Trajectory - crowlogic/arb4j GitHub Wiki

A trajectory of a dynamical system is parameterized by specifying an initial condition (starting point) and, in some cases, a set of system parameters that determine how the system evolves over time. The trajectory represents the path taken by the system as it moves through its state space. Let's break down the key components involved in parameterizing a trajectory.

• State space: The state space is a mathematical space in which the state of the dynamical system is represented. Each point in the state space corresponds to a unique configuration or state of the system.

• Initial condition: The initial condition is a point in the state space that represents the starting state of the system. To parameterize a trajectory, you need to specify this initial condition.

• Dynamical equations: These are the mathematical equations governing the evolution of the system over time. They describe how the system's state changes as a function of time, given the system's current state and any external inputs or controls.

• Time: The trajectory of a dynamical system is typically parameterized by time, which is often represented by a variable, say t. As time progresses, the trajectory traces the path of the system through the state space.

• System parameters: Many dynamical systems have parameters that influence their behavior. These parameters can be constants, variables, or even functions of time. To fully parameterize a trajectory, you may need to specify these system parameters as well.

Once you have specified the initial condition, dynamical equations, time parameter, and any system parameters, you can compute the trajectory of the dynamical system by solving the dynamical equations. In some cases, the equations can be solved analytically, while in others, numerical methods such as Euler's method, Runge-Kutta methods, or others may be necessary.