An orthogonal matrix satisfies , so it preserves the Euclidean norm. For a nonzero real eigenvector ,
Therefore . Geometrically, eigenvalue fixes every vector on the linear span of ; eigenvalue reverses every vector on that line. In either case the line is preserved as a set.
For , solving gives , , . For , the equations are and , hence . For , let and , so that . Then is equivalent to . The resulting eigenspaces and their bases are
Solving all the equations shows that these lists contain the maximum possible numbers of independent eigenvectors with eigenvalue .
The columns of form an orthonormal basis, so is an orthogonal matrix. Also . Its fixed axis is the line through , and on the perpendicular plane it acts as a two-dimensional rotation. If denotes the rotation angle, its matrix trace is . Since , we obtain . To fix the orientation relative to , note that and
The component of perpendicular to has squared length , and this scalar triple product equals . Hence . Thus
Equivalently, its unsigned angle is , or its positive angle is about the opposite oriented axis.
For , the reflection in a hyperplane formula gives
It fixes the plane pointwise and maps to , so . These actions also show that is an orthogonal matrix. In contrast, the second column of has squared length , so is not orthogonal and cannot represent either of these Euclidean motions.
A diagonalizable matrix must have a basis of eigenvectors over the field in question. For , a direct determinant computation gives . Its eigenvalues are , where . Only one is real, with one-dimensional eigenspace, so is not diagonalizable over . Over the three eigenvalues are distinct, and the vectors for give an eigenbasis. The upper triangular matrix has only eigenvalue , of algebraic multiplicity , but its eigenspace has dimension over either field. Hence is not diagonalizable over either field. For , the two real plane vectors displayed above, together with , form an eigenbasis, with eigenvalues . They remain independent over . Therefore
For a point on the plane, the Cauchy-Schwarz inequality gives , because is a unit vector. Equality is achieved at . Thus the distance from the origin is .
Let and let be the perpendicular projection of the sphere's center onto the plane. Every point of the plane has form with . The Pythagorean theorem gives
If , the sphere equation therefore forces . There is exactly one contact point, ; it lies on both surfaces.
Write . The nonzero scalar triple product proves that are linearly independent, so they form a positively oriented basis of and define a nondegenerate tetrahedron.
For the three faces through the origin, choose the inward unit vectors
Their signs are correct because each has positive inner product with the opposite vertex vector. Write the center as . It lies on the interior side of every face. Tangency of the interior sphere therefore means signed distance , not , from each of those three planes. Taking inner products gives
Solving proves the center formula
This is the sphere center from three tetrahedron face distances; the interior hypothesis selects these signs rather than an exterior center.
Finally set . The scalar triple product identities give . In particular , and the plane through the three vertices is
The second formula follows by normalizing to a unit vector and applying the first distance result.
Use suffix notation with indices ranging from to , and sum over repeated indices. By the component definitions of the dot product and cross product,
The Levi-Civita symbol is unchanged by a cyclic permutation of its three indices: the cycle is two transpositions and hence has positive sign. Thus . Commuting the scalar components gives
Therefore the scalar triple product obeys
Cyclically moving the vectors preserves the scalar triple product; interchanging just two reverses its sign.
The two displacement vectors and lie in the required plane. Because the three points are non-collinear, their cross product
is nonzero and is a normal vector to that plane. A point with position vector lies in the plane exactly when
Expanding the cross product gives
The terms and vanish, so the equation of a plane through three points becomes
Non-collinearity is important: it ensures this is a genuine plane equation with nonzero normal, rather than the vacuous equality .
For the specified coordinates,
Their sum is , with Euclidean norm . Consequently either orientation of the unit normal is valid:
As a check, the scalar triple product is , so the plane equation simplifies to , which all three supplied points satisfy. The normal direction is .
The Poisson bracket is . Since , the scalar triple product vanishes, and
Equivalently, check the identity on and extend to every polynomial using the Leibniz rule. Thus is a Casimir function of a Poisson manifold of this rotational Lie-Poisson structure on R3.
The Hamilton's equations are
Linearization about gives , , . The two nonzero exponents satisfy . Consequently
When is outside this interval the transverse motion is oscillatory. At equality the linearization is nonhyperbolic; if just one transverse coupling vanishes, the other permits secular linear growth, rather than an exponential instability. This is the familiar intermediate-axis instability described by the Euler equations for a torque-free rigid body.
The dot product and Euclidean norm are and . For every real ,
Its quadratic discriminant is nonpositive, proving the Cauchy-Schwarz inequality . In the inequality asked for, equality holds exactly when is a positive scalar multiple of , and
Using the Levi-Civita symbol and its contraction identity,
Put , the scalar triple product. Cyclic symmetry gives , so each requested angle satisfies . If every pairwise angle is and , the preceding identity gives
and therefore . This is when ; for a right-handed orthonormal basis and , has norm .
The three planes have equations , , and . They meet at one point exactly when , meaning their normals are linearly independent vectors. The point is
Using the Levi-Civita symbol and the epsilon-delta identity,
This proves the vector triple product identity
Applying it inside the scalar triple product gives Lagrange's identity
Using Einstein notation and
we obtain
Thus
The scalar triple product is
Put . When , the three vectors
form the reciprocal basis to , so . Their scalar triple product is . Therefore
since the cyclic permutation preserves orientation. The identity also holds when , either by continuity or directly because the cross products are then linearly dependent.
For the given basis , the same identities give
If , dotting with gives , so the are linearly independent and hence form a basis. Moreover, , so the original basis is reciprocal to the primed basis. Uniqueness of a reciprocal basis gives
Every vector has a unique expansion , and then
This is an integer for every integer triple exactly when every is an integer. Hence all such points are
They form the reciprocal lattice in the convention without a factor of .
Let
Linear independence implies that the scalar triple product is nonzero. Applying the vector triple-product formulas to recovers the coefficients of in the basis . Equivalently, the reciprocal basis to is
Taking scalar products with therefore yields
At late time and . Define the elementary symmetric polynomials
Then part ii reduces to
where a prime removes the momentum-conserving Dirac delta distribution and
Expanding the product gives
Repeated integration by parts reduces every negative power to the supplied logarithmic integral. The power divergences are real and disappear when the imaginary part is taken. Writing
one obtains
Consequently the late-time parity-odd primordial trispectrum is
Its factor of is required by reality of a momentum-space scalar correlator: reversing all momenta complex-conjugates the correlator, while the scalar triple product changes sign.
Let the Bravais lattice have primitive vectors , and put
The reciprocal lattice has the basis
The scalar triple product and cross product identities give
Consequently every satisfies for every lattice point , and conversely these three conditions force the coefficients of in the reciprocal basis to be integers. This proves that the displayed vectors generate .
In the Born approximation, suppose that the crystal potential is the sum of translates of one atomic potential over the finite set of lattice sites. Its Fourier transform at the momentum transfer factors as
Thus the single-atom scattering amplitude is multiplied by the crystal lattice structure factor . Writing
separates the sum into three finite geometric series. For this gives
When the are large, a factor has a sharp maximum when . All three factors are therefore simultaneously large precisely when . These are the reciprocal-lattice peaks of a finite crystal.
For the stated body-centered cubic lattice basis,
the reciprocal-basis formula gives
Equivalently,
The shortest nonzero reciprocal vectors have squared Euclidean norm , so
In elastic scattering, . If and is the angle between and , Euclidean geometry gives
The first possible diffraction peak therefore occurs at
as , by the small-angle approximation. This is the elastic Bragg scattering condition for the shortest reciprocal-lattice vector.
Let
The vector triple product identity shows that . Moreover, exactly when is a scalar multiple of . Thus the given line is
Also , so . The assumption says precisely that is outside . Consequently and determine a unique plane, with normal vector .
To identify its equation, use cyclic invariance of the scalar triple product:
For , this equals , while . Hence throughout . The point also satisfies that equation because . Since , the required plane is therefore exactly
This also proves the reusable plane through a point and a line given by a cross product construction.
For vectors , the scalar product, cross product and scalar triple product are respectively
Expanding the dot product gives
Interchanging and changes the sign of their cross product, so its dot product with is also zero. Thus the cross product is orthogonal to both vectors, including when it is the zero vector.
The displayed scalar triple product is a determinant. A square matrix has nonzero determinant exactly when its rows are linearly independent. Hence
Choose the first orthonormal basis vector to be . If is not parallel to , choose along ; otherwise choose any unit vector orthogonal to . Complete to an orthonormal basis with . The matrix with rows is an orthogonal matrix, and expressing the three unit vectors in this basis gives
The last two components of have polar coordinates of the displayed form; we may choose . If they vanish, is arbitrary.
An orthogonal transformation preserves dot products. Taking dot products with , and then using the unit Euclidean norms, gives
The remaining dot product gives
An orthogonal matrix has determinant , so it preserves the absolute scalar triple product. In the new coordinates this scalar triple product is . Consequently
Taking the nonnegative square root proves
No division by or was used, so the proof includes parallel vectors. Equivalently, the expression under the square root is the Gram determinant of the three unit vectors.
Use the convention for the scalar triple product. With as above, . The vector triple product identity gives
The Lagrange identity for the cross product, , also gives
Taking the dot product with the unit vector proves
Write for the paper's . In a right-handed Cartesian coordinate system, the cross product is
It is perpendicular to both vectors, has norm , where is their angle, and has direction given by the right-hand rule when nonzero. Its norm is the area of the parallelogram spanned by the two vectors.
If , use that parallelogram as the base of the parallelepiped. Its perpendicular height is , where . Thus its volume is
If , both the volume and this scalar triple product vanish. If the cross product is nonzero, the scalar triple product vanishes exactly when lies in the plane spanned by . If it is zero, are linearly dependent, and adjoining still spans at most a plane. Consequently the three vectors are coplanar if and only if , including cases involving a zero vector.
Put . The vector triple product identity gives
Taking its dot product with and using cyclic invariance of the scalar triple product yields
There was no division by , so this also proves the identity for coplanar vectors.
Let be an arbitrary constant vector. By the cyclic identity for the scalar triple product,
Apply Stokes theorem to . Since is constant, the curl product identity gives
Consequently
For precision, the operator in the last line has components
The partial derivatives act on , with multiplying their values; they do not differentiate . Since the dot products agree for every constant , the cross-product form of Stokes theorem follows:
Here in the paper denotes the cross product, and the printed surface integral has its area element understood.