Abstract
This paper proposes a generalization of information geometry named Q-information geometry (Q-IG) related to systems described by parametric models, based \(\mathbb {R}\)-Complex Finsler subspaces and leading to Q-spaces. A Q-space is a pair \( \left( \text {M}^n_{S_X},\vert F^{Q,n}_{J,x} \vert \right) \) with \(\text {M}^n_{S_X}\) a \(\mathbb {C}\)-manifold of systems and \( \vert F^{Q,n}_{J,x} \vert \) a continuous function such that \( F^{Q,n}_{3,x}=F^n_{{H},x}+\sqrt{-1}F^n_{\overline{H},x} \) with a signature \( (+,+,-) \) where \( F^n_{H,x} \) and \(F^n_{\overline{H},x}\) are \( \tau \)-Hermitian and \( \tau \)-non-Hermitian metrics, respectively. Experimental results are presented from a semi-finite acoustic waves guide.
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Corbier, C. (2021). Q-Information Geometry of Systems. In: Nielsen, F., Barbaresco, F. (eds) Geometric Science of Information. GSI 2021. Lecture Notes in Computer Science(), vol 12829. Springer, Cham. https://doi.org/10.1007/978-3-030-80209-7_16
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DOI: https://doi.org/10.1007/978-3-030-80209-7_16
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