RIEMANNIAN GEOMETRY AND ITS APPLICATIONS IN MODERN SCIENCE AND TECHNOLOGY
Abstract
Riemannian geometry, a branch of differential geometry, investigates smooth manifolds with Riemannian metrics, providing a foundation for understanding curvature and distance in non-Euclidean spaces. This article presents an overview of Riemannian geometry, its mathematical structures, and its pivotal role in various modern applications, including general relativity, robotics, machine learning, and medical imaging. The study highlights the intrinsic geometry of manifolds and emphasizes how Riemannian tools enable deeper exploration in both theoretical and applied sciences.
Keywords
Riemannian Geometry, Differential Geometry, Riemannian ManifoldHow to Cite
References
do Carmo, M. P. (1992). Riemannian Geometry. Boston: Birkhäuser.
Lee, J. M. (1997). Riemannian Manifolds: An Introduction to Curvature. New York: Springer.
O'Neill, B. (1983). Semi-Riemannian Geometry with Applications to Relativity. San Diego: Academic Press.
Einstein, A. (1916). The Foundation of the General Theory of Relativity. Annalen der Physik, 49(7), 769–822.
Petersen, P. (2006). Riemannian Geometry (2nd ed.). New York: Springer.
Arsigny, V., Fillard, P., Pennec, X., & Ayache, N. (2006). Log-Euclidean Metrics for Fast and Simple Calculus on Diffusion Tensors. Magnetic Resonance in Medicine, 56(2), 411–421.
Absil, P. A., Mahony, R., & Sepulchre, R. (2009). Optimization Algorithms on Matrix Manifolds. Princeton University Press.
Bronstein, M. M., Bruna, J., LeCun, Y., Szlam, A., & Vandergheynst, P. (2017). Geometric Deep Learning: Going beyond Euclidean data. IEEE Signal Processing Magazine, 34(4), 18–42.
Pennec, X., Sommer, S., & Fletcher, P. T. (2019). Riemannian Geometric Statistics in Medical Image Analysis. Academic Press.
Tenenbaum, J. B., de Silva, V., & Langford, J. C. (2000). A Global Geometric Framework for Nonlinear Dimensionality Reduction. Science, 290(5500), 2319–2323.
Gromov, M. (2007). Metric Structures for Riemannian and Non-Riemannian Spaces. Modern Birkhäuser Classics.
Gallot, S., Hulin, D., & Lafontaine, J. (2004). Riemannian Geometry (3rd ed.). Springer.
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