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1E (Groups, Rings and Modules)

Words: 159 Articles: 1

Solution

Words: 159
For
define its action on the projective line by the MΓΆbius transformation
with the usual conventions when the denominator vanishes or . Matrix multiplication agrees with composition, so this is a group action. If fixes every projective point, then it fixes and , forcing , and fixing then gives . Thus the kernel consists exactly of the nonzero scalar matrices . The induced group homomorphism
is therefore injective. This is the projective general linear group action on the projective line.
For ,
The scalar subgroup has order , so
The four classes represented by
form a subgroup of order four, hence a Sylow subgroup for the prime two. Its action is translation on and fixes . For , characteristic two makes this permutation a product of two disjoint transpositions on the four finite points. It is therefore even, and
This realizes the Sylow 2-subgroup of PGL2 over F4.
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2E (Geometry)

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Solution

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In the Poincare half-plane model, the Riemannian metric
assigns to a smooth curve the length
The metric is conformal to the Euclidean metric, so hyperbolic and Euclidean angles agree. Its area element is
The two geodesics from and to infinity are the vertical lines and , while the third side is the unit semicircle. The triangle lies above that semicircle, so its area is
Its interior angles are , , and zero at the ideal vertex, and hence
Triangulating a geodesic polygon with sides into triangles gives
the area of a hyperbolic geodesic polygon and the polygonal Gauss-Bonnet theorem.
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3B (Complex Methods)

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a

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Solution

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Taking the complex derivative along the real direction gives
Taking it along the imaginary direction and equating the two expressions gives the Cauchy-Riemann equations
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b

Words: 54 Articles: 1

Solution

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Differentiate the affine relation with respect to and :
Using the Cauchy-Riemann equations, the second equation becomes
Thus
The determinant is , so and therefore . A holomorphic function with zero derivative on a connected open set is constant. Hence is constant, as in analytic function with image in an affine real line.
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4C (Variational Principles)

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Solution

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A function on a convex set is convex when
for all and .
If is once differentiable, this is equivalent to monotonicity of its gradient:
Equivalently, every tangent hyperplane supports the graph:
If is twice differentiable, convexity is equivalent to the hessian matrix being positive semidefinite throughout .
For
the Hessian is
A real symmetric two-by-two matrix is positive semidefinite exactly when its two diagonal entries and its determinant are nonnegative. Thus
The largest convexity domain is therefore
For , its boundary is the hyperbola in the first quadrant and the domain lies above it. For , it is the closed first quadrant. This is the convexity domain of x cubed plus y cubed plus Axy.
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5A (Methods)

Words: 83 Articles: 1

Solution

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Away from , the Green function solves . The solution satisfying the left boundary condition is proportional to , while the solution decaying at infinity is proportional to . Continuity at and the unit derivative jump
give
or , the dirichlet half-line Green function for d2 minus 1.
The required solution is
Evaluation of the two elementary integrals, split at , gives
Indeed, direct differentiation gives , and both boundary conditions are immediate.
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6D (Quantum Mechanics)

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a

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Solution

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The spatial wavefunction is the position amplitude of a stationary quantum state, so is its probability density after normalization. The real function is the potential energy, is the energy eigenvalue, is the particle mass, and is the reduced Planck constant.
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b

Words: 58 Articles: 1

Solution

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As , the equation approaches
If , the asymptotic solutions are oscillatory and do not decay, so there are no bound states. If , the asymptotic solutions are exponential; one decaying branch can be selected at each end. Bound states are therefore possible, although only energies satisfying the global matching conditions actually occur.
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c

Words: 57 Articles: 1

Solution

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Suppose and are two bound-state solutions with the same energy. Their Wronskian
satisfies because the Schrodinger equation contains no first-derivative term. Hence is constant. Both wavefunctions and their derivatives decay at infinity, so there and therefore . The two solutions are linearly dependent. Thus every one-dimensional bound-state energy is nondegenerate.
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7C (Fluid Dynamics)

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Solution

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A velocity potential satisfying uniform flow at infinity and no radial flow through is
Therefore
On the cylinder, and . The steady Bernoulli equation, compared with the uniform flow at infinity, gives
Hence
the pressure in potential flow around a circular cylinder.
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8H (Markov Chains)

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a

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Solution

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Let . Solving the stationary distribution equations together with gives
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b

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Solution

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Yes. The three nontrivial detailed balance identities are
and
Thus the chain is a reversible Markov chain.
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c

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Solution

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By stationarity,
The two-step return probability is
Therefore the requested probability is
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9F (Linear Algebra)

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Solution

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A linear operator on a real inner-product space is self-adjoint when
for all .
To prove the finite-dimensional spectral theorem, first note that the continuous quadratic function has a maximum on the unit sphere. The Lagrange multiplier equation at a maximizing vector gives , so has a real unit eigenvector. Its orthogonal complement is invariant because
Induction on the dimension supplies an orthonormal eigenbasis of that complement and hence of .
For ,
while symmetry and bilinearity are immediate, so the displayed formula defines an inner product on . Since
integration by parts gives
The boundary term vanishes for polynomials, proving that is self-adjoint.
On the monomial ,
Thus the matrix of in the monomial basis is triangular with diagonal
These are therefore its eigenvalues. For , corresponding eigenvectors are
for eigenvalues , respectively. They are the first Laguerre polynomials up to normalization, as described by the Laguerre differential operator on polynomials.
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10E (Groups, Rings and Modules)

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a

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i

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Solution
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A polynomial over a unique factorization domain is primitive when the greatest common divisor of its coefficients is a unit.
Assume that the primitive polynomial factors in as , with both factors of positive degree. Clearing denominators and removing contents writes
where and are primitive. Then
By Gauss lemma for polynomials, is primitive. Since is also primitive, comparison of contents forces to be a unit of . Absorbing that unit into one factor gives a nontrivial factorization of in , contrary to its assumed irreducibility. Hence is irreducible in .
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ii

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Solution
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Suppose is prime in and divides in . It divides one factor in , say for . Write with primitive and . The product is primitive. Since
has all coefficients in , a denominator of would divide every coefficient of the primitive polynomial ; it must therefore be a unit. Thus , so and divides in . Hence is prime in .
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Solution

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To deduce the final assertion, use the characterization that an integral domain is a unique factorization domain when it is atomic and every irreducible element is prime. Factoring the contents in and then the primitive parts by degree shows that is atomic.
An irreducible constant of is prime in . Every irreducible polynomial of positive degree is, up to a constant unit, primitive. Part (i) makes it irreducible in ; because is a principal ideal domain, it is prime there, and part (ii) makes it prime in . Thus every irreducible of is prime, and
This is the polynomial ring over a unique factorization domain theorem.
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b

Words: 105 Articles: 1

Solution

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Choose a coprime presentation
For a polynomial , write . Symmetry of gives
Since is a unique factorization domain and , one has and . Exchanging the variables preserves total degree, so
for nonzero constants . The displayed identity gives , and applying the exchange twice gives .
If , then , so divides both polynomials, contradicting coprimality. Therefore , and both and are symmetric. Taking and proves the claim, which is the symmetric rational function in two variables result.
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11G (Analysis and Topology)

Words: 339 Articles: 1

Solution

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For , the function is differentiable at if there is a linear map such that
The linear map is unique and is the Frechet derivative . The function is continuously differentiable at if it is differentiable on a neighbourhood of and the map , with values in the space of linear maps equipped with the operator norm, is continuous at .
If is linear, then
Consequently at every . The derivative is a constant function of , hence is continuous, so every linear map is continuously differentiable everywhere.
The mean value inequality says that if the line segment lies in and
then
To prove it, put . The claim is immediate if . Otherwise set and apply the one-dimensional mean value theorem to the real-valued function
For some , the chain rule gives
as required.
Now suppose that is open and connected and that for every . Every point has an open ball contained in . The mean value inequality with shows that is constant on each such ball, so is locally constant. Fix . The level set
is nonempty and open in ; its complement is also open because is locally constant. Since is connected, . This proves the zero derivative on a connected open set result: is constant.
The inverse function theorem states that if is continuously differentiable, , and is an invertible linear map, then there are open neighbourhoods of and of such that is a bijection whose inverse is continuously differentiable.
For the curve in the question, define the continuously differentiable function
Then
The implicit function theorem, which follows from the inverse function theorem applied to , therefore gives an open interval containing , an open neighbourhood of , and a continuously differentiable, hence continuous, function such that
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12E (Geometry)

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Solution

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Write , , , and let be the first fundamental form. Since
differentiating and , or equivalently taking the two inner products of the second formula with , gives
The matrix is invertible because is a regular embedded surface parametrization. Consequently the two geodesic equations hold exactly when is orthogonal to both tangent vectors and , which says precisely that is a normal vector. This is the ambient acceleration criterion for a surface geodesic.
Because is tangent and is normal,
Thus an affinely parametrized geodesic has constant speed, as recorded by constant speed of an affinely parametrized geodesic.
For a surface of revolution, use profile arc length and azimuth . Its Riemannian metric is
The azimuth is an ignorable coordinate, so the corresponding geodesic equation has the first integral
If and is the oriented angle with the parallel, then the component of velocity along the parallel is
Since is constant,
This is the Clairaut first integral for a surface of revolution.
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i

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Solution

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Take the parallel at height one,
It has constant speed . Its distance from the axis is the constant , and its tangent is parallel to the parallel, so and it satisfies the Clairaut first integral for a surface of revolution.
However,
whereas a normal vector to at is
These vectors are not parallel. By the ambient acceleration criterion for a surface geodesic, is not a geodesic. Thus constant speed together with Clairaut's relation is not sufficient for the geodesic equations.
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ii

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Solution

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The plane
meets the one-sheet hyperboloid in the two disjoint curves
They are the two opposite meridians of the surface of revolution. Parametrize the generating profile by arc length. Its acceleration lies in the meridian plane and is orthogonal to the profile tangent; it is also orthogonal to the azimuthal tangent. It is therefore normal to the surface, so both meridians are geodesics. This is the disjoint case in plane-section geodesics of the unit one-sheet hyperboloid.
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iii

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Solution

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The tangent plane
cuts the hyperboloid in
so its intersection is the pair of straight lines
Their accelerations vanish, hence are normal to the surface, so both lines are geodesics. Their tangent vectors at their intersection are and , whose inner product is zero. They therefore intersect at a right angle, giving the second case of plane-section geodesics of the unit one-sheet hyperboloid.
There are also geodesics entirely contained in . In the coordinates
the metric is
For a unit-speed geodesic, the Clairaut first integral for a surface of revolution is , and the constant-speed equation becomes
Choose and initial height . The geodesic initially tangent to the parallel has , and the displayed identity prevents it from entering . Since the parallel at is not itself a geodesic, the curve turns there and otherwise has . Hence it remains entirely in ; this is a geodesic trapped in one half of the unit one-sheet hyperboloid.
Finally, the waist
is a geodesic and is preserved setwise by every isometry of the hyperboloid. Indeed, its Gaussian curvature is
The value occurs exactly at . Since Gaussian curvature is intrinsic and therefore preserved by isometries, every isometry preserves the waist. Thus the answer to the final question is also yes, with the isometry-invariant waist geodesic of the unit one-sheet hyperboloid as an example.
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13G (Complex Analysis)

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Solution

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RouchΓ©'s theorem states that if and are holomorphic functions on a neighbourhood of the closure of a bounded domain and
on its positively oriented boundary, then and have the same number of zeros in the domain, counted with multiplicity.
The Open mapping theorem states that a nonconstant holomorphic function on a domain maps every open subset to an open subset. To prove it, fix and put . By the identity theorem, the zeros of are isolated. Choose so that the closed disc lies in the domain and is the only zero of in that disc. Then
Whenever , the constant has modulus smaller than on the circle. The Rouche theorem therefore says that
has the same positive number of zeros in the disc as . Thus every lies in the image of , proving that the image is open.
If had a local maximum at , take a small open disc on which . The restriction of to cannot be constant, since the identity theorem would then make constant on the whole domain. The complex open mapping theorem says that is an open neighbourhood of , and such a neighbourhood contains points of modulus greater than , a contradiction. This proves the maximum modulus principle from the complex open mapping theorem.
Now let be bounded. Its closure is compact, so the continuous function attains a maximum there. If is nonconstant, the maximum modulus principle excludes an interior maximum; if is constant, the claimed bound is immediate. Hence
which is the maximum modulus principle on a bounded domain.
Finally let and suppose throughout . Fix . The principal complex logarithm is holomorphic on the right half-plane, so for each positive integer the function
is holomorphic on and continuous on its closure. Given , choose so large that
Apply the bounded-domain result to on . On the vertical part of the boundary, and hence . On the circular part,
It follows that
Letting and then gives . Since was arbitrary, this proves the bounded half-plane maximum principle.
The boundedness assumption is necessary. The function
is holomorphic on and continuous on its closure, and on the boundary, but is unbounded for real . Thus the boundary estimate does not control an unbounded holomorphic function on this unbounded domain.
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14A (Methods)

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a

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Solution

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By the Fourier inversion theorem and Fubini's theorem,
Thus multiplication of Fourier transforms corresponds to the convolution , which is the convolution theorem in the convention used here.
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b

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Solution

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The Fourier transform of a derivative gives
Hence
for . The assumed existence of the transforms excludes an arbitrary nonzero constant in .
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c

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Solution

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Using Euler's formula and the Inverse Fourier transforms of phase factors,
and
These are distributional identities, with the Dirac delta function.
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d

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Solution

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Take the Fourier transform in . The wave equation becomes the ordinary differential equation
with initial data and . Therefore
Part (c) and the Translation property of the Fourier transform invert the first term to
For the second term choose an antiderivative of . By part (b), , and hence
Its inverse transform is
Combining the terms gives the D'Alembert formula
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e

Words: 70 Articles: 1

Solution

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Here the D'Alembert formula with initial velocity becomes
When and
the integration interval contains the whole support . Since is odd,
Thus the requested region containing the line is
This is the central zero region for odd compactly supported initial velocity. The initial disturbance splits into left-moving and right-moving waves; after they pass, their opposite signed impulses cancel and leave an expanding undisturbed region around the origin.
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15D (Electromagnetism)

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a

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Solution

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The magnetic field is . The magnetostatic Ampère-Maxwell equation is , so the curl of the curl identity gives
A gauge transformation does not change . We may therefore choose the Coulomb gauge by solving the Poisson equation . It follows component by component in a Cartesian coordinate system that
The free-space Green function of the Laplacian then gives
For a localized steady current density, conservation of electric charge gives ; integration by parts confirms directly that this integral has zero divergence and hence obeys the Coulomb gauge.
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b

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Solution

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Take the curl of the integral from part (a). Since is independent of ,
This is the Biot-Savart law.
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c

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Solution

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Parametrize the loop by and . At the observation point , the Biot-Savart law for a line current gives
The components perpendicular to the axis cancel by rotational symmetry, while the axial component of the cross product is . Therefore
The direction is fixed by the right-hand rule and reverses when the electric current reverses. At the centre,
This is the on-axis magnetic field of a circular current loop.
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d

Words: 74 Articles: 1

Solution

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Measure from the centre of the loop of radius , toward the second loop. Between the loops the two axial fields have opposite directions. Their magnitudes are
Equating them and cancelling common factors gives
Taking the power yields . Since , we have , and therefore
Thus the magnetic-field cancellation between oppositely driven coaxial loops occurs one third of the separation from the smaller loop.
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16C (Fluid Dynamics)

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a

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Solution

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For an inviscid fluid of constant mass density with no body force, the Euler equations for an inviscid fluid are
The vector identity
and irrotational flow give . Writing in terms of a velocity potential, we obtain
Thus the bracket depends only on time:
Since adding a function of time to leaves unchanged, that function may be chosen to absorb . This is the Unsteady Bernoulli equation.
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b

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i

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Solution
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A radially symmetric velocity potential has . The incompressible flow condition in two-dimensional polar coordinates is
so . The kinematic boundary condition at the bubble surface gives , hence
At the outer interface, . Therefore
and
The area of the incompressible liquid is conserved. These formulas are the radially symmetric incompressible flow in a planar annulus.
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ii

Words: 60 Articles: 1
Solution
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Apply the Unsteady Bernoulli equation at and and subtract, thereby eliminating its time-dependent constant. For and ,
where each partial derivative is taken at fixed . Since and ,
Equivalently, . This is the pressure in radially symmetric annular potential flow.
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iii

Words: 56 Articles: 1
Solution
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Let be the outer radius when . The area relation from part (i) gives
so
Moreover,
The term in the pressure is second order, while the logarithm multiplying may be evaluated at equilibrium. The linearization is therefore
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iv

Words: 41 Articles: 1
Solution
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Per unit depth, the bubble volume is its area . At equilibrium its pressure equals , so . Hence
Continuity of fluid pressure at the interface gives . Consequently
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v

Words: 37 Articles: 1
Solution
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Equating the two linearized expressions for from parts (iii) and (iv) gives
This is the equation of simple harmonic motion. Thus the bubble performs small oscillations with angular frequency
This is the small oscillation of a planar gas bubble in an annular liquid.
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17B (Numerical Analysis Rb)

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a

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Solution

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Let . By polynomial division, every has a unique decomposition
Every node is a zero of , so . The assumed degree- exactness also gives . Hence
Therefore for every if and only if
for every . This proves the nodal-polynomial criterion for quadrature exactness.
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b

Words: 59 Articles: 1

Solution

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Suppose that an -node quadrature rule were exact on . The nodal polynomial has degree , so . At every node it vanishes, and hence
But is a nonzero nonnegative polynomial, and the weight function is positive on . Therefore
a contradiction. This is the degree ceiling for quadrature exactness.
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c

Words: 50 Articles: 1

Solution

Words: 50
For each node , let
be its Lagrange interpolation polynomial. It has degree and satisfies . Since , exactness gives
The integrand is nonnegative and is positive except at finitely many points, so
This proves the positivity of quadrature weights from degree 2n exactness.
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d

Words: 65 Articles: 1

Solution

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Fix a continuous function and . By the Weierstrass approximation theorem, choose a polynomial such that
For every , exactness gives . Positivity of the quadrature weights and exactness on the constant polynomial give
Consequently
Since is arbitrary, . This is the convergence of positive quadrature rules.
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18H (Statistics)

Words: 276 Articles: 7

a

Words: 71 Articles: 1

Solution

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A possibly randomized test is a function , interpreted as the conditional probability of rejecting . Its power function is
It has size at most when
Such a test is a uniformly most powerful test of size if, for every other test of size at most ,
Thus one test maximizes power simultaneously at every parameter value in the alternative.
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b

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i

Words: 70 Articles: 1
Solution
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The likelihood ratio of the simple alternative to the simple null is
This is a strictly increasing function of . By the Neyman-Pearson lemma, the most powerful test therefore rejects for . The logistic distribution has
The size condition gives
Because the distribution is continuous, no boundary randomization is needed. The most powerful size- test is therefore
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ii

Words: 135 Articles: 1
Solution
Words: 135
For , the likelihood ratio is
which is increasing in . Thus the logistic location family has a monotone likelihood ratio in .
The upper-tail rejection probability is increasing in the location parameter, since with having the standard logistic distribution. Hence for the critical value from part (i),
The test has size for the composite null.
Now fix any alternative . The Neyman-Pearson lemma applied to the simple hypotheses and says that this same upper-tail test is most powerful among all tests whose rejection probability at is at most . Every test of size at most for the composite null satisfies that restriction. The upper-tail test is therefore most powerful at every , so it is the uniformly most powerful upper-tail test for a logistic location.
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19H (Optimisation)

Words: 357 Articles: 8

a

Words: 54 Articles: 1

Solution

Words: 54
The origin belongs to , so is nonempty. Each displayed inequality defines a closed half-space, and every half-space is a convex set. An intersection of convex sets is convex: if and , each linear inequality remains valid for . Thus is a nonempty convex polytope.
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b

Words: 108 Articles: 1

Solution

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An extreme point of a convex set is a point that cannot be written as with in and .
Start with the eight vertices of the unit cube. The constraint removes and retains the other seven. The cutting plane meets the three cube edges incident to the removed vertex at
These are new vertices. No others occur: at a vertex in three dimensions, three linearly independent bounding planes are active, and choosing triples from the six cube faces and the cutting plane yields precisely the listed points. Hence the ten extreme points are
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c

Words: 54 Articles: 1

Solution

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Put . Feasibility gives and
while the objective is
To maximize it, the required total deficit must be assigned entirely to the cheapest variable . Thus
and the unique optimizer is
This is the vertex from part (b).
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d

Words: 141 Articles: 1

Solution

Words: 141
Orient every edge of the feasible convex polytope in the direction of increasing objective. Write
The possible improving simplex method paths from to are
These exhaust the directed edge graph: the ordinary cube edges remain except those incident to the removed vertex ; each such edge ends at one of ; and the cutting face contributes the triangle with edges .
The first two paths use three pivots, while the two paths through both and use five. Therefore the smallest and largest possible numbers of simplex steps are
and the total number of distinct outcomes is
This is the simplex paths on a cube with one truncated corner calculation.
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