Breakfast, Lunch, and Dinner Systems!

Are they good to eat? Does the person who creates the systems think about the complexity of the recipe?

Are they good to eat? Does the person who creates the systems think about the complexity of the recipe?

example of study of the venous and arterial system in the human body through iconic topological representation.

Let's define a system:

A system is a set formed by multiple interacting elements in such a way as to constitute a single entity and organized to achieve a predetermined goal. A system is a set of parts or elements related in such a way as to constitute a whole, which has meaning in a certain context. A system is a set of parts related in such a way as to form a whole and/or function in a certain way.


Invariant system vs variant system

Invariant systems: a system is defined as invariant or stationary if it responds equally to the same stimuli, at different times. (Examples: a calculator, a can dispenser).

Variant system: a system is defined as variant or deteriorable when the same inputs correspond to different outputs. (Examples: a missile traveling from Earth to the Moon consuming solid fuel).

Deterministic system: a system is defined as deterministic when the transition and transformation functions are defined in such a way as to allow the determination of the state value and outputs in a unique way. (Examples: irrigation systems, every time the switch is pressed, a sprayer turns on; or a production line).

Stochastic system: a system is defined as stochastic when one of the two functions is regulated by a probabilistic nature. (Examples: amount of light during the day, atmospheric turbulence, number of patients in a hospital).

Examples:

1.Invariant deterministic= The laws of physics are invariant (as far as is currently known).

2.Variant deterministic= Often, variant systems derive from inputs to the system (coming from external systems) and intentionally not included in the model.

3.Variant stochastic= From a practical point of view, a stochastic process is a form of representation of a quantity that varies over time in a random way (for example, an electrical signal containing information or modulated, the number of cars passing over a bridge, etc.) and with certain characteristics.

4. Invariant stochastic= In a chemical reaction, the transition probabilities from state i to state j in a step do not depend on the instant being considered or when such a transition occurs.

INVARIANT SYSTEM: a system from which, given certain inputs, I always receive the same outputs (coffee machine (the output is not influenced by variables))
VARIANT SYSTEM: a system in which there are non-negligible variables that determine the output (the output in these systems will depend on the changing parameters)
(weather forecasts (the output is influenced by variables))
DETERMINISTIC SYSTEM: if, subjected to the same initial conditions and the same stimuli, it behaves evolving always in the same way (remote control)
STOCHASTIC SYSTEM: if, subjected to the same initial conditions and the same stimuli, it behaves evolving in a random or unpredictable way. Roulette (the output is random, it does not depend on the input which in this case is the bet)

Deterministic system: A system is defined as deterministic if, subjected to the same initial conditions and the same stimuli, it behaves evolving always in the same way. The system is describable by a mathematical function. EXAMPLES: calculator, computer…
Sochastic system: A system is defined as stochastic if, subjected to the same initial conditions and the same stimuli, it behaves evolving in a random or unpredictable way. EXAMPLES: double pendulum, fluid turbulence, brownian motion…

VARIANT DETERMINISTIC: movement of a projectile, trajectory of an arrow…
INVARIANT DETERMINISTIC: calculator, drawing program functions…
VARIANT STOCHASTIC: movement of a turbulent fluid, chaotic double pendulum, position of the electron around the nucleus…
INVARIANT STOCHASTIC: slot machine, dice roll…