Deeper probabilistic understanding of L-fractional operators

Investigate whether the beta-distribution-based probabilistic interpretation of L-fractional operators can be leveraged to better understand and generalize the concept of fractional derivatives and their memory effects.

Background

The paper interprets L-fractional operators via beta-distributed delays, connecting fractional differentiation to probabilistic averaging. Extending this link could illuminate memory properties and potential generalizations within fractional calculus.