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Incidence (geometry)

In geometry, an incidence relation is a heterogeneous relation that captures the idea being expressed when phrases such as "a point lies on a line" or "a line is contained in a plane" are used. The most basic incidence relation is that between a point, P, and a line, l, sometimes denoted P I l. If P I l the pair (P, l) is called a flag. There are many expressions used in common language to describe incidence (for example, a line passes through a point, a point lies in a plane, etc.) but the term "incidence" is preferred because it does not have the additional connotations that these other terms have, and it can be used in a symmetric manner. Statements such as "line l1 intersects line l2" are also statements about incidence relations, but in this case, it is because this is a shorthand way of saying that "there exists a point P that is incident with both line l1 and line l2". When one type of object can be thought of as a set of the other type of object (viz., a plane is a set of points) then an incidence relation may be viewed as containment.

Statements such as "any two lines in a plane meet" are called incidence propositions. This particular statement is true in a projective plane, though not true in the Euclidean plane where lines may be parallel. Historically, projective geometry was developed in order to make the propositions of incidence true without exceptions, such as those caused by the existence of parallels. From the point of view of synthetic geometry, projective geometry should be developed using such propositions as axioms. This is most significant for projective planes due to the universal validity of Desargues' theorem in higher dimensions.

In contrast, the analytic approach is to define projective space based on linear algebra and utilizing homogeneous co-ordinates. The propositions of incidence are derived from the following basic result on vector spaces: given subspaces U and W of a (finite-dimensional) vector space V, the dimension of their intersection is dim U + dim W − dim (U + W). Bearing in mind that the geometric dimension of the projective space P(V) associated to V is dim V − 1 and that the geometric dimension of any subspace is positive, the basic proposition of incidence in this setting can take the form: linear subspaces L and M of projective space P meet provided dim L + dim M ≥ dim P.[1]

The following sections are limited to projective planes defined over fields, often denoted by PG(2, F), where F is a field, or P2F. However these computations can be naturally extended to higher-dimensional projective spaces, and the field may be replaced by a division ring (or skewfield) provided that one pays attention to the fact that multiplication is not commutative in that case.

PG(2,F) edit

Let V be the three-dimensional vector space defined over the field F. The projective plane P(V) = PG(2, F) consists of the one-dimensional vector subspaces of V, called points, and the two-dimensional vector subspaces of V, called lines. Incidence of a point and a line is given by containment of the one-dimensional subspace in the two-dimensional subspace.

Fix a basis for V so that we may describe its vectors as coordinate triples (with respect to that basis). A one-dimensional vector subspace consists of a non-zero vector and all of its scalar multiples. The non-zero scalar multiples, written as coordinate triples, are the homogeneous coordinates of the given point, called point coordinates. With respect to this basis, the solution space of a single linear equation {(x, y, z) | ax + by + cz = 0} is a two-dimensional subspace of V, and hence a line of P(V). This line may be denoted by line coordinates [a, b, c], which are also homogeneous coordinates since non-zero scalar multiples would give the same line. Other notations are also widely used. Point coordinates may be written as column vectors, (x, y, z)T, with colons, (x : y : z), or with a subscript, (x, y, z)P. Correspondingly, line coordinates may be written as row vectors, (a, b, c), with colons, [a : b : c] or with a subscript, (a, b, c)L. Other variations are also possible.

Incidence expressed algebraically edit

Given a point P = (x, y, z) and a line l = [a, b, c], written in terms of point and line coordinates, the point is incident with the line (often written as P I l), if and only if,

ax + by + cz = 0.

This can be expressed in other notations as:

 
 

No matter what notation is employed, when the homogeneous coordinates of the point and line are just considered as ordered triples, their incidence is expressed as having their dot product equal 0.

The line incident with a pair of distinct points edit

Let P1 and P2 be a pair of distinct points with homogeneous coordinates (x1, y1, z1) and (x2, y2, z2) respectively. These points determine a unique line l with an equation of the form ax + by + cz = 0 and must satisfy the equations:

ax1 + by1 + cz1 = 0 and
ax2 + by2 + cz2 = 0.

In matrix form this system of simultaneous linear equations can be expressed as:

 

This system has a nontrivial solution if and only if the determinant,

 

Expansion of this determinantal equation produces a homogeneous linear equation, which must be the equation of line l. Therefore, up to a common non-zero constant factor we have l = [a, b, c] where:

a = y1z2 - y2z1,
b = x2z1 - x1z2, and
c = x1y2 - x2y1.

In terms of the scalar triple product notation for vectors, the equation of this line may be written as:

PP1 × P2 = 0,

where P = (x, y, z) is a generic point.

Collinearity edit

Points that are incident with the same line are said to be collinear. The set of all points incident with the same line is called a range.

If P1 = (x1, y1, z1), P2 = (x2, y2, z2), and P3 = (x3, y3, z3), then these points are collinear if and only if

 

i.e., if and only if the determinant of the homogeneous coordinates of the points is equal to zero.

Intersection of a pair of lines edit

Let l1 = [a1, b1, c1] and l2 = [a2, b2, c2] be a pair of distinct lines. Then the intersection of lines l1 and l2 is point a P = (x0, y0, z0) that is the simultaneous solution (up to a scalar factor) of the system of linear equations:

a1x + b1y + c1z = 0 and
a2x + b2y + c2z = 0.

The solution of this system gives:

x0 = b1c2 - b2c1,
y0 = a2c1 - a1c2, and
z0 = a1b2 - a2b1.

Alternatively, consider another line l = [a, b, c] passing through the point P, that is, the homogeneous coordinates of P satisfy the equation:

ax+ by + cz = 0.

Combining this equation with the two that define P, we can seek a non-trivial solution of the matrix equation:

 

Such a solution exists provided the determinant,

 

The coefficients of a, b and c in this equation give the homogeneous coordinates of P.

The equation of the generic line passing through the point P in scalar triple product notation is:

ll1 × l2 = 0.

Concurrence edit

Lines that meet at the same point are said to be concurrent. The set of all lines in a plane incident with the same point is called a pencil of lines centered at that point. The computation of the intersection of two lines shows that the entire pencil of lines centered at a point is determined by any two of the lines that intersect at that point. It immediately follows that the algebraic condition for three lines, [a1, b1, c1], [a2, b2, c2], [a3, b3, c3] to be concurrent is that the determinant,

 

See also edit

References edit

  1. ^ Joel G. Broida & S. Gill Williamson (1998) A Comprehensive Introduction to Linear Algebra, Theorem 2.11, p 86, Addison-Wesley ISBN 0-201-50065-5. The theorem says that dim (L + M) = dim L + dim M − dim (LM). Thus dim L + dim M > dim P implies dim (LM) > 0.
  • Harold L. Dorwart (1966) The Geometry of Incidence, Prentice Hall.

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In geometry an incidence relation is a heterogeneous relation that captures the idea being expressed when phrases such as a point lies on a line or a line is contained in a plane are used The most basic incidence relation is that between a point P and a line l sometimes denoted P I l If P I l the pair P l is called a flag There are many expressions used in common language to describe incidence for example a line passes through a point a point lies in a plane etc but the term incidence is preferred because it does not have the additional connotations that these other terms have and it can be used in a symmetric manner Statements such as line l1 intersects line l2 are also statements about incidence relations but in this case it is because this is a shorthand way of saying that there exists a point P that is incident with both line l1 and line l2 When one type of object can be thought of as a set of the other type of object viz a plane is a set of points then an incidence relation may be viewed as containment Statements such as any two lines in a plane meet are called incidence propositions This particular statement is true in a projective plane though not true in the Euclidean plane where lines may be parallel Historically projective geometry was developed in order to make the propositions of incidence true without exceptions such as those caused by the existence of parallels From the point of view of synthetic geometry projective geometry should be developed using such propositions as axioms This is most significant for projective planes due to the universal validity of Desargues theorem in higher dimensions In contrast the analytic approach is to define projective space based on linear algebra and utilizing homogeneous co ordinates The propositions of incidence are derived from the following basic result on vector spaces given subspaces U and W of a finite dimensional vector space V the dimension of their intersection is dim U dim W dim U W Bearing in mind that the geometric dimension of the projective space P V associated to V is dim V 1 and that the geometric dimension of any subspace is positive the basic proposition of incidence in this setting can take the form linear subspaces L and M of projective space P meet provided dim L dim M dim P 1 The following sections are limited to projective planes defined over fields often denoted by PG 2 F where F is a field or P2F However these computations can be naturally extended to higher dimensional projective spaces and the field may be replaced by a division ring or skewfield provided that one pays attention to the fact that multiplication is not commutative in that case Contents 1 PG 2 F 2 Incidence expressed algebraically 3 The line incident with a pair of distinct points 3 1 Collinearity 4 Intersection of a pair of lines 4 1 Concurrence 5 See also 6 ReferencesPG 2 F editMain article Homogeneous coordinates Let V be the three dimensional vector space defined over the field F The projective plane P V PG 2 F consists of the one dimensional vector subspaces of V called points and the two dimensional vector subspaces of V called lines Incidence of a point and a line is given by containment of the one dimensional subspace in the two dimensional subspace Fix a basis for V so that we may describe its vectors as coordinate triples with respect to that basis A one dimensional vector subspace consists of a non zero vector and all of its scalar multiples The non zero scalar multiples written as coordinate triples are the homogeneous coordinates of the given point called point coordinates With respect to this basis the solution space of a single linear equation x y z ax by cz 0 is a two dimensional subspace of V and hence a line of P V This line may be denoted by line coordinates a b c which are also homogeneous coordinates since non zero scalar multiples would give the same line Other notations are also widely used Point coordinates may be written as column vectors x y z T with colons x y z or with a subscript x y z P Correspondingly line coordinates may be written as row vectors a b c with colons a b c or with a subscript a b c L Other variations are also possible Incidence expressed algebraically editGiven a point P x y z and a line l a b c written in terms of point and line coordinates the point is incident with the line often written as P I l if and only if ax by cz 0 dd This can be expressed in other notations as a x b y c z a b c x y z a b c L x y z P displaystyle ax by cz a b c cdot x y z a b c L cdot x y z P nbsp a b c x y z a b c x y z 0 displaystyle a b c cdot x y z a b c left begin matrix x y z end matrix right 0 nbsp No matter what notation is employed when the homogeneous coordinates of the point and line are just considered as ordered triples their incidence is expressed as having their dot product equal 0 The line incident with a pair of distinct points editLet P1 and P2 be a pair of distinct points with homogeneous coordinates x1 y1 z1 and x2 y2 z2 respectively These points determine a unique line l with an equation of the form ax by cz 0 and must satisfy the equations ax1 by1 cz1 0 and ax2 by2 cz2 0 In matrix form this system of simultaneous linear equations can be expressed as x y z x 1 y 1 z 1 x 2 y 2 z 2 a b c 0 0 0 displaystyle left begin matrix x amp y amp z x 1 amp y 1 amp z 1 x 2 amp y 2 amp z 2 end matrix right left begin matrix a b c end matrix right left begin matrix 0 0 0 end matrix right nbsp This system has a nontrivial solution if and only if the determinant x y z x 1 y 1 z 1 x 2 y 2 z 2 0 displaystyle left begin matrix x amp y amp z x 1 amp y 1 amp z 1 x 2 amp y 2 amp z 2 end matrix right 0 nbsp Expansion of this determinantal equation produces a homogeneous linear equation which must be the equation of line l Therefore up to a common non zero constant factor we have l a b c where a y1z2 y2z1 b x2z1 x1z2 and c x1y2 x2y1 In terms of the scalar triple product notation for vectors the equation of this line may be written as P P1 P2 0 where P x y z is a generic point Collinearity edit Main article Collinear Points that are incident with the same line are said to be collinear The set of all points incident with the same line is called a range If P1 x1 y1 z1 P2 x2 y2 z2 and P3 x3 y3 z3 then these points are collinear if and only if x 1 y 1 z 1 x 2 y 2 z 2 x 3 y 3 z 3 0 displaystyle left begin matrix x 1 amp y 1 amp z 1 x 2 amp y 2 amp z 2 x 3 amp y 3 amp z 3 end matrix right 0 nbsp i e if and only if the determinant of the homogeneous coordinates of the points is equal to zero Intersection of a pair of lines editMain article Line line intersection Let l1 a1 b1 c1 and l2 a2 b2 c2 be a pair of distinct lines Then the intersection of lines l1 and l2 is point a P x0 y0 z0 that is the simultaneous solution up to a scalar factor of the system of linear equations a1x b1y c1z 0 and a2x b2y c2z 0 The solution of this system gives x0 b1c2 b2c1 y0 a2c1 a1c2 and z0 a1b2 a2b1 Alternatively consider another line l a b c passing through the point P that is the homogeneous coordinates of P satisfy the equation ax by cz 0 Combining this equation with the two that define P we can seek a non trivial solution of the matrix equation a b c a 1 b 1 c 1 a 2 b 2 c 2 x y z 0 0 0 displaystyle left begin matrix a amp b amp c a 1 amp b 1 amp c 1 a 2 amp b 2 amp c 2 end matrix right left begin matrix x y z end matrix right left begin matrix 0 0 0 end matrix right nbsp Such a solution exists provided the determinant a b c a 1 b 1 c 1 a 2 b 2 c 2 0 displaystyle left begin matrix a amp b amp c a 1 amp b 1 amp c 1 a 2 amp b 2 amp c 2 end matrix right 0 nbsp The coefficients of a b and c in this equation give the homogeneous coordinates of P The equation of the generic line passing through the point P in scalar triple product notation is l l1 l2 0 Concurrence edit Lines that meet at the same point are said to be concurrent The set of all lines in a plane incident with the same point is called a pencil of lines centered at that point The computation of the intersection of two lines shows that the entire pencil of lines centered at a point is determined by any two of the lines that intersect at that point It immediately follows that the algebraic condition for three lines a1 b1 c1 a2 b2 c2 a3 b3 c3 to be concurrent is that the determinant a 1 b 1 c 1 a 2 b 2 c 2 a 3 b 3 c 3 0 displaystyle left begin matrix a 1 amp b 1 amp c 1 a 2 amp b 2 amp c 2 a 3 amp b 3 amp c 3 end matrix right 0 nbsp See also editMenelaus theorem Ceva s theorem Concyclic Incidence matrix Incidence algebra Incidence structure Incidence geometry Levi graph Hilbert s axiomsReferences edit Joel G Broida amp S Gill Williamson 1998 A Comprehensive Introduction to Linear Algebra Theorem 2 11 p 86 Addison Wesley ISBN 0 201 50065 5 The theorem says that dim L M dim L dim M dim L M Thus dim L dim M gt dim P implies dim L M gt 0 Harold L Dorwart 1966 The Geometry of Incidence Prentice Hall Retrieved from https en wikipedia org w index php title Incidence geometry amp oldid 1142959308, wikipedia, wiki, book, books, library,

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