What are state invariants in modeling?

State invariants are conditions that must hold true at the occurrence of an event for a model to remain valid. They are crucial in system modeling because they define the constraints that govern the state of a system at specific points in time. By ensuring that these conditions are met during event occurrences, modelers can verify that the system behaves correctly and predictably.

In modeling, state invariants help maintain the integrity of various configurations or states of an object or system, providing a way to ensure that fundamental properties remain constant throughout its lifecycle. This concept is particularly vital in areas such as formal verification, where ensuring that certain conditions are met is critical for the overall behavior and reliability of the system being modeled.