meaning of the title

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Sol

Inversion routine? But the last step is pretty good.

Routine enumeration (d \), simplification can get

\[\sum_{T = 1}^m (\frac{M}{T})^n \sum_{d \ | T} d \mu(\frac{T}{d})\]

The following is obviously in the form of Dirichlet convolution, but here \ (n \leqslant 10^{11} \) obviously can't be directly linear screened

Set \ (F(n) = n, f(n) = \phi(n) \)

According to the properties of Euler function, there are (f (n) = \ sum {D \ | n} f (d) \)

Inversion

\[f(n) = \sum_{d \ | n} \mu(d) F(\frac{n}{d})\]

\[\phi(n) = \sum_{d \ |n} d \mu(\frac{n}{d})\]

So the original formula is equal to

\[\sum_{T = 1}^m (\frac{M}{T})^n \phi(T)\]

Then Du Jiao sifts + number theory blocks a wave

Note that the range of linear screen should be larger

#include<bits/stdc++.h>
#define ull unsigned long long
#define LL long long  
using namespace std;
const int MAXN = 1e7 + 10;
LL N, M, Lim;
int vis[MAXN], prime[MAXN], tot;
ull mp[MAXN], phi[MAXN];
void get(int N) {
    vis[1] = phi[1] = 1;
    for(int i = 2; i <= N; i++) {
        if(!vis[i]) prime[++tot] = i, phi[i] = i - 1;
        for(int j = 1; j <= tot && i * prime[j] <= N; j++) {
            vis[i * prime[j]] = 1;
            if(!(i % prime[j])) {phi[i * prime[j]] = phi[i] * prime[j]; break;}
            else phi[i * prime[j]] = phi[i] * phi[prime[j]];
        }
    }
    for(int i = 2; i <= N; i++) phi[i] += phi[i - 1];
}
ull mul(ull x, ull y) {
    return  x * y;
}
ull fp(ull a, ull p) {
    ull base = 1;
    while(p) {
        if(p & 1) base = mul(base, a);
        a = mul(a, a); p >>= 1;
    }
    return base;
}
ull S(LL x) {
    if(x <= Lim) return phi[x];
    else if(mp[M / x]) return mp[M / x];
    ull rt;
    rt = (x & 1) ? (x + 1) / 2 * (x) : (x / 2) * (x + 1);
    //rt = (x + 1) * x / 2;
    for(LL d = 2, nxt; d <= x; d = nxt + 1) {
        nxt = x / (x / d);
        rt -= (nxt - d + 1) * S(x / d);
    }
    return mp[M / x] = rt;
}
signed main() {
    cin >> N >> M;
    get(Lim = ((int)1e7)); 
    //for(int i = 1; i <= M; i++) printf("%d ", phi[i]);
    ull ans = 0;
    for(LL i = 1, nxt; i <= M; i = nxt + 1) {
        nxt = M / (M / i);
        ans += fp(M / i, N) * (S(nxt) - S(i - 1));
      //  cout << i << '\n';
    }
    cout << ans;
    return 0;
}