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partial_sums_of_euler_totient_function_fast.pl
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partial_sums_of_euler_totient_function_fast.pl
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#!/usr/bin/perl
# Daniel "Trizen" Șuteu
# Date: 04 February 2019
# https://github.com/trizen
# A sublinear algorithm for computing the partial sums of the Euler totient function.
# The partial sums of the Euler totient function is defined as:
#
# a(n) = Sum_{k=1..n} phi(k)
#
# where phi(k) is the Euler totient function.
# Recursive formula:
# a(n) = n*(n+1)/2 - Sum_{k=2..sqrt(n)} a(floor(n/k)) - Sum_{k=1..floor(n/sqrt(n))-1} a(k) * (floor(n/k) - floor(n/(k+1)))
# Example:
# a(10^1) = 32
# a(10^2) = 3044
# a(10^3) = 304192
# a(10^4) = 30397486
# a(10^5) = 3039650754
# a(10^6) = 303963552392
# a(10^7) = 30396356427242
# a(10^8) = 3039635516365908
# a(10^9) = 303963551173008414
# OEIS sequences:
# https://oeis.org/A002088 -- Sum of totient function: a(n) = Sum_{k=1..n} phi(k).
# https://oeis.org/A064018 -- Sum of the Euler totients phi for 10^n.
# https://oeis.org/A272718 -- Partial sums of gcd-sum sequence A018804.
# See also:
# https://en.wikipedia.org/wiki/Dirichlet_hyperbola_method
# https://trizenx.blogspot.com/2018/11/partial-sums-of-arithmetical-functions.html
use 5.020;
use strict;
use warnings;
use experimental qw(signatures);
use ntheory qw(euler_phi sqrtint rootint);
sub partial_sums_of_euler_totient($n) {
my $s = sqrtint($n);
my @euler_sum_lookup = (0);
my $lookup_size = 2 * rootint($n, 3)**2;
my @euler_phi = euler_phi(0, $lookup_size);
foreach my $i (1 .. $lookup_size) {
$euler_sum_lookup[$i] = $euler_sum_lookup[$i - 1] + $euler_phi[$i];
}
my %seen;
sub ($n) {
if ($n <= $lookup_size) {
return $euler_sum_lookup[$n];
}
if (exists $seen{$n}) {
return $seen{$n};
}
my $s = sqrtint($n);
my $T = ($n * ($n + 1)) >> 1;
foreach my $k (2 .. int($n / ($s + 1))) {
$T -= __SUB__->(int($n / $k));
}
foreach my $k (1 .. $s) {
$T -= (int($n / $k) - int($n / ($k + 1))) * __SUB__->($k);
}
$seen{$n} = $T;
}->($n);
}
foreach my $n (1 .. 8) { # takes less than 1 second
say "a(10^$n) = ", partial_sums_of_euler_totient(10**$n);
}