Part IA, 2018, Paper 1
Part IA, 2018, Paper 1
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Paper 1, Section I,
commentDefine the radius of convergence of a complex power series . Prove that converges whenever and diverges whenever .
If for all does it follow that the radius of convergence of is at least that of ? Justify your answer.
Paper 1, Section I, E
commentProve that an increasing sequence in that is bounded above converges.
Let be a decreasing function. Let and . Prove that as .
Paper 1, Section II,
comment(a) Let be differentiable at . Show that is continuous at .
(b) State the Mean Value Theorem. Prove the following inequalities:
and
(c) Determine at which points the following functions from to are differentiable, and find their derivatives at the points at which they are differentiable:
(d) Determine the points at which the following function from to is continuous:
Paper 1, Section II, D
comment(a) Let be a fixed enumeration of the rationals in . For positive reals , define a function from to by setting for each and for irrational. Prove that if then is Riemann integrable. If , can be Riemann integrable? Justify your answer.
(b) State and prove the Fundamental Theorem of Calculus.
Let be a differentiable function from to , and set for . Must be Riemann integrable on ?
Paper 1, Section II, E
commentState and prove the Comparison Test for real series.
Assume for all . Show that if converges, then so do and . In each case, does the converse hold? Justify your answers.
Let be a decreasing sequence of positive reals. Show that if converges, then as . Does the converse hold? If converges, must it be the case that as ? Justify your answers.
Paper 1, Section II, F
comment(a) Let be a function, and let . Define what it means for to be continuous at . Show that is continuous at if and only if for every sequence with .
(b) Let be a non-constant polynomial. Show that its image is either the real line , the interval for some , or the interval for some .
(c) Let , let be continuous, and assume that holds for all . Show that must be constant.
Is this also true when the condition that be continuous is dropped?
Paper 1, Section I, A
commentThe map is defined for , where is a unit vector in and is a real constant.
(i) Find the values of for which the inverse map exists, as well as the inverse map itself in these cases.
(ii) When is not invertible, find its image and kernel. What is the value of the rank and the value of the nullity of ?
(iii) Let . Find the components of the matrix such that . When is invertible, find the components of the matrix such that .
Paper 1, Section I, C
commentFor define the principal value of . State de Moivre's theorem.
Hence solve the equations (i) , (ii) , (iii) (iv)
[In each expression, the principal value is to be taken.]
Paper 1, Section II,
commentLet be non-zero real vectors. Define the inner product in terms of the components and , and define the norm . Prove that . When does equality hold? Express the angle between and in terms of their inner product.
Use suffix notation to expand .
Let be given unit vectors in , and let . Obtain expressions for the angle between and each of and , in terms of and . Calculate for the particular case when the angles between and are all equal to , and check your result for an example with and an example with .
Consider three planes in passing through the points and , respectively, with unit normals and , respectively. State a condition that must be satisfied for the three planes to intersect at a single point, and find the intersection point.
Paper 1, Section II, A
commentWhat is the definition of an orthogonal matrix ?
Write down a matrix representing the rotation of a 2-dimensional vector by an angle around the origin. Show that is indeed orthogonal.
Take a matrix
where are real. Suppose that the matrix is diagonal. Determine all possible values of .
Show that the diagonal entries of are the eigenvalues of and express them in terms of the determinant and trace of .
Using the above results, or otherwise, find the elements of the matrix
as a function of , where is a natural number.
Paper 1, Section II, B
commentLet be a real symmetric matrix.
(a) Prove the following:
(i) Each eigenvalue of is real and there is a corresponding real eigenvector.
(ii) Eigenvectors corresponding to different eigenvalues are orthogonal.
(iii) If there are distinct eigenvalues then the matrix is diagonalisable.
Assuming that has distinct eigenvalues, explain briefly how to choose (up to an arbitrary scalar factor) the vector such that is maximised.
(b) A scalar and a non-zero vector such that
are called, for a specified matrix , respectively a generalised eigenvalue and a generalised eigenvector of .
Assume the matrix is real, symmetric and positive definite (i.e. for all non-zero complex vectors ).
Prove the following:
(i) If is a generalised eigenvalue of then it is a root of .
(ii) Each generalised eigenvalue of is real and there is a corresponding real generalised eigenvector.
(iii) Two generalised eigenvectors , corresponding to different generalised eigenvalues, are orthogonal in the sense that .
(c) Find, up to an arbitrary scalar factor, the vector such that the value of is maximised, and the corresponding value of , where
Paper 1, Section II, B
comment(a) Consider the matrix
representing a rotation about the -axis through an angle .
Show that has three eigenvalues in each with modulus 1 , of which one is real and two are complex (in general), and give the relation of the real eigenvector and the two complex eigenvalues to the properties of the rotation.
Now consider the rotation composed of a rotation by angle about the -axis followed by a rotation by angle about the -axis. Determine the rotation axis and the magnitude of the angle of rotation .
(b) A surface in is given by
By considering a suitable eigenvalue problem, show that the surface is an ellipsoid, find the lengths of its semi-axes and find the position of the two points on the surface that are closest to the origin.