Final answer:
Big-θ notation represents the tight bound of a function. Big-O notation represents the upper bound of a function. Big-Ω notation represents the lower bound of a function.
Step-by-step explanation:
Asymptotic notation is used in computer science to describe the performance characteristics of algorithms and functions. In this context, the correct definitions for the different notations are as follows:
- Big-θ notation represents the tight bound of a function. It provides both an upper and lower bound, indicating that the function grows at the same rate as the upper and lower bounds.
- Big-O notation represents the upper bound of a function. It specifies that the function will not grow faster than a certain rate.
- Big-Ω notation represents the lower bound of a function. It indicates that the function will not grow slower than a certain rate.