Quaternion
×  1  i  j  k 

1  1  i  j  k 
i  i  −1  k  −j 
j  j  −k  −1  i 
k  k  j  −i  −1 
In mathematics, the quaternions are a number system that extends the complex numbers. They were first described by Irish mathematician William Rowan Hamilton in 1843^{[1]}^{[2]} and applied to mechanics in threedimensional space. A feature of quaternions is that multiplication of two quaternions is noncommutative. Hamilton defined a quaternion as the quotient of two directed lines in a threedimensional space^{[3]} or equivalently as the quotient of two vectors.^{[4]}
Quaternions are generally represented in the form:
where a, b, c, and d are real numbers, and i, j, and k are the fundamental quaternion units.
Quaternions find uses in both theoretical and applied mathematics, in particular for calculations involving threedimensional rotations such as in threedimensional computer graphics, computer vision, and crystallographic texture analysis.^{[5]} In practical applications, they can be used alongside other methods, such as Euler angles and rotation matrices, or as an alternative to them, depending on the application.
In modern mathematical language, quaternions form a fourdimensional associative normed division algebra over the real numbers, and therefore also a domain. In fact, the quaternions were the first noncommutative division algebra to be discovered. The algebra of quaternions is often denoted by H (for Hamilton), or in blackboard bold by (Unicode U+210D, ℍ). It can also be given by the Clifford algebra classifications Cℓ_{0,2}(ℝ) ≅ Cℓ^{0}_{3,0}(ℝ). The algebra ℍ holds a special place in analysis since, according to the Frobenius theorem, it is one of only two finitedimensional division rings containing the real numbers as a proper subring, the other being the complex numbers. These rings are also Euclidean Hurwitz algebras, of which quaternions are the largest associative algebra. Further extending the quaternions yields the nonassociative octonions, which is the last normed division algebra over the reals (the extension of the octonions, sedenions, has zero divisors and so cannot be a normed division algebra).^{[6]}
The unit quaternions can be thought of as a choice of a group structure on the 3sphere S^{3} that gives the group Spin(3), which is isomorphic to SU(2) and also to the universal cover of SO(3).
Contents
 1 History
 2 Definition
 3 Conjugation, the norm, and reciprocal
 4 Algebraic properties
 5 Quaternions and the geometry of R^{3}
 6 Matrix representations
 7 Lagrange’s four square theorem
 8 Quaternions as pairs of complex numbers
 9 Square roots of −1
 10 Functions of a quaternion variable
 11 Threedimensional and fourdimensional rotation groups
 12 Quaternion algebras
 13 Quaternions as the even part of Cℓ_{3,0}(R)
 14 Brauer group
 15 Quotations
 16 See also
 17 Notes
 18 References
 19 External articles and resources
History
Quaternions were introduced by Hamilton in 1843.^{[7]} Important precursors to this work included Euler's foursquare identity (1748) and Olinde Rodrigues' parameterization of general rotations by four parameters (1840), but neither of these writers treated the fourparameter rotations as an algebra.^{[8]}^{[9]} Carl Friedrich Gauss had also discovered quaternions in 1819, but this work was not published until 1900.^{[10]}^{[11]}
Hamilton knew that the complex numbers could be interpreted as points in a plane, and he was looking for a way to do the same for points in threedimensional space. Points in space can be represented by their coordinates, which are triples of numbers, and for many years he had known how to add and subtract triples of numbers. However, Hamilton had been stuck on the problem of multiplication and division for a long time. He could not figure out how to calculate the quotient of the coordinates of two points in space.
The great breakthrough in quaternions finally came on Monday 16 October 1843 in Dublin, when Hamilton was on his way to the Royal Irish Academy where he was going to preside at a council meeting. As he walked along the towpath of the Royal Canal with his wife, the concepts behind quaternions were taking shape in his mind. When the answer dawned on him, Hamilton could not resist the urge to carve the formula for the quaternions,
into the stone of Brougham Bridge as he paused on it.
On the following day, Hamilton wrote a letter to his friend and fellow mathematician, John T. Graves, describing the train of thought that led to his discovery. This letter was later published in a letter to a science magazine;^{[12]} Hamilton states:
And here there dawned on me the notion that we must admit, in some sense, a fourth dimension of space for the purpose of calculating with triples ... An electric circuit seemed to close, and a spark flashed forth.^{[12]}
Hamilton called a quadruple with these rules of multiplication a quaternion, and he devoted most of the remainder of his life to studying and teaching them. Hamilton's treatment is more geometric than the modern approach, which emphasizes quaternions' algebraic properties. He founded a school of "quaternionists", and he tried to popularize quaternions in several books. The last and longest of his books, Elements of Quaternions,^{[13]} was 800 pages long; it was edited by his son and published shortly after his death.
After Hamilton's death, his student Peter Tait continued promoting quaternions. At this time, quaternions were a mandatory examination topic in Dublin. Topics in physics and geometry that would now be described using vectors, such as kinematics in space and Maxwell's equations, were described entirely in terms of quaternions. There was even a professional research association, the Quaternion Society, devoted to the study of quaternions and other hypercomplex number systems.
From the mid1880s, quaternions began to be displaced by vector analysis, which had been developed by Josiah Willard Gibbs, Oliver Heaviside, and Hermann von Helmholtz. Vector analysis described the same phenomena as quaternions, so it borrowed some ideas and terminology liberally from the literature of quaternions. However, vector analysis was conceptually simpler and notationally cleaner, and eventually quaternions were relegated to a minor role in mathematics and physics. A sideeffect of this transition is that Hamilton's work is difficult to comprehend for many modern readers. Hamilton's original definitions are unfamiliar and his writing style was wordy and difficult to understand.
However, quaternions have had a revival since the late 20th century, primarily due to their utility in describing spatial rotations. The representations of rotations by quaternions are more compact and quicker to compute than the representations by matrices. In addition, unlike Euler angles they are not susceptible to “gimbal lock”. For this reason, quaternions are used in computer graphics,^{[14]}^{[15]} computer vision, robotics^{[16]}, control theory, signal processing, attitude control, physics, bioinformatics,^{[17]}^{[18]} molecular dynamics, computer simulations, and orbital mechanics. For example, it is common for the attitude control systems of spacecraft to be commanded in terms of quaternions. Quaternions have received another boost from number theory because of their relationships with the quadratic forms.^{[19]}
Since 1989, the Department of Mathematics of the National University of Ireland, Maynooth has organized a pilgrimage, where scientists (including the physicists Murray GellMann in 2002, Steven Weinberg in 2005, and the mathematician Andrew Wiles in 2003) walk from Dunsink Observatory to the Royal Canal bridge. Hamilton's carving is no longer visible.
Quaternions in physics
P.R. Girard's essay The quaternion group and modern physics^{[20]} discusses some roles of quaternions in physics. It "shows how various physical covariance groups: SO(3), the Lorentz group, the general relativity group, the Clifford algebra SU(2), and the conformal group can be readily related to the quaternion group" in modern algebra. Girard began by discussing group representations and by representing some space groups of crystallography. He proceeded to kinematics of rigid body motion. Next he used complex quaternions (biquaternions) to represent the Lorentz group of special relativity, including the Thomas precession. He cited five authors, beginning with Ludwik Silberstein, who used a potential function of one quaternion variable to express Maxwell's equations in a single differential equation. Concerning general relativity, he expressed the Runge–Lenz vector. He mentioned the Clifford biquaternions (splitbiquaternions) as an instance of Clifford algebra. Finally, invoking the reciprocal of a biquaternion, Girard described conformal maps on spacetime. Among the fifty references, Girard included Alexander Macfarlane and his Bulletin of the Quaternion Society. In 1999 he showed how Einstein's equations of general relativity could be formulated within a Clifford algebra that is directly linked to quaternions.^{[21]}
The finding of 1924 that in quantum mechanics the spin of an electron can be described using quaternions furthered their revival; they helped to understand how rotations of electrons by 360° can be discerned from those by 720° (the “Plate trick”).^{[22]} As of 2018^{[update]}, their use has not overtaken rotation groups.^{[a]}
Definition
A quaternion is an expression of the form
where a, b, c, d, are real numbers, and i, j, k, are symbols that can be interpreted as unitvectors pointing along the three spatial axes. In practice, if one of a, b, c, d is 0, the corresponding term is omitted; if a, b, c, d are all zero, the quaternion is the zero quaternion, denoted 0; if one of b, c, d equals 1, the corresponding term is written simply i, j, or k.
Hamilton describes a quaternion , as consisting of a scalar part and a vector part. The quaternion is called the vector part (sometimes imaginary part) of q, and a is the scalar part (sometimes real part) of q. A quaternion that equals its real part (that is, its vector part is zero) is called a scalar, and is identified with the corresponding real number. That is, the real numbers are a subset of the quaternions. A quaternion that equals its vector part is called a vector quaternion.
The set of quaternions is made a 4 dimensional vector space over the real numbers, with as a basis, by the componentwise addition
and the componentwise scalar multiplication
A multiplicative group structure, called the Hamilton product, denoted by juxtaposition, can be defined on the quaternions in the following way:
 The real quaternion 1 is the identity element.
 The real quaternions commute with all other quaternions, that is aq = qa for every quaternion q and every real quaternion a. In algebraic terminology this is to say that the field of real quaternions are the center of this quaternion algebra.
 The product is first given for the basis elements (see next subsection), and then extended to all quaternions by using the distributive property and the center property of the real quaternions. The Hamilton product is not commutative, but associative, thus the quaternions form an associative algebra over the reals.
 Additionally, every nonzero quaternion has an inverse with respect to the Hamilton product:
Thus the quaternions form a division algebra.
Multiplication of basis elements
×  1  i  j  k 

1  1  i  j  k 
i  i  −1  k  −j 
j  j  −k  −1  i 
k  k  j  −i  −1 
The basis elements i, j, and k commute with the real quaternion 1, that is
The other products of basis elements are defined by
and
These multiplication formulas are equivalent to
In fact, the equality ijk = –1 results from
The converse implication results from manipulations similar to the following. By rightmultiplying both sides of −1 = ijk by –k, one gets
All other products can be determined by similar methods.
Center
The center of a noncommutative ring is the subring of elements c such that cx = xc for every x. The center of the quaternion algebra is the subfield of real quaternions. In fact, it is a part of the definition that the real quaternions belong to the center. Conversely, if q = a + bi + cj + dk belongs to the center, then
and c = d = 0. A similar computation with j instead of i shows that one has also b = 0. Thus q = a is a real quaternion.
The noncommutativity of multiplication has some unexpected consequences, among them that polynomial equations over the quaternions can have more distinct solutions than the degree of the polynomial. For example, the equation z^{2} + 1 = 0, has infinitely many quaternion solutions, which are the quaternions z = bi + cj + dk such that b^{2} + c^{2} + d^{2} = 1. Thus these "roots of –1" form a unit sphere in the threedimensional space of vector quaternions.
Hamilton product
For two elements a_{1} + b_{1}i + c_{1}j + d_{1}k and a_{2} + b_{2}i + c_{2}j + d_{2}k, their product, called the Hamilton product (a_{1} + b_{1}i + c_{1}j + d_{1}k) (a_{2} + b_{2}i + c_{2}j + d_{2}k), is determined by the products of the basis elements and the distributive law. The distributive law makes it possible to expand the product so that it is a sum of products of basis elements. This gives the following expression:
Now the basis elements can be multiplied using the rules given above to get:^{[7]}
The product of two rotation quaternions^{[23]} will be equivalent to the rotation a_{2} + b_{2}i + c_{2}j + d_{2}k followed by the rotation a_{1} + b_{1}i + c_{1}j + d_{1}k.
Scalar and vector parts
A quaternion of the form a + 0i + 0j + 0k, where a is a real number, is called scalar, and a quaternion of the form 0 + bi + cj + dk, where b, c, and d are real numbers, and at least one of b, c or d is nonzero, is called a vector quaternion. If a + bi + cj + dk is any quaternion, then a is called its scalar part and bi + cj + dk is called its vector part. Even though every quaternion can be viewed as a vector in a fourdimensional vector space, it is common to define refer to the vector part as vectors in threedimensional space. With this convention, a vector is the same as an element of the vector space R^{3}.^{[b]}
Hamilton also called vector quaternions right quaternions^{[24]}^{[25]} and real numbers (considered as quaternions with zero vector part) scalar quaternions.
If a quaternion is divided up into a scalar part and a vector part, i.e.
then the formulas for addition and multiplication are:
where "·" is the dot product and "×" is the cross product.
Conjugation, the norm, and reciprocal
Conjugation of quaternions is analogous to conjugation of complex numbers and to transposition (also known as reversal) of elements of Clifford algebras. To define it, let be a quaternion. The conjugate of q is the quaternion . It is denoted by q^{∗}, q,^{[7]} q^{t}, or . Conjugation is an involution, meaning that it is its own inverse, so conjugating an element twice returns the original element. The conjugate of a product of two quaternions is the product of the conjugates in the reverse order. That is, if p and q are quaternions, then (pq)^{∗} = q^{∗}p^{∗}, not p^{∗}q^{∗}.
Unlike the situation in the complex plane, the conjugation of a quaternion can be expressed entirely with multiplication and addition:
Conjugation can be used to extract the scalar and vector parts of a quaternion. The scalar part of p is (p + p^{∗}) / 2, and the vector part of p is (p − p^{∗}) / 2.
The square root of the product of a quaternion with its conjugate is called its norm and is denoted q (Hamilton called this quantity the tensor of q, but this conflicts with modern meaning of "tensor"). In formula, this is expressed as follows:
This is always a nonnegative real number, and it is the same as the Euclidean norm on H considered as the vector space R^{4}. Multiplying a quaternion by a real number scales its norm by the absolute value of the number. That is, if α is real, then
This is a special case of the fact that the norm is multiplicative, meaning that
for any two quaternions p and q. Multiplicativity is a consequence of the formula for the conjugate of a product. Alternatively it follows from the identity
(where i denotes the usual imaginary unit) and hence from the multiplicative property of determinants of square matrices.
This norm makes it possible to define the distance d(p, q) between p and q as the norm of their difference:
This makes H into a metric space. Addition and multiplication are continuous in the metric topology. Indeed, for any scalar, positive a it holds
Continuity follows from taking a to zero in the limit. Continuity for multiplication holds similarly.
Unit quaternion
A unit quaternion is a quaternion of norm one. Dividing a nonzero quaternion q by its norm produces a unit quaternion Uq called the versor of q:
Every quaternion has a polar decomposition .
Using conjugation and the norm makes it possible to define the reciprocal of a nonzero quaternion. The product of a quaternion with its reciprocal should equal 1, and the considerations above imply that the product of and (in either order) is 1. So the reciprocal of q is defined to be
This makes it possible to divide two quaternions p and q in two different ways (when q is nonzero). That is, their quotient can be either p q^{−1} or q^{−1}p. The notation p/q is ambiguous because it does not specify whether q divides on the left or the right.
Algebraic properties
The set H of all quaternions is a vector space over the real numbers with dimension 4. (In comparison, the real numbers have dimension 1, the complex numbers have dimension 2, and the octonions have dimension 8.) Multiplication of quaternions is associative and distributes over vector addition, but it is not commutative. Therefore, the quaternions H are a noncommutative associative algebra over the real numbers. Even though H contains copies of the complex numbers, it is not an associative algebra over the complex numbers.
Because it is possible to divide quaternions, they form a division algebra. This is a structure similar to a field except for the noncommutativity of multiplication. Finitedimensional associative division algebras over the real numbers are very rare. The Frobenius theorem states that there are exactly three: R, C, and H. The norm makes the quaternions into a normed algebra, and normed division algebras over the reals are also very rare: Hurwitz's theorem says that there are only four: R, C, H, and O (the octonions). The quaternions are also an example of a composition algebra and of a unital Banach algebra.
Because the product of any two basis vectors is plus or minus another basis vector, the set {±1, ±i, ±j, ±k} forms a group under multiplication. This nonAbelian Group is called the quaternion group and is denoted Q_{8}.^{[26]} The real group ring of Q_{8} is a ring R[Q_{8}] which is also an eightdimensional vector space over R. It has one basis vector for each element of Q_{8}. The quaternions are the quotient ring of R[Q_{8}] by the ideal generated by the elements 1 + (−1), i + (−i), j + (−j), and k + (−k). Here the first term in each of the differences is one of the basis elements 1, i, j, and k, and the second term is one of basis elements −1, −i, −j, and −k, not the additive inverses of 1, i, j, and k.
Quaternions and the geometry of R^{3}
The vector part of a quaternion can be interpreted as a coordinate vector in R^{3}, therefore the algebraic operations of the quaternions reflect the geometry of R^{3}. Operations such as the vector dot and cross products can be defined in terms of quaternions, and this makes it possible to apply quaternion techniques wherever spatial vectors arise. A useful application of quaternions has been to interpolate the orientations of keyframes in computer graphics.^{[14]}
For the remainder of this section, i, j, and k will denote both the three imaginary^{[27]} basis vectors of H and a basis for R^{3}. Notice that replacing i by −i, j by −j, and k by −k sends a vector to its additive inverse, so the additive inverse of a vector is the same as its conjugate as a quaternion. For this reason, conjugation is sometimes called the spatial inverse.
For two vector quaternions p = b_{1}i + c_{1}j + d_{1}k and q = b_{2}i + c_{2}j + d_{2}k their dot product, by analogy to vectors in R^{3}, is
It can also be expressed in a componentfree manner as
This is equal to the scalar parts of the products pq^{∗}, qp^{∗}, p^{∗}q, and q^{∗}p. Note that their vector parts are different.
The cross product of p and q relative to the orientation determined by the ordered basis i, j, and k is
(Recall that the orientation is necessary to determine the sign.) This is equal to the vector part of the product pq (as quaternions), as well as the vector part of −q^{∗}p^{∗}. It also has the formula
For the commutator, [p, q] = pq − qp, of two vector quaternions one obtains
In general, let p and q be quaternions and write
where p_{s} and q_{s} are the scalar parts, and and are the vector parts of p and q. Then we have the formula
This shows that the noncommutativity of quaternion multiplication comes from the multiplication of vector quaternions. It also shows that two quaternions commute if and only if their vector parts are collinear. Hamilton^{[28]} showed that this product computes the third vertex of a spherical triangle from two given vertices and their associated arclengths, which is also an algebra of points in Elliptic geometry.
Unit quaternions can be identified with rotations in R^{3} and were called versors by Hamilton^{[28]}. Also see Quaternions and spatial rotation for more information about modeling threedimensional rotations using quaternions.
See Andrew J. Hanson.^{[29]} for visualization of quaternions,
Matrix representations
Just as complex numbers can be represented as matrices, so can quaternions. There are at least two ways of representing quaternions as matrices in such a way that quaternion addition and multiplication correspond to matrix addition and matrix multiplication. One is to use 2 × 2 complex matrices, and the other is to use 4 × 4 real matrices. In each case, the representation given is one of a family of linearly related representations. In the terminology of abstract algebra, these are injective homomorphisms from H to the matrix rings M(2, C) and M(4, R), respectively.
Using 2 × 2 complex matrices, the quaternion a + bi + cj + dk can be represented as
This representation has the following properties:
 Constraining any two of b, c and d to zero produces a representation of complex numbers. For example, setting c = d = 0 produces a diagonal complex matrix representation of complex numbers, and setting b = d = 0 produces a real matrix representation.
 The norm of a quaternion (the square root of the product with its conjugate, as with complex numbers) is the square root of the determinant of the corresponding matrix.^{[30]}
 The conjugate of a quaternion corresponds to the conjugate transpose of the matrix.
 By restriction this representation yields an isomorphism between the subgroup of unit quaternions and their image SU(2). Topologically, the unit quaternions are the 3sphere, so the underlying space of SU(2) is also a 3sphere. The group SU(2) is important for describing spin in quantum mechanics; see Pauli matrices.
 There is a strong relation between quaternion units and Pauli matrices. Obtain the eight quaternion unit matrices by taking a, b, c and d, set three of them at zero and the fourth at 1 or −1. Multiplying any two Pauli matrices always yields a quaternion unit matrix, all of them except for −1. One obtains −1 via i^{2} = j^{2} = k^{2} = ijk = −1. E.g. the last equality is
Using 4 × 4 real matrices, that same quaternion can be written as
However, the representation of quaternions in M(4,ℝ) is not unique. For example, the same quaternion can also be represented as
In fact, there exist 48 distinct representations of this form. More precisely, there are 48 sets of quadruples of matrices such that a function sending 1, i, j, and k to the matrices in the quadruple is a homomorphism, that is, it sends sums and products of quaternions to sums and products of matrices.^{[31]} In this representation, the conjugate of a quaternion corresponds to the transpose of the matrix. The fourth power of the norm of a quaternion is the determinant of the corresponding matrix. As with the 2 × 2 complex representation above, complex numbers can again be produced by constraining the coefficients suitably; for example, as block diagonal matrices with two 2 × 2 blocks by setting c = d = 0.
Each 4x4 matrix representation of quaternions corresponds to a multiplication table of unit quaternions. For example, the last matrix representation given above corresponds to the multiplication table
×  a  d  −b  −c 

a  a  d  −b  −c 
−d  −d  a  c  −b 
b  b  −c  a  −d 
c  c  b  d  a 
which is isomorphic — through — to
×  1  k  −i  −j 

1  1  k  −i  −j 
−k  −k  1  j  −i 
i  i  −j  1  −k 
j  j  i  k  1 
Constraining any such multiplication table to have the identity in the first row and column and for the signs of the row headers to be opposite to those of the column headers, then there are 3 possible choices for the second column (ignoring sign), 2 possible choices for the third column (ignoring sign), and 1 possible choice for the fourth column (ignoring sign); that makes 6 possibilities. Then, the second column can be chosen to be either positive or negative, the third column can be chosen to be positive or negative, and the fourth column can be chosen to be positive or negative, giving 8 possibilities for the sign. Multiplying the possibilities for the letter positions and for their signs yields 48. Then replacing 1 with a, i with b, j with c, and k with d and removing the row and column headers yields a matrix representation of a + bi + cj + dk.
Lagrange’s four square theorem
Quaternions are also used in one of the proofs of Lagrange's foursquare theorem in number theory, which states that every nonnegative integer is the sum of four integer squares. As well as being an elegant theorem in its own right, Lagrange's four square theorem has useful applications in areas of mathematics outside number theory, such as combinatorial design theory. The quaternionbased proof uses Hurwitz quaternions, a subring of the ring of all quaternions for which there is an analog of the Euclidean algorithm.
Quaternions as pairs of complex numbers
Quaternions can be represented as pairs of complex numbers. From this perspective, quaternions are the result of applying the Cayley–Dickson construction to the complex numbers. This is a generalization of the construction of the complex numbers as pairs of real numbers.
Let C^{2} be a twodimensional vector space over the complex numbers. Choose a basis consisting of two elements 1 and j. A vector in C^{2} can be written in terms of the basis elements 1 and j as
If we define j^{2} = −1 and ij = −ji, then we can multiply two vectors using the distributive law. Writing k in place of the product ij leads to the same rules for multiplication as the usual quaternions. Therefore, the above vector of complex numbers corresponds to the quaternion a + bi + cj + dk. If we write the elements of C^{2} as ordered pairs and quaternions as quadruples, then the correspondence is
Square roots of −1
In the complex numbers, C, there are just two numbers, i and −i, whose square is −1 . In H there are infinitely many square roots of minus one: the quaternion solution for the square root of −1 is the unit sphere in R^{3}. To see this, let q = a + bi + cj + dk be a quaternion, and assume that its square is −1. In terms of a, b, c, and d, this means
To satisfy the last three equations, either a = 0 or b, c, and d are all 0. The latter is impossible because a is a real number and the first equation would imply that a^{2} = −1. Therefore, a = 0 and b^{2} + c^{2} + d^{2} = 1. In other words: a quaternion squares to −1 if and only if it is a vector quaternion with norm 1. By definition, the set of all such vectors forms the unit sphere.
Only negative real quaternions have infinitely many square roots. All others have just two (or one in the case of 0).^{[citation needed]}
The identification of the square roots of minus one in H was given by Hamilton^{[32]} but was frequently omitted in other texts. By 1971 the sphere was included by Sam Perlis in his threepage exposition included in Historical Topics in Algebra (page 39) published by the National Council of Teachers of Mathematics. More recently, the sphere of square roots of minus one is described in Ian R. Porteous's book Clifford Algebras and the Classical Groups (Cambridge, 1995) in proposition 8.13 on page 60.
H as a union of complex planes
Each pair of square roots of −1 creates a distinct copy of the complex numbers inside the quaternions. If q^{2} = −1, then the copy is determined by the function
In the language of abstract algebra, each is an injective ring homomorphism from C to H. The images of the embeddings corresponding to q and −q are identical.
Every nonreal quaternion lies in a subspace of H isomorphic to C. Write q as the sum of its scalar part and its vector part:
Decompose the vector part further as the product of its norm and its versor:
(Note that this is not the same as .) The versor of the vector part of q, , is a unit vector quaternion, so its square is −1. Therefore, it determines a copy of the complex numbers by the function
Under this function, q is the image of the complex number . Thus H is the union of complex planes intersecting in a common real line, where the union is taken over the sphere of square roots of minus one, bearing in mind that the same plane is associated with the antipodal points of the sphere.
Commutative subrings
The relationship of quaternions to each other within the complex subplanes of H can also be identified and expressed in terms of commutative subrings. Specifically, since two quaternions p and q commute (i.e., pq = qp) only if they lie in the same complex subplane of H, the profile of H as a union of complex planes arises when one seeks to find all commutative subrings of the quaternion ring. This method of commutative subrings is also used to profile the splitquaternions, which as an algebra over the reals are isomorphic to 2 × 2 real matrices.
Functions of a quaternion variable
Like functions of a complex variable, functions of a quaternion variable suggest useful physical models. For example, the original electric and magnetic fields described by Maxwell were functions of a quaternion variable. Examples of other functions include the extension of the Mandelbrot set and Julia sets into 4 dimensional space.^{[33]}
Exponential, logarithm, and power functions
Given a quaternion,
the exponential is computed as
 .^{[34]}
It follows that the polar decomposition of a quaternion may be written
where the angle and the unit vector are defined by:
and
Any unit quaternion may be expressed in polar form as .
The power of a quaternion raised to an arbitrary (real) exponent is given by:
Threedimensional and fourdimensional rotation groups
The term "conjugation", besides the meaning given above, can also mean taking an element a to rar^{−1} where r is some nonzero quaternion. All elements that are conjugate to a given element (in this sense of the word conjugate) have the same real part and the same norm of the vector part. (Thus the conjugate in the other sense is one of the conjugates in this sense.)
Thus the multiplicative group of nonzero quaternions acts by conjugation on the copy of R^{3} consisting of quaternions with real part equal to zero. Conjugation by a unit quaternion (a quaternion of absolute value 1) with real part cos(θ) is a rotation by an angle 2θ, the axis of the rotation being the direction of the vector part. The advantages of quaternions are:
 Avoiding gimbal lock, a problem with systems such as Euler angles.
 Faster and more compact than matrices.
 Nonsingular representation (compared with Euler angles for example).
 Pairs of unit quaternions represent a rotation in 4D space (see Rotations in 4dimensional Euclidean space: Algebra of 4D rotations).
The set of all unit quaternions (versors) forms a 3sphere S^{3} and a group (a Lie group) under multiplication, double covering the group SO(3, R) of real orthogonal 3×3 matrices of determinant 1 since two unit quaternions correspond to every rotation under the above correspondence. See the plate trick.
The image of a subgroup of versors is a point group, and conversely, the preimage of a point group is a subgroup of versors. The preimage of a finite point group is called by the same name, with the prefix binary. For instance, the preimage of the icosahedral group is the binary icosahedral group.
The versors' group is isomorphic to SU(2), the group of complex unitary 2×2 matrices of determinant 1.
Let A be the set of quaternions of the form a + bi + cj + dk where a, b, c, and d are either all integers or all rational numbers with odd numerator and denominator 2. The set A is a ring (in fact a domain) and a lattice and is called the ring of Hurwitz quaternions. There are 24 unit quaternions in this ring, and they are the vertices of a regular 24cell with Schläfli symbol {3,4,3}. They correspond to the double cover of the rotational symmetry group of the regular tetrahedron. Similarly, the vertices of a regular 600cell with Schläfli symbol {3,3,5} can be taken as the unit icosians, corresponding to the double cover of the rotational symmetry group of the regular icosahedron. The double cover of the rotational symmetry group of the regular octahedron corresponds to the quaternions that represent the vertices of the disphenoidal 288cell.
Quaternion algebras
The Quaternions can be generalized into further algebras called quaternion algebras. Take F to be any field with characteristic different from 2, and a and b to be elements of F; a fourdimensional unitary associative algebra can be defined over F with basis 1, i, j, and ij, where i^{2} = a, j^{2} = b and ij = −ji (so (ij)^{2} = −ab).
Quaternion algebras are isomorphic to the algebra of 2×2 matrices over F or form division algebras over F, depending on the choice of a and b.
Quaternions as the even part of Cℓ_{3,0}(R)
The usefulness of quaternions for geometrical computations can be generalised to other dimensions by identifying the quaternions as the even part Cℓ^{+}_{3,0}(R) of the Clifford algebra Cℓ_{3,0}(R). This is an associative multivector algebra built up from fundamental basis elements σ_{1}, σ_{2}, σ_{3} using the product rules
If these fundamental basis elements are taken to represent vectors in 3D space, then it turns out that the reflection of a vector r in a plane perpendicular to a unit vector w can be written:
Two reflections make a rotation by an angle twice the angle between the two reflection planes, so
corresponds to a rotation of 180° in the plane containing σ_{1} and σ_{2}. This is very similar to the corresponding quaternion formula,
In fact, the two are identical, if we make the identification
and it is straightforward to confirm that this preserves the Hamilton relations
In this picture, quaternions correspond not to vectors but to bivectors – quantities with magnitude and orientations associated with particular 2D planes rather than 1D directions. The relation to complex numbers becomes clearer, too: in 2D, with two vector directions σ_{1} and σ_{2}, there is only one bivector basis element σ_{1}σ_{2}, so only one imaginary. But in 3D, with three vector directions, there are three bivector basis elements σ_{1}σ_{2}, σ_{2}σ_{3}, σ_{3}σ_{1}, so three imaginaries.
This reasoning extends further. In the Clifford algebra Cℓ_{4,0}(R), there are six bivector basis elements, since with four different basic vector directions, six different pairs and therefore six different linearly independent planes can be defined. Rotations in such spaces using these generalisations of quaternions, called rotors, can be very useful for applications involving homogeneous coordinates. But it is only in 3D that the number of basis bivectors equals the number of basis vectors, and each bivector can be identified as a pseudovector.
There are several advantages for placing quaternions in this wider setting:^{[35]}
 Rotors are a natural part of geometric algebra and easily understood as the encoding of a double reflection.
 In geometric algebra, a rotor and the objects it acts on live in the same space. This eliminates the need to change representations and to encode new data structures and methods, which is traditionally required when augmenting linear algebra with quaternions.
 Rotors are universally applicable to any element of the algebra, not just vectors and other quaternions, but also lines, planes, circles, spheres, rays, and so on.
 In the conformal model of Euclidean geometry, rotors allow the encoding of rotation, translation and scaling in a single element of the algebra, universally acting on any element. In particular, this means that rotors can represent rotations around an arbitrary axis, whereas quaternions are limited to an axis through the origin.
 Rotorencoded transformations make interpolation particularly straightforward.
For further detail about the geometrical uses of Clifford algebras, see Geometric algebra.
Brauer group
The quaternions are "essentially" the only (nontrivial) central simple algebra (CSA) over the real numbers, in the sense that every CSA over the reals is Brauer equivalent to either the reals or the quaternions. Explicitly, the Brauer group of the reals consists of two classes, represented by the reals and the quaternions, where the Brauer group is the set of all CSAs, up to equivalence relation of one CSA being a matrix ring over another. By the Artin–Wedderburn theorem (specifically, Wedderburn's part), CSAs are all matrix algebras over a division algebra, and thus the quaternions are the only nontrivial division algebra over the reals.
CSAs – rings over a field, which are simple algebras (have no nontrivial 2sided ideals, just as with fields) whose center is exactly the field – are a noncommutative analog of extension fields, and are more restrictive than general ring extensions. The fact that the quaternions are the only nontrivial CSA over the reals (up to equivalence) may be compared with the fact that the complex numbers are the only nontrivial field extension of the reals.
Quotations
 "I regard it as an inelegance, or imperfection, in quaternions, or rather in the state to which it has been hitherto unfolded, whenever it becomes or seems to become necessary to have recourse to x, y, z, etc." — William Rowan Hamilton [Quoted in a letter from Tait to Cayley].
 "Time is said to have only one dimension, and space to have three dimensions. […] The mathematical quaternion partakes of both these elements; in technical language it may be said to be "time plus space", or "space plus time": and in this sense it has, or at least involves a reference to, four dimensions. And how the One of Time, of Space the Three, Might in the Chain of Symbols girdled be." — William Rowan Hamilton [Quoted in R.P. Graves, Life of Sir William Rowan Hamilton].
 "Quaternions came from Hamilton after his really good work had been done; and, though beautifully ingenious, have been an unmixed evil to those who have touched them in any way, including Clerk Maxwell." — W. Thompson, Lord Kelvin. (1892).
 "I came later to see that, as far as the vector analysis I required was concerned, the quaternion was not only not required, but was a positive evil of no inconsiderable magnitude; and that by its avoidance the establishment of vector analysis was made quite simple and its working also simplified, and that it could be conveniently harmonised with ordinary Cartesian work." — Oliver Heaviside. (1893). Electromagnetic Theory volume I, pp. 134–135. London: The Electrician Printing and Publishing Company.
 "Neither matrices nor quaternions and ordinary vectors were banished from these ten [additional] chapters. For, in spite of the uncontested power of the modern Tensor Calculus, those older mathematical languages continue, in my opinion, to offer conspicuous advantages in the restricted field of special relativity. Moreover, in science as well as in everyday life, the mastery of more than one language is also precious, as it broadens our views, is conducive to criticism with regard to, and guards against hypostasy [weakfoundation] of, the matter expressed by words or mathematical symbols." — Ludwik Silberstein. (1924). Notes on preparing the second edition of his Theory of Relativity.
 "... quaternions appear to exude an air of nineteenth century decay, as a rather unsuccessful species in the struggleforlife of mathematical ideas. Mathematicians, admittedly, still keep a warm place in their hearts for the remarkable algebraic properties of quaternions but, alas, such enthusiasm means little to the harderheaded physical scientist." — Simon L. Altmann. (1986).
See also
 3sphere
 Associative algebra
 Biquaternion
 Clifford algebra
 Complex number
 Conversion between quaternions and Euler angles
 Division algebra
 Dual quaternion
 Euler angles
 Exterior algebra
 Geometric algebra
 Hurwitz quaternion
 Hurwitz quaternion order
 Hyperbolic quaternion
 Hypercomplex number
 Lénárt sphere
 Octonion
 Pauli matrices
 Quaternion group
 Quaternion variable
 Quaternionic matrix
 Quaternionic projective space
 Quaternions and spatial rotation
 Rotation operator (vector space)
 Rotations in 4dimensional Euclidean space
 Slerp
 Splitquaternion
 Tesseract
Notes
 ^ A more personal view of quaternions was written by Joachim Lambek in 1995. He wrote in his essay If Hamilton had prevailed: quaternions in physics: "My own interest as a graduate student was raised by the inspiring book by Silberstein". He concluded by stating "I firmly believe that quaternions can supply a shortcut for pure mathematicians who wish to familiarize themselves with certain aspects of theoretical physics." Lambek, J. (1995). "If Hamilton had prevailed: Quaternions in physics". Math. Intelligencer. Vol. 17 no. 4. pp. 7–15. doi:10.1007/BF03024783.
 ^ It is important to note that the vector part of a quaternion is, in truth, an "axial" vector or "pseudovector", not an ordinary or "polar" vector, as was formally proven by S.L. Altmann in Ch. 12 of his 1986 book, Rotations, Quaternions and Double Groups. A polar vector can be represented in calculations (for example, for rotation by a quaternion "similarity transform") by a pure imaginary quaternion, with no loss of information, but the two should not be confused. The axis of a "binary" (180°) rotation quaternion corresponds to the direction of the represented polar vector in such a case.
References
 ^ On Quaternions; or on a new System of Imaginaries in Algebra (letter to John T. Graves, dated 17 October 1843). 1843.
 ^ Boris Abramovich Rozenfelʹd (1988). The history of noneuclidean geometry: Evolution of the concept of a geometric space. Springer. p. 385. ISBN 9780387964584.
 ^ Hamilton. Hodges and Smith. 1853. p. 60.
 ^ Hardy 1881 pg. 32. Ginn, Heath, & co. 1881.
 ^ Karsten Kunze & Helmut Schaeben (November 2004). "The Bingham distribution of quaternions and its spherical radon transform in texture analysis". Mathematical Geology. 8 (8): 917–943. doi:10.1023/B:MATG.0000048799.56445.59.
 ^ Frank (Tony) Smith. "Why not sedenion?". Retrieved 8 June 2018.
 ^ ^{a} ^{b} ^{c} See Hazewinkel et al. (2004), p. 12.
 ^ Conway, John Horton; Smith, Derek Alan (2003). On quaternions and octonions: Their geometry, arithmetic, and symmetry. p. 9. ISBN 1568811349.
 ^ Robert E. Bradley, Charles Edward Sandifer (2007). Leonhard Euler: life, work and legacy. p. 193. ISBN 0444527281. . They mention Wilhelm Blaschke's claim in 1959 that "the quaternions were first identified by L. Euler in a letter to Goldbach written on 4 May 1748," and they comment that "it makes no sense whatsoever to say that Euler "identified" the quaternions in this letter ... this claim is absurd."
 ^ Simon L. Altmann (December 1989). "Hamilton, Rodrigues, and the quaternion scandal". Mathematics Magazine. 62 (5): 306. doi:10.2307/2689481. JSTOR 2689481.
 ^ Gauss, C.F. (1900). "Mutationen des Raumes [Transformations of space] (c. 1819)". In Martin Brendel. Carl Friedrich Gauss Werke [The works of Carl Friedrich Gauss]. 8. article edited by Prof. Stäckel of Kiel, Germany. Göttingen, DE: Königlichen Gesellschaft der Wissenschaften [Royal Society of Sciences]. pp. 357–361.
 ^ ^{a} ^{b} Hamilton, W.R. (1844). "Letter". London, Edinburgh, and Dublin Philosophical Magazine and Journal of Science. Vol. xxv. pp. 489–495.
 ^ Hamilton, Sir W.R. (1866). Hamilton, W.E., ed. Elements of Quaternions. London, UK: Longmans, Green, & Co.
 ^ ^{a} ^{b} Ken Shoemake (1985). "Animating Rotation with Quaternion Curves" (PDF). Computer Graphics. 19 (3): 245–254. doi:10.1145/325165.325242. Presented at SIGGRAPH '85.
 ^ Tomb Raider (1996) is often cited as the first massmarket computer game to have used quaternions to achieve smooth threedimensional rotations. See, for example Nick Bobick (July 1998). "Rotating objects using quaternions". Game Developer.
 ^ J. M. McCarthy, 1990, Introduction to Theoretical Kinematics, MIT Press
 ^ Shu, JianJun; Ouw, L.S. (2004). "Pairwise alignment of the DNA sequence using hypercomplex number representation". Bulletin of Mathematical Biology. 66 (5): 1423–1438. arXiv:1403.2658 . doi:10.1016/j.bulm.2004.01.005.
 ^ Shu, JianJun; Li, Y. (2010). "Hypercomplex crosscorrelation of DNA sequences". Journal of Biological Systems. 18 (4): 711–725. arXiv:1402.5341 . doi:10.1142/S0218339010003470.
 ^ Hurwitz, A. (1919), Vorlesungen über die Zahlentheorie der Quaternionen, Berlin: J. Springer, JFM 47.0106.01, concerning Hurwitz quaternions
 ^ Girard, P. R. (1984). "The quaternion group and modern physics". European Journal of Physics. 5: 25–32. Bibcode:1984EJPh....5...25G. doi:10.1088/01430807/5/1/007.
 ^ "Einstein's equations and Clifford algebra" (PDF). Advances in Applied Clifford Algebras. 9 (2): 225–230. 1999. Archived from the original (PDF) on 17 December 2010.
 ^ Huerta, John (27 September 2010). "Introducing The Quaternions" (PDF). Archived (PDF) from the original on 20141021. Retrieved 8 June 2018.

^ "Maths  Transformations using Quaternions". EuclideanSpace.
A rotation of q1 followed by a rotation of q2 is equivalent to a single rotation of q2*q1. Note the reversal of order, that is, we put the first rotation on the right hand side of the multiplication.
 ^ Hamilton, Sir William Rowan (1866). "Article 285". Elements of Quaternions. p. 310.
 ^ Hardy. Elements of Quaternions. library.cornell.edu. p. 65.
 ^ "quaternion group". Wolframalpha.com.
 ^ Vector Analysis. GibbsWilson. 1901. p. 428.
 ^ ^{a} ^{b} William Rowan Hamilton (1844 to 1850) On quaternions or a new system of imaginaries in algebra, Philosophical Magazine, link to David R. Wilkins collection at Trinity College, Dublin
 ^ "Visualizing Quaternions". MorganKaufmann/Elsevier. 2005.
 ^ Wolframalpha.com
 ^ Farebrother, Richard William; Groß, Jürgen; Troschke, SvenOliver (2003). "Matrix representation of quaternions". Linear Algebra and its Applications. 362: 251–255. doi:10.1016/s00243795(02)005359.
 ^ Hamilton (1899). Elements of Quaternions (2nd ed.). p. 244. ISBN 1108001718.
 ^ http://archive.bridgesmathart.org/2010/bridges2010247.pdf retrieved August 19 2018
 ^ Lce.hut.fi
 ^ Quaternions and Geometric Algebra. Accessed 20080912. See also: Leo Dorst, Daniel Fontijne, Stephen Mann, (2007), Geometric Algebra For Computer Science, Morgan Kaufmann. ISBN 0123694655
External articles and resources
Look up quaternion in Wiktionary, the free dictionary. 
Books and publications
The Wikibook Associative Composition Algebra has a page on the topic of: Quaternions 
 Hamilton, William Rowan. On quaternions, or on a new system of imaginaries in algebra. Philosophical Magazine. Vol. 25, n 3. p. 489–495. 1844.
 Hamilton, William Rowan (1853), "Lectures on Quaternions". Royal Irish Academy.
 Hamilton (1866) Elements of Quaternions University of Dublin Press. Edited by William Edwin Hamilton, son of the deceased author.
 Hamilton (1899) Elements of Quaternions volume I, (1901) volume II. Edited by Charles Jasper Joly; published by Longmans, Green & Co..
 Tait, Peter Guthrie (1873), "An elementary treatise on quaternions". 2d ed., Cambridge, [Eng.] : The University Press.
 Maxwell, James Clerk (1873), "A Treatise on Electricity and Magnetism". Clarendon Press, Oxford.
 Tait, Peter Guthrie (1886), ""Archived copy". Archived from the original on August 8, 2014. Retrieved June 26, 2005. ". M.A. Sec. R.S.E. Encyclopædia Britannica, Ninth Edition, 1886, Vol. XX, pp. 160–164. (bzipped PostScript file)
 Joly, Charles Jasper (1905), "A manual of quaternions". London, Macmillan and co., limited; New York, The Macmillan company. LCCN 05036137 //r84
 Macfarlane, Alexander (1906), "Vector analysis and quaternions", 4th ed. 1st thousand. New York, J. Wiley & Sons; [etc., etc.]. LCCN es 16000048
 Chisholm, Hugh, ed. (1911). "Algebra". Encyclopædia Britannica (11th ed.). Cambridge University Press. (See section on quaternions.)
 Finkelstein, David, Josef M. Jauch, Samuel Schiminovich, and David Speiser (1962), "Foundations of quaternion quantum mechanics". J. Math. Phys. 3, pp. 207–220, MathSciNet.
 Du Val, Patrick (1964), "Homographies, quaternions, and rotations". Oxford, Clarendon Press (Oxford mathematical monographs). LCCN 64056979 //r81
 Crowe, Michael J. (1967), A History of Vector Analysis: The Evolution of the Idea of a Vectorial System, University of Notre Dame Press. Surveys the major and minor vector systems of the 19th century (Hamilton, Möbius, Bellavitis, Clifford, Grassmann, Tait, Peirce, Maxwell, Macfarlane, MacAuley, Gibbs, Heaviside).
 Altmann, Simon L. (1986), "Rotations, quaternions, and double groups". Oxford [Oxfordshire] : Clarendon Press ; New York : Oxford University Press. LCCN 85013615 ISBN 0198553722
 Altmann, Simon L. (1989), "Hamilton, Rodrigues, and the Quaternion Scandal". Mathematics Magazine. Vol. 62, No. 5. p. 291–308, December 1989.
 Adler, Stephen L. (1995), "Quaternionic quantum mechanics and quantum fields". New York : Oxford University Press. International series of monographs on physics (Oxford, England) 88. LCCN 94006306 ISBN 019506643X
 Trifonov, Vladimir (1995), "A Linear Solution of the FourDimensionality Problem", Europhysics Letters, 32 (8) 621–626, doi:10.1209/02955075/32/8/001
 Ward, J. P. (1997), "Quaternions and Cayley Numbers: Algebra and Applications", Kluwer Academic Publishers. ISBN 0792345134
 Kantor, I. L. and Solodnikov, A. S. (1989), "Hypercomplex numbers, an elementary introduction to algebras", SpringerVerlag, New York, ISBN 0387969802
 Gürlebeck, Klaus and Sprössig, Wolfgang (1997), "Quaternionic and Clifford calculus for physicists and engineers". Chichester ; New York : Wiley (Mathematical methods in practice; v. 1). LCCN 98169958 ISBN 0471962007
 Kuipers, Jack (2002), "Quaternions and Rotation Sequences: A Primer With Applications to Orbits, Aerospace, and Virtual Reality" (reprint edition), Princeton University Press. ISBN 0691102988
 Conway, John Horton, and Smith, Derek A. (2003), "On Quaternions and Octonions: Their Geometry, Arithmetic, and Symmetry", A. K. Peters, Ltd. ISBN 1568811349 (review).
 Jack, P. M. (2003). Physical space as a quaternion structure, I: Maxwell equations. A brief Note. arXiv:mathph/0307038
 Kravchenko, Vladislav (2003), "Applied Quaternionic Analysis", Heldermann Verlag ISBN 3885382288.
 Michiel Hazewinkel, Nadiya Gubareni, Nadezhda Mikhaĭlovna Gubareni, Vladimir V. Kirichenko. Algebras, rings and modules. Volume 1. 2004. Springer, 2004. ISBN 1402026900
 Hanson, Andrew J. (2006), "Visualizing Quaternions", Elsevier: Morgan Kaufmann; San Francisco. ISBN 0120884003
 Trifonov, Vladimir (2007), "Natural Geometry of Nonzero Quaternions", International Journal of Theoretical Physics, 46 (2) 251–257, doi:10.1007/s1077300692349
 Ernst Binz & Sonja Pods (2008) Geometry of Heisenberg Groups American Mathematical Society, Chapter 1: "The Skew Field of Quaternions" (23 pages) ISBN 9780821844953.
 Chris J. L. Doran; Anthony N. Lasenby (2003). Geometric Algebra for Physicists. Cambridge University Press. ISBN 9780521480222.
 Vince, John A. (2008), Geometric Algebra for Computer Graphics, Springer, ISBN 9781846289965.
 For molecules that can be regarded as classical rigid bodies molecular dynamics computer simulation employs quaternions. They were first introduced for this purpose by D.J. Evans, (1977), "On the Representation of Orientation Space", Mol. Phys., vol 34, p 317.
 Zhang, Fuzhen (1997), "Quaternions and Matrices of Quaternions", Linear Algebra and its Applications, Vol. 251, pp. 21–57.
 Ron Goldman (2010). Rethinking Quaternions: Theory and Computation. Morgan & Claypool Publishers. ISBN 9781608454204.
Links and monographs
 Notices and materials related to Quaternion conference presentations, Quaternion Notices
 Hazewinkel, Michiel, ed. (2001) [1994], "Quaternion", Encyclopedia of Mathematics, Springer Science+Business Media B.V. / Kluwer Academic Publishers, ISBN 9781556080104
 Matrix and Quaternion FAQ v1.21 Frequently Asked Questions
 Doug Sweetser, Doing Physics with Quaternions
 Quaternions for Computer Graphics and Mechanics (Gernot Hoffman)
 The Physical Heritage of Sir W. R. Hamilton (PDF)
 D. R. Wilkins, Hamilton's Research on Quaternions
 Quaternion Julia Fractals 3D Raytraced Quaternion Julia Fractals by David J. Grossman
 Quaternion Math and Conversions Great page explaining basic math with links to straight forward rotation conversion formulae.
 John H. Mathews, Bibliography for Quaternions.
 Quaternion powers on GameDev.net
 Andrew Hanson, Visualizing Quaternions home page.
 Charles F. F. Karney, Quaternions in molecular modeling, J. Mol. Graph. Mod. 25(5), 595–604 (January 2007); doi:10.1016/j.jmgm.2006.04.002; Eprint arxiv:0506177.
 Johan E. Mebius, A matrixbased proof of the quaternion representation theorem for fourdimensional rotations., arXiv General Mathematics 2005.
 Johan E. Mebius, Derivation of the Euler–Rodrigues formula for threedimensional rotations from the general formula for fourdimensional rotations., arXiv General Mathematics 2007.
 NUI Maynooth Department of Mathematics, Hamilton Walk.
 OpenGL:Tutorials:Using Quaternions to represent rotation
 David Erickson, Defence Research and Development Canada (DRDC), Complete derivation of rotation matrix from unitary quaternion representation in DRDC TR 2005228 paper.
 Alberto Martinez, University of Texas Department of History, "Negative Math, How Mathematical Rules Can Be Positively Bent",Utexas.edu
 D. Stahlke, Quaternions in Classical Mechanics Stahlke.org (PDF)
 MorierGenoud, Sophie, and Valentin Ovsienko. "Well, Papa, can you multiply triplets?", arxiv.org describes how the quaternions can be made into a skewcommutative algebra graded by Z/2 × Z/2 × Z/2.
 Curious Quaternions by Helen Joyce hosted by John Baez.
 Luis Ibanez "Tutorial on Quaternions" Part I Part II (PDF; using Hamilton's terminology, which differs from the modern usage)
 R. Ghiloni, V. Moretti, A. Perotti "Continuous slice functional calculus in quaternionic Hilbert spaces," Rev.Math.Phys.25(2013)1350006 and "Spectral representations of normal operators via Intertwining Quaternionic Projection Valued Measures," Rev. Math.Phys.29(2017)1750034 two expository papers about continuous functional calculus and spectral theory in quanternionic Hilbert spaces useful in rigorous quaternionic quantum mechanics.
 Quaternions the Android app shows the quaternion corresponding to the orientation of the device.