My interest is centered around Randomness.

My research illustrates “Randomness” to be a pseudo-deterministic process, which explains random outcomes as occurrences with freedom of flow, within constraints set by nature.

A process that fits within our understanding of particle and wave theories, which accommodates the concept of quantum mechanics and conservation of energy within its operations.

A process that operates with scalar multiplication of vectors creating its own vector space.

This random vector space with its own topography has its own inner product, accommodating the hypothesis of Hilbert and can even be manipulated to form its own Cauchy space.

This hypothetical Cauchy space, formed by pinching off a space area of infinite random space, provides us with the enclosed parameter requirement we need to obtain completeness.

The Exeleon matrix flow methodology, which happens within it's created Cauchy space, is indeed a subset of infinite Randomness. Within this Exeleon Cauchy space exits an inner-product space, which fills up first with random variables, before the rest of the Exeleon matrix is filled. Random variables with higher energy are easily identified within the Exeleon matrix and because the size of the Cauchy space can be determined with the equation, ∑ΩR(x) =Φ 2 (x)-Ӕ, which allows us to characterize part of the Exeleon Matrix which still need to be filled up with 90% accuracy. Using this principle and studying the relevant random flow we can indeed predict random occurrence appearances more accurately than ever before.

These Cauchy space areas of random space with its close identity formats are in effect subsets of the open identity format of Randomness as we know it, operating definably into infinity.

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