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Perimeter
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A perimeter is the length of a closed boundary that encompasses, surrounds, or outlines either a two-dimensional shape or a one-dimensional line. The perimeter of a circle or an ellipse is called its circumference.
Calculating the perimeter has several practical applications. A calculated perimeter is the length of fence required to surround a yard or garden. The perimeter of a wheel/circle (its circumference) describes how far it will roll in one revolution. Similarly, the amount of string wound around a spool is related to the spool's perimeter; if the length of the string was exact, it would equal the perimeter.
Formulas
[edit]| shape | formula | variables |
|---|---|---|
| circle | where is the radius of the circle and is the diameter. | |
| semicircle | where is the radius of the semicircle. | |
| triangle | where , and are the lengths of the sides of the triangle. | |
| square/rhombus | where is the side length. | |
| rectangle | where is the length and is the width. | |
| equilateral polygon | where is the number of sides and is the length of one of the sides. | |
| regular polygon | where is the number of sides and is the distance between center of the polygon and one of the vertices of the polygon. | |
| general polygon | where is the length of the -th (1st, 2nd, 3rd ... nth) side of an n-sided polygon. |

(drawing with )
The perimeter is the distance around a shape. Perimeters for more general shapes can be calculated, as any path, with , where is the length of the path and is an infinitesimal line element. Both of these must be replaced by algebraic forms in order to be practically calculated. If the perimeter is given as a closed piecewise smooth plane curve with
then its length can be computed as follows:
A generalized notion of perimeter, which includes hypersurfaces bounding volumes in -dimensional Euclidean spaces, is described by the theory of Caccioppoli sets.
Polygons
[edit]
Polygons are fundamental to determining perimeters, not only because they are the simplest shapes but also because the perimeters of many shapes are calculated by approximating them with sequences of polygons tending to these shapes. The first mathematician known to have used this kind of reasoning is Archimedes, who approximated the perimeter of a circle by surrounding it with regular polygons.[1]
The perimeter of a polygon equals the sum of the lengths of its sides (edges). In particular, the perimeter of a rectangle of width and length equals
An equilateral polygon is a polygon which has all sides of the same length (for example, a rhombus is a 4-sided equilateral polygon). To calculate the perimeter of an equilateral polygon, one must multiply the common length of the sides by the number of sides.
A regular polygon may be characterized by the number of its sides and by its circumradius, that is to say, the constant distance between its centre and each of its vertices. The length of its sides can be calculated using trigonometry. If R is a regular polygon's radius and n is the number of its sides, then its perimeter is
A splitter of a triangle is a cevian (a segment from a vertex to the opposite side) that divides the perimeter into two equal lengths, this common length being called the semiperimeter of the triangle. The three splitters of a triangle all intersect each other at the Nagel point of the triangle.
A cleaver of a triangle is a segment from the midpoint of a side of a triangle to the opposite side such that the perimeter is divided into two equal lengths. The three cleavers of a triangle all intersect each other at the triangle's Spieker center.
Circumference of a circle
[edit]
The perimeter of a circle, often called the circumference, is proportional to its diameter and its radius. That is to say, there exists a constant number pi, π (the Greek p for perimeter), such that if P is the circle's perimeter and D its diameter then,
In terms of the radius r of the circle, this formula becomes,
To calculate a circle's perimeter, knowledge of its radius or diameter and the number π suffices. The problem is that π is not rational (it cannot be expressed as the quotient of two integers), nor is it algebraic (it is not a root of a polynomial equation with rational coefficients). So, obtaining an accurate approximation of π is important in the calculation. The computation of the digits of π is relevant to many fields, such as mathematical analysis, algorithmics and computer science.
Perception of perimeter
[edit]The perimeter and the area are two main measures of geometric figures. Confusing them is a common error, as well as believing that the greater one of them is, the greater the other must be. Indeed, a commonplace observation is that an enlargement (or a reduction) of a shape make its area grow (or decrease) as well as its perimeter. For example, if a field is drawn on a 1/10,000 scale map, the actual field perimeter can be calculated multiplying the drawing perimeter by 10,000. The real area is 10,0002 times the area of the shape on the map. Nevertheless, there is no relation between the area and the perimeter of an ordinary shape. For example, the perimeter of a rectangle of width 0.001 and length 1000 is slightly above 2000, while the perimeter of a rectangle of width 0.5 and length 2 is 5. Both areas are equal to 1.
Proclus (5th century) reported that Greek peasants "fairly" parted fields relying on their perimeters.[2] However, a field's production is proportional to its area, not to its perimeter, so many naive peasants may have gotten fields with long perimeters but small areas (thus, few crops).
If one removes a piece from a figure, its area decreases but its perimeter may not. The convex hull of a figure may be visualized as the shape formed by a rubber band stretched around it.[3] In the animated picture on the left, all the figures have the same convex hull; the big, first hexagon.
Isoperimetry
[edit]The isoperimetric problem is to determine a figure with the largest area, amongst those having a given perimeter. The solution is intuitive; it is the circle. In particular, this can be used to explain why drops of fat on a broth surface are circular.
This problem may seem simple, but its mathematical proof requires some sophisticated theorems. The isoperimetric problem is sometimes simplified by restricting the type of figures to be used. In particular, to find the quadrilateral, or the triangle, or another particular figure, with the largest area amongst those with the same shape having a given perimeter. The solution to the quadrilateral isoperimetric problem is the square, and the solution to the triangle problem is the equilateral triangle. In general, the polygon with n sides having the largest area and a given perimeter is the regular polygon, which is closer to being a circle than is any irregular polygon with the same number of sides.
Etymology
[edit]The word comes from the Greek περίμετρος perimetros, from περί peri "around" and μέτρον metron "measure".
See also
[edit]References
[edit]- ^ Varberg, Dale E.; Purcell, Edwin J.; Rigdon, Steven E. (2007). Calculus (9th ed.). Pearson Prentice Hall. p. 215–216. ISBN 978-0131469686.
- ^ Heath, T. (1981). A History of Greek Mathematics. Vol. 2. Dover Publications. p. 206. ISBN 0-486-24074-6.
- ^ de Berg, M.; van Kreveld, M.; Overmars, Mark; Schwarzkopf, O. (2008). Computational Geometry: Algorithms and Applications (3rd ed.). Springer. p. 3.
External links
[edit]Perimeter
View on Grokipedia| Shape | Perimeter Formula | Notes/Source |
|---|---|---|
| Square | = side length[13] | |
| Rectangle | = length, = width[6] | |
| Triangle | Sum of sides [7] | |
| Circle | Circumference; = radius[9] | |
| Regular Polygon | = number of sides, = side length[14] |
Fundamentals
Definition
The perimeter of a plane figure is the total length of the boundary that encloses it.[15] This boundary length distinguishes perimeter from area, which instead measures the two-dimensional space or interior region occupied by the figure.[15] In geometric contexts, perimeter relies on the fundamental concept of length as a one-dimensional measure applied to the enclosing outline of a shape.[2] For simple closed curves—continuous paths that do not intersect themselves and form a bounded region—the perimeter is the arc length of that curve, assuming it is rectifiable with finite total length.[1] Additionally, perimeter exhibits additivity for composite shapes formed by non-overlapping, disjoint components, where the total perimeter equals the sum of the individual perimeters.[6] A representative example is the perimeter of a square, which is the sum of its four equal side lengths.[6] Intuitively, the perimeter can be visualized as the length of a string wrapped tightly around the boundary of the figure.[16] Perimeter is quantified using linear units such as meters or inches, consistent with its role as a boundary measure.[6]Units and Measurement
Perimeter, as a measure of boundary length, is quantified using standard units of length from the International System of Units (SI) and customary systems. The primary SI unit is the meter (m), defined as the distance light travels in vacuum in 1/299,792,458 of a second.[17] In the imperial system, common units include the foot (ft) and inch (in), where 1 foot equals 12 inches.[18] Conversions between these systems are essential for practical applications across regions. For instance, 1 meter equals exactly 3.280839895 feet, derived from the exact relation 1 foot = 0.3048 meter.[19] Similarly, 1 foot equals 0.3048 meter, facilitating accurate translations in engineering and construction.[19] Measurement techniques for perimeter vary by shape and context. Direct methods involve physical tools like rulers or tape measures to gauge straight-line segments, providing straightforward assessments for simple boundaries.[20] Indirect methods, such as wheel odometers or trundle wheels, roll along paths to accumulate distance, ideal for irregular or elongated perimeters like fences or tracks. For complex irregular shapes, approximations may employ string laid along the boundary followed by straightening and measuring, or grid-based estimation where boundary intersections with a grid yield an approximate length via counting.[21] Precision in perimeter measurements depends on significant figures and error management. Significant figures indicate the reliability of a measurement; for example, a length reported as 5.23 meters implies precision to the nearest 0.01 meter, with three significant figures.[22] Errors arise from instrument limitations, such as ruler parallax or odometer slippage, and approximations for irregular shapes can introduce up to 5-10% deviation depending on boundary complexity.[23] In calculations, results should retain significant figures matching the least precise input to avoid false accuracy.[22] Perimeter scales linearly under similarity transformations, where figures are enlarged or reduced proportionally. If linear dimensions are multiplied by a scale factor , the perimeter multiplies by ; for example, doubling all sides () doubles the perimeter.[24] This property holds for any similar shapes, aiding applications in map scaling and model design.[24]Polygonal Perimeters
Regular Polygons
A regular polygon is a closed figure with equal sides and equal interior angles, each measuring radians. The perimeter of such a polygon, defined as the total length of its boundary, is straightforwardly calculated as the product of the number of sides and the length of one side: , where is the side length.[25][26] To relate the perimeter to the circumradius (the radius of the circumscribed circle passing through all vertices), consider the central angle subtended by each side, which is radians. Each side corresponds to a chord of this circle, with length , derived from the chord length formula in circle geometry. Substituting yields the perimeter formula . Alternatively, using the apothem (distance from center to a side's midpoint), , but the sine-based expression is more direct for perimeter computation.[26][25] For common cases, an equilateral triangle () has perimeter . A square () has . For a regular pentagon (), , where . These formulas scale linearly with or .[26][25] As increases, the regular polygon's perimeter approaches the circumference of the circumscribed circle, , since , making the polygon an increasingly accurate polygonal approximation to the circle.[27][28]Irregular Polygons
Irregular polygons, unlike their regular counterparts where all sides are equal, feature sides of varying lengths, requiring individual measurement for perimeter computation. The perimeter of an irregular polygon with sides is simply the sum of the lengths of all individual sides: , where denotes the length of the -th side.[29] This summation method applies to any simple closed polygon, providing a straightforward way to quantify the boundary length when direct measurements are available.[30] When vertices are given as coordinates for to , the perimeter can be calculated using the Euclidean distance formula between consecutive points, ensuring closure by connecting the last vertex back to the first: with .[29] This approach is particularly useful in digital environments where polygons are defined by point data.[31] In practical applications, such as land surveying, irregular polygon perimeters are essential for determining property boundaries and fencing requirements, often derived from field measurements of plot outlines.[32] Similarly, in computer graphics, computing the perimeter of irregular polygons aids in rendering complex shapes, optimizing collision detection, and approximating boundaries for visual effects.[33] A key challenge arises with self-intersecting polygons, where edges cross each other, complicating perimeter calculations by potentially double-counting or misrepresenting boundary lengths compared to simple polygons that do not intersect themselves.[34] Distinguishing between simple and complex boundaries is crucial in fields like geographic information systems to ensure accurate perimeter assessments.[35]Curved Perimeters
Circles
The circumference of a circle is defined as the perimeter of the circle, given by the formula or equivalently , where is the radius and is the diameter.[36] One classical derivation of this formula arises from the limit of the perimeters of regular polygons inscribed in or circumscribed about the circle as the number of sides approaches infinity.[37] Archimedes employed this method in his work Measurement of a Circle, using 96-sided polygons to bound the circumference.[38] A modern derivation uses calculus to compute the arc length via the integral , where the circle is parametrized as , .[39] Substituting yields , so the total circumference is .[40] Historical approximations of include Archimedes' bounds , equivalent to approximately 3.1408 and 3.1429.[41] Modern computational values refine to over 300 trillion digits as of May 2025, with the initial digits given as .[42][43] A key property is that the ratio remains constant for all circles, independent of their position or orientation in the plane.[36]Ellipses and Other Curves
The perimeter of an ellipse, defined by semi-major axis and semi-minor axis (with ), lacks an elementary closed-form expression and typically requires evaluation via elliptic integrals of the second kind.[44] A highly accurate approximation, developed by the mathematician Srinivasa Ramanujan, is given by where .[44] This formula provides excellent precision for most practical purposes, with errors typically below 0.01% even for highly eccentric ellipses.[44] When , the ellipse reduces to a circle, recovering the familiar circumference formula . For more general smooth curves, the perimeter—equivalently, the arc length—is computed using integration. For a curve defined parametrically as over , the arc length is For a curve expressed as over , it simplifies to These integrals often cannot be evaluated analytically for arbitrary curves, necessitating numerical approximations. To compute perimeters of irregular curves, such as B-splines or other piecewise-defined paths, common methods include polygonal discretization, which approximates the curve by a finite number of straight-line segments whose lengths are summed./07%3A_Techniques_of_Integration/7.07%3A_Numerical_Integration) Alternatively, numerical quadrature techniques like Simpson's rule can be applied directly to the arc length integrand, dividing the parameter interval into subintervals and using parabolic approximations for improved accuracy over trapezoidal methods. These approaches balance computational efficiency and precision, with error bounds decreasing as the number of segments or subintervals increases. A representative example is the stadium shape (also known as a capsule), formed by two parallel straight segments of length connected by semicircular arcs of radius . Its perimeter is the sum of the straight and curved portions: .[45] In physics, curve perimeters quantify the total path length of particle trajectories, essential for determining quantities like action in Lagrangian mechanics or the distance traveled under varying velocities along non-straight paths.[46]Advanced Concepts
Isoperimetric Inequality
The isoperimetric problem seeks to determine the closed curve in the plane with a fixed perimeter that encloses the maximum possible area .[47] The solution to this problem is the circle, for which the enclosed area is given by .[48] This result leads to the isoperimetric inequality, which states that for any closed curve in the plane, , with equality holding if and only if the curve is a circle.[49] The inequality provides a quantitative bound on how efficiently a curve can enclose area relative to its length, establishing the circle as the unique optimizer among all plane curves.[50] Proofs of the isoperimetric inequality employ diverse mathematical techniques. Jakob Steiner provided a geometric approach in 1841 using symmetrization, a method that iteratively reflects portions of a domain across lines to produce a more symmetric set without increasing the perimeter or decreasing the area, ultimately converging to a disk.[47] Later proofs utilize the calculus of variations to minimize the functional relating perimeter and area, as developed by Weierstrass in 1879.[48] Additionally, analytic methods based on Fourier series expansions of the curve's parametrization yield the inequality through estimates on the coefficients, as detailed in Stein and Shakarchi's treatment. Extensions of the isoperimetric inequality apply to discrete and higher-dimensional settings. For polygons with fixed perimeter, regular polygons achieve areas approaching that of the circle as the number of sides increases, illustrating convergence to the continuous optimum.[49] In physics, soap bubbles exemplify the inequality, forming spherical surfaces that minimize surface area under surface tension, with equality in the single-bubble case.[51]Perceptual Aspects
The perception of perimeters is profoundly influenced by visual illusions, which distort the estimation of boundary lengths. The Müller-Lyer illusion, characterized by lines flanked by inward- or outward-pointing arrowheads, leads observers to misjudge the lengths of line segments, with the outward-pointing configuration appearing longer by up to 20% on average. This effect extends to boundary perception in graphical contexts, such as maps, where the illusion systematically biases distance and perimeter judgments, causing overestimation or underestimation depending on the arrow orientation relative to the depicted boundaries.[52] In complex shapes, perimeters are often underestimated due to the open-object illusion, in which incomplete or missing boundary segments make enclosed areas appear larger by 14-19%, due to illusory completion of contours.[53] Cognitive studies reveal systematic biases in estimating perimeters based on shape complexity. Such perceptual biases have practical applications in geography. The coastline paradox illustrates how measurement scale affects perceived perimeter length, with coarser scales leading to systematic underestimation of jagged coastal boundaries, as finer details (like inlets) are overlooked, resulting in estimates that increase exponentially with resolution—Britain's coastline, for instance, varies from 2,000 km at large scales to over 12,000 km at finer ones. Neurologically, perimeter estimation relies on boundary detection processes in the visual cortex. Neurons in primary visual cortex (V1) are tuned to oriented edges and contours, forming the initial representation of boundaries through surround suppression mechanisms that enhance contrast at object edges.[54] Higher areas like V2 and V4 integrate these signals for global contour grouping, enabling perimeter perception, but this process is prone to illusions when contextual cues mislead ownership assignment of borders.[55] Differences between experts and novices arise in boundary estimation tasks, with trained individuals exhibiting more accurate estimations due to refined perceptual processes.History and Terminology
Etymology
The term perimeter originates from the Ancient Greek perímetron (περίμετρον), formed by combining perí- ("around") and métron ("measure"), to denote the measurement encircling a geometric figure.[56] This word was utilized by ancient Greek geometers to refer to the total length of the outer boundary of shapes.[57] Although Euclid's Elements (c. 300 BCE) implies and calculates the concept through discussions of polygonal sides and circular boundaries—often using periphereia ("periphery") for the latter's enclosing line rather than perímetron explicitly—the term gained precise application in Greek mathematical literature.[58] It was formally adopted in Latin as perimetrum by medieval scholars during translations and commentaries on classical Greek texts, facilitating its transmission in European scholarship.[57] The word entered English in the early 15th century, derived from Latin perimetrum and Old French périmètre, initially signifying a circumference or outer limit in geometric contexts.[59] Through 16th-century translations of ancient works, it solidified as a standard mathematical term for the enclosing length of any closed shape and later extended to military usage, such as a defensive perimeter.[56] Related terms include circumference, a near-synonym applied exclusively to circles, and boundary, which conveys a similar idea in topology as the interface separating a region from its complement.[60]Historical Development
The concept of perimeter emerged in ancient civilizations through practical applications in surveying and construction. In ancient Egypt around 2000 BCE, rope stretchers—known as harpedonaptai—used knotted ropes to measure and lay out right angles for building pyramids and temples, effectively calculating perimeters of rectangular fields and structures after Nile floods.[61][62] This geometric knowledge influenced Greek mathematicians, who formalized perimeter in theoretical terms. Euclid, in his Elements (c. 300 BCE), defined polygons and their enclosing properties, treating perimeters as sums of sides for inscribed and circumscribed figures around circles, laying groundwork for regular polygon constructions up to 15 sides.[63] Archimedes advanced circle perimeter approximations in Measurement of a Circle (c. 250 BCE) by inscribing and circumscribing regular polygons with increasing sides—starting from hexagons and reaching 96 sides—to bound the circumference between 3 10/71 and 3 1/7, demonstrating the circle's perimeter as the limit of polygonal perimeters.[8] During the medieval Islamic Golden Age, Arabic scholars preserved and expanded Greek texts while integrating practical geometry. Al-Khwarizmi (c. 780–850 CE), in works like Kitab al-Jabr wa-l-Muqabala, applied geometric methods to solve quadratic equations involving areas and perimeters, and contributed to measuring the Earth's circumference—estimating it at approximately 40,000 km through expeditions under Caliph al-Ma'mun that measured meridian arcs and treated the meridian as a great circle equivalent to the equator under the spherical Earth model.[64][65][66] These efforts, including translations of Euclid's Elements into Arabic, safeguarded classical knowledge amid Europe's Dark Ages.[67] The Renaissance in 16th-century Europe saw the rediscovery of Greek mathematics through Latin translations of Arabic versions, revitalizing perimeter studies in architecture and cartography. Scholars like Regiomontanus and Commandinus rendered Euclid's works accessible, enabling applications in fortification design where polygonal perimeters optimized defensive enclosures.[68][69] In the 19th century, the isoperimetric problem—seeking the curve of fixed perimeter enclosing maximum area—received a rigorous solution from Jakob Steiner in 1841. Steiner's geometric proofs, using synthetic methods and lemmas on right triangles, confirmed the circle as the optimal shape, resolving a challenge posed since antiquity without relying on calculus.[47][70] The 20th century extended perimeter concepts to irregular forms via fractals; Benoit Mandelbrot's 1967 paper introduced the coastline paradox, showing that fractal curves like Britain's coast have scale-dependent lengths approaching infinity as measurement resolution increases, quantified by fractional dimensions (e.g., D ≈ 1.25 for the west coast).[71] Post-2000 advancements in geographic information systems (GIS) have enabled computational perimeter calculations for complex boundaries in digital mapping. Algorithms in tools like ArcGIS compute perimeters of vector polygons by summing geodesic distances, with accuracy assessments showing errors under 1% in some cases for boundaries derived from consumer-grade GPS units.[72] Applications include delineating wildfire perimeters from satellite imagery, where edge-detection methods refine fractal-like boundaries for real-time risk modeling using high-resolution rasters.[73]References
- https://en.wiktionary.org/wiki/perimeter
