Each elementary particle is represented by a point-like object that hops around in an ongoing hopping path. This hopping path recurrently regenerates a hop landing location swarm. On its private platform, this hop landing location swarm is described by a stable location density distribution. That location density distribution has a Fourier transform that acts as the characteristic function of the stochastic process that generates the ongoing hopping path. The location density distribution equals the square of the modulus of the wave function of the elementary particle. The private platform is a quaternionic separable Hilbert space that archives the ongoing hopping path as a cord of quaternionic eigenvalues of a dedicated footprint operator. Each eigenvalue contains a scalar time stamp and a three-dimensional spatial location. The eigenvectors represent a dynamic footprint vector that also represents a state vector. The state vector has an expected value that coincides with the geometric center of the private parameter space of the platform. The state vector is taken from the vector space that underlies the Hilbert space.

Another description of the stochastic process is that it is a combination of a Poisson process and a binomial process. The binomial process is implemented by the mentioned location density distribution.

This description is still not complete. The description does not specify the shape of the location density distribution and it does not specify how many hop landings are contained in the recurrently regenerated hop landing location swarm. Also, the recurrence rate is not specified.

It is known that different types of elementary particles exist and these types differ in the characteristics that are not substantiated in the above description. Further, these particles differ in the symmetry of the platform on which they reside. That platform is a separable Hilbert space. The Hilbert space owns a private parameter space that is formed by a version of the quaternionic number system. All Hilbert spaces that represent platforms of an elementary particle share the same underlying vector space.

For more details, see: https://www.researchgate.net/post/Is_it_possible_to_design_the_universe_with_mathematical_tools

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