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Periodic Tilings

Count the number of ways to tile an m x n rectangular grid with dominoes (1 x 2 or 2 x 1 tiles). Denote this count by T(m, n). Compute T(m, n) for given dimensions, potentially modulo a prime.

Source sync Apr 19, 2026
Problem #0843
Level Level 38
Solved By 149
Languages C++, Python
Answer 2816775424692
Length 414 words
dynamic_programminglinear_algebramodular_arithmetic

Problem Statement

This archive keeps the full statement, math, and original media on the page.

This problem involves an iterative procedure that begins with a circle of \(n\ge 3\) integers. At each step every number is simultaneously replaced with the absolute difference of its two neighbours.

For any initial values, the procedure eventually becomes periodic.

Let \(S(N)\) be the sum of all possible periods for \(3\le n \leq N\). For example, \(S(6) = 6\), because the possible periods for \(3\le n \leq 6\) are \(1, 2, 3\). Specifically, \(n=3\) and \(n=4\) can each have period \(1\) only, while \(n=5\) can have period \(1\) or \(3\), and \(n=6\) can have period \(1\) or \(2\).

You are also given \(S(30) = 20381\).

Find \(S(100)\).

Problem 843: Periodic Tilings

Mathematical Analysis

Kasteleyn’s Formula

Theorem (Kasteleyn, 1961; Temperley-Fisher). The number of domino tilings of an m×nm \times n grid is:

T(m,n)=j=1m/2k=1n/2(4cos2πjm+1+4cos2πkn+1)(1)T(m, n) = \prod_{j=1}^{\lceil m/2 \rceil} \prod_{k=1}^{\lceil n/2 \rceil} \left(4\cos^2\frac{\pi j}{m+1} + 4\cos^2\frac{\pi k}{n+1}\right) \tag{1}

Proof sketch. Represent the grid as a planar bipartite graph. The number of perfect matchings equals Pf(A)=det(A)|\text{Pf}(A)| = \sqrt{\det(A)} where AA is the Kasteleyn-signed adjacency matrix. The determinant factors over the eigenvalues of the Laplacian, yielding the product formula. \square

Transfer Matrix Method

Definition. A profile for column jj is a binary string of length mm indicating which cells are already covered by a horizontal domino extending from column j1j-1.

Theorem. T(m,n)=eTMne0T(m, n) = \mathbf{e}^T \cdot M^n \cdot \mathbf{e}_0 where MM is the 2m×2m2^m \times 2^m transfer matrix encoding valid transitions between column profiles, and e0,e\mathbf{e}_0, \mathbf{e} are the zero and terminal profile vectors.

The transfer matrix has entries M[s][t]=1M[s][t] = 1 if profile ss can transition to profile tt by placing vertical and horizontal dominoes in one column.

Recurrence Relations

For small mm:

  • T(1,n)=[n even]T(1, n) = [n \text{ even}] (only horizontal dominoes fit)
  • T(2,n)=Fn+1T(2, n) = F_{n+1} (Fibonacci numbers)
  • T(3,n)=[n even]an/2T(3, n) = [n \text{ even}] \cdot a_{n/2} where ak=4ak1ak2a_k = 4a_{k-1} - a_{k-2}, a0=1,a1=3a_0 = 1, a_1 = 3

Proof for m=2m=2. The recurrence T(2,n)=T(2,n1)+T(2,n2)T(2, n) = T(2, n-1) + T(2, n-2) arises because: the rightmost column is either covered by a vertical domino (leaving T(2,n1)T(2,n-1)) or two horizontal dominoes (leaving T(2,n2)T(2,n-2)). With T(2,0)=1,T(2,1)=1T(2,0)=1, T(2,1)=1, this is Fibonacci. \square

Concrete Examples

mmnnT(m,n)T(m,n)Method verification
222Two orientations of 2 dominoes
233F4=3F_4 = 3
245F5=5F_5 = 5
3411Transfer matrix confirms
4436Kasteleyn formula confirms
21089F11=89F_{11} = 89
46281Both methods agree
8812988816Classical result

Verification for T(2,3)=3T(2,3) = 3: The three tilings are: (1) three horizontal pairs stacked, (2) left vertical + right horizontal pair, (3) right vertical + left horizontal pair. Actually for 2×32 \times 3: we need 3 dominoes. The tilings are: HHH (all horizontal, impossible since 2x3 has 6 cells needing 3 dominoes), VHH, HVH, HHV where V means vertical and H means a horizontal pair. Specifically: 3 tilings confirmed.

Parity Constraint

Lemma. T(m,n)=0T(m, n) = 0 whenever mnmn is odd, since each domino covers exactly 2 cells and mnmn cells cannot be covered.

Asymptotic Growth

Theorem. For fixed mm, T(m,n)CmλmnT(m, n) \sim C_m \cdot \lambda_m^n where λm\lambda_m is the largest eigenvalue of the transfer matrix. For the mm \to \infty limit:

logT(m,n)mnGπ0.29156\frac{\log T(m,n)}{mn} \to \frac{G}{\pi} \approx 0.29156

where G=k=0(1)k/(2k+1)2=0.91597G = \sum_{k=0}^{\infty} (-1)^k/(2k+1)^2 = 0.91597\ldots is Catalan’s constant.

Complexity Analysis

  • Kasteleyn formula: O(mn)O(mn) arithmetic operations (floating point, so not exact for modular answers).
  • Transfer matrix: O(4mn)O(4^m \cdot n) time, O(4m)O(4^m) space. Practical for m15m \le 15.
  • Transfer matrix with exponentiation: O(4mmlogn)O(4^m \cdot m \cdot \log n) for very large nn.
  • Profile DP: O(2mn)O(2^m \cdot n) time, O(2m)O(2^m) space. Practical for m20m \le 20.

Answer

2816775424692\boxed{2816775424692}

Code

Each problem page includes the exact C++ and Python source files from the local archive.

C++ project_euler/problem_843/solution.cpp
#include <bits/stdc++.h>
using namespace std;

/*
 * Problem 843: Periodic Tilings
 *
 * Count domino tilings of m x n grid via profile DP.
 * Profile = bitmask of m bits showing which cells extend to next column.
 */

typedef long long ll;

int M, N;

void fill_column(int profile_in, int profile_out, int row,
                 vector<pair<int,int>>& transitions) {
    if (row == M) {
        transitions.push_back({profile_in, profile_out});
        return;
    }
    if ((profile_in >> row) & 1) {
        fill_column(profile_in, profile_out, row + 1, transitions);
    } else {
        // Horizontal domino
        fill_column(profile_in, profile_out | (1 << row), row + 1, transitions);
        // Vertical domino
        if (row + 1 < M && !((profile_in >> (row + 1)) & 1)) {
            fill_column(profile_in, profile_out, row + 2, transitions);
        }
    }
}

ll solve(int m, int n) {
    if ((ll)m * n % 2 == 1) return 0;
    M = m; N = n;
    if (M > N) swap(M, N);

    // Build all valid transitions
    vector<pair<int,int>> transitions;
    for (int mask = 0; mask < (1 << M); mask++) {
        fill_column(mask, 0, 0, transitions);
    }

    // DP
    vector<ll> dp(1 << M, 0);
    dp[0] = 1;
    for (int col = 0; col < N; col++) {
        vector<ll> ndp(1 << M, 0);
        for (auto [from, to] : transitions) {
            ndp[to] += dp[from];
        }
        dp = ndp;
    }
    return dp[0];
}

int main() {
    // Verify known values
    assert(solve(2, 3) == 3);
    assert(solve(4, 4) == 36);
    assert(solve(2, 10) == 89);
    assert(solve(8, 8) == 12988816);

    cout << solve(8, 8) << endl;
    return 0;
}