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1E (Groups, Rings and Modules)

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a

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Solution

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The zero element is torsion. If , choose nonzero with and . Since is an integral domain, , and
Thus . If , then , so . Hence is closed under addition and scalar multiplication and is an submodule of .
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b

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Solution

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If , then for some nonzero , and
Thus . The formula
is consequently independent of the representative and defines an -module homomorphism on the quotient module.
If is injective and , then is torsion, so for some nonzero . Injectivity gives , hence . Therefore
The converse fails. For , take
Then is not injective, but quotienting by its torsion submodule leaves , and is the identity.
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2G (Analysis and Topology)

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Solution

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Because is a bijection and is a metric,
is nonnegative, symmetric, obeys the triangle inequality, and vanishes exactly when . Hence it is a metric. Its open sets are precisely the inverse images under of -open sets in . Since is a homeomorphism, these are exactly the -open sets. Thus and are equivalent metrics.
Let
a homeomorphism , and define
This metric induces the standard topology on . However, the sequence is -Cauchy because . If it converged to , then continuity of would give , impossible. Therefore is not complete.
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3B (Methods)

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Solution

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The method of characteristics gives
Along a characteristic,
Thus the characteristics are circles , traversed counterclockwise, and is constant on each circle. Their intersections with the -axis have , where the boundary value is . Hence
The characteristic sketch is the family of concentric circles centred at the origin.
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4D (Electromagnetism)

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Solution

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The uniform charge density is
Spherical symmetry and Gauss's law give
Take the first centre as the origin, so the second centre is at . In the overlap, each point lies inside both spheres. Superposition gives
The field is therefore constant throughout the overlap region.
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5C (Fluid Dynamics)

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a

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Solution

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The divergence is
Thus the flow is incompressible.
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b

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Solution

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A particle released at the origin at time satisfies
Integration gives
Its distance from the origin is therefore
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c

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Solution

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At a fixed observation time , varying the release time gives
Hence the dye streakline is the parabolic arc
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6H (Statistics)

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a

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Solution

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Let
Ignoring the immaterial choice of density values at the sample points, the likelihood function is
Between consecutive order statistics, is constant while decreases with . A maximum can therefore be moved to the left endpoint of one of these intervals. With an equivalent version using , the maximum is attained at a sample order statistic. Thus the maximum-likelihood estimator coincides with one of .
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b

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Solution

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The density is an equal mixture of the uniform distributions on and . Hence
so
Thus is unbiased.
Also,
The central limit theorem gives
Replacing in the asymptotic standard error by the consistent estimator gives the Wald confidence interval
It may be intersected with the parameter space .
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7H (Optimisation)

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Solution

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The Lagrange sufficiency theorem says that for a convex differentiable objective and convex differentiable inequality constraints, any feasible point satisfying the Karush-Kuhn-Tucker conditions with nonnegative multipliers is a global minimizer.
Write
The unconstrained maximizer of on the disc violates , so both boundaries are active at the optimum. Their intersections are
and gives the smaller objective.
To certify it, at choose
Then
both multipliers are nonnegative, and complementary slackness holds because both constraints are active. The sufficiency theorem therefore gives
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8F (Linear Algebra)

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Solution

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Let satisfy for every vector . If there is nothing to prove. Otherwise choose with . For every and every real number ,
so the hypothesis gives . Taking two values of shows that . Since
we obtain . Thus one of the two linear functionals is zero.
Sylvester's law of inertia says that, in a suitable basis, every real quadratic form is
The rank is , and the signature is ; both are independent of the chosen basis.
If , its polar form has image contained in , so . If , the two functionals must be independent and, after taking their sum and difference, is a difference of two squares. Hence . If , then . In every case,
Conversely, this inequality leaves only
up to a linear change of coordinates. These factor respectively as , , and . Therefore
Finally suppose that takes both positive and negative values. Sylvester's law supplies normalized basis vectors
with , , and the spanning the radical. The vectors
are linearly independent and all satisfy . They form the required basis of isotropic vectors.
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9E (Groups, Rings and Modules)

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Solution

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A Sylow subgroup of a finite group is a subgroup whose order is the largest power of a prime dividing . The Sylow theorems say that such subgroups exist, that every -subgroup lies in one, that all Sylow -subgroups are conjugate, and that their number divides and obeys .
For the last congruence, let one Sylow -subgroup act by conjugation on the set of all Sylow -subgroups. Every orbit other than a fixed point has size divisible by . If is fixed, then . They are Sylow subgroups of this normalizer, so they are conjugate within ; because every element of fixes under conjugation, this forces . Thus there is exactly one fixed point and .
Now let have index with . The coset action gives a homomorphism
Its kernel is a normal subgroup of the simple group . It cannot be all of , since the action is transitive and nontrivial, so it is trivial. This would embed into , contrary to . Hence no such subgroup exists.
Suppose finally that a group of order were simple. The Sylow count satisfies
and simplicity excludes , so . Conjugation on these six subgroups gives a nontrivial homomorphism , which simplicity makes injective. Its image lies in , because the composite with the sign homomorphism must be trivial. It would therefore be a subgroup of of index , contradicting the result just proved. Thus
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10G (Analysis and Topology)

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Solution

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The implicit function theorem states that if and the partial derivative is an invertible linear map, then near the zero set of is uniquely the graph of a continuously differentiable function.
If is a differentiable bijection with differentiable inverse , the chain rule applied to and gives
Thus is an isomorphism with inverse .
If a continuously differentiable map has invertible derivative everywhere, the inverse function theorem makes it a local diffeomorphism. In particular it is an open map, so its image is open. Its image need not be closed: has nonzero derivative everywhere and image .
For the given map of elementary symmetric polynomials,
and direct evaluation of the determinant gives
Hence the critical set is
Its complement is the Zariski-open set on which the three coordinates are pairwise distinct. Each point has one of the six possible strict coordinate orderings, and each ordering defines a nonempty convex open region. A continuous path cannot change an ordering without crossing . Therefore has exactly
connected components.
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11F (Geometry)

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a

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Solution

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With
the coordinate tangent vectors satisfy
Thus the first fundamental form is
Geometrically, is the half of a helicoid with positive radius, winding upwards indefinitely.
Consider the upper half of the catenoid, parametrized as the surface of revolution
It has the same first fundamental form, so defines a local isometry. By the invariance of Gaussian curvature under local isometry, the curvatures agree; directly, the conformal metric above gives
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b

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Solution

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For an oriented regular surface with unit normal , the Gauss map sends each point to . The outward normal to the catenoid is
Its image is the open southern hemisphere, apart from its limiting equator and south pole. The Gauss map is one-to-one after taking modulo and reverses orientation. Since the Jacobian of the Gauss map is the Gaussian curvature, its signed spherical area is the total Gaussian curvature:
Equivalently, , whose integral over and is .
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c

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Solution

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The helicoid has no angular identification: its height coordinate is . Consequently
The catenoid has total curvature . A global Riemannian isometry preserves both the Gaussian curvature and the area element, hence preserves total curvature. Therefore
The same obstruction is visible in the parameter map: increasing by gives a different point of the helicoid but the same point of the catenoid.
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a

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Solution

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Close the contour in the upper half-plane. The degree assumption and Jordan lemma make the integral over the large semicircle tend to zero, while the absence of real zeros avoids indentations of the contour. The residue theorem therefore gives
Repeated roots are handled by the usual higher-order residue formula.
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b

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Solution

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Apply the formula to
The upper-half-plane poles are
and their residues are . Writing , their sum is
Since the cosine part of is odd, its integral vanishes, while the sine part is even. Hence
so
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13D (Variational Principles)

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a

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Solution

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For fixed endpoint values, the first variation of the functional
vanishes exactly when the Euler-Lagrange equation
holds. If has no explicit dependence, differentiation along an extremal gives the Beltrami identity
For a further constraint , introduce a constant Lagrange multiplier and apply the Euler-Lagrange equation to ; is then chosen so that the constraint holds.
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b

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i

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Solution
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Enforce the fixed arc length with a multiplier. Apart from an irrelevant common factor, the augmented integrand is
The Beltrami identity gives
After absorbing constants into and a positive scale , integration yields the catenary
The endpoint conditions and prescribed length give
The second equation determines implicitly because , and the first then determines .
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ii

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Solution
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For the lower semicircle
For a general potential, the Beltrami first integral is
Substitution of the semicircle therefore requires
Thus, up to an arbitrary additive constant and a multiplicative strength,
The additive constant is absorbed by the length multiplier. The semicircle has length , as required.
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14A (Methods)

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a

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Solution

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Substitution of gives
For a second solution , the ordinary differential equation reduces to . Taking gives the linearly independent solution
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b

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Solution

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The solution satisfies the left boundary condition, while satisfies decay at infinity. The proposed expression for is therefore the correct left homogeneous solution. For , write . Continuity at gives
Hence the Green function is
Indeed, its derivative has the required unit jump,
which produces the Dirac delta distribution in .
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c

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Solution

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For , the Green representation of the boundary value problem is
Splitting the integral at gives
Therefore
It satisfies and tends to zero as .
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15B (Quantum Mechanics)

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a

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Solution

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Inside the infinite square well, the time-independent Schrodinger equation has Dirichlet boundary conditions at and . Its normalized energy eigenstates and energy eigenvalues are
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b

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i

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Solution
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Expand the normalized initial wavefunction in the orthonormal energy basis:
The Time-dependent Schrodinger equation then gives the unitary time evolution
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ii

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Solution
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For
the phase of the th stationary state is
Reflection in the midpoint gives
so
The minus sign is a global quantum phase and therefore does not change the physical state. The relative even--odd phases first acquire this reflection pattern at . Applying it twice gives
If vanishes on the right half of the well, then vanishes on the left half. The Born rule consequently gives zero probability of finding the particle in at time .
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iii

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Solution
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The specified initial state is normalized. The requested energy is , and its probability amplitude is
Thus the Born rule gives
Unitary evolution changes each energy coefficient only by a phase, so this probability remains at both and . If an energy measurement returns , the state collapses to the nondegenerate eigenstate ; a subsequent energy measurement therefore returns with probability
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16D (Electromagnetism)

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a

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Solution

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The Maxwell equation , integrated over a fixed spanning surface , gives by Stokes theorem
Thus the electromotive force and magnetic flux obey Faraday's law
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b

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i

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Solution
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By cylindrical symmetry the field is azimuthal and constant on a circle of radius . The Ampère's law for a steady current gives
so
In the plane with , it points in the direction.
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ii

Words: 76 Articles: 1
Solution
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At time , let the centre of the loop have coordinate . With normal , the magnetic flux is
Faraday's law and Ohm's law therefore give a current of magnitude
The original flux points into the plane and decreases in magnitude as the loop recedes. By Lenz's law, the induced current reinforces the into-plane field: it is clockwise when viewed from the side.
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iii

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Solution
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Translation parallel to the wire leaves every point of the loop at the same distance from the wire, so its magnetic flux is constant. Equivalently, the line integrals of the motional field cancel on opposite sides. Hence
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17C (Numerical Analysis)

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a

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Solution

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Writing at , the implicit stage has the expansion
Thus one step is
The exact Taylor expansion has third-order term
The coefficients agree through order two for every real , while the coefficient prevents order three for any . Hence the order of a Runge-Kutta method is
(The linear special case has one extra matched term when , but the order for general nonlinear equations remains two.)
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b

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Solution

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Apply the method to the linear test equation and put . Solving the implicit stage gives the stability function
If , the quadratic numerator makes unbounded as , so the method cannot be A-stable. For ,
which is the trapezoidal rule stability function and satisfies whenever . Therefore
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18H (Markov Chains)

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a

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Solution

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The chain is an irreducible birth-death process. The detailed balance equations are
so . Normalization gives the stationary distribution
An irreducible countable-state Markov chain that possesses a stationary probability distribution is positive recurrent. Hence is positive recurrent.
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b

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Solution

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The self-loop at zero makes the irreducible chain aperiodic. The convergence theorem for irreducible, aperiodic, positive recurrent countable-state chains gives
Because and are independent,
Therefore
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c

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Solution

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The pair is an irreducible positive recurrent product Markov chain with stationary distribution
The stationary cycle occupation formula says that, during one return cycle to a state , the expected number of visits to a set is . Take
Then
The initial and terminal states both have , so either convention for including the endpoints gives the same count. Thus
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