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1G (Groups, Rings and Modules)

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Solution

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Suppose first that is finitely generated. Its quotient is generated by the images of any finite generating set of . A principal ideal domain is Noetherian, so every submodule of the finitely generated -module is finitely generated; in particular, is finitely generated.
Conversely, suppose
and is generated by the cosets . For any , its coset is an -linear combination of the , so
Expressing this remainder in terms of the shows that
Thus is finitely generated if and only if both the submodule and the quotient module are finitely generated.
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2F (Analysis and Topology)

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a

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Solution

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Let . For ,
Taking the supremum over proves that the integral operator is Lipschitz continuous, hence continuous, in the uniform norm.
It remains to see that is continuous. Since is uniformly continuous on the compact square and is bounded,
as . Therefore is well defined and continuous.
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b

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Solution

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Yes. Fubini's theorem and the triangle inequality give
Thus is Lipschitz continuous with respect to as well.
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3C (Methods)

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i

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Solution

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Multiplication by the integrating factor gives
Hence the Sturm-Liouville problem is
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ii

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Solution

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Set . Then
so the eigenvalue equation becomes
The Dirichlet eigenvalues and corresponding eigenfunctions are therefore
They form an infinite discrete increasing set. Their weighted inner products satisfy
Thus the Sturm-Liouville eigenfunction expansion coefficient is
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4D (Electromagnetism)

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Solution

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Gauss's law in electrostatics states
Cylindrical symmetry and a coaxial Gaussian cylinder give
The field vanishes inside each perfect conductor, and outside the cable because the total enclosed charge per unit length is zero.
Choose the outer conductor's potential to be zero. Since ,
The capacitance per unit length is therefore
The electrostatic energy per unit length is
Substitution of verifies .
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5A (Fluid Dynamics)

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a

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Solution

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If is the water depth and is the horizontal cross-sectional area, Torricelli's law gives the volume flux through the hole as
Conservation of volume gives
For a prescribed constant fall rate , , this requires
Consequently
so the container radius must be proportional to the fourth root of height.
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b

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Solution

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Since , the free-surface area is
until the emptying time . Equivalently,
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6H (Statistics)

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Solution

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Under the null hypothesis of independence between treatment and outcome, the expected counts in each treatment row are one half of the column totals:
The Pearson chi-squared test of independence statistic is
The number of degrees of freedom is
At the 5% level the critical value is . Since , we reject the null hypothesis and find statistically significant evidence that the drug and placebo have different effects.
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7H (Optimisation)

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Solution

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Introduce slack variables . In the initial simplex algorithm dictionary, has the largest positive objective coefficient. The ratio test gives
so enters and leaves. Solving the third constraint for gives
The objective becomes
Every reduced cost is now nonpositive, so the simplex optimality criterion gives
The other two slacks both equal one.
The dual linear program is
The vector
is dual feasible and has objective value . By weak duality, it and the displayed primal point are optimal; they also satisfy complementary slackness.
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8E (Linear Algebra)

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a

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Solution

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A direct determinant calculation gives
Moreover,
has rank one, so its kernel has dimension two, while and . Hence the minimal polynomial is
There are two Jordan blocks, because the eigenspace has dimension two, and the largest has size two, because the minimal polynomial has exponent two. Thus
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b

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i

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Solution
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Choose the least such that
Then
is nonzero by minimality, and
Therefore , so is the required nonzero eigenvector.
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ii

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Solution
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We use induction on . Suppose
Applying gives
By induction, every for . The eigenvalues are distinct, so for , and the original relation then gives . Thus eigenvectors with distinct eigenvalues are linearly independent.
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iii

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Solution
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If , the operator is invertible on . Indeed, there it equals
whose inverse is the finite geometric series
Now use induction on . If , apply . The term vanishes, while every transformed vector
is nonzero by the invertibility just proved and still lies in . The induction hypothesis rules out the resulting relation. Allowing scalar coefficients, and omitting zero terms, gives the same argument. Hence the generalized eigenspaces for distinct eigenvalues form a direct sum, so are linearly independent.
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9G (Groups, Rings and Modules)

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Solution

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A subset freely generates when every has a unique expression
with and only finitely many nonzero coefficients. Equivalently, is a basis of a module and is the free module on .
If freely generates and is any function, define
Unique coordinates make well defined; it is an -module homomorphism and is the only extension of . Conversely, apply the proposed universal property to the free module and the inclusion of into . It gives maps and extending the corresponding functions on . Uniqueness makes both composites identity maps, so and freely generates . This is the universal property of a free module.
Now let generate the free module and . Choose a maximal ideal of the nontrivial ring . Then is a field, and
is a -vector space. The images of a basis of form a vector-space basis, while the images of span it. Therefore
In particular is finite. Applying this result in both directions to two finite bases shows that they have equal cardinality, the rank of a free module .
A Euclidean domain is a principal ideal domain. By the submodule theorem for free modules over a principal ideal domain, every submodule of the finite-rank free module is free. Since a basis of generates it, the preceding inequality applied in the standard proof gives
The primary decomposition theorem for finitely generated modules over a principal ideal domain states that
where ranges over finitely many nonassociate irreducibles and the positive exponents are uniquely determined up to order. Equivalently, the torsion part decomposes into its primary cyclic summands.
Let be a finite subgroup of the multiplicative group of a field. It is a finite abelian group, hence the theorem over gives an invariant-factor decomposition
Its exponent is , so every element of is a root of . A degree- polynomial over a field has at most roots, whence
But , and equality forces all earlier factors to be trivial. Thus
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10F (Analysis and Topology)

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Solution

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Let be compact and let . Since every is supported in , the function is uniformly continuous on the compact set
Given , choose so that
whenever and . Since and ,
Property 3 makes the final term smaller than for all sufficiently large , uniformly in . Hence uniformly on every compact set. The sequence is an approximate identity.
For the second part, extend to a continuous function on by setting it equal to zero outside ; continuity at the endpoints uses . Define
These nonnegative kernels have integral one. For every , their mass outside tends to zero exponentially relative to the mass near zero, so they satisfy property 3.
For , the convolution is
Because on the square , no cutoff remains in this formula. Expanding the th power shows that is a polynomial in . The first part, applied to the compact interval , gives
This proves the Weierstrass approximation theorem for functions with the stated endpoint values.
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11E (Geometry)

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Solution

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The Poincare half-plane model is
with the orientation inherited from the complex plane. For
one has
These identities show directly that . The map is holomorphic with nonzero derivative, so it preserves orientation. The matrices and induce the same map, giving the action of PSL2(R).
Conversely, let be an orientation-preserving isometry. The PSL2(R) action is transitive on , so compose with an element taking back to . The resulting isometry fixes and acts on by an orientation-preserving orthogonal map, hence a rotation. The stabilizer of in PSL2(R),
realizes every such tangent rotation. An isometry is determined by its value and differential at one point because it preserves geodesics and the exponential map. Thus the composed isometry belongs to PSL2(R), and so does .
The map is an orientation-reversing isometry. Composing any orientation-reversing isometry with gives an orientation-preserving one, so
A hyperbolic line is a vertical Euclidean line or a semicircle orthogonal to the real axis. Its hyperbolic reflection is the unique orientation-reversing isometry that fixes every point of . If meet at angle , then
is the hyperbolic rotation about through angle . The generators satisfy
If in lowest terms, then has order and the generated group is the finite dihedral group of order . If is irrational, has infinite order and the generated group is the infinite dihedral group. In the degenerate case , the group has order two.
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a

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Solution

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Write the Taylor series of the entire function as
The Cauchy estimate on the circle gives
If , letting gives . Since is odd,
For the second question, suppose such an existed. It never vanishes, so is analytic on and
The Riemann removable singularity theorem extends analytically across zero with . Applying the result just proved with , , and makes a polynomial of degree at most zero. It must then be identically zero, contradicting away from zero. Therefore no such function exists.
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b

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i

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Solution
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Liouville theorem states that every bounded entire function is constant.
Because is simply connected, the harmonic function has a global harmonic conjugate , so
is entire. Positivity gives
Liouville's theorem makes constant. Differentiating this nonzero constant gives , so , and hence , is constant.
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ii

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Solution
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Set
Then is entire and never takes a real value. The continuous function is nowhere zero; because is connected, it has one sign everywhere. Thus either or is a positive harmonic function. Part (i) makes it constant. The Cauchy-Riemann equations then force the real part of to be constant as well. Hence and therefore are constant.
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13D (Variational Principles)

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Solution

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Take a variation with . Expanding the action gives
An integration by parts and the fixed endpoint conditions give the first variation
The fundamental lemma of the calculus of variations therefore yields the Euler-Lagrange equation
and the second variation is
Linearizing the equation of motion about gives
so the Jacobi equation is
When has no zero on ,
The total derivative integrates to zero because , hence
For the simple harmonic oscillator, the Jacobi equation is . Put and choose
If , then throughout , so is positive there. The preceding square identity proves that the classical path is a local minimum of the action whenever the elapsed time is less than half an oscillation period.
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14A (Methods)

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a

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Solution

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Direct evaluation of the integral gives
The continuous value at is zero, in agreement with the vanishing integral of the odd function . Thus
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b

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Solution

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Because is an even function, Fourier inversion reduces to a cosine integral:
Therefore
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c

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Solution

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Extend the boundary data oddly to the whole real axis. The extended function is precisely the function from part (a). Taking the Fourier transform in , the Laplace equation becomes
Decay as selects
Part (b), together with the convolution theorem, says that the inverse transform is convolution with the Poisson kernel
For this gives
The odd extension enforces , while the Poisson integral takes the prescribed boundary values at every continuity point and decays at infinity.
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d

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Solution

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By the superposition principle, interchange and in the solution from part (c) and add the two solutions:
The first term supplies the required data on the positive -axis and vanishes on the positive -axis; the second does the reverse. Explicitly,
It is harmonic in the quarter-plane, has the stated boundary values, and decays in both unbounded directions.
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15C (Quantum Mechanics)

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a

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Solution

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For a one-dimensional wavefunction,
The probability continuity equation is
For a stationary state , the probability density is independent of time, so and the probability current is constant in space.
For the plane wave
one obtains
This is a momentum eigenstate with momentum and, when it satisfies the free Schrodinger equation, energy . Its constant density and current describe a spatially uniform beam carrying probability in the sign of . It is not a normalizable wavefunction, so it represents an idealized state rather than a localized particle.
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b

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Solution

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Put
The Time-independent Schrodinger equation has the forms
The first region contains the incident and reflected waves, while the final region contains only the transmitted wave.
Continuity of and at both edges of the finite square well gives the standard transmission coefficient
When , one has , and therefore
Hence the transmission probability is
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16D (Electromagnetism)

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a

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Solution

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Write
Using the Taylor series
and retaining terms through second order in gives
This is the beginning of the multipole expansion.
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b

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Solution

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The method of images replaces the earthed plane by an image charge at . The two Coulomb potentials cancel at , so uniqueness for the Dirichlet problem makes the resulting field the physical field in . With and ,
and
The electric multipole expansion from part (a) gives, for ,
Thus the leading field is that of an electric dipole.
On the plane,
Taking the plane normal to be and using polar coordinates,
With the outward normal of the region , the sign is reversed. This is consistent with Gauss's law: all electric flux from the real charge terminates on the grounded conductor.
The electrostatic boundary condition gives the induced surface charge density
and its integral is
In the plane , the field lines leave the positive charge, meet the conductor normally, and are the right-half-plane portions of the field lines joining the real charge to its negative image.
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c

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Solution

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Successive reflections in the two grounded planes require four charges:
Their total charge and electric dipole moment vanish. Applying the second-order expansion from part (a), the terms proportional to , , and also cancel, while the mixed terms add. Thus
This is an electric quadrupole potential.
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17B (Numerical Analysis)

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a

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Solution

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For a nonzero vector , a Householder reflection is
It is immediately symmetric. If , then , so
Hence is also an orthogonal matrix, with .
The similarity transformation can be expanded as
Computing , , and the scalar costs arithmetic operations, after which the remaining updates are outer products and scalar multiples, also costing . Thus can be formed in operations rather than by two general matrix multiplications.
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b

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Solution

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Starting with , for choose a Householder reflection that acts only on coordinates and maps the tail of column ,
to a multiple of its first coordinate vector. Set
This zeros all entries in column below its first subdiagonal. Because fixes the first coordinates, it preserves the zeros created in earlier columns. After steps,
is an Upper Hessenberg matrix.
Each is orthogonal and symmetric. If
then is orthogonal and
Part (a) shows that each similarity update costs arithmetic operations, and there are updates. The total cost is therefore
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18H (Markov Chains)

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a

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i

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Solution
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A distribution is an invariant distribution when
for every state . The pair satisfies detailed balance when
for every . Summing this identity over gives
so detailed balance implies invariance.
For an irreducible positive recurrent Markov chain, Kac's lemma relates the invariant mass to the mean recurrence time:
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ii

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Solution
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The renewal-reward form of Kac's lemma says that the expected number of visits to state during one return cycle from to is
Here time spent means the number of discrete time instants at which the chain occupies between consecutive visits to .
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b

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i

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Solution
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The chain is a birth-death chain. Detailed balance between and gives
For , detailed balance between and gives
Consequently
The expected occupation time of the positive even states during a return cycle to state is therefore
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ii

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Solution
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Normalizing the invariant distribution found in part (i) gives
The mean recurrence time formula now yields
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iii

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Solution
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Let be the expected hitting time of state . For , first-step analysis gives
With this becomes
The minimal nonnegative solution has
so
Equivalently, Kac's lemma gives . A first step from either returns immediately with probability or moves to with probability , so
Substituting gives the same result.
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