Euclidean plane

 ( Dimension ) 

In mathematics, a Euclidean plane is a Euclidean space of dimension two, denoted $\backslash textbf\{E\}^2$ or $\backslash mathbb\{E\}^2$. It is a geometric space in which two are required to determine the position of each point. It is an affine space, which includes in particular the concept of parallel lines. It has also measurement induced by a distance, which allows to define , and angle.

A Euclidean plane with a chosen Cartesian coordinate system is called a Cartesian plane. The set $\backslash mathbb\{R\}^2$ of the ordered pairs of real numbers (the real coordinate plane), equipped with the dot product, is often called the Euclidean plane or standard Euclidean plane, since every Euclidean plane is isomorphic to it.

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History Books I through IV and VI of Euclid's Elements dealt with two-dimensional geometry, developing such notions as similarity of shapes, the Pythagorean theorem (Proposition 47), equality of angles and , parallelism, the sum of the angles in a triangle, and the three cases in which triangles are "equal" (have the same area), among many other topics.

Later, the plane was described in a so-called Cartesian coordinate system, a coordinate system that specifies each point uniquely in a plane by a pair of number coordinates, which are the signed distances from the point to two fixed perpendicular directed lines, measured in the same unit length. Each reference line is called a coordinate axis or just axis of the system, and the point where they meet is its origin, usually at ordered pair (0, 0). The coordinates can also be defined as the positions of the perpendicular projections of the point onto the two axes, expressed as signed distances from the origin.

The idea of this system was developed in 1637 in writings by Descartes and independently by Pierre de Fermat, although Fermat also worked in three dimensions, and did not publish the discovery. Both authors used a single (abscissa) axis in their treatments, with the lengths of measured along lines not-necessarily-perpendicular to that axis.

The concept of using a pair of fixed axes was introduced later, after Descartes' La Géométrie was translated into Latin in 1649 by Frans van Schooten and his students. These commentators introduced several concepts while trying to clarify the ideas contained in Descartes' work.

Later, the plane was thought of as a field, where any two points could be multiplied and, except for 0, divided. This was known as the complex plane. The complex plane is sometimes called the Argand plane because it is used in Argand diagrams. These are named after Jean-Robert Argand (1768–1822), although they were first described by Danish-Norwegian land surveyor and mathematician Caspar Wessel (1745–1818).Wessel's memoir was presented to the Danish Academy in 1797; Argand's paper was published in 1806. (Whittaker & Watson, 1927, p. 9) Argand diagrams are frequently used to plot the positions of the poles and zeroes of a function in the complex plane.

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In geometry

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Coordinate systems In mathematics, analytic geometry (also called Cartesian geometry) describes every point in two-dimensional space by means of two coordinates. Two perpendicular coordinate axis are given which cross each other at the origin. They are usually labeled x and y. Relative to these axes, the position of any point in two-dimensional space is given by an ordered pair of real numbers, each number giving the distance of that point from the origin measured along the given axis, which is equal to the distance of that point from the other axis.

Another widely used coordinate system is the polar coordinate system, which specifies a point in terms of its distance from the origin and its angle relative to a rightward reference ray.

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Embedding in three-dimensional space

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Polytopes In two dimensions, there are infinitely many polytopes: the polygons. The first few regular ones are shown below:

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Convex The Schläfli symbol $\backslash \{n\backslash \}$ represents a Regular polygon.

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Degenerate (spherical) The regular monogon (or henagon) {1} and regular digon {2} can be considered degenerate regular polygons and exist nondegenerately in non-Euclidean spaces like a sphere, torus, or right circular cylinder.

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Non-convex There exist infinitely many non-convex regular polytopes in two dimensions, whose Schläfli symbols consist of rational numbers {n/m}. They are called and share the same vertex arrangements of the convex regular polygons.

In general, for any natural number n, there are n-pointed non-convex regular polygonal stars with Schläfli symbols { n/ m} for all m such that m < n/2 (strictly speaking { n/ m} = { n/( n − m)}) and m and n are coprime.

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Circle The hypersphere in 2 dimensions is a circle, sometimes called a 1-sphere ( S¹) because it is a one-dimensional manifold. In a Euclidean plane, it has the length 2π r and the area of its interior is

$A\; =\; \backslash pi\; r^\{2\}$

where $r$ is the radius.

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Other shapes There are an infinitude of other curved shapes in two dimensions, notably including the : the ellipse, the parabola, and the hyperbola.

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In linear algebra Another mathematical way of viewing two-dimensional space is found in linear algebra, where the idea of independence is crucial. The plane has two dimensions because the length of a rectangle is independent of its width. In the technical language of linear algebra, the plane is two-dimensional because every point in the plane can be described by a linear combination of two independent vectors.

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Dot product, angle, and length The dot product of two vectors and is defined as:

(2026). 9780071543521, McGraw Hill. ISBN 9780071543521

$\backslash mathbf\{A\}\backslash cdot\; \backslash mathbf\{B\}\; =\; A\_1B\_1\; +\; A\_2B\_2$

A vector can be pictured as an arrow. Its magnitude is its length, and its direction is the direction the arrow points. The magnitude of a vector A is denoted by $\backslash |\backslash mathbf\{A\}\backslash |$. In this viewpoint, the dot product of two Euclidean vectors A and B is defined by

$\backslash mathbf\; A\backslash cdot\backslash mathbf\; B\; =\; \backslash |\backslash mathbf\; A\backslash |\backslash ,\backslash |\backslash mathbf\; B\backslash |\backslash cos\backslash theta,$

where θ is the angle between A and B.

The dot product of a vector A by itself is

$\backslash mathbf\; A\backslash cdot\backslash mathbf\; A\; =\; \backslash |\backslash mathbf\; A\backslash |^2,$

which gives

$\backslash |\backslash mathbf\; A\backslash |\; =\; \backslash sqrt\{\backslash mathbf\; A\backslash cdot\backslash mathbf\; A\},$

the formula for the Euclidean length of the vector.

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In calculus

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Gradient In a rectangular coordinate system, the gradient is given by

$\backslash nabla\; f\; =\; \backslash frac\{\backslash partial\; f\}\{\backslash partial\; x\}\; \backslash mathbf\{i\}\; +$

\frac{\partial f}{\partial y} \mathbf{j} \,.

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Line integrals and double integrals For some scalar field f : U ⊆ R ² → R, the line integral along a piecewise smooth curve C ⊂ U is defined as

$\backslash int\backslash limits\_C\; f\backslash ,\; ds\; =\; \backslash int\_a^b\; f(\backslash mathbf\{r\}(t))\; |\backslash mathbf\{r\}\text{'}(t)|\backslash ,dt,$

where r: a, → C is an arbitrary bijective parametrization of the curve C such that r( a) and r( b) give the endpoints of C and .

For a vector field F : U ⊆ R ² → R ², the line integral along a piecewise smooth curve C ⊂ U, in the direction of r, is defined as

$\backslash int\backslash limits\_C\; \backslash mathbf\{F\}(\backslash mathbf\{r\})\backslash cdot\backslash ,d\backslash mathbf\{r\}\; =\; \backslash int\_a^b\; \backslash mathbf\{F\}(\backslash mathbf\{r\}(t))\backslash cdot\backslash mathbf\{r\}\text{'}(t)\backslash ,dt,$

where · is the dot product and r: a, → C is a bijective parametrization of the curve C such that r( a) and r( b) give the endpoints of C.

A double integral refers to an integral within a region D in R² of a function $f(x,y),$ and is usually written as:

$\backslash iint\backslash limits\_D\; f(x,y)\backslash ,dx\backslash ,dy.$

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Fundamental theorem of line integrals The fundamental theorem of line integrals says that a line integral through a gradient field can be evaluated by evaluating the original scalar field at the endpoints of the curve.

Let $\backslash varphi\; :\; U\; \backslash subseteq\; \backslash mathbb\{R\}^2\; \backslash to\; \backslash mathbb\{R\}$. Then

$\backslash varphi\backslash left(\backslash mathbf\{q\}\backslash right)-\backslash varphi\backslash left(\backslash mathbf\{p\}\backslash right)\; =\; \backslash int\_\{\backslash gamma\backslash mathbf\{p\},\backslash mathbf\{q\}\}\; \backslash nabla\backslash varphi(\backslash mathbf\{r\})\backslash cdot\; d\backslash mathbf\{r\}\; ,$

with p, q the endpoints of the curve γ.

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Green's theorem Let C be a positively oriented, piecewise smooth, simple closed curve in a plane, and let D be the region bounded by C. If L and M are functions of ( x, y) defined on an Open set containing D and have continuous partial derivatives there, thenMathematical methods for physics and engineering, K.F. Riley, M.P. Hobson, S.J. Bence, Cambridge University Press, 2010, Vector Analysis (2nd Edition), M.R. Spiegel, S. Lipschutz, D. Spellman, Schaum's Outlines, McGraw Hill (USA), 2009,

$\backslash oint\_\{C\}\; (L\backslash ,\; dx\; +\; M\backslash ,\; dy)\; =\; \backslash iint\_\{D\}\; \backslash left(\backslash frac\{\backslash partial\; M\}\{\backslash partial\; x\}\; -\; \backslash frac\{\backslash partial\; L\}\{\backslash partial\; y\}\backslash right)\backslash ,\; dx\backslash ,\; dy$

where the path of integration along C is counterclockwise.

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In topology In topology, the plane is characterized as being the unique contractible 2-manifold.

Its dimension is characterized by the fact that removing a point from the plane leaves a space that is connected, but not simply connected.

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In graph theory In graph theory, a planar graph is a graph that can be graph embedding in the plane, i.e., it can be drawn on the plane in such a way that its edges intersect only at their endpoints. In other words, it can be drawn in such a way that no edges cross each other.

Richard J. Trudeau (1993). 9780486678702, Dover Pub.. . ISBN 9780486678702

Such a drawing is called a plane graph or planar embedding of the graph. A plane graph can be defined as a planar graph with a mapping from every node to a point on a plane, and from every edge to a plane curve on that plane, such that the extreme points of each curve are the points mapped from its end nodes, and all curves are disjoint except on their extreme points.

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See also

• Geometric space
• Planimetrics

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Works cited

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