This article examines Bernhard Riemann’s foundational work on the hypotheses underlying geometry and explores the relationship between mathematical structures, metric relations, and physical reality. Building on Riemann’s 1854 habilitation lecture, published posthumously in 1868, the study examines continuous and discrete manifolds, dimensional construction, coordinate systems, level sets, metric formulation, curvature, geometric invariance, spatial extent, and the empirical determination of physical geometry. The article develops a Relational Architecture for Structural Reconstruction, organized around four fundamental components: domain, relations, metric, and invariants. Its central hypothesis proposes that, for certain classes of systems, a metric structure can be reconstructed from observable relations among its elements when the available information is sufficient to identify the corresponding geometry. An operational investigative protocol is presented for constructing relational structures, defining candidate metrics, calculating geometric properties, testing invariance, comparing results with reference data, and evaluating structural identifiability. The framework establishes a methodological basis for investigating the conditions under which relational information can determine a geometric structure and identifying cases in which additional information is required. By connecting the foundations of differential geometry with contemporary questions in structural reconstruction, network analysis, data representation, and computational modeling, this study proposes a systematic approach to examining how mathematical structures can be represented, compared, reconstructed, and tested.
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Vicente da Silva (2026) studied this question.
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