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Area
The areas of this square and this disk are the same.
Common symbols
A or S
SI unitSquare metre [m2]
In SI base unitsm2
Dimension

Area is the measure of a region's size on a surface. The area of a plane region or plane area refers to the area of a shape or planar lamina, while surface area refers to the area of an open surface or the boundary of a three-dimensional object. Area can be understood as the amount of material with a given thickness that would be necessary to fashion a model of the shape, or the amount of paint necessary to cover the surface with a single coat.[1] It is the two-dimensional analogue of the length of a curve (a one-dimensional concept) or the volume of a solid (a three-dimensional concept). Two different regions may have the same area (as in squaring the circle); by synecdoche, "area" sometimes is used to refer to the region, as in a "polygonal area".

The area of a shape can be measured by comparing the shape to squares of a fixed size.[2] In the International System of Units (SI), the standard unit of area is the square metre (written as m2), which is the area of a square whose sides are one metre long.[3] A shape with an area of three square metres would have the same area as three such squares. In mathematics, the unit square is defined to have area one, and the area of any other shape or surface is a dimensionless real number.

There are several well-known formulas for the areas of simple shapes such as triangles, rectangles, and circles. Using these formulas, the area of any polygon can be found by dividing the polygon into triangles.[4] For shapes with curved boundary, calculus is usually required to compute the area. Indeed, the problem of determining the area of plane figures was a major motivation for the historical development of calculus.[5]

For a solid shape such as a sphere, cone, or cylinder, the area of its boundary surface is called the surface area.[1][6][7] Formulas for the surface areas of simple shapes were computed by the ancient Greeks, but computing the surface area of a more complicated shape usually requires multivariable calculus.

Area plays an important role in modern mathematics. In addition to its obvious importance in geometry and calculus, area is related to the definition of determinants in linear algebra, and is a basic property of surfaces in differential geometry.[8] In analysis, the area of a subset of the plane is defined using Lebesgue measure,[9] though not every subset is measurable if one supposes the axiom of choice.[10] In general, area in higher mathematics is seen as a special case of volume for two-dimensional regions.[1]

Area can be defined through the use of axioms, defining it as a function of a collection of certain plane figures to the set of real numbers. It can be proved that such a function exists.

Formal definition

[edit]

An approach to defining what is meant by "area" is through axioms. "Area" can be defined as a function from a collection M of a special kinds of plane figures (termed measurable sets) to the set of real numbers, which satisfies the following properties:[11]

  • For all S in M, a(S) ≥ 0.
  • If S and T are in M then so are ST and ST, and also a(ST) = a(S) + a(T) − a(ST).
  • If S and T are in M with ST then TS is in M and a(TS) = a(T) − a(S).
  • If a set S is in M and S is congruent to T then T is also in M and a(S) = a(T).
  • Every rectangle R is in M. If the rectangle has length h and breadth k then a(R) = hk.
  • Let Q be a set enclosed between two step regions S and T. A step region is formed from a finite union of adjacent rectangles resting on a common base, i.e. SQT. If there is a unique number c such that a(S) ≤ c ≤ a(T) for all such step regions S and T, then a(Q) = c.

It can be proved that such an area function actually exists.[12]

Units

[edit]
A square made of PVC pipe on grass
A square metre quadrat made of PVC pipe

Every unit of length has a corresponding unit of area, namely the area of a square with the given side length. Thus areas can be measured in square metres (m2), square centimetres (cm2), square millimetres (mm2), square kilometres (km2), square feet (ft2), square yards (yd2), square miles (mi2), and so forth.[13] Algebraically, these units can be thought of as the squares of the corresponding length units.

The SI unit of area is the square metre, which is considered an SI derived unit.[3]

Conversions

[edit]
A diagram showing the conversion factor between different areas
Although there are 10 mm in 1 cm, there are 100 mm2 in 1 cm2.

Calculation of the area of a square whose length and width are 1 metre would be:

1 metre × 1 metre = 1 m2

and so, a rectangle with different sides (say length of 3 metres and width of 2 metres) would have an area in square units that can be calculated as:

3 metres × 2 metres = 6 m2. This is equivalent to 6 million square millimetres. Other useful conversions are:

  • 1 square kilometre = 1,000,000 square metres
  • 1 square metre = 10,000 square centimetres = 1,000,000 square millimetres
  • 1 square centimetre = 100 square millimetres.

Non-metric units

[edit]

In non-metric units, the conversion between two square units is the square of the conversion between the corresponding length units.

1 foot = 12 inches,

the relationship between square feet and square inches is

1 square foot = 144 square inches,

where 144 = 122 = 12 × 12. Similarly:

  • 1 square yard = 9 square feet
  • 1 square mile = 3,097,600 square yards = 27,878,400 square feet

In addition, conversion factors include:

  • 1 square inch = 6.4516 square centimetres
  • 1 square foot = 0.09290304 square metres
  • 1 square yard = 0.83612736 square metres
  • 1 square mile = 2.589988110336 square kilometres

Other units including historical

[edit]

There are several other common units for area. The are was the original unit of area in the metric system, with:

  • 1 are = 100 square metres

Though the are has fallen out of use, the hectare is still commonly used to measure land:[13]

  • 1 hectare = 100 ares = 10,000 square metres = 0.01 square kilometres

Other uncommon metric units of area include the tetrad, the hectad, and the myriad.

The acre is also commonly used to measure land areas, where

  • 1 acre = 4,840 square yards = 43,560 square feet.

An acre is approximately 40% of a hectare.

On the atomic scale, area is measured in units of barns, such that:[13]

  • 1 barn = 10−28 square meters.

The barn is commonly used in describing the cross-sectional area of interaction in nuclear physics.[13]

In South Asia (mainly Indians), although the countries use SI units as official, many South Asians still use traditional units. Each administrative division has its own area unit, some of them have same names, but with different values. There's no official consensus about the traditional units values. Thus, the conversions between the SI units and the traditional units may have different results, depending on what reference that has been used.[14][15][16][17]

Some traditional South Asian units that have fixed value:

  • 1 Killa = 1 acre
  • 1 Ghumaon = 1 acre
  • 1 Kanal = 0.125 acre (1 acre = 8 kanal)
  • 1 Decimal = 48.4 square yards
  • 1 Chatak = 180 square feet

History

[edit]

Circle area

[edit]

In the 5th century BCE, Hippocrates of Chios was the first to show that the area of a disk (the region enclosed by a circle) is proportional to the square of its diameter, as part of his quadrature of the lune of Hippocrates,[18] but did not identify the constant of proportionality. Eudoxus of Cnidus, also in the 5th century BCE, also found that the area of a disk is proportional to its radius squared.[19]

Subsequently, Book I of Euclid's Elements dealt with equality of areas between two-dimensional figures. The mathematician Archimedes used the tools of Euclidean geometry to show that the area inside a circle is equal to that of a right triangle whose base has the length of the circle's circumference and whose height equals the circle's radius, in his book Measurement of a Circle. (The circumference is 2πr, and the area of a triangle is half the base times the height, yielding the area πr2 for the disk.) Archimedes approximated the value of π (and hence the area of a unit-radius circle) with his doubling method, in which he inscribed a regular triangle in a circle and noted its area, then doubled the number of sides to give a regular hexagon, then repeatedly doubled the number of sides as the polygon's area got closer and closer to that of the circle (and did the same with circumscribed polygons).

Triangle area

[edit]

Heron of Alexandria found what is known as Heron's formula for the area of a triangle in terms of its sides, and a proof can be found in his book, Metrica, written around 60 CE. It has been suggested that Archimedes knew the formula over two centuries earlier,[20] and since Metrica is a collection of the mathematical knowledge available in the ancient world, it is possible that the formula predates the reference given in that work.[21] In 300 BCE Greek mathematician Euclid proved that the area of a triangle is half that of a parallelogram with the same base and height in his book Elements of Geometry.[22]

In 499 Aryabhata, a great mathematician-astronomer from the classical age of Indian mathematics and Indian astronomy, expressed the area of a triangle as one-half the base times the height in the Aryabhatiya.[23]

A formula equivalent to Heron's was discovered by the Chinese independently of the Greeks. It was published in 1247 in Shushu Jiuzhang ("Mathematical Treatise in Nine Sections"), written by Qin Jiushao.[24]

Quadrilateral area

[edit]

In the 7th century CE, Brahmagupta developed a formula, now known as Brahmagupta's formula, for the area of a cyclic quadrilateral (a quadrilateral inscribed in a circle) in terms of its sides. In 1842, the German mathematicians Carl Anton Bretschneider and Karl Georg Christian von Staudt independently found a formula, known as Bretschneider's formula, for the area of any quadrilateral.

General polygon area

[edit]

The development of Cartesian coordinates by René Descartes in the 17th century allowed the development of the surveyor's formula for the area of any polygon with known vertex locations by Gauss in the 19th century.

Areas determined using calculus

[edit]

The development of integral calculus in the late 17th century provided tools that could subsequently be used for computing more complicated areas, such as the area of an ellipse and the surface areas of various curved three-dimensional objects.

Area formulas

[edit]

Polygon formulas

[edit]

For a non-self-intersecting (simple) polygon, the Cartesian coordinates (i=0, 1, ..., n-1) of whose n vertices are known, the area is given by the surveyor's formula:[25]

where when i=n-1, then i+1 is expressed as modulus n and so refers to 0.

Rectangles

[edit]
A rectangle with length and width labelled
The area of this rectangle is lw.

The most basic area formula is the formula for the area of a rectangle. Given a rectangle with length l and width w, the formula for the area is:[2]

A = lw  (rectangle).

That is, the area of the rectangle is the length multiplied by the width. As a special case, as l = w in the case of a square, the area of a square with side length s is given by the formula:[1][2]

A = s2  (square).

The formula for the area of a rectangle follows directly from the basic properties of area, and is sometimes taken as a definition or axiom. On the other hand, if geometry is developed before arithmetic, this formula can be used to define multiplication of real numbers.

Dissection, parallelograms, and triangles

[edit]
A parallelogram can be cut up and re-arranged to form a rectangle.

Most other simple formulas for area follow from the method of dissection. This involves cutting a shape into pieces, whose areas must sum to the area of the original shape. For an example, any parallelogram can be subdivided into a trapezoid and a right triangle, as shown in figure to the left. If the triangle is moved to the other side of the trapezoid, then the resulting figure is a rectangle. It follows that the area of the parallelogram is the same as the area of the rectangle:[2]

A = bh  (parallelogram).
A parallelogram split into two equal triangles

However, the same parallelogram can also be cut along a diagonal into two congruent triangles, as shown in the figure to the right. It follows that the area of each triangle is half the area of the parallelogram:[2]

 (triangle).

Similar arguments can be used to find area formulas for the trapezoid[26] as well as more complicated polygons.[27]

Area of curved shapes

[edit]

Circles

[edit]
A circle divided into many sectors can be re-arranged roughly to form a parallelogram
A circle can be divided into sectors which rearrange to form an approximate parallelogram.

The formula for the area of a circle (more properly called the area enclosed by a circle or the area of a disk) is based on a similar method. Given a circle of radius r, it is possible to partition the circle into sectors, as shown in the figure to the right. Each sector is approximately triangular in shape, and the sectors can be rearranged to form an approximate parallelogram. The height of this parallelogram is r, and the width is half the circumference of the circle, or πr. Thus, the total area of the circle is πr2:[2]

A = πr2  (circle).

Though the dissection used in this formula is only approximate, the error becomes smaller and smaller as the circle is partitioned into more and more sectors. The limit of the areas of the approximate parallelograms is exactly πr2, which is the area of the circle.[28]

This argument is actually a simple application of the ideas of calculus. In ancient times, the method of exhaustion was used in a similar way to find the area of the circle, and this method is now recognized as a precursor to integral calculus. Using modern methods, the area of a circle can be computed using a definite integral:

Ellipses

[edit]

The formula for the area enclosed by an ellipse is related to the formula of a circle; for an ellipse with semi-major and semi-minor axes x and y the formula is:[2]

Non-planar surface area

[edit]
A blue sphere inside a cylinder of the same height and radius
Archimedes showed that the surface area of a sphere is exactly four times the area of a flat disk of the same radius, and the volume enclosed by the sphere is exactly 2/3 of the volume of a cylinder of the same height and radius.

Most basic formulas for surface area can be obtained by cutting surfaces and flattening them out (see: developable surfaces). For example, if the side surface of a cylinder (or any prism) is cut lengthwise, the surface can be flattened out into a rectangle. Similarly, if a cut is made along the side of a cone, the side surface can be flattened out into a sector of a circle, and the resulting area computed.

The formula for the surface area of a sphere is more difficult to derive: because a sphere has nonzero Gaussian curvature, it cannot be flattened out. The formula for the surface area of a sphere was first obtained by Archimedes in his work On the Sphere and Cylinder. The formula is:[6]

A = 4πr2  (sphere),

where r is the radius of the sphere. As with the formula for the area of a circle, any derivation of this formula inherently uses methods similar to calculus.

General formulas

[edit]

Areas of 2-dimensional figures

[edit]
Triangle area
  • A triangle: (where B is any side, and h is the distance from the line on which B lies to the other vertex of the triangle). This formula can be used if the height h is known. If the lengths of the three sides are known then Heron's formula can be used: where a, b, c are the sides of the triangle, and is half of its perimeter.[2] If an angle and its two included sides are given, the area is where C is the given angle and a and b are its included sides.[2] If the triangle is graphed on a coordinate plane, a matrix can be used and is simplified to the absolute value of . This formula is also known as the shoelace formula and is an easy way to solve for the area of a coordinate triangle by substituting the 3 points (x1,y1), (x2,y2), and (x3,y3). The shoelace formula can also be used to find the areas of other polygons when their vertices are known. Another approach for a coordinate triangle is to use calculus to find the area.
  • A simple polygon constructed on a grid of equal-distanced points (i.e., points with integer coordinates) such that all the polygon's vertices are grid points: , where i is the number of grid points inside the polygon and b is the number of boundary points. This result is known as Pick's theorem.[29]

Area in calculus

[edit]
A diagram showing the area between a given curve and the x-axis
Integration can be thought of as measuring the area under a curve, defined by f(x), between two points (here a and b).
A diagram showing the area between two functions
The area between two graphs can be evaluated by calculating the difference between the integrals of the two functions
  • The area between a positive-valued curve and the horizontal axis, measured between two values a and b (b is defined as the larger of the two values) on the horizontal axis, is given by the integral from a to b of the function that represents the curve:[1]
where is the curve with the greater y-value.
  • An area bounded by a function expressed in polar coordinates is:[1]
  • The area enclosed by a parametric curve with endpoints is given by the line integrals:
or the z-component of
(For details, see Green's theorem § Area calculation.) This is the principle of the planimeter mechanical device.

Bounded area between two quadratic functions

[edit]

To find the bounded area between two quadratic functions, we first subtract one from the other, writing the difference as where f(x) is the quadratic upper bound and g(x) is the quadratic lower bound. By the area integral formulas above and Vieta's formula, we can obtain that[30][31] The above remains valid if one of the bounding functions is linear instead of quadratic.

Surface area of 3-dimensional figures

[edit]
  • Cone:[32] , where r is the radius of the circular base, and h is the height. That can also be rewritten as [32] or where r is the radius and l is the slant height of the cone. is the base area while is the lateral surface area of the cone.[32]
  • Cube: , where s is the length of an edge.[6]
  • Cylinder: , where r is the radius of a base and h is the height. The can also be rewritten as , where d is the diameter.
  • Prism: , where B is the area of a base, P is the perimeter of a base, and h is the height of the prism.
  • pyramid: , where B is the area of the base, P is the perimeter of the base, and L is the length of the slant.
  • Rectangular prism: , where is the length, w is the width, and h is the height.

General formula for surface area

[edit]

The general formula for the surface area of the graph of a continuously differentiable function where and is a region in the xy-plane with the smooth boundary:

An even more general formula for the area of the graph of a parametric surface in the vector form where is a continuously differentiable vector function of is:[8]

List of formulas

[edit]
Additional common formulas for area:
Shape Formula Variables
Square
Rectangle
Triangle
Triangle
Triangle

(Heron's formula)

Isosceles triangle
Regular triangle

(equilateral triangle)

Rhombus/Kite
Parallelogram
Trapezoid
Regular hexagon
Regular octagon
Regular polygon

( sides)





(perimeter)


incircle radius
circumcircle radius

Circle

( diameter)

Circular sector
Ellipse
Integral hochkant=0.2
Surface area
Sphere
Cuboid
Cylinder

(incl. bottom and top)

Cone

(incl. bottom)

Torus
Surface of revolution

(rotation around the x-axis)

The above calculations show how to find the areas of many common shapes.

The areas of irregular (and thus arbitrary) polygons can be calculated using the "Surveyor's formula" (shoelace formula).[28]

Relation of area to perimeter

[edit]

The isoperimetric inequality states that, for a closed curve of length L (so the region it encloses has perimeter L) and for area A of the region that it encloses,

and equality holds if and only if the curve is a circle. Thus a circle has the largest area of any closed figure with a given perimeter.

At the other extreme, a figure with given perimeter L could have an arbitrarily small area, as illustrated by a rhombus that is "tipped over" arbitrarily far so that two of its angles are arbitrarily close to 0° and the other two are arbitrarily close to 180°.

For a circle, the ratio of the area to the circumference (the term for the perimeter of a circle) equals half the radius r. This can be seen from the area formula πr2 and the circumference formula 2πr.

The area of a regular polygon is half its perimeter times the apothem (where the apothem is the distance from the center to the nearest point on any side).

Fractals

[edit]

Doubling the edge lengths of a polygon multiplies its area by four, which is two (the ratio of the new to the old side length) raised to the power of two (the dimension of the space the polygon resides in). But if the one-dimensional lengths of a fractal drawn in two dimensions are all doubled, the spatial content of the fractal scales by a power of two that is not necessarily an integer. This power is called the fractal dimension of the fractal. [33]

Area bisectors

[edit]

There are an infinitude of lines that bisect the area of a triangle. Three of them are the medians of the triangle (which connect the sides' midpoints with the opposite vertices), and these are concurrent at the triangle's centroid; indeed, they are the only area bisectors that go through the centroid. Any line through a triangle that splits both the triangle's area and its perimeter in half goes through the triangle's incenter (the center of its incircle). There are either one, two, or three of these for any given triangle.

Any line through the midpoint of a parallelogram bisects the area.

All area bisectors of a circle or other ellipse go through the center, and any chords through the center bisect the area. In the case of a circle they are the diameters of the circle.

Optimization

[edit]

Given a wire contour, the surface of least area spanning ("filling") it is a minimal surface. Familiar examples include soap bubbles.

The question of the filling area of the Riemannian circle remains open.[34]

The circle has the largest area of any two-dimensional object having the same perimeter.

A cyclic polygon (one inscribed in a circle) has the largest area of any polygon with a given number of sides of the same lengths.

A version of the isoperimetric inequality for triangles states that the triangle of greatest area among all those with a given perimeter is equilateral.[35]

The triangle of largest area of all those inscribed in a given circle is equilateral; and the triangle of smallest area of all those circumscribed around a given circle is equilateral.[36]

The ratio of the area of the incircle to the area of an equilateral triangle, , is larger than that of any non-equilateral triangle.[37]

The ratio of the area to the square of the perimeter of an equilateral triangle, is larger than that for any other triangle.[35]

See also

[edit]

References

[edit]
[edit]
Revisions and contributorsEdit on WikipediaRead on Wikipedia
from Grokipedia
Area is a fundamental concept in that quantifies the extent or size of a two-dimensional , , or planar lamina, typically measured in square units such as square meters or square inches. It represents the amount of surface enclosed by the boundary of the figure, distinguishing it from linear measures like or perimeter. The origins of area measurement trace back to ancient civilizations around 3000 BC in and , where practical emerged for land surveying and construction, with the term "geometry" itself deriving from Greek words meaning "earth measurement." The Babylonians developed methods to compute areas of rectangles, triangles, trapezoids, and circles, often approximating the as three times the square of its radius. Ancient Egyptians, as documented in papyri like the , calculated areas for practical purposes such as taxation and pyramid building, using formulas for triangles and rectangles that align closely with modern ones. Greek mathematicians, including in his Elements around 300 BC, formalized area through axiomatic proofs, establishing principles like the equality of areas for congruent figures and methods for quadrilaterals via . In modern , area extends beyond basic polygons to irregular shapes and curved regions, often computed using integral calculus for precise measurement under continuous functions. Key formulas include the area of a as times width, a as one-half base times height, and a as π times squared, with these derived from foundational principles. Area holds significant importance in fields like , where it relates to moments of for , and in physics for calculating work or probability densities. Everyday applications encompass for floor planning and for field assessment.

Definition and Basics

Formal Definition

Area represents the intuitive measure of the two-dimensional extent occupied by a plane figure or the space enclosed within its boundary, akin to the amount of material needed to fill or cover that region completely. This contrasts with perimeter, which quantifies the one-dimensional of the boundary outlining the figure; for instance, filling a circular disk with corresponds to its area, whereas tracing its edge with a string measures the perimeter. Formally, in modern mathematics, area is defined as the on the R2\mathbb{R}^2, which provides a complete, translation-invariant, and countably additive measure for Lebesgue-measurable sets. The λ\lambda is constructed via the λ\lambda^*, defined for any set ER2E \subseteq \mathbb{R}^2 as the infimum of the sums of areas of countable collections of open covering EE, where the area of a [a,b]×[c,d][a,b] \times [c,d] is (ba)(dc)(b-a)(d-c); a set EE is Lebesgue measurable if λ(A)=λ(AE)+λ(AE)\lambda^*(A) = \lambda^*(A \cap E) + \lambda^*(A \setminus E) for all AR2A \subseteq \mathbb{R}^2, and then λ(E)=λ(E)\lambda(E) = \lambda^*(E). This framework extends the elementary notion of area to a broad class of sets while preserving properties like monotonicity and additivity for disjoint unions. For simpler regions bounded by Jordan curves—continuous, non-self-intersecting closed paths—an axiomatic approach defines area through Jordan measurability, which approximates the region using finite unions of rectangles to compute inner and outer contents. A ER2E \subseteq \mathbb{R}^2 is Jordan measurable if the supremum of the total areas of finite unions of rectangles contained in EE (inner content) equals the infimum of those covering EE (outer content), yielding the Jordan measure as this common value; this is finitely additive but not necessarily countably additive. Jordan measurability applies particularly to regions with boundaries of measure zero, such as polygons or smooth curves, providing a precursor to the Lebesgue definition. Not all subsets of R2\mathbb{R}^2 admit such a measure; the , constructed by partitioning [0,1][0,1] into equivalence classes modulo the and selecting one representative from each using the , is non-Lebesgue measurable, as its countable disjoint translates by would imply contradictory measure assignments under translation invariance and additivity. This example underscores the necessity of restricting area definitions to measurable sets in the axiomatic framework.

Units of Area

Area is quantified using square units, which represent the product of two s and thus have dimensions of squared, denoted as [L²] in . This fundamental relationship arises because area measures the extent of a two-dimensional surface, equivalent to multiplying a by another . In the (SI), the standard unit of area is the square meter (m²), defined as the area of a square with each side measuring exactly one meter. The meter itself is defined as the traveled by in in 1/299,792,458 of a second, making the square meter a derived unit based on this base . Common imperial units include the (ft²), which is the area of a square with sides of one foot, and the acre, defined as 43,560 square feet. The foot is a base unit in the imperial system, approximately equal to 0.3048 meters, so the square foot and acre are similarly derived by squaring or scaling this length. These units find practical applications in everyday contexts; for instance, square meters are commonly used to measure or wall coverings in residential and commercial buildings, while acres are standard for denoting areas in and in regions employing imperial measures.

Measurement Systems

Metric and Imperial Conversions

The conversion between metric and imperial units of area stems directly from the corresponding linear unit conversions, as area scales with the square of the linear dimensions. The international foot is defined as exactly 0.3048 meters by international agreement, making one exactly 0.09290304 square meters. Therefore, the exact conversion formula is 1m2=10.09290304ft210.7639104167ft21 \, \mathrm{m}^2 = \frac{1}{0.09290304} \, \mathrm{ft}^2 \approx 10.7639104167 \, \mathrm{ft}^2. Common conversions include those for larger land areas, such as to acres. One equals exactly 10,000 square , while one acre is defined as exactly 43 square feet, or 4,046.8564224 square . Thus, 1ha=10,0004,046.85642242.4710538147ac1 \, \mathrm{ha} = \frac{10{,}000}{4{,}046.8564224} \approx 2.4710538147 \, \mathrm{ac}. For smaller scales, one square centimeter converts to approximately 0.15500031 square inches, derived from the exact relation 1in=2.54cm1 \, \mathrm{in} = 2.54 \, \mathrm{cm}, so 1in2=6.4516cm21 \, \mathrm{in}^2 = 6.4516 \, \mathrm{cm}^2. The following table provides quick reference equivalents for select metric and imperial area units, using the precise factors above:
Metric UnitImperial Equivalent
1 ≈ 10.76391 ft²
1 cm²≈ 0.15500 in²
1 ha≈ 2.47105 ac
1 km²≈ 0.38610 mi²
In practical applications, such as real estate, these conversions are essential for comparing plot sizes across regions; for instance, a 1-hectare farm lot equates to about 2.47 acres, aiding international property transactions and zoning assessments. Approximations like 1 m² ≈ 10.76 ft² or 1 ha ≈ 2.47 ac introduce minor errors—typically less than 0.01% for the former and 0.004% for the latter—but can accumulate in large-scale calculations, such as surveying multi-kilometer areas, where exact values from defined constants are recommended to avoid discrepancies exceeding 1 square foot per 100 square meters.

Historical and Non-Standard Units

In , the aroura served as a primary unit of land area, originally known as the kht and measuring approximately 2735 square meters, equivalent to about 100 by 100 royal cubits; this unit was later renamed by Greek rulers during the Ptolemaic period. The aroura was tied to agricultural practices, representing the land that could be plowed in a day by a pair of oxen. Similarly, in , the (or ) was a key land measurement unit, defined as a 240 Roman feet long by 120 feet wide, totaling about 2529 square meters or roughly a quarter of a , and also based on the area plowable by a yoked pair of oxen in one day. Across various non-Western cultures, traditional area units persisted for land assessment and property division. In , the mu has been a longstanding measure for , standardized in the 20th century to 666.67 square meters, or approximately 0.0667 hectares, though its historical value varied slightly by region and era. In , the tsubo remains in use for real estate and architecture, equating to about 3.3 square meters, derived from the area of two standard mats and originally based on the square ken length unit. The Indian , a traditional unit prevalent in northern and eastern regions, varies regionally but typically measures around 2500 square meters, such as the pucca bigha in at 3025 square yards; these differences stem from local customs and colonial influences, with no uniform national standard. Specialized non-metric units emerged in scientific contexts, such as the in , which denotes a cross-sectional area of 10^{-28} square meters—roughly the size of a nucleus—and is used to quantify interaction probabilities between particles and nuclei. The widespread adoption of the in the , beginning with France's revolutionary reforms in the and spreading internationally through treaties like the 1875 , gradually supplanted many historical units in favor of standardized square meters and hectares, though cultural units like the mu and tsubo endured in specific locales. In modern niche applications, area units persist outside general measurement systems. In computing, the pixel serves as a fundamental unit for image resolution, where pixel areas (often expressed as pixels squared) quantify the total coverage in digital graphics and displays, independent of physical dimensions. In printing and typography, the point—defined as 1/72 inch—forms the basis for area calculations, such as points squared, to specify layout elements like font metrics or graphic spaces on physical media.

Historical Evolution

Ancient and Classical Developments

The earliest known conceptualizations of area emerged in ancient around 2000 BCE, where scribes recorded practical calculations for land measurement on clay tablets during the Old Babylonian period. These tablets, often used for administrative purposes like assessing fields for taxation or irrigation, demonstrate approximations of areas for irregular shapes, such as trapezoids representing cultivated plots bounded by canals. For instance, tablets from sites like and reveal methods that treated fields as composites of triangles and rectangles, employing a (base-60) system to compute areas roughly equivalent to modern formulas but with empirical adjustments for non-rectilinear boundaries. This approach prioritized utility over theoretical rigor, reflecting the agrarian economy's needs. In , the Rhind Papyrus, dated to approximately 1650 BCE and attributed to the scribe , provides one of the oldest systematic treatments of area calculations, copied from earlier Middle Kingdom sources. This document includes problems on the areas of triangles, using a method that multiplies half the base by the height, and circles, approximated by treating the shape as a square with side length equal to eight-ninths of the diameter, yielding a value for π close to 3.16. Problems 48 through 50, for example, address circular fields and bases, illustrating geometric applications in agriculture and architecture. These computations underscore the Egyptians' empirical geometry, integrated into daily surveying (harpedonaptai) for flood allocations. Around 800 BCE in ancient , the Sulba Sutras—appendices to Vedic ritual texts like the Baudhayana Sulba Sutra—detailed geometric constructions for building sacrificial , implicitly engaging with area through precise spatial arrangements. These manuals prescribed methods to equate areas of squares, rectangles, and circles for altar designs, such as transforming a square altar into an equivalent circular one or combining shapes into larger structures like falcon-headed forms. The focus was ritual accuracy, ensuring altars covered specific areas (e.g., 7.5 square purushas) while adhering to commensurability rules, which anticipated Pythagorean relations without explicit theorems. This work, part of the broader Vedic tradition, advanced practical geometry for religious purposes. Greek mathematicians in classical antiquity formalized area as a rigorous concept, building on earlier traditions. 's Elements, composed around 300 BCE in , defines area through foundational propositions in Book I, equating the areas of s and parallelograms with equal bases and heights, using transformations via to establish equivalence. This axiomatic framework treated area as a magnitude comparable across figures, laying the groundwork for deductive without numerical computation. Subsequently, , around 250 BCE in Syracuse, advanced this by applying the in to determine the exact as equal to that of a right-angled with one leg as the and the hypotenuse as the . By successively inscribing and circumscribing polygons, he bounded π between 3 10/71 and 3 1/7, providing the first theoretical limit for curvilinear areas. These developments shifted area from approximation to precise, provable entity.

Medieval to Early Modern Advances

During the , Persian mathematician advanced the understanding of area through his treatise Al-Kitāb al-mukhtaṣar fī ḥisāb al-jabr wa’l-muqābala (c. 820 CE), which systematically solved quadratic equations using geometric methods that equated areas of squares and rectangles. 's approach treated quadratic terms as areas, providing step-by-step geometric completions of squares to find roots, thereby bridging arithmetic and for practical land measurement and inheritance problems prevalent in the Abbasid era. This work laid foundational algebraic techniques for area-related computations, influencing subsequent European mathematics. In medieval , Italian mathematician Leonardo of , known as , facilitated the adoption of advanced area calculations by introducing Hindu-Arabic numerals in his (1202). The text promoted the decimal place-value system over , enabling more efficient arithmetic for commercial applications, including problems on computing areas of fields and allotments using proportions and basic . Fibonacci's examples, drawn from Mediterranean trade, demonstrated how these numerals simplified multiplications and divisions essential for irregular area estimations, marking a shift from cumbersome tally methods to systematic calculation. Building on these foundations in the early , German astronomer explored area concepts implicitly through volume computations in his Nova stereometria doliorum vinariorum (1615), prompted by a dispute over wine barrel measurements. Kepler employed intuitive slicing—dividing barrels into thin layers—to approximate volumes, which required integrating cross-sectional areas along the height, foreshadowing calculus-based area summation. His analysis also addressed optimization, determining barrel proportions that maximized volume for given diagonal constraints, thereby linking area variations to practical engineering. Italian mathematician further refined these ideas with his method of indivisibles, detailed in Geometria indivisibilibus continuorum nova quadam ratione promota (1635), which treated plane figures as assemblies of infinitely many parallel line segments to compute areas. This approach, an extension of earlier exhaustion methods, allowed comparison of areas by equating the "sums" of indivisible lines between parallel boundaries, providing a precursor to integral calculus without formal limits. stated that figures with equal heights and matching segment lengths at every level possess equal areas, enabling solutions to quadrature problems like parabolas. The period culminated in French philosopher ' La Géométrie (1637), which introduced coordinate to represent areas algebraically, transforming geometric figures into equations on a plane. By assigning coordinates to points, Descartes enabled the calculation of areas bounded by curves through algebraic integration of functions, such as determining regions under parabolas via their rectangular representations. This synthesis unified algebra and , allowing area problems to be solved via systematic equation manipulation rather than pure construction.

Modern Mathematical Foundations

The formalization of area in modern mathematics gained rigor in the mid-19th century with Bernhard Riemann's introduction of the in , which defined the area under a continuous as the limit of sums of rectangular areas approximating the region beneath the graph. This approach, presented in Riemann's lecture at the and later published by in 1868, provided a precise method for computing areas of plane figures bounded by graphs of functions, resolving ambiguities in earlier practices by emphasizing uniform partitions and upper/lower sums. By the early 20th century, limitations of the —particularly its failure to integrate certain bounded functions with dense discontinuities—prompted to develop a more general theory of integration in his 1902 doctoral Intégrale, longueur, aire. Lebesgue's framework redefined area through the concept of measure, assigning lengths to intervals and extending this to sets via outer and inner approximations, allowing integration over non-rectifiable sets and functions that were previously intractable. This measure-theoretic approach not only generalized area computation but also laid the groundwork for handling pathological sets in higher dimensions. A complementary topological foundation emerged with Camille Jordan's 1887 statement of the in his Cours d'analyse de l'École Polytechnique, asserting that any simple closed curve in the plane separates it into a bounded interior region and an unbounded exterior, with the curve as their common boundary. Although Jordan's proof contained gaps later filled by in 1905, the theorem established a rigorous basis for distinguishing enclosed areas from the surrounding plane, influencing subsequent work on the measurability of regions bounded by curves. The development of measure theory accelerated in the early partly in response to paradoxes arising from the , most notably the Banach-Tarski paradox of 1924, which demonstrated that a three-dimensional ball could be partitioned into finitely many non-measurable pieces and reassembled via rigid motions into two balls of the same size. Proved by and in their seminal paper, this result highlighted the need for a consistent theory of area (and ) that excludes such "pathological" decompositions, spurring refinements in to focus on measurable sets and inspiring axiomatic approaches like those of in the 1930s. In the latter half of the , these foundations found profound applications in and , particularly through , which studies area-minimizing surfaces and currents as generalizations of surfaces with finite area. Seminal contributions include the 1960 paper by Herbert Federer and Wendell Fleming, which introduced integral currents to model rectifiable sets with integer multiplicity, enabling the of minimal surfaces and varifolds in problems like the Plateau problem and clusters. This framework bridged measure theory with , providing tools for regularity theorems on area functionals and influencing advancements in calibrated geometries and systolic inequalities.

Formulas for Plane Figures

Polygons and Simple Shapes

The area of a , a fundamental with four right angles, is calculated as the product of its ll and width ww, yielding A=l×wA = l \times w./06:_Area_and_Perimeter/6.01:_The_Area_of_a_Rectangle_and_Square) This formula arises as a special case of the more general area, where opposite sides are equal and parallel. For a , the area is determined by A=b×hA = b \times h, with bb as the base and hh as the height. This result follows from the shear transformation, which deforms a into a while preserving area, as the transformation maintains the product of base and height. In , this equality is established by showing that a shares the same base and height as a of equivalent dimensions. Triangles, the simplest polygons, have area A=12b×[h](/page/Height)A = \frac{1}{2} b \times [h](/page/Height), where bb is the base and hh is the to it. This derives from the observation that two congruent triangles form a of equal base and , halving the 's area. For triangles with known side lengths aa, bb, and cc, provides A=s(sa)(sb)(sc)A = \sqrt{s(s - a)(s - b)(s - c)}
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