# Ouroboros Functionals, Families of Ouroboros Functions, and Their Relationship to Partial Differential Equations and Probability Theory

- Published in 2021
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Previously, we have introduced a very small number of examples of what we call Ouroboros functions. Using our already established theory of Ouroboros spaces and their functions, we will provide a set of families of Ouroboros functions that bolster our overall understanding of the Ouroboros spaces. From here, we extend the theory of Ouroboros functions by introducing Ouroboros functionals and Ouroboros functional spaces. Furthermore, we re-frame the expected value of a random variable as an Ouroboros functional, which proves to be more intuitive in view of probabilistic measure theory. We then show that these Ouroboros functions have additional applications, as they are general solutions to certain elementary linear first order partial differential equations (PDEs). We conclude by elaborating upon this connection and discussing future endeavors, which will be centered on answering a given hypothesis.

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- key
- OuroborosFunctionalsFamiliesofOuroborosFunctionsandTheirRelationshiptoPartialDifferentialEquationsandProbabilityTheory
- type
- article
- date_added
- 2021-08-29
- date_published
- 2021-09-30

### BibTeX entry

@article{OuroborosFunctionalsFamiliesofOuroborosFunctionsandTheirRelationshiptoPartialDifferentialEquationsandProbabilityTheory, key = {OuroborosFunctionalsFamiliesofOuroborosFunctionsandTheirRelationshiptoPartialDifferentialEquationsandProbabilityTheory}, type = {article}, title = {Ouroboros Functionals, Families of Ouroboros Functions, and Their Relationship to Partial Differential Equations and Probability Theory}, author = {Nathan Thomas Provost}, abstract = {Previously, we have introduced a very small number of examples of what we call Ouroboros functions. Using our already established theory of Ouroboros spaces and their functions, we will provide a set of families of Ouroboros functions that bolster our overall understanding of the Ouroboros spaces. From here, we extend the theory of Ouroboros functions by introducing Ouroboros functionals and Ouroboros functional spaces. Furthermore, we re-frame the expected value of a random variable as an Ouroboros functional, which proves to be more intuitive in view of probabilistic measure theory. We then show that these Ouroboros functions have additional applications, as they are general solutions to certain elementary linear first order partial differential equations (PDEs). We conclude by elaborating upon this connection and discussing future endeavors, which will be centered on answering a given hypothesis.}, comment = {}, date_added = {2021-08-29}, date_published = {2021-09-30}, urls = {http://arxiv.org/abs/2106.04680v1,http://arxiv.org/pdf/2106.04680v1}, collections = {attention-grabbing-titles}, url = {http://arxiv.org/abs/2106.04680v1 http://arxiv.org/pdf/2106.04680v1}, year = 2021, urldate = {2021-08-29}, archivePrefix = {arXiv}, eprint = {2106.04680}, primaryClass = {math.FA} }