Ball (mathematics) Information
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In mathematics, a ball is the solid figure bounded by a sphere; it is also called a solid sphere.^{ [1]} It may be a closed ball (including the boundary points that constitute the sphere) or an open ball (excluding them).
These concepts are defined not only in three-dimensional Euclidean space but also for lower and higher dimensions, and for metric spaces in general. A ball in n dimensions is called a hyperball or n-ball and is bounded by a hypersphere or (n−1)-sphere. Thus, for example, a ball in the Euclidean plane is the same thing as a disk, the area bounded by a circle. In Euclidean 3-space, a ball is taken to be the volume bounded by a 2-dimensional sphere. In a one-dimensional space, a ball is a line segment.
In other contexts, such as in Euclidean geometry and informal use, sphere is sometimes used to mean ball.
In Euclidean space
In Euclidean n-space, an (open) n-ball of radius r and center x is the set of all points of distance less than r from x. A closed n-ball of radius r is the set of all points of distance less than or equal to r away from x.
In Euclidean n-space, every ball is bounded by a hypersphere. The ball is a bounded interval when n = 1, is a disk bounded by a circle when n = 2, and is bounded by a sphere when n = 3.
Volume
The n-dimensional volume of a Euclidean ball of radius R in n-dimensional Euclidean space is:^{ [2]}
In the formula for odd-dimensional volumes, the double factorial (2k + 1)!! is defined for odd integers 2k + 1 as (2k + 1)!! = 1 ⋅ 3 ⋅ 5 ⋅ ⋯ ⋅ (2k − 1) ⋅ (2k + 1).
In general metric spaces
Let (M, d) be a metric space, namely a set M with a metric (distance function) d. The open (metric) ball of radius r > 0 centered at a point p in M, usually denoted by B_{r}(p) or B(p; r), is defined by
The closed (metric) ball, which may be denoted by B_{r}[p] or B[p; r], is defined by
Note in particular that a ball (open or closed) always includes p itself, since the definition requires r > 0.
The closure of the open ball B_{r}(p) is usually denoted B_{r}(p). While it is always the case that B_{r}(p) ⊆ B_{r}(p) ⊆ B_{r}[p], it is not always the case that B_{r}(p) = B_{r}[p]. For example, in a metric space X with the discrete metric, one has B_{1}(p) = {p} and B_{1}[p] = X, for any p ∈ X.
A unit ball (open or closed) is a ball of radius 1.
A subset of a metric space is bounded if it is contained in some ball. A set is totally bounded if, given any positive radius, it is covered by finitely many balls of that radius.
The open balls of a metric space can serve as a base, giving this space a topology, the open sets of which are all possible unions of open balls. This topology on a metric space is called the topology induced by the metric d.
In normed vector spaces
Any normed vector space V with norm is also a metric space with the metric In such spaces, an arbitrary ball of points around a point with a distance of less than may be viewed as a scaled (by ) and translated (by ) copy of a unit ball Such "centered" balls with are denoted with
The Euclidean balls discussed earlier are an example of balls in a normed vector space.
p-norm
In a Cartesian space R^{n} with the p-norm L_{p}, that is
For n = 2, in a 2-dimensional plane , "balls" according to the L_{1}-norm (often called the taxicab or Manhattan metric) are bounded by squares with their diagonals parallel to the coordinate axes; those according to the L_{∞}-norm, also called the Chebyshev metric, have squares with their sides parallel to the coordinate axes as their boundaries. The L_{2}-norm, known as the Euclidean metric, generates the well known discs within circles, and for other values of p, the corresponding balls are areas bounded by Lamé curves (hypoellipses or hyperellipses).
For n = 3, the L_{1}- balls are within octahedra with axes-aligned body diagonals, the L_{∞}-balls are within cubes with axes-aligned edges, and the boundaries of balls for L_{p} with p > 2 are superellipsoids. Obviously, p = 2 generates the inner of usual spheres.
General convex norm
More generally, given any centrally symmetric, bounded, open, and convex subset X of R^{n}, one can define a norm on R^{n} where the balls are all translated and uniformly scaled copies of X. Note this theorem does not hold if "open" subset is replaced by "closed" subset, because the origin point qualifies but does not define a norm on R^{n}.
In topological spaces
One may talk about balls in any topological space X, not necessarily induced by a metric. An (open or closed) n-dimensional topological ball of X is any subset of X which is homeomorphic to an (open or closed) Euclidean n-ball. Topological n-balls are important in combinatorial topology, as the building blocks of cell complexes.
Any open topological n-ball is homeomorphic to the Cartesian space R^{n} and to the open unit n-cube (hypercube) (0, 1)^{n} ⊆ R^{n}. Any closed topological n-ball is homeomorphic to the closed n-cube [0, 1]^{n}.
An n-ball is homeomorphic to an m-ball if and only if n = m. The homeomorphisms between an open n-ball B and R^{n} can be classified in two classes, that can be identified with the two possible topological orientations of B.
A topological n-ball need not be smooth; if it is smooth, it need not be diffeomorphic to a Euclidean n-ball.
Regions
A number of special regions can be defined for a ball:
- cap, bounded by one plane
- sector, bounded by a conical boundary with apex at the center of the sphere
- segment, bounded by a pair of parallel planes
- shell, bounded by two concentric spheres of differing radii
- wedge, bounded by two planes passing through a sphere center and the surface of the sphere
See also
- Ball – ordinary meaning
- Disk (mathematics)
- Formal ball, an extension to negative radii
- Neighbourhood (mathematics)
- Sphere, a similar geometric shape
- 3-sphere
- n-sphere, or hypersphere
- Alexander horned sphere
- Manifold
- Volume of an n-ball
- Octahedron – a 3-ball in the l_{1} metric.
References
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adding to it. (December 2009) |
- ^ Sūgakkai, Nihon (1993). Encyclopedic Dictionary of Mathematics. MIT Press. ISBN 9780262590204.
- ^ Equation 5.19.4, NIST Digital Library of Mathematical Functions. [1] Release 1.0.6 of 2013-05-06.
- Smith, D. J.; Vamanamurthy, M. K. (1989). "How small is a unit ball?". Mathematics Magazine. 62 (2): 101–107. doi: 10.1080/0025570x.1989.11977419. JSTOR 2690391.
- Dowker, J. S. (1996). "Robin Conditions on the Euclidean ball". Classical and Quantum Gravity. 13 (4): 585–610. arXiv: hep-th/9506042. Bibcode: 1996CQGra..13..585D. doi: 10.1088/0264-9381/13/4/003. S2CID 119438515.
- Gruber, Peter M. (1982). "Isometries of the space of convex bodies contained in a Euclidean ball". Israel Journal of Mathematics. 42 (4): 277–283. doi: 10.1007/BF02761407.