Hierarchical Calculus — founded and developed by Ahmed Gossa.
Hierarchical Calculus generalizes classical derivatives by introducing a rank parameter. Rank 0 corresponds to the usual derivative, rank 1 to the relative derivative, rank 2 to the logarithmic derivative, and so on. This site provides an academic reference with DOI-archived releases on Zenodo.
Abstract: Hierarchical Calculus is a mathematical framework introducing multi-level derivatives and equations by extending classical calculus using a rank-based operator \(D^{k}_{n}\), where \(n\) denotes rank and \(k\) denotes degree. The framework includes differential (rank 0), relative (rank 1), logarithmic (rank 2), tetrational (rank 3), and the general rank-\(n\) derivative.
Official notation: degree above, rank below. We write the hierarchical derivative as \(D^{k}_{n}\) where \(n\) is rank and \(k\) is degree. The most common case is degree \(k=1\).
The rank-\(n\), degree-1 hierarchical derivative (domain conditions apply):
where \(\ln^{(n)}\) denotes the iterated logarithm (e.g., \(\ln^{(3)}(x)=\ln(\ln(\ln x))\)).
• Rank controls the logarithmic “level” of the derivative.
• Degree controls iteration or higher-order behavior.
• Hierarchical equations generalize differential equations by replacing \(d/dx\) with \(D_n\).
• Official releases are archived on Zenodo with DOI.
Hierarchical equations generalize differential equations by using derivatives of rank \(n\). General form:
A guiding example of a blow-up type equation at the differential level:
With an appropriate hierarchical lifting, one may obtain a simpler expression in a higher rank (details in the equations pages).
Copy/paste-ready references.
Organized access to the full content (technical reference + applications).
Core theory, definitions, and notation.
A beginner-friendly comparison and interpretation.
Relations between hierarchical ranks and operators.
Formal definition of rank and degree for derivatives.
General forms, transformations, and methods.
Worked solutions and examples.
Cases where hierarchical lifting provides insight.
Motivation and limitations of classical methods.
Rules for rank transitions and operator behavior.
Definitions and connections to inverses of \(D_n\).
Series expansions under hierarchical derivatives.
Numerical demonstrations and error comparisons.
Newton · Relativity · Quantum applications.
Multi-rank modeling examples in economics.
Applications to astronomy contexts.
Engineering-oriented applications and examples.
Geometric interpretation and applications.
Interpretation and meaning of derivatives.
Comparison with classical and related frameworks.
Historical foundation and early notes.
Bibliography and academic reference pages.
Questions, clarifications, and reader guidance.
Full Arabic structure and pages.