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Radon's theorem

In geometry, Radon's theorem on convex sets, published by Johann Radon in 1921, states that any set of d + 2 points in Rd can be partitioned into two sets whose convex hulls intersect. A point in the intersection of these convex hulls is called a Radon point of the set.

For example, in the case d = 2, any set of four points in the Euclidean plane can be partitioned in one of two ways. It may form a triple and a singleton, where the convex hull of the triple (a triangle) contains the singleton; alternatively, it may form two pairs of points that form the endpoints of two intersecting line segments.

Proof and construction

 
Two sets of four points in the plane (the vertices of a square and an equilateral triangle with its centroid), the multipliers solving the system of three linear equations for these points, and the Radon partitions formed by separating the points with positive multipliers from the points with negative multipliers.

Consider any set   of d + 2 points in d-dimensional space. Then there exists a set of multipliers a1, ..., ad + 2, not all of which are zero, solving the system of linear equations

 

because there are d + 2 unknowns (the multipliers) but only d + 1 equations that they must satisfy (one for each coordinate of the points, together with a final equation requiring the sum of the multipliers to be zero). Fix some particular nonzero solution a1, ..., ad + 2. Let   be the set of points with positive multipliers, and let   be the set of points with multipliers that are negative or zero. Then   and   form the required partition of the points into two subsets with intersecting convex hulls.

The convex hulls of   and   must intersect, because they both contain the point

 

where

 

The left hand side of the formula for   expresses this point as a convex combination of the points in  , and the right hand side expresses it as a convex combination of the points in  . Therefore,   belongs to both convex hulls, completing the proof.

This proof method allows for the efficient construction of a Radon point, in an amount of time that is polynomial in the dimension, by using Gaussian elimination or other efficient algorithms to solve the system of equations for the multipliers.[1]

Topological Radon theorem

A topological generalization of Radon's theorem states that, if ƒ is any continuous function from a (d + 1)-dimensional simplex to d-dimensional space, then the simplex has two disjoint faces whose images under ƒ are not disjoint.[2] Radon's theorem itself can be interpreted as the special case in which ƒ is the unique affine map that takes the vertices of the simplex to a given set of d + 2 points in d-dimensional space.

More generally, if K is any (d + 1)-dimensional compact convex set, and ƒ is any continuous function from K to d-dimensional space, then there exists a linear function g such that some point where g achieves its maximum value and some other point where g achieves its minimum value are mapped by ƒ to the same point. In the case where K is a simplex, the two simplex faces formed by the maximum and minimum points of g must then be two disjoint faces whose images have a nonempty intersection. This same general statement, when applied to a hypersphere instead of a simplex, gives the Borsuk–Ulam theorem, that ƒ must map two opposite points of the sphere to the same point.[2]

Applications

The Radon point of any four points in the plane is their geometric median, the point that minimizes the sum of distances to the other points.[3][4]

Radon's theorem forms a key step of a standard proof of Helly's theorem on intersections of convex sets;[5] this proof was the motivation for Radon's original discovery of Radon's theorem.

Radon's theorem can also be used to calculate the VC dimension of d-dimensional points with respect to linear separations. There exist sets of d + 1 points (for instance, the points of a regular simplex) such that every two nonempty subsets can be separated from each other by a hyperplane. However, no matter which set of d + 2 points is given, the two subsets of a Radon partition cannot be linearly separated. Therefore, the VC dimension of this system is exactly d + 1.[6]

A randomized algorithm that repeatedly replaces sets of d + 2 points by their Radon point can be used to compute an approximation to a centerpoint of any point set, in an amount of time that is polynomial in both the number of points and the dimension.[1]

Related concepts

The Radon point of three points in a one-dimensional space is just their median. The geometric median of a set of points is the point minimizing the sum of distances to the points in the set; it generalizes the one-dimensional median and has been studied both from the point of view of facility location and robust statistics. For sets of four points in the plane, the geometric median coincides with the Radon point.

Another generalization for partition into r sets was given by Helge Tverberg (1966) and is now known as Tverberg's theorem. It states that for any set of

 

points in Euclidean d-space, there is a partition into r subsets whose convex hulls intersect in at least one common point.

Carathéodory's theorem states that any point in the convex hull of some set of points is also within the convex hull of a subset of at most d + 1 of the points; that is, that the given point is part of a Radon partition in which it is a singleton. One proof of Carathéodory's theorem uses a technique of examining solutions to systems of linear equations, similar to the proof of Radon's theorem, to eliminate one point at a time until at most d + 1 remain.

Concepts related to Radon's theorem have also been considered for convex geometries, families of finite sets with the properties that the intersection of any two sets in the family remains in the family, and that the empty set and the union of all the sets belongs to the family. In this more general context, the convex hull of a set S is the intersection of the family members that contain S, and the Radon number of a space is the smallest r such that any r points have two subsets whose convex hulls intersect. Similarly, one can define the Helly number h and the Carathéodory number c by analogy to their definitions for convex sets in Euclidean spaces, and it can be shown that these numbers satisfy the inequalities h < r ≤ ch + 1.[7]

In an arbitrary undirected graph, one may define a convex set to be a set of vertices that includes every induced path connecting a pair of vertices in the set. With this definition, every set of ω + 1 vertices in the graph can be partitioned into two subsets whose convex hulls intersect, and ω + 1 is the minimum number for which this is possible, where ω is the clique number of the given graph.[8] For related results involving shortest paths instead of induced paths see Chepoi (1986) and Bandelt & Pesch (1989).

Notes

  1. ^ a b Clarkson et al. (1996).
  2. ^ a b Bajmóczy & Bárány (1979); Matoušek (2003).
  3. ^ Cieslik, Dietmar (2006), Shortest Connectivity: An Introduction with Applications in Phylogeny, Combinatorial Optimization, vol. 17, Springer, p. 6, ISBN 9780387235394.
  4. ^ Plastria, Frank (2006), "Four-point Fermat location problems revisited. New proofs and extensions of old results" (PDF), IMA Journal of Management Mathematics, 17 (4): 387–396, doi:10.1093/imaman/dpl007, Zbl 1126.90046.
  5. ^ Matoušek (2002), p. 11.
  6. ^ , Lecture Notes by Marco Pellegrini, 2004.
  7. ^ Kay & Womble (1971).
  8. ^ Duchet (1987).

References

radon, theorem, geometry, convex, sets, published, johann, radon, 1921, states, that, points, partitioned, into, sets, whose, convex, hulls, intersect, point, intersection, these, convex, hulls, called, radon, point, example, case, four, points, euclidean, pla. In geometry Radon s theorem on convex sets published by Johann Radon in 1921 states that any set of d 2 points in Rd can be partitioned into two sets whose convex hulls intersect A point in the intersection of these convex hulls is called a Radon point of the set For example in the case d 2 any set of four points in the Euclidean plane can be partitioned in one of two ways It may form a triple and a singleton where the convex hull of the triple a triangle contains the singleton alternatively it may form two pairs of points that form the endpoints of two intersecting line segments Contents 1 Proof and construction 2 Topological Radon theorem 3 Applications 4 Related concepts 5 Notes 6 ReferencesProof and construction Edit Two sets of four points in the plane the vertices of a square and an equilateral triangle with its centroid the multipliers solving the system of three linear equations for these points and the Radon partitions formed by separating the points with positive multipliers from the points with negative multipliers Consider any set X x 1 x 2 x d 2 R d displaystyle X x 1 x 2 dots x d 2 subset mathbf R d of d 2 points in d dimensional space Then there exists a set of multipliers a1 ad 2 not all of which are zero solving the system of linear equations i 1 d 2 a i x i 0 i 1 d 2 a i 0 displaystyle sum i 1 d 2 a i x i 0 quad sum i 1 d 2 a i 0 because there are d 2 unknowns the multipliers but only d 1 equations that they must satisfy one for each coordinate of the points together with a final equation requiring the sum of the multipliers to be zero Fix some particular nonzero solution a1 ad 2 Let I X displaystyle I subseteq X be the set of points with positive multipliers and let J X I displaystyle J X setminus I be the set of points with multipliers that are negative or zero Then I displaystyle I and J displaystyle J form the required partition of the points into two subsets with intersecting convex hulls The convex hulls of I displaystyle I and J displaystyle J must intersect because they both contain the point p x i I a i A x i x j J a j A x j displaystyle p sum x i in I frac a i A x i sum x j in J frac a j A x j where A x i I a i x j J a j displaystyle A sum x i in I a i sum x j in J a j The left hand side of the formula for p displaystyle p expresses this point as a convex combination of the points in I displaystyle I and the right hand side expresses it as a convex combination of the points in J displaystyle J Therefore p displaystyle p belongs to both convex hulls completing the proof This proof method allows for the efficient construction of a Radon point in an amount of time that is polynomial in the dimension by using Gaussian elimination or other efficient algorithms to solve the system of equations for the multipliers 1 Topological Radon theorem EditA topological generalization of Radon s theorem states that if ƒ is any continuous function from a d 1 dimensional simplex to d dimensional space then the simplex has two disjoint faces whose images under ƒ are not disjoint 2 Radon s theorem itself can be interpreted as the special case in which ƒ is the unique affine map that takes the vertices of the simplex to a given set of d 2 points in d dimensional space More generally if K is any d 1 dimensional compact convex set and ƒ is any continuous function from K to d dimensional space then there exists a linear function g such that some point where g achieves its maximum value and some other point where g achieves its minimum value are mapped by ƒ to the same point In the case where K is a simplex the two simplex faces formed by the maximum and minimum points of g must then be two disjoint faces whose images have a nonempty intersection This same general statement when applied to a hypersphere instead of a simplex gives the Borsuk Ulam theorem that ƒ must map two opposite points of the sphere to the same point 2 Applications EditThe Radon point of any four points in the plane is their geometric median the point that minimizes the sum of distances to the other points 3 4 Radon s theorem forms a key step of a standard proof of Helly s theorem on intersections of convex sets 5 this proof was the motivation for Radon s original discovery of Radon s theorem Radon s theorem can also be used to calculate the VC dimension of d dimensional points with respect to linear separations There exist sets of d 1 points for instance the points of a regular simplex such that every two nonempty subsets can be separated from each other by a hyperplane However no matter which set of d 2 points is given the two subsets of a Radon partition cannot be linearly separated Therefore the VC dimension of this system is exactly d 1 6 A randomized algorithm that repeatedly replaces sets of d 2 points by their Radon point can be used to compute an approximation to a centerpoint of any point set in an amount of time that is polynomial in both the number of points and the dimension 1 Related concepts EditThe Radon point of three points in a one dimensional space is just their median The geometric median of a set of points is the point minimizing the sum of distances to the points in the set it generalizes the one dimensional median and has been studied both from the point of view of facility location and robust statistics For sets of four points in the plane the geometric median coincides with the Radon point Another generalization for partition into r sets was given by Helge Tverberg 1966 and is now known as Tverberg s theorem It states that for any set of d 1 r 1 1 displaystyle d 1 r 1 1 points in Euclidean d space there is a partition into r subsets whose convex hulls intersect in at least one common point Caratheodory s theorem states that any point in the convex hull of some set of points is also within the convex hull of a subset of at most d 1 of the points that is that the given point is part of a Radon partition in which it is a singleton One proof of Caratheodory s theorem uses a technique of examining solutions to systems of linear equations similar to the proof of Radon s theorem to eliminate one point at a time until at most d 1 remain Concepts related to Radon s theorem have also been considered for convex geometries families of finite sets with the properties that the intersection of any two sets in the family remains in the family and that the empty set and the union of all the sets belongs to the family In this more general context the convex hull of a set S is the intersection of the family members that contain S and the Radon number of a space is the smallest r such that any r points have two subsets whose convex hulls intersect Similarly one can define the Helly number h and the Caratheodory number c by analogy to their definitions for convex sets in Euclidean spaces and it can be shown that these numbers satisfy the inequalities h lt r ch 1 7 In an arbitrary undirected graph one may define a convex set to be a set of vertices that includes every induced path connecting a pair of vertices in the set With this definition every set of w 1 vertices in the graph can be partitioned into two subsets whose convex hulls intersect and w 1 is the minimum number for which this is possible where w is the clique number of the given graph 8 For related results involving shortest paths instead of induced paths see Chepoi 1986 and Bandelt amp Pesch 1989 Notes Edit a b Clarkson et al 1996 a b Bajmoczy amp Barany 1979 Matousek 2003 Cieslik Dietmar 2006 Shortest Connectivity An Introduction with Applications in Phylogeny Combinatorial Optimization vol 17 Springer p 6 ISBN 9780387235394 Plastria Frank 2006 Four point Fermat location problems revisited New proofs and extensions of old results PDF IMA Journal of Management Mathematics 17 4 387 396 doi 10 1093 imaman dpl007 Zbl 1126 90046 Matousek 2002 p 11 Epsilon nets and VC dimension Lecture Notes by Marco Pellegrini 2004 Kay amp Womble 1971 Duchet 1987 References EditBajmoczy E G Barany I 1979 A common generalization of Borsuk s and Radon s theorem Acta Mathematica Hungarica 34 3 4 347 350 doi 10 1007 BF01896131 Bandelt H J Pesch E 1989 A Radon theorem for Helly graphs Archiv der Mathematik 52 1 95 98 doi 10 1007 BF01197978 Chepoi V D 1986 Some properties of the d convexity in triangulated graphs Mat Issled in Russian 87 164 177 As cited by Bandelt amp Pesch 1989 Clarkson Kenneth L Eppstein David Miller Gary L Sturtivant Carl Teng Shang Hua 1996 Approximating center points with iterated Radon points PDF International Journal of Computational Geometry amp Applications 6 3 357 377 doi 10 1142 s021819599600023x MR 1409651 Danzer L Grunbaum B Klee V 1963 Helly s theorem and its relatives Convexity Proc Symp Pure Math vol 7 American Mathematical Society pp 101 179 Duchet Pierre 1987 Convex sets in graphs II Minimal path convexity Journal of Combinatorial Theory Series A 44 3 307 316 doi 10 1016 0095 8956 88 90039 1 As cited by Bandelt amp Pesch 1989 Eckhoff J 1993 Helly Radon and Caratheodory type theorems Handbook of Convex Geometry vol A B Amsterdam North Holland pp 389 448 Kay David C Womble Eugene W 1971 Axiomatic convexity theory and relationships between the Caratheodory Helly and Radon numbers Pacific Journal of Mathematics 38 2 471 485 doi 10 2140 pjm 1971 38 471 MR 0310766 Matousek J 2002 1 3 Radon s Lemma and Helly s Theorem Lectures on Discrete Geometry Graduate Texts in Mathematics vol 212 Springer Verlag pp 9 12 ISBN 978 0 387 95373 1 Matousek J 2003 5 1 Nonembeddability Theorems An Introduction Using the Borsuk Ulam Theorem Lectures on Topological Methods in Combinatorics and Geometry Springer Verlag pp 88 92 Radon J 1921 Mengen konvexer Korper die einen gemeinsamen Punkt enthalten Mathematische Annalen 83 1 2 113 115 doi 10 1007 BF01464231 Tverberg H 1966 A generalization of Radon s theorem PDF Journal of the London Mathematical Society 41 123 128 doi 10 1112 jlms s1 41 1 123 dead link Retrieved from https en wikipedia org w index php title Radon 27s theorem amp oldid 1039440194, wikipedia, wiki, book, books, library,

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