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3-manifold and Robion Kirby

Shortcuts: Differences, Similarities, Jaccard Similarity Coefficient, References.

Difference between 3-manifold and Robion Kirby

3-manifold vs. Robion Kirby

In mathematics, a 3-manifold is a space that locally looks like Euclidean 3-dimensional space. Robion Cromwell Kirby (born February 25, 1938) is a Professor of Mathematics at the University of California, Berkeley who specializes in low-dimensional topology.

Similarities between 3-manifold and Robion Kirby

3-manifold and Robion Kirby have 4 things in common (in Unionpedia): Knot (mathematics), Low-dimensional topology, Mathematics, Piecewise linear manifold.

Knot (mathematics)

In mathematics, a knot is an embedding of a circle S^1 in 3-dimensional Euclidean space, R3 (also known as E3), considered up to continuous deformations (isotopies).

3-manifold and Knot (mathematics) · Knot (mathematics) and Robion Kirby · See more »

Low-dimensional topology

In mathematics, low-dimensional topology is the branch of topology that studies manifolds, or more generally topological spaces, of four or fewer dimensions.

3-manifold and Low-dimensional topology · Low-dimensional topology and Robion Kirby · See more »

Mathematics

Mathematics (from Greek μάθημα máthēma, "knowledge, study, learning") is the study of such topics as quantity, structure, space, and change.

3-manifold and Mathematics · Mathematics and Robion Kirby · See more »

Piecewise linear manifold

In mathematics, a piecewise linear (PL) manifold is a topological manifold together with a piecewise linear structure on it.

3-manifold and Piecewise linear manifold · Piecewise linear manifold and Robion Kirby · See more »

The list above answers the following questions

3-manifold and Robion Kirby Comparison

3-manifold has 185 relations, while Robion Kirby has 31. As they have in common 4, the Jaccard index is 1.85% = 4 / (185 + 31).

References

This article shows the relationship between 3-manifold and Robion Kirby. To access each article from which the information was extracted, please visit:

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