Mathematics
The registered systems of skcomplex.systems.mathematics. The page of each shows its factory, its component
types with their states, parameters, and laws as written, and, for the forms that have them, its equations as
SymbolicAnalysis returns them, so it serves as the pattern for a system of your own.
Dynamical systems
- Baker: The generalized baker map, which stretches the unit square along
xand stacks the two pieces iny. - Bernoulli doubling map: An ensemble of the doubling map
x' = 2x (mod 1), iterated exactly on fractions with an odd denominator. - Cascais-Dilão-Noronha Gaussian map: The Cascais-Dilão-Noronha Gaussian map
x' = exp(-alpha² x²) + βof an interval. - Cat map: Arnold's cat map
(x, y) → (2x + y, x + y) (mod 1), an area-preserving hyperbolic map of the torus. - Circle: The sine circle map
θ' = θ + Ω - K / (2π) sin 2πθ (mod 1), which locks into Arnold tongues. - Conservative Hénon map: Hénon's area-preserving quadratic map, a rotation by
2π nuwith a quadratic kick. - Cubic chaotic map and its chaotic walk: Bertin's cubic chaotic map and the chaotic walk it drives, which spreads like a random walk.
- Cusp normal forms: The cusp normal form
x' = β1 + β2 x - x³, bistable inside the cusp27 β1² < 4 β2³. - Fermi-Ulam map: The Fermi-Ulam map of a ball bouncing between a fixed wall and a wall that oscillates in time.
- Finite-time blow-up: Hyperbolic growth
x' = a x^p, which diverges at the finite timex0^(1 - p) / (a (p - 1))for p > 1. - Generalized tent map: An ensemble of the skew tent map, whose density relaxes to the uniform invariant density for any
a. - Hopf: The Hopf normal form, whose focus gives birth to a limit cycle of radius
√(-μ / a)as μ crosses 0. - Hyperchaotic four-dimensional Rössler flow: Rössler's four-dimensional flow, hyperchaotic with two positive Lyapunov exponents for its defaults.
- Hénon map: The Hénon map
x' = 1 - a x² + y,y' = b x, with a fractal strange attractor for its defaults. - Ikeda delay equation: The Ikeda delay equation
x' = a sin x(t - tau)in the form of Dilão (2023, Exercise 6.4). - Intermittency maps: The Pomeau-Manneville map
x' = x + x^z (mod 1), whose long laminar phases near 0 end in chaotic bursts. - Langford attractor: The Langford flow, a rotation whose torus breaks into a strange attractor for the defaults of Dilão.
- Logistic map: The logistic map
x_{t+1} = r x_t (1 - x_t), which reaches chaos through period doubling asrgrows. - Lorenz: The Lorenz-63 system of convection, chaotic on a butterfly-shaped attractor for its standard parameters.
- Lozi map: The Lozi map
x' = 1 + y - a |x|,y' = b x, the piecewise linear Hénon map with a strange attractor. - Newton-Raphson map: Newton's method for
z³ = 1in the complex plane,z' = (2z³ + 1) / (3z²), in real coordinates. - Nosé-Hoover oscillator: The Nosé-Hoover oscillator
x' = y,y' = y z - x,z' = 1 - y², with tori next to a chaotic sea. - Quadratic system with a slow manifold and a finite Koopman embedding: The quadratic flow
x1' = mu x1,x2' = lam (x2 - x1^2), with a slow manifold and a linear embedding. - Rössler: The Rössler system, a chaotic flow with one folded band for its standard parameters.
- Rössler with an Ornstein-Uhlenbeck control parameter: The Rössler flow driven through its bifurcations by a slow Ornstein-Uhlenbeck control parameter.
- Saddle-node: The saddle-node normal form
x' = μ - x², whose two equilibria±√μmeet and vanish at μ = 0. - Sprott flow with a conservative torus and a chaotic attractor: Sprott's flow with a conservative torus and a dissipative chaotic attractor side by side.
- Sprott jerk: Sprott's jerk equation
x''' = -A x'' - x' + |x| - 1, chaotic near A = 0.6. - Standard: The Chirikov standard map
p' = p + K sin θ,θ' = θ + p', with global chaos above K ≈ 0.9716. - Subcritical Hopf normal form: The subcritical Hopf normal form, where a stable focus coexists with a stable limit cycle.
- Takens-Bogdanov: The Takens-Bogdanov normal form
x' = y,y' = β1 + β2 x + x² + s x y, where a saddle-node meets a Hopf. - Tent: The tent map
x' = μ min(x, 1 - x), chaotic with Lyapunov exponentln μfor μ above 1. - Thomas cyclically symmetric attractor: The Thomas flow
x' = -a x + sin ywith its cyclic permutations, chaotic fora = 0.18. - Towel maps: Rössler's towel map, a three-dimensional map with two positive Lyapunov exponents.
Fractals
- Cantor: The Cantor set as the substitution of every interval by its two outer parts.
- Iterated function systems by the chaos game: Points that draw the attractor of an iterated function system by the chaos game.
- Julia sets: The filled Julia set of
z -> z^2 + c, the starting points whose orbit stays bounded (Dilão 2023 §5.5). - Koch: The Koch curve as the L-system
F → F+F--F+Fdrawn by a turtle. - Mandelbrot set: The Mandelbrot set, the points
cwhose orbit ofz -> z^2 + cfrom 0 stays bounded (Dilão 2023 §5.5). - Random complex square-root function system: The random function system
z -> ±√(z - omega), whose points settle on the Julia set ofz² + omega. - Sierpiński substitutions: The Sierpiński triangle or carpet as the substitution of a polygon by scaled copies of itself.
Fractional dynamics
- Fractional Lorenz: The fractional Lorenz flow of Grigorenko and Grigorenko, chaotic for orders close enough to 1.
- Fractional Van der Pol: The fractional Van der Pol oscillator
D^alpha x = y,D^alpha y = mu (1 - x^2) y - x. - Fractional damped oscillator: The fractional damped oscillator
D^alpha x = v,D^alpha v = -omega^2 x - 2 gamma v. - Fractional relaxation: Fractional relaxation
D^alpha x = -lambda x, which decays as the Mittag-Leffler functionE_alpha.
Networks
- Barabási-Albert growth, with Bianconi-Barabási fitness: Barabási-Albert growth, whose degrees follow a power law
P(k) ~ k^-3by preferential attachment. - Cascades of failures in interdependent networks: The cascade of failures of Buldyrev et al. between two networks whose nodes depend on each other.
- Centralities, assortativity, communities, and motifs: A network recorded with its centralities, degree mixing, communities, and triangle z-score.
- Configuration model with stub matching and rewiring: The configuration model, the maximally random network of a given degree sequence.
- Davidsen-Ebel-Bornholdt network of triadic closure and node turnover: The Davidsen-Ebel-Bornholdt network, whose triadic closure and node turnover give high clustering.
- Diffusion: Diffusion on a network,
du_i/dt = D Σ_j A_ij (u_j - u_i), which spreads a unit mass to every node. - Erdos-Renyi and Watts-Strogatz graphs: The construction of an Erdős-Rényi or a Watts-Strogatz random graph, one step of new edges at a time.
- Explosive percolation by the Achlioptas product rule: Explosive percolation, where the Achlioptas product rule delays and sharpens the giant component.
- Graphlet arrival growth: Growth by the arrival of three-node graphlets, a tree whose degree exponent rises with
alpha. - Growing simplicial complex by triangle attachment: A simplicial complex that grows by gluing one triangle per step along an edge drawn uniformly.
- Holme-Kim growth: Holme-Kim growth, scale-free like Barabási-Albert growth but with clustering that stays high.
- Kronecker graphs: The Kronecker graph of two graphs, whose adjacency matrix is the Kronecker product of theirs.
- Motter-Lai cascades of betweenness overload: The cascade of overload failures of Motter and Lai after one node is removed.
- Network superposition model of Erdős-Rényi subgraphs: The network superposition model, a union of Erdős-Rényi graphs whose linking probabilities are drawn.
- Node-merging network of Kim et al.: The node-merging network of Kim et al., whose merging of linked nodes builds hubs without growth.
- PageRank iterations on networks: The PageRank iteration
r_i' = (1 - d) / n + d Σ_j A_ij r_j / k_jon an undirected network. - Popularity-similarity network: Popularity-similarity growth, scale-free and clustered, whose nodes attach by hyperbolic distance.
- Random failures and targeted attacks on networks: Failures or attacks on a scale-free network, robust to random failures but fragile to attacks on hubs.
- Random walks: Random walkers on a network, which visit every node of a connected graph in proportion to its degree.
- Size-biased random walk on hypergraphs: The size-biased random walk on a hypergraph,
p_j' = sum_i p_i T_ij - p_j, from one node. - Spatial triadic percolation on a torus: Spatial triadic percolation, where nearby signed regulators make the giant component form moving patterns.
- Steady-state duplication-deletion network: The steady-state duplication-deletion network of Jensen, whose connectance settles at Eq. 8.84.
- Triadic percolation: Triadic percolation, where regulating nodes switch links on and off from the giant component.
- Vertex-copying network growth: Vertex-copying growth, whose new nodes copy the edges of existing nodes and make a heavy-tailed degree.
Stochastic processes
- Ageing random walk: Ageing random walks, whose up steps become rarer the more of them a walker has taken.
- Bernoulli process: Independent Bernoulli processes, one success or failure per step, whose success counts are binomial.
- Birth-death process and M/M/1 queue: Independent M/M/1 queues, birth-death processes with constant arrival and service rates.
- Cascading sample-space-reducing process: Cascading sample-space-reducing processes, whose visits follow the power law
i^(-mu)for anymu. - Exponential growth observed at exponential random times: Exponential growth observed at exponentially distributed times, whose observed values follow a power law.
- Fragmentation: The random fragmentation of an object of integer size, whose fragments keep breaking into smaller ones.
- Galton-Watson branching: A Galton-Watson branching process with Poisson offspring, one generation per step.
- Hidden Markov source: A hidden Markov source, whose symbols are emitted at random from the states of a hidden Markov chain.
- Markov source: A Markov source, a sequence of symbols in which each symbol depends on the one before it.
- Ornstein-Uhlenbeck with weakening restoring force: Brownian particles held by a restoring force that weakens with distance.
- Persistent random walk: Walkers on the integers that keep the direction of their last step with a probability.
- Poisson process: Independent Poisson processes, counters that grow by one at exponentially distributed waiting times.
- Pólya urn: Independent Pólya urns, whose share of red balls converges to a random limit with a beta distribution.
- Random two-branch interval map: Orbits of a random map of
[0, 1]with the two branches(1 + x) / 2andmu x². - Random walk with autoregressive velocity: Random walks whose velocity is an autoregressive process,
x ← x + vandv ← alpha v + xi. - Random walks: Independent walkers on the integers that step at random times, a continuous-time random walk.
- Sample-space-reducing process: Sample-space-reducing processes, whose state visits follow Zipf's law
1 / iforlam = 1. - Stochastic on-off intermittency: Stochastic on-off intermittency,
dx/dt = (epsilon + xi) x - x^3with Stratonovich white noisexi.