_n)$ for $0\leq n\leq 50$, giving your answer rounded to six digits after the decimal point.
Problem 911: Geometric Series Truncation
Mathematical Foundation
Theorem 1 (Geometric Series). For and non-negative integer ,
Proof. Let . Then
Subtracting the original sum:
Since , we divide both sides by to obtain .
Theorem 2 (Fermat’s Little Theorem). For a prime and integer with ,
and consequently .
Proof. Consider the map defined by . Since , this map is injective on the finite set , hence bijective. Therefore
which gives . Since , we cancel to obtain . Multiplying both sides by yields .
Lemma 1. For and , the modular inverse exists.
Proof. We have , so . Since is prime, , and the inverse exists by Theorem 2.
Theorem 3 (Correctness). The value equals .
Proof. By Theorem 1, over . By Lemma 1, exists modulo , and by Theorem 2, . The natural ring homomorphism preserves addition and multiplication, so
Summing over and reducing modulo gives the result.
Editorial
S(r, n) = sum_{k=0}^{n} r^k = (r^{n+1} - 1) / (r - 1). Find sum_{r=2}^{100} S(r, r) mod 10^9+7. We enumerate the admissible parameter range, discard candidates that violate the derived bounds or arithmetic constraints, and update the final set or total whenever a candidate passes the acceptance test.
Pseudocode
p = 10^9 + 7
total = 0
For r from 2 to 100:
numerator = (pow_mod(r, r+1, p) - 1 + p) mod p
denominator_inv = pow_mod(r - 1, p - 2, p)
total = (total + numerator * denominator_inv) mod p
Return total
result = 1
base = base mod mod
While exp > 0:
if exp is odd:
result = (result * base) mod mod
exp = exp >> 1
base = (base * base) mod mod
Return result
Complexity Analysis
- Time: where . Each of the 99 terms requires two modular exponentiations: in and in . The dominant cost is modular multiplications.
- Space: . Only a constant number of variables are maintained.
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 911: Geometric Series Truncation
*
* S(r, n) = sum_{k=0}^{n} r^k = (r^{n+1} - 1) / (r - 1)
* Find sum_{r=2}^{100} S(r, r) mod 10^9+7.
*
* Two methods:
* 1. Closed-form: S(r,r) = (r^{r+1} - 1) * (r-1)^{-1} mod p
* 2. Direct summation: iterate powers 1, r, r^2, ..., r^r
*
* Modular inverse via Fermat: (r-1)^{p-2} mod p.
*/
const long long MOD = 1e9 + 7;
long long power(long long base, long long exp, long long mod) {
long long result = 1;
base %= mod;
while (exp > 0) {
if (exp & 1) result = result * base % mod;
base = base * base % mod;
exp >>= 1;
}
return result;
}
/* Method 1: Closed-form with Fermat inverse */
long long solve_closed() {
long long total = 0;
for (int r = 2; r <= 100; r++) {
long long num = (power(r, r + 1, MOD) - 1 + MOD) % MOD;
long long inv = power(r - 1, MOD - 2, MOD);
total = (total + num % MOD * inv % MOD) % MOD;
}
return total;
}
/* Method 2: Direct summation */
long long solve_direct() {
long long total = 0;
for (int r = 2; r <= 100; r++) {
long long s = 0, rk = 1;
for (int k = 0; k <= r; k++) {
s = (s + rk) % MOD;
rk = rk * r % MOD;
}
total = (total + s) % MOD;
}
return total;
}
int main() {
long long ans1 = solve_closed();
long long ans2 = solve_direct();
assert(ans1 == ans2);
// Verify small exact values
// S(2,2) = 7, S(3,3) = 40, S(4,4) = 341
assert((power(2, 3, MOD) - 1 + MOD) % MOD * power(1, MOD - 2, MOD) % MOD == 7);
assert((power(3, 4, MOD) - 1 + MOD) % MOD * power(2, MOD - 2, MOD) % MOD == 40);
cout << ans1 << endl;
return 0;
}
"""
Problem 911: Geometric Series Truncation
S(r, n) = sum_{k=0}^{n} r^k = (r^{n+1} - 1) / (r - 1).
Find sum_{r=2}^{100} S(r, r) mod 10^9+7.
Methods:
1. Closed-form with modular inverse (Fermat)
2. Direct polynomial evaluation (verification)
3. Exact computation for small r (cross-check)
"""
from math import log10
MOD = 10**9 + 7
def solve_closed_form(mod: int):
"""Sum S(r, r) for r = 2..100, where S(r,r) = (r^{r+1}-1)/(r-1) mod p."""
total = 0
for r in range(2, 101):
num = (pow(r, r + 1, mod) - 1) % mod
inv = pow(r - 1, mod - 2, mod)
total = (total + num * inv) % mod
return total
def solve_direct(mod: int):
"""Compute each S(r,r) = 1 + r + r^2 + ... + r^r directly."""
total = 0
for r in range(2, 101):
s = 0
rk = 1 # r^k mod p
for k in range(r + 1):
s = (s + rk) % mod
rk = rk * r % mod
total = (total + s) % mod
return total
def s_exact(r: int):
"""Compute S(r, r) = (r^{r+1} - 1) / (r - 1) exactly."""
return (r ** (r + 1) - 1) // (r - 1)
# Solve
ans_closed = solve_closed_form(MOD)
ans_direct = solve_direct(MOD)
assert ans_closed == ans_direct, f"Mismatch: {ans_closed} vs {ans_direct}"
# Verify exact values for small r
assert s_exact(2) == 7 # 1 + 2 + 4
assert s_exact(3) == 40 # 1 + 3 + 9 + 27
assert s_exact(4) == 341 # 1 + 4 + 16 + 64 + 256
assert s_exact(5) == 3906
assert s_exact(10) == 11111111111
# Verify modular consistency
for r in range(2, 20):
exact_mod = s_exact(r) % MOD
num = (pow(r, r + 1, MOD) - 1) % MOD
inv = pow(r - 1, MOD - 2, MOD)
closed_mod = num * inv % MOD
assert exact_mod == closed_mod, f"r={r}: exact={exact_mod}, closed={closed_mod}"
print(ans_closed)