The Hopf fibration is a mathematical construct that illustrates a three-dimensional sphere (S^3) as an assembly of circles (S^1) mapped to a standard two-dimensional sphere (S^2), revealing complex topological relationships that extend to various physical and theoretical applications, including quantum mechanics and fluid dynamics.
The Hopf fibration, discovered by Heinz Hopf in 1931, is a significant early example of a fiber bundle, which maps points on a 3-sphere to points on a 2-sphere such that each point on the 2-sphere is related to a distinct great circle on the 3-sphere, creating a many-to-one continuous function. These great circles are the "fibers" of the bundle and are denoted S^1 ➝ S^3 ➝ p S^2, indicating a non-trivial fiber bundle structure, as the 3-sphere (S^3) locally resembles but globally differs from the direct product of a circle (S^1) and a 2-sphere (S^2). Stereographic projection is used to visualize this structure in three dimensions, transforming it into a configuration of linked tori filled with Villarceau circles.
The Hopf fibration can be directly constructed using complex numbers, with two complex numbers representing points on the 3-sphere that map to points on the 2-sphere when absolute values of these numbers add to one, demonstrating the fiber bundle's local product space property. It is also interpreted geometrically via rotations relative to the spin group Spin(3) and quaternion algebra, further linking the concepts of fiber bundles to rotations in three-dimensional space.
Hopf's work generalizes to high-dimensional and complex structures, extending to real, quaternionic, and octonionic versions, restricted by Adams's theorem to only certain dimensions. Furthermore, the Hopf fibration is an integral part of twistor theory, a framework in theoretical physics that structures spacetime using complex geometry.
The Hopf fibration not only serves as a mathematical curiosity but also penetrates various scientific domains. It offers insights into the topology of quantum states, is analogous to fluids' dynamics under the Navier–Stokes equations, and even aids in robotic motion planning and control, underscoring its far-reaching significance across different fields.