Past exam of the mathematics course of the University of Cambridge 2010 ia Paper 1 8B i Solution Created 2026-09-24 Updated 2026-10-14
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 areSolving 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 andThe component of perpendicular to has squared length , and this scalar triple product equals . Hence . ThusEquivalently, its unsigned angle is , or its positive angle is about the opposite oriented axis.
For , the reflection in a hyperplane formula givesIt 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
Past exam of the mathematics course of the University of Cambridge 2012 ia Paper 1 5C Solution Created 2026-09-24 Updated 2026-10-07
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 givesIf , 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 vectorsTheir 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 givesSolving proves the center formulaThis is the sphere center from three tetrahedron face distances; the interior hypothesis selects these signs rather than an exterior center.
Past exam of the mathematics course of the University of Cambridge 2016 ia Paper 1 5A a Solution Created 2026-09-24 Updated 2026-10-06
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 givesTherefore the scalar triple product obeysCyclically moving the vectors preserves the scalar triple product; interchanging just two reverses its sign.
Past exam of the mathematics course of the University of Cambridge 2016 ia Paper 1 5A b Solution Created 2026-09-24 Updated 2026-10-06
The two displacement vectors and lie in the required plane. Because the three points are non-collinear, their cross productis nonzero and is a normal vector to that plane. A point with position vector lies in the plane exactly whenExpanding the cross product givesThe terms and vanish, so the equation of a plane through three points becomesNon-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 .
Past exam of the mathematics course of the University of Cambridge 2017 ii Paper 4 8E Solution Created 2026-09-24 Updated 2026-10-05
The Poisson bracket is . Since , the scalar triple product vanishes, andEquivalently, 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 areLinearization about gives , , . The two nonzero exponents satisfy . ConsequentlyWhen 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.
Past exam of the mathematics course of the University of Cambridge 2018 ia Paper 1 5C Solution Created 2026-09-24 Updated 2026-10-03
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 givesand 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
Past exam of the mathematics course of the University of Cambridge 2019 ia Paper 1 5C a i Solution Created 2026-09-24 Updated 2026-09-29
Using the Levi-Civita symbol and the epsilon-delta identity,This proves the vector triple product identityApplying it inside the scalar triple product gives Lagrange's identity
Past exam of the mathematics course of the University of Cambridge 2021 ia Paper 1 5C Solution Created 2026-09-24 Updated 2026-09-25
The scalar triple product isPut . When , the three vectorsform the reciprocal basis to , so . Their scalar triple product is . Thereforesince 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 giveIf , 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
Past exam of the mathematics course of the University of Cambridge 2022 ia Paper 1 5B a iii Solution Created 2026-09-24 Updated 2026-09-25
LetLinear 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 isTaking scalar products with therefore yields
Past exam of the mathematics course of the University of Cambridge 2023 iii Paper 312 1 iv Solution 2026-09-28
At late time and . Define the elementary symmetric polynomialsThen part ii reduces towhere a prime removes the momentum-conserving Dirac delta distribution andExpanding the product givesRepeated 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. Writingone obtainsConsequently the late-time parity-odd primordial trispectrum isIts 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.
Past exam of the mathematics course of the University of Cambridge 2023 ii Paper 3 34D Solution Created 2026-09-23 Updated 2026-10-14
Let the Bravais lattice have primitive vectors , and putThe reciprocal lattice has the basisThe scalar triple product and cross product identities giveConsequently 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 asThus the single-atom scattering amplitude is multiplied by the crystal lattice structure factor . Writingseparates the sum into three finite geometric series. For this givesWhen 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 givesEquivalently,The shortest nonzero reciprocal vectors have squared Euclidean norm , so
In elastic scattering, . If and is the angle between and , Euclidean geometry givesThe first possible diffraction peak therefore occurs atas , by the small-angle approximation. This is the elastic Bragg scattering condition for the shortest reciprocal-lattice vector.
LetThe vector triple product identity shows that . Moreover, exactly when is a scalar multiple of . Thus the given line isAlso , 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 exactlyThis 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 respectivelyExpanding the dot product givesInterchanging 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 givesThe 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, givesThe remaining dot product givesAn orthogonal matrix has determinant , so it preserves the absolute scalar triple product. In the new coordinates this scalar triple product is . ConsequentlyTaking the nonnegative square root provesNo 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 givesThe Lagrange identity for the cross product, , also givesTaking the dot product with the unit vector proves
Write for the paper's . In a right-handed Cartesian coordinate system, the cross product isIt 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 isIf , 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 givesTaking its dot product with and using cyclic invariance of the scalar triple product yieldsThere was no division by , so this also proves the identity for coplanar vectors.
Apply the squared scalar triple product from cyclic cross products proved in c:Hence the reciprocal basis has scalar triple product , with its sign retained.
Let . The scalar triple product is invariant under a cyclic permutation, so the definitions of the reciprocal basis give
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 givesConsequentlyFor precision, the operator in the last line has componentsThe 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.