DSS-Deterministic System

A deterministic system is a system in which every state or configuration of the system at any given time is uniquely determined by its previous states, with no randomness or uncertainty involved. In other words, if you know the initial conditions of the system and the rules governing its evolution, you can predict its future states precisely.

Deterministic systems are often contrasted with stochastic or probabilistic systems, where randomness or uncertainty plays a role in the evolution of the system. In a deterministic system, there is a one-to-one correspondence between the initial conditions and the subsequent states of the system.
Examples of deterministic systems include classical mechanics, where the motion of objects can be predicted using Newton’s laws of motion, and certain mathematical systems, such as linear systems of equations.
It’s important to note that in practice, perfect determinism may be an idealization, and various factors, such as measurement precision and external influences, can introduce some level of uncertainty into real-world systems. However, when discussing deterministic systems, it generally refers to the idea that, in principle, the future states of the system are fully determined by its current state and governing rules.