Linked from

The 20 pages that link to State space, each with the reason it gives.

• Dynamical systemRelated: Each point represents the system's complete state at a given time.

• Markov chainRelated: The states specify the chain’s possible positions and the dimensions of its transition matrix.

• Initial conditionRelated: A state-valued initial condition selects the system’s starting point in this space.

• Thermodynamic stateRelated: Each point represents one combination of state variables allowed by the system.

• Lyapunov stabilityRelated: Neighborhoods in this space give the precise meaning of perturbations and closeness.

• HeuristicRelated: Search heuristics reduce the effort of exploring this potentially enormous set.

• Symmetry in physicsRelated: A symmetry may map one allowed state to another within the same space.

• Complex systemRelated: It makes the range of possible collective configurations explicit.

• Deterministic systemRelated: Each point represents a complete state from which deterministic rules specify subsequent states.

• Sliding puzzleRelated: Each arrangement is a state, and each legal slide creates an edge between states.

• 0-dimensional systemsRelated: Its state space replaces spatial configuration as the model's description of possible states.

• Chaos and nonlinear dynamicsRelated: Trajectories and attractors are understood as paths and sets in state space.

• Dynamical system simulationRelated: A simulation tracks a path through this space.

• Evolution (physics)Related: A system’s evolution traces a path through its state space.

• State (condition)Related: It represents the range of conditions the system could occupy.