The imaginary unit or unit imaginary number (i) is a solution to the quadratic equation x2 + 1 = 0. Although there is no real number with this property, i can be used to extend the real numbers to what are called complex numbers, using addition and multiplication. A simple example of the use of i in a complex number is 2 + 3i.
Imaginary numbers are an important mathematical concept; they extend the real number system to the complex number system in which at least one root for every nonconstant polynomial exists (see Algebraic closure and Fundamental theorem of algebra). Here, the term "imaginary" is used because there is no real number having a negative square.
There are two complex square roots of −1:i and −i, just as there are two complex square roots of every real number other than zero (which has one double square root).
In contexts in which use of the letter i is ambiguous or problematic, the letter j is sometimes used instead. For example, in electrical engineering and control systems engineering, the imaginary unit is normally denoted by j instead of i, because i is commonly used to denote electric current. [1]
Square roots of negative numbers are called imaginary because in early-modern mathematics, only what are now called real numbers, obtainable by physical measurements or basic arithmetic, were considered to be numbers at all – even negative numbers were treated with skepticism – so the square root of a negative number was previously considered undefined or nonsensical. The name imaginary is generally credited to René Descartes, and Isaac Newton used the term as early as 1670. [2] [3] The i notation was introduced by Leonhard Euler. [4]
A unit is an undivided whole, and unity or the unit number is the number one (1).
The powers of i are cyclic: |
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The imaginary unit i is defined solely by the property that its square is −1:
With i defined this way, it follows directly from algebra that i and −i are both square roots of −1.
Although the construction is called "imaginary", and although the concept of an imaginary number may be intuitively more difficult to grasp than that of a real number, the construction is valid from a mathematical standpoint. Real number operations can be extended to imaginary and complex numbers, by treating i as an unknown quantity while manipulating an expression (and using the definition to replace any occurrence of i2 with −1). Higher integral powers of i are thus and so on, cycling through the four values 1, i, −1, and −i. As with any non-zero real number, i0 = 1.
As a complex number, i can be represented in rectangular form as 0 + 1i, with a zero real component and a unit imaginary component. In polar form, i can be represented as 1 × eπi /2 (or just eπi /2), with an absolute value (or magnitude) of 1 and an argument (or angle) of radians. (Adding any integer multiple of 2π to this angle works as well.) In the complex plane, which is a special interpretation of a Cartesian plane, i is the point located one unit from the origin along the imaginary axis (which is orthogonal to the real axis).
Being a quadratic polynomial with no multiple root, the defining equation x2 = −1 has two distinct solutions, which are equally valid and which happen to be additive and multiplicative inverses of each other. Although the two solutions are distinct numbers, their properties are indistinguishable; there is no property that one has that the other does not. One of these two solutions is labelled +i (or simply i) and the other is labelled −i, though it is inherently ambiguous which is which.
The only differences between +i and −i arise from this labelling. For example, by convention +i is said to have an argument of and −i is said to have an argument of related to the convention of labelling orientations in the Cartesian plane relative to the positive x-axis with positive angles turning anticlockwise in the direction of the positive y-axis. Also, despite the signs written with them, neither +i nor −i is inherently positive or negative in the sense that real numbers are. [5]
A more formal expression of this indistinguishability of +i and −i is that, although the complex field is unique (as an extension of the real numbers) up to isomorphism, it is not unique up to a unique isomorphism. That is, there are two field automorphisms of the complex numbers that keep each real number fixed, namely the identity and complex conjugation. For more on this general phenomenon, see Galois group.
Using the concepts of matrices and matrix multiplication, complex numbers can be represented in linear algebra. The real unit 1 and imaginary unit i can be represented by any pair of matrices I and J satisfying I2 = I,IJ = JI = J, and J2 = −I. Then a complex number a + bi can be represented by the matrix aI + bJ, and all of the ordinary rules of complex arithmetic can be derived from the rules of matrix arithmetic.
The most common choice is to represent 1 and i by the 2 × 2 identity matrix I and the matrix J,
Then an arbitrary complex number a + bi can be represented by:
More generally, any real-valued 2 × 2 matrix with a trace of zero and a determinant of one squares to −I, so could be chosen for J. Larger matrices could also be used; for example, 1 could be represented by the 4 × 4 identity matrix and i could be represented by any of the Dirac matrices for spatial dimensions.
Polynomials (weighted sums of the powers of a variable) are a basic tool in algebra. Polynomials whose coefficients are real numbers form a ring, denoted an algebraic structure with addition and multiplication and sharing many properties with the ring of integers.
The polynomial has no real-number roots, but the set of all real-coefficient polynomials divisible by forms an ideal, and so there is a quotient ring This quotient ring is isomorphic to the complex numbers, and the variable expresses the imaginary unit.
The complex numbers can be represented graphically by drawing the real number line as the horizontal axis and the imaginary numbers as the vertical axis of a Cartesian plane called the complex plane . In this representation, the numbers 1 and i are at the same distance from 0, with a right angle between them. Addition by a complex number corresponds to translation in the plane, while multiplication by a unit-magnitude complex number corresponds to rotation about the origin. Every similarity transformation of the plane can be represented by a complex-linear function
In the geometric algebra of the Euclidean plane, the geometric product or quotient of two arbitrary vectors is a sum of a scalar (real number) part and a bivector part. (A scalar is a quantity with no orientation, a vector is a quantity oriented like a line, and a bivector is a quantity oriented like a plane.) The square of any vector is a positive scalar, representing its length squared, while the square of any bivector is a negative scalar.
The quotient of a vector with itself is the scalar 1 = u/u, and when multiplied by any vector leaves it unchanged (the identity transformation). The quotient of any two perpendicular vectors of the same magnitude, J = u/v, which when multiplied rotates the divisor a quarter turn into the dividend, Jv = u, is a unit bivector which squares to −1, and can thus be taken as a representative of the imaginary unit. Any sum of a scalar and bivector can be multiplied by a vector to scale and rotate it, and the algebra of such sums is isomorphic to the algebra of complex numbers. In this interpretation points, vectors, and sums of scalars and bivectors are all distinct types of geometric objects. [6]
More generally, in the geometric algebra of any higher-dimensional Euclidean space, a unit bivector of any arbitrary planar orientation squares to −1, so can be taken to represent the imaginary unit i.
The imaginary unit was historically written and still is in some modern works. However, great care needs to be taken when manipulating formulas involving radicals. The radical sign notation is reserved either for the principal square root function, which is defined for only real x ≥ 0, or for the principal branch of the complex square root function. Attempting to apply the calculation rules of the principal (real) square root function to manipulate the principal branch of the complex square root function can produce false results: [7]
Generally, the calculation rules and are guaranteed to be valid only for real, positive values of x and y. [8] [9] [10]
When x or y is real but negative, these problems can be avoided by writing and manipulating expressions like , rather than . For a more thorough discussion, see the articles Square root and Branch point.
As a complex number, the imaginary unit follows all of the rules of complex arithmetic.
When the imaginary unit is repeatedly added or subtracted, the result is some integer times the imaginary unit, an imaginary integer; any such numbers can be added and the result is also an imaginary integer:
Thus, the imaginary unit is the generator of a group under addition, specifically an infinite cyclic group.
The imaginary unit can also be multiplied by any arbitrary real number to form an imaginary number. These numbers can be pictured on a number line, the imaginary axis, which as part of the complex plane is typically drawn with a vertical orientation, perpendicular to the real axis which is drawn horizontally.
Integer sums of the real unit 1 and the imaginary unit i form a square lattice in the complex plane called the Gaussian integers. The sum, difference, or product of Gaussian integers is also a Gaussian integer:
When multiplied by the imaginary unit i, any arbitrary complex number in the complex plane is rotated by a quarter turn ( radians or 90°) anticlockwise. When multiplied by −i, any arbitrary complex number is rotated by a quarter turn clockwise. In polar form:
In rectangular form,
The powers of i repeat in a cycle expressible with the following pattern, where n is any integer:
Thus, under multiplication, i is a generator of a cyclic group of order 4, a discrete subgroup of the continuous circle group of the unit complex numbers under multiplication.
Written as a special case of Euler's formula for an integer n,
With a careful choice of branch cuts and principal values, this last equation can also apply to arbitrary complex values of n, including cases like n = i.[ citation needed ]
Just like all nonzero complex numbers, has two distinct square roots which are additive inverses. In polar form, they are
In rectangular form, they are [lower-alpha 1]
Squaring either expression yields
The three cube roots of i are [12]
For a general positive integer n, the n-th roots of i are, for k = 0, 1, ..., n − 1, The value associated with k = 0 is the principal n-th root of i. The set of roots equals the corresponding set of roots of unity rotated by the principal n-th root of i. These are the vertices of a regular polygon inscribed within the complex unit circle.
The complex exponential function relates complex addition in the domain to complex multiplication in the codomain. Real values in the domain represent scaling in the codomain (multiplication by a real scalar) with 1 representing multiplication by e, while imaginary values in the domain represent rotation in the codomain (multiplication by a unit complex number) with i representing a rotation by 1 radian. The complex exponential is thus a periodic function in the imaginary direction, with period 2πi and image 1 at points 2kπi for all integers k, a real multiple of the lattice of imaginary integers.
The complex exponential can be broken into even and odd components, the hyperbolic functions cosh and sinh or the trigonometric functions cos and sin:
Euler's formula decomposes the exponential of an imaginary number representing a rotation:
This fact can be used to demonstrate, among other things, the apparently counterintuitive result that is a real number. [13]
The quotient coth z = cosh z / sinh z, with appropriate scaling, can be represented as an infinite partial fraction decomposition as the sum of reciprocal functions translated by imaginary integers: [14]
Other functions based on the complex exponential are well-defined with imaginary inputs. For example, a number raised to the ni power is:
Because the exponential is periodic, its inverse the complex logarithm is a multi-valued function, with each complex number in the domain corresponding to multiple values in the codomain, separated from each-other by any integer multiple of 2πi. One way of obtaining a single-valued function is to treat the codomain as a cylinder, with complex values separated by any integer multiple of 2πi treated as the same value; another is to take the domain to be a Riemann surface consisting of multiple copies of the complex plane stitched together along the negative real axis as a branch cut, with each branch in the domain corresponding to one infinite strip in the codomain. [15] Functions depending on the complex logarithm therefore depend on careful choice of branch to define and evaluate clearly.
For example, if one chooses any branch where then when x is a positive real number,
The factorial of the imaginary unit i is most often given in terms of the gamma function evaluated at 1 + i: [16]
The magnitude and argument of this number are: [17]
In mathematics, the arithmetic–geometric mean of two positive real numbers x and y is the mutual limit of a sequence of arithmetic means and a sequence of geometric means. The arithmetic–geometric mean is used in fast algorithms for exponential, trigonometric functions, and other special functions, as well as some mathematical constants, in particular, computing π.
In mathematics, a complex number is an element of a number system that extends the real numbers with a specific element denoted i, called the imaginary unit and satisfying the equation ; every complex number can be expressed in the form , where a and b are real numbers. Because no real number satisfies the above equation, i was called an imaginary number by René Descartes. For the complex number ,a is called the real part, and b is called the imaginary part. The set of complex numbers is denoted by either of the symbols or C. Despite the historical nomenclature, "imaginary" complex numbers have a mathematical existence as firm as that of the real numbers, and they are fundamental tools in the scientific description of the natural world.
In integral calculus, an elliptic integral is one of a number of related functions defined as the value of certain integrals, which were first studied by Giulio Fagnano and Leonhard Euler. Their name originates from their originally arising in connection with the problem of finding the arc length of an ellipse.
In mathematics, the gamma function is the most common extension of the factorial function to complex numbers. Derived by Daniel Bernoulli, the gamma function is defined for all complex numbers except non-positive integers, and for every positive integer , The gamma function can be defined via a convergent improper integral for complex numbers with positive real part:
In physics, the Maxwell–Boltzmann distribution, or Maxwell(ian) distribution, is a particular probability distribution named after James Clerk Maxwell and Ludwig Boltzmann.
In mathematics, a square root of a number x is a number y such that ; in other words, a number y whose square is x. For example, 4 and −4 are square roots of 16 because .
In mathematics, the floor function is the function that takes as input a real number x, and gives as output the greatest integer less than or equal to x, denoted ⌊x⌋ or floor(x). Similarly, the ceiling function maps x to the smallest integer greater than or equal to x, denoted ⌈x⌉ or ceil(x).
In mathematical analysis, Fubini's theorem characterizes the conditions under which it is possible to compute a double integral by using an iterated integral. It was introduced by Guido Fubini in 1907. The theorem states that if a function is Lebesgue integrable on a rectangle , then one can evaluate the double integral as an iterated integral: This formula is generally not true for the Riemann integral, but it is true if the function is continuous on the rectangle. In multivariable calculus, this weaker result is sometimes also called Fubini's theorem, although it was already known by Leonhard Euler.
In mathematics, the Gudermannian function relates a hyperbolic angle measure to a circular angle measure called the gudermannian of and denoted . The Gudermannian function reveals a close relationship between the circular functions and hyperbolic functions. It was introduced in the 1760s by Johann Heinrich Lambert, and later named for Christoph Gudermann who also described the relationship between circular and hyperbolic functions in 1830. The gudermannian is sometimes called the hyperbolic amplitude as a limiting case of the Jacobi elliptic amplitude when parameter
In mathematics, the inverse trigonometric functions are the inverse functions of the trigonometric functions, under suitably restricted domains. Specifically, they are the inverses of the sine, cosine, tangent, cotangent, secant, and cosecant functions, and are used to obtain an angle from any of the angle's trigonometric ratios. Inverse trigonometric functions are widely used in engineering, navigation, physics, and geometry.
In mathematics, theta functions are special functions of several complex variables. They show up in many topics, including Abelian varieties, moduli spaces, quadratic forms, and solitons. As Grassmann algebras, they appear in quantum field theory.
In mathematics, the double factorial of a number n, denoted by n‼, is the product of all the positive integers up to n that have the same parity as n. That is,
In number theory, a Heegner number is a square-free positive integer d such that the imaginary quadratic field has class number 1. Equivalently, the ring of algebraic integers of has unique factorization.
In mathematics, specifically the theory of elliptic functions, the nome is a special function that belongs to the non-elementary functions. This function is of great importance in the description of the elliptic functions, especially in the description of the modular identity of the Jacobi theta function, the Hermite elliptic transcendents and the Weber modular functions, that are used for solving equations of higher degrees.
In mathematics, the lemniscate constantϖ is a transcendental mathematical constant that is the ratio of the perimeter of Bernoulli's lemniscate to its diameter, analogous to the definition of π for the circle. Equivalently, the perimeter of the lemniscate is 2ϖ. The lemniscate constant is closely related to the lemniscate elliptic functions and approximately equal to 2.62205755. It also appears in evaluation of the gamma and beta function at certain rational values. The symbol ϖ is a cursive variant of π; see Pi § Variant pi.
In mathematics, the lemniscate elliptic functions are elliptic functions related to the arc length of the lemniscate of Bernoulli. They were first studied by Giulio Fagnano in 1718 and later by Leonhard Euler and Carl Friedrich Gauss, among others.
In computing and mathematics, the function atan2 is the 2-argument arctangent. By definition, is the angle measure between the positive -axis and the ray from the origin to the point in the Cartesian plane. Equivalently, is the argument of the complex number
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In geometry, a ball is a region in a space comprising all points within a fixed distance, called the radius, from a given point; that is, it is the region enclosed by a sphere or hypersphere. An n-ball is a ball in an n-dimensional Euclidean space. The volume of a n-ball is the Lebesgue measure of this ball, which generalizes to any dimension the usual volume of a ball in 3-dimensional space. The volume of a n-ball of radius R is where is the volume of the unit n-ball, the n-ball of radius 1.
In mathematics, the Dixon elliptic functions sm and cm are two elliptic functions that map from each regular hexagon in a hexagonal tiling to the whole complex plane. Because these functions satisfy the identity , as real functions they parametrize the cubic Fermat curve , just as the trigonometric functions sine and cosine parametrize the unit circle .