#include #include #include #include #include "pcg-cpp/include/pcg_random.hpp" #include "randutils/randutils.hpp" template using Vector = Eigen::Matrix; template using Matrix = Eigen::Matrix; using Rng = randutils::random_generator; template Vector randomVector(unsigned L, Rng& r) { Vector x; for (unsigned i = 0; i < D; i++) { x[i] = r.uniform((unsigned)0, L - 1); } return x; } int iPow(int x, unsigned p) { if (p == 0) return 1; if (p == 1) return x; int tmp = iPow(x, p / 2); if (p % 2 == 0) { return tmp * tmp; } else { return x * tmp * tmp; } } unsigned mod(signed a, unsigned b) { return ((a < 0) ? (a + (1 - a / (signed)b) * b) : a) % b; } template Vector mod(const Eigen::MatrixBase& v, unsigned b) { Vector u; for (unsigned i = 0; i < D; i++) { u(i) = mod(v(i), b); } return u; } template void one_sequences(std::list>& sequences, unsigned level) { if (level > 0) { unsigned new_level = level - 1; unsigned old_length = sequences.size(); for (std::array& sequence : sequences) { std::array new_sequence = sequence; new_sequence[new_level] = -1; sequences.push_front(new_sequence); } one_sequences(sequences, new_level); } } template std::vector> generateTorusMatrices() { std::vector> mats; std::array ini_sequence; ini_sequence.fill(1); std::list> sequences; sequences.push_back(ini_sequence); one_sequences(sequences, D); sequences.pop_back(); // don't want the identity matrix! for (std::array sequence : sequences) { Matrix m; for (unsigned i = 0; i < D; i++) { for (unsigned j = 0; j < D; j++) { if (i == j) { m(i, j) = sequence[i]; } else { m(i, j) = 0; } } } mats.push_back(m); } for (unsigned i = 0; i < D; i++) { for (unsigned j = 0; j < D; j++) { if (i != j) { Matrix m; for (unsigned k = 0; k < D; k++) { for (unsigned l = 0; l < D; l++) { if ((k == i && l == j) || (k == j && l == i)) { if (i < j) { m(k, l) = 1; } else { m(k, l) = -1; } } else if (k == l && (k != i && k != j)) { m(k, l) = 1; } else { m(k, l) = 0; } } } mats.push_back(m); } } } return mats; } template class Transformation { public: unsigned L; Matrix m; Vector v; Transformation(unsigned L) : L(L) { m.setIdentity(); v.setZero(); } Transformation(unsigned L, const Matrix& m, const Vector& v) : L(L), m(m), v(v) {} Transformation(unsigned L, const std::vector>& ms, Rng& r) : m(r.pick(ms)), L(L) { for (unsigned i = 0; i < D; i++) { v[i] = r.uniform((unsigned)0, L - 1); } v = v - m * v; } Vector apply(const Vector& x) const { return mod(v + m * x, L); } Transformation apply(const Transformation& t) const { Transformation tNew(L); tNew.m = m * t.m; tNew.v = apply(t.v); return tNew; } Transformation inverse() const { return Transformation(L, m.transpose(), -m.transpose() * v); } }; template concept State = requires(T v, const T& v2) { { v.empty() } -> std::same_as; {v.remove()}; { v.operator==(v2) } -> std::same_as; }; template class HalfEdge; template class Vertex { public: Vector position; Vector initialPosition; S state; std::vector> adjacentEdges; bool marked; bool empty() const { return state.empty(); } }; template class HalfEdge { public: Vertex& neighbor; Vector Δx; HalfEdge(Vertex& n, const Vector& d) : neighbor(n), Δx(d) {} }; template class System { public: const unsigned L; unsigned N; std::vector> vertices; unsigned vectorToIndex(const Vector& x) const { unsigned i = 0; for (unsigned d = 0; d < D; d++) { i += x[d] * iPow(L, d); } return i; } Vector indexToVector(unsigned i) const { Vector x; for (unsigned d = 0; d < D; d++) { x[d] = (i / iPow(L, d)) % L; } return x; } System(unsigned L, unsigned N) : L(L), N(N), vertices(iPow(L, D)) { for (unsigned i = 0; i < iPow(L, D); i++) { vertices[i].position = indexToVector(i); vertices[i].initialPosition = vertices[i].position; vertices[i].adjacentEdges.reserve(2 * D); vertices[i].marked = false; } for (unsigned d = 0; d < D; d++) { Vector Δx = Vector::Zero(); Δx[d] = 1; for (signed i = 0; i < iPow(L, D); i++) { unsigned j = iPow(L, d + 1) * (i / iPow(L, d + 1)) + mod(i + iPow(L, d), pow(L, d + 1)); vertices[i].adjacentEdges.push_back(HalfEdge(vertices[j], Δx)); vertices[j].adjacentEdges.push_back(HalfEdge(vertices[i], -Δx)); } } } double density() const { return N / pow(L, D); } void setInitialPosition() { for (Vertex& v : vertices) { v.initialPosition = v.position; } } double selfIntermediateScattering() const { double F = 0; Vector k1 = {M_PI, 0}; Vector k2 = {0, M_PI}; for (const Vertex& v : vertices) { if (!v.empty()) { F += cos(k1.dot(v.position - v.initialPosition)); F += cos(k2.dot(v.position - v.initialPosition)); } } return F / (2 * this->N); } }; template class FiniteEnergySystem : public System { public: using System::System; virtual double pairEnergy(const S&, const S&) const { return 0; } double siteEnergy(const Vertex& v) const { double E = 0; for (const HalfEdge& e : v.adjacentEdges) { E += pairEnergy(v.state, e.neighbor.state); } return E; } double energy() const { double E = 0; for (const Vertex& v : this->vertices) { E += siteEnergy(v); } return E / 2; } bool trySwap(Vertex& v1, Vertex& v2, double T, Rng& r) { double E0 = siteEnergy(v1) + siteEnergy(v2); std::swap(v1.state, v2.state); double E1 = siteEnergy(v1) + siteEnergy(v2); double ΔE = E1 - E0; if (exp(-ΔE / T) > r.uniform(0.0, 1.0)) { /* Accept the swap. */ std::swap(v1.initialPosition, v2.initialPosition); return true; } else { /* Revert the swap. */ std::swap(v1.state, v2.state); return false; } } bool tryRandomMove(double T, Rng& r) { Vertex& v1 = r.pick(this->vertices); if (v1.empty()) { return false; } Vertex& v2 = (r.pick(v1.adjacentEdges)).neighbor; if (!v2.empty()) { return false; } return trySwap(v1, v2, T, r); } bool tryRandomSwap(double T, Rng& r) { Vertex& v1 = r.pick(this->vertices); Vertex& v2 = r.pick(this->vertices); if (v1.state != v2.state) { return trySwap(v1, v2, T, r); } else { return false; } } void sweepLocal(Rng& r) { for (unsigned i = 0; i < iPow(this->L, D); i++) { tryRandomMove(r); } } void sweepSwap(Rng& r) { for (unsigned i = 0; i < iPow(this->L, D); i++) { tryRandomSwap(r); } } unsigned flipCluster(const Transformation& R, Vertex& v0, double T, Rng& r, bool dry = false) { std::queue>, 2>> q; Vector x0New = R.apply(v0.position); Vertex& v0New = this->vertices[this->vectorToIndex(x0New)]; q.push({v0, v0New}); unsigned n = 0; while (!q.empty()) { auto [vR, vNewR] = q.front(); q.pop(); Vertex& v = vR; Vertex& vNew = vNewR; if (!v.marked && !vNew.marked) { v.marked = true; vNew.marked = true; for (HalfEdge& e : v.adjacentEdges) { Vertex& vn = e.neighbor; Vector xnNew = R.apply(vn.position); Vertex& vnNew = this->vertices[this->vectorToIndex(xnNew)]; if (!vn.marked && !vnNew.marked) { double E0 = pairEnergy(v.state, vn.state) + pairEnergy(vNew.state, vnNew.state); double E1 = pairEnergy(vNew.state, vn.state) + pairEnergy(v.state, vnNew.state); double ΔE = E1 - E0; if (exp(-ΔE / T) < r.uniform(0.0, 1.0)) { q.push({vn, vnNew}); } } } if (!dry) { std::swap(v.state, vNew.state); std::swap(v.initialPosition, vNew.initialPosition); } n += 1; } } return n; } unsigned wolff(const Transformation& R, double T, Rng& r) { unsigned n = flipCluster(R, r.pick(this->vertices), T, r); for (Vertex& v : this->vertices) { v.marked = false; } return n; } void swendsenWang(const Transformation& R, double T, Rng& r) { for (Vertex& v : this->vertices) { if (!v.marked) { bool dry = 0.5 < r.uniform(0.0, 1.0); flipCluster(R, v, T, r, dry); } } for (Vertex& v : this->vertices) { v.marked = false; } } };