Part IA, 2001, Paper 2
Part IA, 2001, Paper 2
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2.I.1B
commentFind the solution to
in the range subject to , where is the Heavyside function defined by
Sketch the solution.
2.I.2B
commentThe function satisfies the inhomogeneous second-order linear differential equation
Find the solution that satisfies the conditions that and is bounded as .
2.II.5B
commentThe real sequence satisfies the difference equation
Show that the general solution can be written
where and are arbitrary real constants.
Now let satisfy
Show that a particular solution of can be written in the form
where
and .
Hence, find the general solution to .
2.II.7B
commentConsider the linear system
where
where is real and is a real constant, .
Find a (complex) eigenvector, e, of and its corresponding (complex) eigenvalue, . Show that the second eigenvector and corresponding eigenvalue are respectively and , where the bar over the symbols signifies complex conjugation. Hence explain how the general solution to can be written as
where is complex.
Write down a differential equation for and hence, for , deduce the solution to which satisfies the initial condition .
Is the linear system resonant?
By taking the limit of the solution already found deduce the solution satisfying when .
2.II.8B
commentCarnivorous hunters of population prey on vegetarians of population . In the absence of hunters the prey will increase in number until their population is limited by the availability of food. In the absence of prey the hunters will eventually die out. The equations governing the evolution of the populations are
where and are positive constants, and and are non-negative functions of time, . By giving an interpretation of each term explain briefly how these equations model the system described.
Consider these equations for . In the two cases and determine the location and the stability properties of the critical points of . In both of these cases sketch the typical solution trajectories and briefly describe the ultimate fate of hunters and prey.
2.I.3F
commentThe following problem is known as Bertrand's paradox. A chord has been chosen at random in a circle of radius . Find the probability that it is longer than the side of the equilateral triangle inscribed in the circle. Consider three different cases:
a) the middle point of the chord is distributed uniformly inside the circle,
b) the two endpoints of the chord are independent and uniformly distributed over the circumference,
c) the distance between the middle point of the chord and the centre of the circle is uniformly distributed over the interval .
[Hint: drawing diagrams may help considerably.]
2.I.4F
commentThe Ruritanian authorities decided to pardon and release one out of three remaining inmates, and , kept in strict isolation in the notorious Alkazaf prison. The inmates know this, but can't guess who among them is the lucky one; the waiting is agonising. A sympathetic, but corrupted, prison guard approaches and offers to name, in exchange for a fee, another inmate (not who is doomed to stay. He says: "This reduces your chances to remain here from to : will it make you feel better?" hesitates but then accepts the offer; the guard names .
Assume that indeed will not be released. Determine the conditional probability
and thus check the guard's claim, in three cases:
a) when the guard is completely unbiased (i.e., names any of and with probability if the pair is to remain jailed),
b) if he hates and would certainly name him if is to remain jailed,
c) if he hates and would certainly name him if is to remain jailed.
2.II.10F
commentA random point is distributed uniformly in a unit circle so that the probability that it falls within a subset is proportional to the area of . Let denote the distance between the point and the centre of the circle. Find the distribution function , the expected value and the variance .
Let be the angle formed by the radius through the random point and the horizontal line. Prove that and are independent random variables.
Consider a coordinate system where the origin is placed at the centre of . Let and denote the horizontal and vertical coordinates of the random point. Find the covariance and determine whether and are independent.
Calculate the sum of expected values . Show that it can be written as the expected value and determine the random variable .
2.II.11F
commentDipkomsky, a desperado in the wild West, is surrounded by an enemy gang and fighting tooth and nail for his survival. He has guns, , pointing in different directions and tries to use them in succession to give an impression that there are several defenders. When he turns to a subsequent gun and discovers that the gun is loaded he fires it with probability and moves to the next one. Otherwise, i.e. when the gun is unloaded, he loads it with probability or simply moves to the next gun with complementary probability . If he decides to load the gun he then fires it or not with probability and after that moves to the next gun anyway.
Initially, each gun had been loaded independently with probability . Show that if after each move this distribution is preserved, then . Calculate the expected value and variance Var of the number of loaded guns under this distribution.
[Hint: it may be helpful to represent as a sum of random variables taking values 0 and 1.]
2.II.12F
commentA taxi travels between four villages, , situated at the corners of a rectangle. The four roads connecting the villages follow the sides of the rectangle; the distance from to and to is 5 miles and from to and to miles. After delivering a customer the taxi waits until the next call then goes to pick up the new customer and takes him to his destination. The calls may come from any of the villages with probability and each customer goes to any other village with probability . Naturally, when travelling between a pair of adjacent corners of the rectangle, the taxi takes the straight route, otherwise (when it travels from to or to or vice versa) it does not matter. Distances within a given village are negligible. Let be the distance travelled to pick up and deliver a single customer. Find the probabilitites that takes each of its possible values. Find the expected value and the variance Var .