Part IB, 2005, Paper 2
Part IB, 2005, Paper 2
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2.I.3B
commentDefine uniform continuity for a real-valued function defined on an interval in .
Is a uniformly continuous function on the interval necessarily bounded?
Is uniformly continuous on ?
Is uniformly continuous on ?
Justify your answers.
2.II.13B
commentUse the standard metric on in this question.
(i) Let be a nonempty closed subset of and a point in . Show that there is a point which minimizes the distance to , in the sense that for all .
(ii) Suppose that the set in part (i) is convex, meaning that contains the line segment between any two of its points. Show that point described in part (i) is unique.
2.II.14F
commentLet be a rational function, where and has no real zeros. Using the calculus of residues, write a general expression for
in terms of residues and briefly sketch its proof.
Evaluate explicitly the integral
2.I.6H
commentWrite down Maxwell's equations in the presence of a charge density and current density . Show that it is necessary that satisfy a conservation equation.
If are zero outside a fixed region show that the total charge inside is a constant and also that
2.II.17H
commentAssume the magnetic field
where is a unit vector in the vertical direction. Show that this satisfies the expected equations for a static magnetic field in vacuum.
A circular wire loop, of radius , mass and resistance , lies in a horizontal plane with its centre on the -axis at a height and there is a magnetic field given by . Calculate the magnetic flux arising from this magnetic field through the loop and also the force acting on the loop when a current is flowing around the loop in a clockwise direction about the -axis.
Obtain an equation of motion for the height when the wire loop is falling under gravity. Show that there is a solution in which the loop falls with constant speed which should be determined. Verify that in this situation the rate at which heat is generated by the current flowing in the loop is equal to the rate of loss of gravitational potential energy. What happens when ?
2.I.8E
commentFor a steady flow of an incompressible fluid of density , show that
where is the vorticity and is to be found. Deduce that is constant along streamlines.
Now consider a flow in the -plane described by a streamfunction . Evaluate and deduce from that
2.II.12A
commentLet be an open subset of equipped with a Riemannian metric. For a smooth curve, define what is meant by its length and energy. Prove that length , with equality if and only if has constant norm with respect to the metric.
Suppose now is the upper half plane model of the hyperbolic plane, and are points on the positive imaginary axis. Show that a smooth curve joining and represents an absolute minimum of the length of such curves if and only if , with a smooth monotonic real function.
Suppose that a smooth curve joining the above points and represents a stationary point for the energy under proper variations; deduce from an appropriate form of the Euler-Lagrange equations that must be of the above form, with constant.
2.I.2C
commentDefine an automorphism of a group , and the natural group law on the set of all automorphisms of . For each fixed in , put for all in . Prove that is an automorphism of , and that defines a homomorphism from into .
2.II.11C
commentLet be the abelian group generated by two elements , subject to the relation . Give a rigorous explanation of this statement by defining as an appropriate quotient of a free abelian group of rank 2. Prove that itself is not a free abelian group, and determine the exact structure of .
2.I.1C
commentLet be the set of all matrices of the form , where are in , and
Prove that is closed under multiplication and determine its dimension as a vector space over . Prove that
and deduce that each non-zero element of is invertible.
2.II.10C
comment(i) Let be an matrix with entries in C. Define the determinant of , the cofactor of each , and the adjugate matrix . Assuming the expansion of the determinant of a matrix in terms of its cofactors, prove that
where is the identity matrix.
(ii) Let
Show the eigenvalues of are , where , and determine the diagonal matrix to which is similar. For each eigenvalue, determine a non-zero eigenvector.
2.II.20D
commentConsider a Markov chain with state space and transition probabilities given by
with , otherwise, where and .
For each , let
that is, the probability that the chain ever hits the state 0 given that it starts in state . Write down the equations satisfied by the probabilities and hence, or otherwise, show that they satisfy a second-order recurrence relation with constant coefficients. Calculate for each .
Determine for each value of , whether the chain is transient, null recurrent or positive recurrent and in the last case calculate the stationary distribution.
[Hint: When the chain is positive recurrent, the stationary distribution is geometric.]
2.I.5E
commentConsider the differential equation for in
subject to boundary conditions , and . Find the Green function such that the solution for is given by
2.II.15E
commentWrite down the Euler-Lagrange equation for the variational problem for
with boundary conditions , where is a given positive constant. Show that if does not depend explicitly on , i.e. , then the equation has a first integral
where is a constant.
An axisymmetric soap film is formed between two circular rings at . Find the equation governing the shape which minimizes the surface area. Show that the shape takes the form
Show that there exist no solution if , where is the unique positive solution of .
2.I.4A
commentLet be a topological space. Suppose that are connected subsets of with non-empty for all . Prove that
is connected. If each is path-connected, prove that is path-connected.
2.II.18F
comment(a) Let be a set of polynomials orthogonal with respect to some inner product in the interval . Write explicitly the least-squares approximation to by an th-degree polynomial in terms of the polynomials .
(b) Let an inner product be defined by the formula
Determine the th degree polynomial approximation of with respect to this inner product as a linear combination of the underlying orthogonal polynomials.
2.I.9D
commentExplain what is meant by a two-person zero-sum game with payoff matrix .
Show that the problems of the two players may be expressed as a dual pair of linear programming problems. State without proof a set of sufficient conditions for a pair of strategies for the two players to be optimal.
2.II.16G
commentA particle of mass moving in a one-dimensional harmonic oscillator potential satisfies the Schrödinger equation
where the Hamiltonian is given by
The operators and are defined by
where and is the usual momentum operator. Show that .
Express and in terms of and and, hence or otherwise, show that can be written in the form
Show, for an arbitrary wave function , that and hence that the energy of any state satisfies the bound
Hence, or otherwise, show that the ground state wave function satisfies and that its energy is given by
By considering acting on , and so on, show that states of the form
are also eigenstates and that their energies are given by
2.I.7G
commentBob and Alice are twins. Bob accelerates rapidly away from Earth in a rocket that travels in a straight line until it reaches a velocity relative to the Earth. It then travels with constant for a long time before reversing its engines and decelerating rapidly until it is travelling at a velocity relative to the Earth. After a further long period of time the rocket returns to Earth, decelerating rapidly until it is at rest. Alice remains on Earth throughout. Sketch the space-time diagram that describes Bob's world-line in Alice's rest frame, assuming that the periods of acceleration and deceleration are negligibly small compared to the total time, explain carefully why Bob ages less than Alice between his departure and his return and show that
where is the time by which Bob has aged and is the time by which Alice has aged.
Indicate on your diagram how Bob sees Alice aging during his voyage.
2.II.19D
commentLet be a random sample from a probability density function , where is an unknown real-valued parameter which is assumed to have a prior density . Determine the optimal Bayes point estimate of , in terms of the posterior distribution of given , when the loss function is
where and are given positive constants.
Calculate the estimate explicitly in the case when is the density of the uniform distribution on and .