Bibliographic Information: Jansma, A., Mediano, P. A. M., & Rosas, F. E. (2024). The Fast Möbius Transform: An algebraic approach to information decomposition. arXiv preprint arXiv:2410.06224v1.
Research Objective: This paper aims to address the computational limitations of Partial Information Decomposition (PID) and Integrated Information Decomposition (ΦID) by introducing a novel, algebraically-grounded method called the fast Möbius transform.
Methodology: The authors leverage the algebraic structure of the redundancy lattice, specifically its properties as a free distributive lattice, to derive a closed-form formula for the Möbius function. This formula enables the direct calculation of information atoms without the need for computationally expensive lattice construction or system of equations inversion.
Key Findings:
Main Conclusions: The fast Möbius transform offers a powerful new approach to information decomposition, enabling analyses of larger systems and opening avenues for exploring the algebraic foundations of information theory.
Significance: This work significantly advances the field of information decomposition by providing a computationally efficient method for analyzing complex systems, with potential applications in neuroscience, genetics, machine learning, and other domains.
Limitations and Future Research: While the fast Möbius transform enables analyses of systems with up to five variables, computational limitations persist for larger systems. Future research could explore alternative approaches or approximations for tackling higher-order information decomposition problems.
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