Hyperbolic geometry is a branch of math that deals with the study of hyperbolas. In this context, hyperbolas are curves that resemble the graph of a function that is the inverse of a trigonometric function.
Hyperbolic geometry is used in various fields such as computer graphics, robotics, and even neural networks. In fact, the neural networks we will cover later are heavily influenced by hyperbolic geometry.
Hyperbolas can be described as the graph of a function that is the inverse of a trigonometric function, such as y = 1/x. They have the property that they are symmetric with respect to a central point, and are often used to model curves that are not bounded by a finite number of points.
Some of the key concepts in hyperbolic geometry include: