G. Modular Sorting

Codeforces Round 1034 (Div. 3) G

Problem

You are given an integer mm (2m51052 \leq m \leq 5 \cdot 10^5) and an array aa consisting of nonnegative integers strictly less than mm.

You will be asked to process two types of queries:

  1. i x: Assign ai:=xa_i := x (this operation updates the array persistently).
  2. k: In one operation, you may choose any element aia_i and assign ai:=(ai+k)modma_i := (a_i + k) \bmod m. Determine whether there exists a sequence of such operations (possibly zero) that can make the array nondecreasing (i.e., a0a1an1a_0 \leq a_1 \leq \dots \leq a_{n-1}).

Note: Type 2 queries are hypothetical — they do not modify the array. Type 1 queries are persistent and change the array permanently.


Solution

Basic Idea

For a type 2 query with parameter kk, we aim to decide whether there exists a set of nonnegative integers t0,t1,,tn1t_0, t_1, \dots, t_{n-1} such that:

ai=(ai+tik)modm a_i' = (a_i + t_i \cdot k) \bmod m

and the resulting array aa' is nondecreasing.


Modular Arithmetic and Cyclic Subgroups

Let g=gcd(k,m)g = \gcd(k, m). When we repeatedly apply the operation ai:=(ai+k)modma_i := (a_i + k) \bmod m, the values that aia_i can attain lie in the same coset modulo gg:

aiai(modg) a_i' \equiv a_i \pmod{g}

This implies that each element retains its residue modulo gg under any number of operations using kk.

Thus, the minimum different between any two elements aia_i and aja_j is (ajai)modg(a_j - a_i) \bmod g.


Feasibility via Modular Differences

Then, all reachable values of aia_i form a cyclic group of this length. To check if we can rearrange values into a nondecreasing order, we use a key metric that measures how much modular “increase” is needed from left to right.

We define:

S(g)=j=0n1Δj S(g) = \sum_{j=0}^{n-1} \Delta_j

where

  • Δ0=a0modg\Delta_0 = a_0 \bmod g
  • Δj=((ajaj1)modg+g)modg\Delta_j = ((a_j - a_{j-1}) \bmod g + g) \bmod g for j1j \geq 1

This expression captures the “positive modular steps” needed to move from aj1a_{j-1} to aja_j under modulo gg.

Feasibility Condition:

For a query of type 2 with given kk, let g=gcd(k,m)g = \gcd(k, m). Then:

The array can be made nondecreasing if and only if S(g)<mS(g) < m.

If S(g)mS(g) \geq m, the required modular shifts would wrap around mm — violating the nondecreasing constraint.


Efficient Updates for Type 1 Queries

When handling a type 1 query (i x), we need to update the metric S(g)S(g) for all divisors gg of mm, because any future query might use a kk such that gcd(k,m)=g\gcd(k, m) = g.

Changing aia_i to xx affects at most two terms in S(g)S(g):

  • If i>0i > 0, the difference (aiai1)modg(a_i - a_{i-1}) \bmod g
  • If i+1<ni + 1 < n, the difference (ai+1ai)modg(a_{i+1} - a_i) \bmod g

For each such gg, we:

  1. Subtract the old contributions to S(g)S(g)
  2. Update aia_i to xx
  3. Add the new contributions back

To maintain efficiency, we:

  • Precompute all divisors of mm
  • Store S(g)S(g) for each gg
  • Use direct access to update only the affected terms

Summary

  • Each value aia_i can only move within its modular class modulo gcd(k,m)\gcd(k, m).
  • To determine feasibility for type 2 queries, we use the modular step sum S(g)S(g).
  • The condition S(g)<mS(g) < m guarantees that the sequence can be made nondecreasing.
  • Efficient handling of type 1 updates ensures the system stays performant.

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