All the transformations below fix the origin. A planar rotation preserves lengths and angles and turns every vector through one common oriented angle. Its rotation matrix is
An orthogonal reflection in a line fixes that line and reverses its perpendicular direction; reflection in the horizontal axis has reflection matrix . A uniform dilation multiplies every vector by the same positive scale , represented by ; for example doubles lengths. A shear mapping fixes one line pointwise and shifts vectors parallel to that line by an amount proportional to their transverse coordinate. A horizontal shear mapping has matrix
with a nontrivial example.
The first given matrix is the clockwise planar rotation through , namely . Direct multiplication gives
Thus is a horizontal shear mapping of strength . Because ,
So is the composition of that shear mapping followed by an anticlockwise planar rotation through ; order matters. It is not individually one of the four elementary types under these definitions. In particular, its determinant is , but it is not an orthogonal matrix, excluding both a planar rotation and an orthogonal reflection. It is not a scalar matrix, excluding a uniform dilation; its eigenvalues and exclude a pure shear mapping, whose eigenvalues are both . As a symmetric positive-definite matrix, can also be described as stretching two perpendicular principal directions by these reciprocal factors, preserving area.
A Cartesian second-rank tensor is an isotropic tensor if its components are unchanged under every proper rotation matrix :
The Kronecker delta is isotropic because , the orthogonality relation .
No symmetry of needs to be assumed. A half-turn about the first axis has matrix ; invariance under it forces to vanish. A half-turn about the second axis additionally kills and . Thus . Each half-turn is the square of an allowed quarter-turn. A quarter-turn about the third axis interchanges , so they are equal. A quarter-turn about the second axis interchanges , so all three are equal. Consequently the complete family of isotropic second-rank tensors is
Conversely, every member of this family is invariant because .
Write a member of the special linear group as with . Its Möbius transformation is , with the usual values at a pole and at infinity. For nonreal ,
This follows by multiplying numerator and denominator by . Thus the sign of the imaginary part is preserved, while the extended real line is preserved as a set.
Fixing zero requires . Therefore its stabilizer subgroup and group orbit are
Translations send zero to each finite real point, and sends it to infinity.
For , comparing real and imaginary parts gives and , with . Exactly the same conditions follow from . Hence
For any and , the upper triangular matrix
sends to and to . Therefore the two group orbits are the open complex upper half-plane and the open lower half-plane respectively. Along with the extended real line they exhaust the Riemann sphere, so there are exactly three orbits, the real determinant-one Möbius orbits.
Every has the form and acts by . Thus is the entire complex upper half-plane, by the same explicit matrices . Given , choose such that . Then fixes , so and . This proves the triangular-rotation factorization of real determinant-one matrices.
For uniqueness, if , then . An upper triangular rotation matrix must have , so
There are consequently exactly two matrix factorizations, and . Restricting the first diagonal entry of to be positive makes the factorization unique. For example, if and , that unique branch is
Angles are understood modulo when counting matrices; allowing unrestricted real angle representatives gives infinitely many labels for those same two factorizations.
Use the orthonormal right-handed basis
Direct multiplication gives , and . Thus the matrix in this basis is
The last two columns are orthogonal and both have squared norm . Therefore is an orthogonal matrix precisely when , giving the unique positive value
Its determinant is , so it is a proper rotation matrix, not a reflection. The transverse block has cosine and sine both . Consequently
With the oriented axis , the angle is positive by the right-hand rule, since . The axis also follows from the unit-eigenvalue eigenspace. As a check, .
If either vector vanishes, both arguments are zero. Otherwise choose a rotation matrix sending to . The surface measure on a sphere is rotation invariant. Changing variables gives
Thus the two spherical integrals are equal. The property extends to complex continuous by treating real and imaginary parts separately, as needed for the Fourier exponential.
Under a proper rotation matrix , invariance of a Cartesian second-rank tensor reads , equivalently . The half-turn forces all entries mixing the direction with the plane to vanish. Thus consists of a planar block and the entry .
Commutation with the planar quarter-turn gives . This block already commutes with every planar rotation. Now use the half-turn : on the planar block its conjugation fixes and sends to , so invariance forces . Therefore
The formula uses the Kronecker delta and is sufficient as well as necessary: rotations preserving the unoriented -axis fix both and . This is an axially invariant second-rank tensor with the planar antisymmetric part removed by the horizontal half-turn.
A counterclockwise planar rotation matrix has the form
To recover this form from preservation of the Euclidean norm, let be the columns of . Applying the norm condition to the two coordinate unit vectors gives . Applying it to their sum gives
so . The columns are an orthonormal basis, and : is an orthogonal matrix.
Write . There are two perpendicular unit vectors available for , namely . The first gives determinant , the second . The positive determinant hypothesis selects the first. A norm-preserving planar map with positive determinant is a rotation.
For the commutation condition, write
Direct matrix multiplication gives
Equality forces and , so, with and ,
If , take and . Otherwise set and choose , . Then
This describes the centralizer of a planar quarter-turn. Its nonzero elements act as a rotation followed by a uniform scaling, just as multiplication by a nonzero complex number does.
Let be an orthogonal matrix describing a Cartesian change of coordinates, with transformed vector components and . Their outer product transforms as
which is the transformation law of a second-order Cartesian tensor. Here “rank two” counts tensor indices, not the rank of a matrix; a nonzero outer product has matrix rank one.
For an isotropic second-rank tensor, invariance means for every proper rotation matrix. The half-turn matrices , and force all off-diagonal entries to vanish. Quarter-turns around coordinate axes then force the three diagonal entries to be equal. Conversely , so the most general second-rank isotropic tensor is
Since has matrix rank at most one, it cannot equal a nonzero scalar multiple of the three-dimensional identity. Thus its isotropy forces . If , a nonzero component makes the entire th row vanish only when ; the converse is immediate. The required choices are exactly
For the Levi-Civita symbol, multilinearity and antisymmetry of the determinant give
for every . This proves the rotation invariance of the Levi-Civita symbol, hence its third-rank isotropy. The convention is invariance under proper rotations: under an orthogonal reflection , the sign reverses. Thus it is a pseudotensor if transformations of both orientations are included.
Use the Einstein summation convention. Substitute the given basis transformation into the expansion of the vector:
By linear independence of the basis vectors, . In matrix notation . A rotation matrix is orthogonal, so multiplication by gives
The placement of the transpose follows from the specified convention . It must not be guessed from a different convention for an active rotation of a vector.
Centre the cube at the origin with faces having normals . Every rotational symmetry fixes the centre and permutes these normals, so its rotation matrix is a signed permutation matrix of determinant one. Conversely any such matrix permutes the cube’s coordinates up to signs and preserves the cube. For each of coordinate permutations, four of the eight choices of signs give determinant one. Consequently the rotational symmetry group of a cube has
This counts the rotations directly, without an unverified stabilizer calculation. The TeX’s is damaged transcription: the PDF prints 24.
Let be the face colourings. A colouring fixed by a rotation must be constant on each permutation cycle of faces, giving fixed colourings if the rotation has face cycles. The rotation types are:
RotationNumberFace cycle typeFixed colourings
Identity1
Quarter-turn about opposite face centres6
Half-turn about opposite face centres3
Half-turn about opposite edge midpoints6
Third-turn about opposite vertices8
There are three face axes, each with two quarter-turns and one half-turn; six edge axes, each with one half-turn; and four vertex axes, each with two nonidentity third-turns. These rotations are distinct and, with the identity, total 24, so the table is exhaustive. Face-axis rotations fix their two axial faces; the remaining four faces cycle or pair. Edge half-turns pair all faces, while vertex third-turns form two triples.
Burnside lemma now gives
The three colours are labelled, orthogonal reflections are excluded, and no condition requires every colour to appear.
Assume first . Define the orthonormal quantum states
and by . The relevant invariant subspace is the two-dimensional span of these quantum states, not the entire Hilbert space. The uniform quantum superposition is .
In the ordered orthonormal basis , the marked-state phase oracle is the reflection operator . Since , conjugation by the Walsh-Hadamard transform gives the Grover diffusion operator
It is the reflection in the line through . The product of these two reflection operators is a rotation matrix by toward the marked quantum state:
Thus the Born rule gives . Choose a nonnegative integer nearest to . Rounding changes the angle from by at most , so
Each Grover search algorithm iteration uses one marked-state phase oracle query; all other gates are known. A final quantum measurement in the computational basis therefore produces a uniformly chosen marked item, conditional on success, with probability better than one half when . This uses the supplied marked count to select the stopping time; an unknown needs an additional search schedule or counting procedure. If , no oracle query is needed; if , no marked item exists, so a successful search is impossible.
For multi-indices , define
These seminorms define the Fréchet space topology of the Schwartz space: exactly when every tends to zero. An equivalent increasing family is
A tempered distribution is a continuous linear functional on this space. Equivalently, for some . The usual weak convergence of tempered distributions means for every fixed Schwartz function. The strong dual topology instead requires uniform convergence on every subset of the Schwartz space that is a bounded set in a topological vector space; the Fourier maps below are continuous in both topologies.
Using , differentiation under the integral and integration by parts give
The omitted coefficient has modulus one. By the Leibniz rule, every integrand is a finite sum of a polynomial times a derivative of . Inserting the integrable weight bounds its L1 norm by finitely many Schwartz space seminorms. In particular . Thus the Fourier transform maps continuously into itself.
For completeness, the Fourier inversion theorem follows here by Gaussian regularization. The inverse transform of is . The Fourier transform of a Gaussian and Fubini's theorem show
As , the right side tends to by the approximate identity property, while the left side tends to the undamped inverse integral by dominated convergence theorem, since . Hence
The inverse is times reflection composed with the continuous Fourier transform, and is therefore continuous on the Schwartz space. This proves a continuous linear isomorphism with continuous inverse.
Define the Fourier transform of a tempered distribution by
The continuous map on Schwartz space makes this a tempered distribution; the transpose of supplies its inverse. Pointwise convergence of pairings proves weak continuity. For the strong dual topology, the transform of a bounded set of Schwartz functions is bounded, so uniform convergence of pairings on bounded sets proves continuity of both Fourier maps there too.
Now let be a rotation matrix in the special orthogonal group and write . A change of variables with unit Jacobian gives
The rotation equivariance of the Fourier transform on tempered distributions follows by duality:
Therefore . Applying this identity and the inverse Fourier transform gives the two directions:
This is precisely preservation of radial tempered distributions. For , acts transitively on spheres, so an invariant smooth function is an ordinary radial function.
A nematic director is an unoriented axis: and describe the same molecular alignment. A vector average cannot represent this head-tail symmetry. The orientational second moment is a symmetric second-rank tensor, and removing its isotropic part gives the traceless second-rank tensor . It vanishes for an isotropic angular distribution and transforms correctly under rotation matrices.
Every nonzero real symmetric traceless matrix has eigenvalues and can be written by choosing the eigenvector of the positive eigenvalue as director and . Consequently . The bulk Landau-de Gennes free energy becomes
For , its minimum occurs at . The elastic density is nonnegative and vanishes for a uniform field. Thus, with no boundary condition imposing a texture, the pointwise lower bound is attained by
The negative-amplitude representation is equivalent in two dimensions to rotating the director by , so the positive choice loses no tensor minima. This is minimization of the specified coarse-grained functional, not a claim of true thermodynamic long-range nematic order at every temperature in an infinite two-dimensional system. The PDF explicitly uses the divergence elastic term; the TeX's loses the dot and would give different elastic coefficients.
The characteristic polynomial of the displayed rotation matrix is , so its eigenvalues are , all of modulus one. The real eigenvector spans the rotation axis, while the arguments of the conjugate eigenvalues record the rotation angle on its perpendicular plane.
Applying first the -rotation and then the -rotation gives
Its -eigenspace is spanned by , so . The matrix trace identity gives . Thus .
The basic Galilean transformations include spacetime translations , ; spatial rotations , ; and boosts , , where is a rotation matrix and is constant.