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Intrinsic metric information


In the mathematical study of metric spaces, one can consider the arclength of paths in the space. If two points are at a given distance from each other, it is natural to expect that one should be able to get from the first point to the second along a path whose arclength is equal to (or very close to) that distance. The distance between two points of a metric space relative to the intrinsic metric is defined as the infimum of the lengths of all paths from the first point to the second. A metric space is a length metric space if the intrinsic metric agrees with the original metric of the space.

If the space has the stronger property that there always exists a path that achieves the infimum of length (a geodesic) then it is called a geodesic metric space or geodesic space. For instance, the Euclidean plane is a geodesic space, with line segments as its geodesics. The Euclidean plane with the origin removed is not geodesic, but is still a length metric space.

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Intrinsic metric

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a metric space relative to the intrinsic metric is defined as the infimum of the lengths of all paths from the first point to the second. A metric space...

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Glossary of Riemannian and metric geometry

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}}\right|_{\tau =0}.} Jordan curve Killing vector field Length metric the same as intrinsic metric. Levi-Civita connection is a natural way to differentiate...

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Finsler manifold

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(typically non-Minkowski) norm on each tangent space of M. The induced intrinsic metric dL: M × M → [0, ∞] of the original quasimetric can be recovered from...

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Metric space

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the metric d is intrinsic) if the distance between any two points x and y is the infimum of lengths of paths between them. Unlike in a geodesic metric space...

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Geodesic

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statements about the geodesic completeness of Riemannian manifolds Intrinsic metric – Concept in geometry/topology Isotropic line Jacobi field Morse theory –...

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Kobayashi metric

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mathematics and especially complex geometry, the Kobayashi metric is a pseudometric intrinsically associated to any complex manifold. It was introduced by...

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Metric tensor

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In the mathematical field of differential geometry, a metric tensor (or simply metric) is an additional structure on a manifold M (such as a surface)...

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List of general topology topics

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Banach fixed-point theorem Polish space Hausdorff distance Intrinsic metric Category of metric spaces Stone duality Stone's representation theorem for Boolean...

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Riemannian manifold

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consider Lipschitz Riemannian metrics or measurable Riemannian metrics, among many other possibilities. A Riemannian metric (tensor) makes it possible to...

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Gaussian curvature

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itself, is determined by the intrinsic metric of the surface without any further reference to the ambient space: it is an intrinsic invariant. In particular...

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Expansion of the universe

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gravitationally unbound parts of the observable universe with time. It is an intrinsic expansion, so it does not mean that the universe expands "into" anything...

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Centrifugal force

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ISBN 978-0-07-048293-7. T Yanao; K Takatsuka (2005). "Effects of an intrinsic metric of molecular internal space". In Mikito Toda; Tamiki Komatsuzaki; Stuart...

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Schwarzschild metric

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the gravitational constant. The Schwarzschild metric has a singularity for r = 0, which is an intrinsic curvature singularity. It also seems to have a...

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Convex metric space

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which is not metrically convex. Intrinsic metric Khamsi, Mohamed A.; Kirk, William A. (2001). An Introduction to Metric Spaces and Fixed Point Theory....

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Area of a circle

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S^{2}(1)} is a model for the two-dimensional elliptic plane. It carries an intrinsic metric that arises by measuring geodesic length. The geodesic circles are...

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Acoustic metric

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In acoustics and fluid dynamics, an acoustic metric (also known as a sonic metric) is a metric that describes the signal-carrying properties of a given...

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List of differential geometry topics

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charts List of formulas in Riemannian geometry Christoffel symbols Intrinsic metric Pseudo-Riemannian manifold Sub-Riemannian manifold Finsler geometry...

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Intrinsic dimension

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The intrinsic dimension for a data set can be thought of as the number of variables needed in a minimal representation of the data. Similarly, in signal...

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Covariant derivative

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the extrinsic normal component (dependent on the embedding) and the intrinsic covariant derivative component. The name is motivated by the importance...

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Differential geometry

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differential geometry in higher dimensions. This intrinsic point of view in terms of the Riemannian metric, denoted by d s 2 {\displaystyle ds^{2}} by Riemann...

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Curvature

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Curvature of Riemannian manifolds of dimension at least two can be defined intrinsically without reference to a larger space. For curves, the canonical example...

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Hamming distance

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2173896 and 2233796 is 3. For a fixed length n, the Hamming distance is a metric on the set of the words of length n (also known as a Hamming space), as...

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Category of metric spaces

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of Met as a category; they may also be defined intrinsically in terms of a Helly property of their metric balls, and because of this alternative definition...

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