arXiv · 2603.21527
A linear-algebraic formulation of dimensional analysis with constraints
Abstract
Dimensional analysis, especially Buckingham's $\pi$ theorem, reduces the number of variables by rewriting a relation in terms of dimensionless quantities. When variables are tied by definitions, constitutive laws, or other constraints, however, eliminating variables in advance can be awkward. We formulate dimensional analysis with constraints as linear algebra in logarithmic variables. Dimensional transformations and constraints are represented by subspaces, the effective number of independent dimensionless quantities is characterized by their intersection, and a matrix representation yields a systematic redundancy elimination procedure. Examples from falling motion, drag force, and stock-market indicators illustrate the scope and limitations of the method.
Explore related subjects
Keep this discovery
Umpei Miyamoto. 2026-03-23. A linear-algebraic formulation of dimensional analysis with constraints. https://arxiv.org/abs/2603.21527
Cite the original work for its findings. Save a collection to share your selection of sources.