Point (geometry)

Source: Wikipedia, the free encyclopedia.
A finite set of points (in red) in the Euclidean plane.

In

dimensional objects, points are usually taken to be the fundamental indivisible elements comprising the space, of which one-dimensional curves, two-dimensional surfaces, and higher-dimensional objects consist; conversely, a point can be determined by the intersection of two curves or three surfaces, called a vertex
or corner.

In classical

geometric figures are made with tools such as a compass, scriber
, or pen, whose pointed tip can mark a small dot or prick a small hole representing a point, or can be drawn across a surface to represent a curve.

Since the advent of analytic geometry, points are often defined or represented in terms of numerical coordinates. In modern mathematics, a space of points is typically treated as a set, a point set.

An isolated point is an element of some subset of points which has some neighborhood containing no other points of the subset.

Points in Euclidean geometry

Points, considered within the framework of

dimension of the space in which the point is located.[3]

Many constructs within Euclidean geometry consist of an

line
is an infinite set of points of the form
where c1 through cn and d are constants and n is the dimension of the space. Similar constructions exist that define the
plane, line segment, and other related concepts.[4] A line segment consisting of only a single point is called a degenerate line segment.[citation needed
]

In addition to defining points and constructs related to points, Euclid also postulated a key idea about points, that any two points can be connected by a straight line.[5] This is easily confirmed under modern extensions of Euclidean geometry, and had lasting consequences at its introduction, allowing the construction of almost all the geometric concepts known at the time. However, Euclid's postulation of points was neither complete nor definitive, and he occasionally assumed facts about points that did not follow directly from his axioms, such as the ordering of points on the line or the existence of specific points. In spite of this, modern expansions of the system serve to remove these assumptions.[citation needed]

Dimension of a point

There are several inequivalent definitions of

dimension
in mathematics. In all of the common definitions, a point is 0-dimensional.

Vector space dimension

The dimension of a vector space is the maximum size of a

linearly independent
subset. In a vector space consisting of a single point (which must be the zero vector 0), there is no linearly independent subset. The zero vector is not itself linearly independent, because there is a non-trivial linear combination making it zero: .

Topological dimension

The topological dimension of a topological space is defined to be the minimum value of n, such that every finite

open cover
of admits a finite open cover of which
refines
in which no point is included in more than n+1 elements. If no such minimal n exists, the space is said to be of infinite covering dimension.

A point is zero-dimensional with respect to the covering dimension because every open cover of the space has a refinement consisting of a single open set.

Hausdorff dimension

Let X be a

infimum of the set of numbers δ ≥ 0 such that there is some (indexed) collection of balls
covering S with ri > 0 for each iI that satisfies

The Hausdorff dimension of X is defined by

A point has Hausdorff dimension 0 because it can be covered by a single ball of arbitrarily small radius.

Geometry without points

Although the notion of a point is generally considered fundamental in mainstream geometry and topology, there are some systems that forgo it, e.g.

region is assumed as a primitive together with the one of inclusion or connection.[7]

Point masses and the Dirac delta function

Often in physics and mathematics, it is useful to think of a point as having non-zero mass or charge (this is especially common in

point charge.[9] It was introduced by theoretical physicist Paul Dirac. In the context of signal processing it is often referred to as the unit impulse symbol (or function).[10] Its discrete analog is the Kronecker delta
function which is usually defined on a finite domain and takes values 0 and 1.

See also

Notes

  1. ^ Ohmer (1969), p. 34–37.
  2. ^ Heath (1956), p. 153.
  3. ^ Silverman (1969), p. 7.
  4. ^ de Laguna (1922).
  5. ^ Heath (1956), p. 154.
  6. ^ Gerla (1985).
  7. ^ Whitehead (1919, 1920, 1929).
  8. ^ Dirac (1958), p. 58, More specifically, see §15. The δ function; Gelfand & Shilov (1964), pp. 1–5, See §§1.1, 1.3; Schwartz (1950), p. 3.
  9. ^ Arfken & Weber (2005), p. 84.
  10. ^ Bracewell (1986), Chapter 5.

References

  • Arfken, George B.; Weber, Hans J. (2005). Mathematical Methods For Physicists International Student Edition (6th ed.). Academic Press.
  • .
  • Clarke, Bowman (1985). "Individuals and Points". Notre Dame Journal of Formal Logic. 26 (1): 61–75.
  • JSTOR 2939504
    .
  • Dirac, Paul (1958). The Principles of Quantum Mechanics (4th ed.). Oxford University Press.
  • .
  • Gerla, G (1995). "Pointless Geometries" (PDF). In Buekenhout, F.; Kantor, W (eds.). Handbook of Incidence Geometry: Buildings and Foundations. North-Holland. p. 1015–1031.
  • .
  • Ohmer, Merlin M. (1969). Elementary Geometry for Teachers. Reading: Addison-Wesley.
    OCLC 00218666
    .
  • Schwartz, Laurent (1950). Théorie des distributions (in French). Vol. 1.
  • Silverman, Richard A. (1969). Modern Calculus and Analytic Geometry. Macmillan.
  • Whitehead, A. N. (1919). An Enquiry Concerning the Principles of Natural Knowledge. Cambridge: University Press.
  • Whitehead, A. N. (1920). The Concept of Nature. Cambridge: University Press.. 2004 paperback, Prometheus Books. Being the 1919 Tarner Lectures delivered at Trinity College.
  • Whitehead, A. N (1929). Process and Reality: An Essay in Cosmology. Free Press.

External links