1. Discrete Geometry Pdf Software
2. Discrete Mathematics

Discrete geometry and combinatorial geometry are branches of geometry that study combinatorial properties and constructive methods of discrete geometric objects. Most questions in discrete geometry involve finite or discretesets of basic geometric objects, such as points, lines, planes, circles, spheres, polygons, and so forth. The subject focuses on the combinatorial properties of these objects, such as how they intersect one another, or how they may be arranged to cover a larger object.

Discrete geometry has a large overlap with convex geometry and computational geometry, and is closely related to subjects such as finite geometry, combinatorial optimization, digital geometry, discrete differential geometry, geometric graph theory, toric geometry, and combinatorial topology.

Discrete mathematics. (“Discrete” here is used as the opposite of “continuous”; it is also often used in the more restrictive sense of “finite”.) The aim of this book is not to cover “discrete mathematics” in depth (it should be clear from the description above that such a task would be ill-defined and impossible anyway). Of Discrete Geometry. However, the subject of this Special Issue transcends the (far from narrow themselves) boundaries of Differential and Riemannian Geometry, and includes discretizations of notions and ideas from Integral, Convex, Hyperbolic and Projective Geometry, and even direct.

• 2Topics in discrete geometry

History[edit]

Although polyhedra and tessellations had been studied for many years by people such as Kepler and Cauchy, modern discrete geometry has its origins in the late 19th century. Early topics studied were: the density of circle packings by Thue, projective configurations by Reye and Steinitz, the geometry of numbers by Minkowski, and map colourings by Tait, Heawood, and Hadwiger.

László Fejes Tóth, H.S.M. Coxeter and Paul Erdős, laid the foundations of discrete geometry.^[1][2][3]

Discrete Geometry Pdf Software

Topics in discrete geometry[edit]

Polyhedra and polytopes[edit]

A polytope is a geometric object with flat sides, which exists in any general number of dimensions. A polygon is a polytope in two dimensions, a polyhedron in three dimensions, and so on in higher dimensions (such as a 4-polytope in four dimensions). Some theories further generalize the idea to include such objects as unbounded polytopes (apeirotopes and tessellations), and abstract polytopes.

The following are some of the aspects of polytopes studied in discrete geometry:

Packings, coverings and tilings[edit]

Packings, coverings, and tilings are all ways of arranging uniform objects (typically circles, spheres, or tiles) in a regular way on a surface or manifold.

A sphere packing is an arrangement of non-overlapping spheres within a containing space. The spheres considered are usually all of identical size, and the space is usually three-dimensionalEuclidean space. However, sphere packing problems can be generalised to consider unequal spheres, n-dimensional Euclidean space (where the problem becomes circle packing in two dimensions, or hypersphere packing in higher dimensions) or to non-Euclidean spaces such as hyperbolic space.

A tessellation of a flat surface is the tiling of a plane using one or more geometric shapes, called tiles, with no overlaps and no gaps. In mathematics, tessellations can be generalized to higher dimensions.

Specific topics in this area include:

Structural rigidity and flexibility[edit]

Structural rigidity is a combinatorial theory for predicting the flexibility of ensembles formed by rigid bodies connected by flexible linkages or hinges.

Discrete Mathematics

Topics in this area include:

Incidence structures[edit]

Incidence structures generalize planes (such as affine, projective, and Möbius planes) as can be seen from their axiomatic definitions. Incidence structures also generalize the higher-dimensional analogs and the finite structures are sometimes called finite geometries.

Formally, an incidence structure is a triple

${\displaystyle C=(P,L,I).}$

where P is a set of 'points', L is a set of 'lines' and ${\displaystyle I\subseteq P\times L}$ is the incidence relation. The elements of ${\displaystyle I}$ are called flags. If

${\displaystyle (p,l)\in I,}$

we say that point p 'lies on' line ${\displaystyle l}$.

Topics in this area include:

Oriented matroids[edit]

An oriented matroid is a mathematicalstructure that abstracts the properties of directed graphs and of arrangements of vectors in a vector space over an ordered field (particularly for partially ordered vector spaces).^[4] In comparison, an ordinary (i.e., non-oriented) matroid abstracts the dependence properties that are common both to graphs, which are not necessarily directed, and to arrangements of vectors over fields, which are not necessarily ordered.^[5][6]

Geometric graph theory[edit]

A geometric graph is a graph in which the vertices or edges are associated with geometric objects. Examples include Euclidean graphs, the 1-skeleton of a polyhedron or polytope, intersection graphs, and visibility graphs.

Topics in this area include:

• Voronoi diagrams and Delaunay triangulations

Simplicial complexes[edit]

A simplicial complex is a topological space of a certain kind, constructed by 'gluing together' points, line segments, triangles, and their n-dimensional counterparts (see illustration). Simplicial complexes should not be confused with the more abstract notion of a simplicial set appearing in modern simplicial homotopy theory. The purely combinatorial counterpart to a simplicial complex is an abstract simplicial complex.

Topological combinatorics[edit]

The discipline of combinatorial topology used combinatorial concepts in topology and in the early 20th century this turned into the field of algebraic topology.

In 1978, the situation was reversed – methods from algebraic topology were used to solve a problem in combinatorics – when László Lovász proved the Kneser conjecture, thus beginning the new study of topological combinatorics. Lovász's proof used the Borsuk-Ulam theorem and this theorem retains a prominent role in this new field. This theorem has many equivalent versions and analogs and has been used in the study of fair division problems.

Topics in this area include:

Lattices and discrete groups[edit]

A discrete group is a groupG equipped with the discrete topology. With this topology, G becomes a topological group. A discrete subgroup of a topological group G is a subgroupH whose relative topology is the discrete one. For example, the integers, Z, form a discrete subgroup of the reals, R (with the standard metric topology), but the rational numbers, Q, do not.

A lattice in a locally compacttopological group is a discrete subgroup with the property that the quotient space has finite invariant measure. In the special case of subgroups of Rⁿ, this amounts to the usual geometric notion of a lattice, and both the algebraic structure of lattices and the geometry of the totality of all lattices are relatively well understood. Deep results of Borel, Harish-Chandra, Mostow, Tamagawa, M. S. Raghunathan, Margulis, Zimmer obtained from the 1950s through the 1970s provided examples and generalized much of the theory to the setting of nilpotentLie groups and semisimple algebraic groups over a local field. In the 1990s, Bass and Lubotzky initiated the study of tree lattices, which remains an active research area.

Topics in this area include:

Digital geometry[edit]

Digital geometry deals with discrete sets (usually discrete point sets) considered to be digitizedmodels or images of objects of the 2D or 3D Euclidean space.

Pokemon gba pc download. Simply put, digitizing is replacing an object by a discrete set of its points. The images we see on the TV screen, the raster display of a computer, or in newspapers are in fact digital images.

Its main application areas are computer graphics and image analysis.^[7]

Discrete differential geometry[edit]

Discrete differential geometry is the study of discrete counterparts of notions in differential geometry. Instead of smooth curves and surfaces, there are polygons, meshes, and simplicial complexes. It is used in the study of computer graphics and topological combinatorics.

Topics in this area include:

See also[edit]

• Discrete and Computational Geometry (journal)

Notes[edit]

1. ^Pach, János; et al. (2008), Intuitive Geometry, in Memoriam László Fejes Tóth, Alfréd Rényi Institute of Mathematics
2. ^Katona, G. O. H. (2005), 'Laszlo Fejes Toth – Obituary', Studia Scientiarum Mathematicarum Hungarica, 42 (2): 113
3. ^Bárány, Imre (2010), 'Discrete and convex geometry', in Horváth, János (ed.), A Panorama of Hungarian Mathematics in the Twentieth Century, I, New York: Springer, pp. 431–441, ISBN9783540307211
4. ^Rockafellar 1969. Björner et alia, Chapters 1-3. Bokowski, Chapter 1. Ziegler, Chapter 7.
5. ^Björner et alia, Chapters 1-3. Bokowski, Chapters 1-4.
6. ^Because matroids and oriented matroids are abstractions of other mathematical abstractions, nearly all the relevant books are written for mathematical scientists rather than for the general public. For learning about oriented matroids, a good preparation is to study the textbook on linear optimization by Nering and Tucker, which is infused with oriented-matroid ideas, and then to proceed to Ziegler's lectures on polytopes.
7. ^See Li Chen, Digital and discrete geometry: Theory and Algorithms, Springer, 2014.

References[edit]

• Bezdek, András (2003). Discrete geometry: in honor of W. Kuperberg's 60th birthday. New York, N.Y: Marcel Dekker. ISBN0-8247-0968-3.
• Bezdek, Károly (2010). Classical Topics in Discrete Geometry. New York, N.Y: Springer. ISBN978-1-4419-0599-4.
• Bezdek, Károly (2013). Lectures on Sphere Arrangements - the Discrete Geometric Side. New York, N.Y: Springer. ISBN978-1-4614-8117-1.
• Bezdek, Károly; Deza, Antoine; Ye, Yinyu (2013). Discrete Geometry and Optimization. New York, N.Y: Springer. ISBN978-3-319-00200-2.
• Brass, Peter; Moser, William; Pach, János (2005). Research problems in discrete geometry. Berlin: Springer. ISBN0-387-23815-8.
• Pach, János; Agarwal, Pankaj K. (1995). Combinatorial geometry. New York: Wiley-Interscience. ISBN0-471-58890-3.
• Goodman, Jacob E. and O'Rourke, Joseph (2004). Handbook of Discrete and Computational Geometry, Second Edition. Boca Raton: Chapman & Hall/CRC. ISBN1-58488-301-4.CS1 maint: multiple names: authors list (link)
• Gruber, Peter M. (2007). Convex and Discrete Geometry. Berlin: Springer. ISBN3-540-71132-5.
• Matoušek, Jiří (2002). Lectures on discrete geometry. Berlin: Springer. ISBN0-387-95374-4.
• Vladimir Boltyanski, Horst Martini, Petru S. Soltan (1997). Excursions into Combinatorial Geometry. Springer. ISBN3-540-61341-2.CS1 maint: multiple names: authors list (link)

External links[edit]