Enhancing Variational Informational Principles: A Complexified Approach with Arbitrary Order Norms
This paper offers an innovative exploration of variational informational principles by incorporating complexification and studying norms of arbitrary order, thereby surpassing the limitations of the conventional L2 norm. For years, variational principles have been vital for deriving fundamental results in both physics and information theory; however, our proposed framework represents a significant advancement by utilizing complex variables to enhance our understanding of information measures. By employing complex numbers, we introduce a sophisticated structure that captures phase information, thereby significantly improving the potential applicability and scope of variational principles. The inclusion of norms of arbitrary order further expands the scope of optimization problems in information theory, leading to the potential for more creative solutions. Our findings indicate that this extended framework not only maintains the essential characteristics of traditional variational principles but also reveals valuable insights into the complex interplay between complexity, information, and optimization. We conclude with a thoughtful discussion of potential applications and future research directions, emphasizing the transformative impact that complexified variational principles, together with norms of arbitrary order, could have on the study of quantum dynamics.
Authors
- Josep M. Oller (ORCID: https://orcid.org/0000-0002-9643-4406)
- David Bernal‐Casas (ORCID: https://orcid.org/0000-0002-4623-5935)
Institutions
- Universitat Pompeu Fabra (ES)
- Universitat de Barcelona (ES)
Publication Details
- Journal
- Mathematics
- Published
- 2025-10-02
- DOI
- https://doi.org/10.3390/math13193160
- Primary Topic
- Probabilistic and Robust Engineering Design
- Type
- article
- Field-Weighted Citation Impact
- 0.00