NOTE: There are 9 Questions in all.
· Question 1 is compulsory and carries 20 marks. Answer to Q. 1. must be written in the space provided for it in the answer book supplied and nowhere else.
· Out of the remaining EIGHT Questions answer any FIVE Questions. Each question carries 16 marks.
· Any required data not explicitly given, may be suitably assumed and stated.
Q.1 Choose the correct or best alternative in the following: (2x10)
a. The image of the line under the mapping
is a
(A) Circle. (B) Parabola.
(C) Hyperbola. (D) Ellipse.
b. The values of z for which is real is
(A)
any
multiple of . (B)
odd multiples of
.
(C) all multiples of . (D)
any real number.
c. The value of where z = x i y is
(A) 2 (B) 0
(C) - 4i (D) i
d. Let . Then which of
the following is true:
(A)
is not
continuous at z = 0
(B)
is differentiable
at z = 0
(C) is not continuous at z = 0 but
differentiable at z = 0
(D) is continuous at z = 0 but not
differentiable at z = 0
e. The value of
integral is
(A) 0 (B) 1
(C) 1+2i (D)
f. The angle
between the surfaces and
at the point (1, 1, 1) is
(A)
(B)
(C) (D)
g. A force field is said to be
conservative if
(A)
Curl = 0 (B)
grad
= 0
(C) Div = 0 (D)
Curl (grad
)
= 0
h. The partial
differential equation is an example of
(A) Hyperbolic equation (B) Elliptic equation
(C) Parabolic equation (D) None of these
i. The inequality between mean and variance of Binomial distribution which is true is
(A) Mean < Variance (B) Mean = Variance
(C) Mean > Variance (D)
Mean Variance
= 1
j. Let f (x) be a probability
density function defined by , for
and f (x) = 0 for x < 0, then the
value of cumulative distribution function at x =2 is
(A) (B)
(C) (D)
Answer any FIVE Questions out of EIGHT Questions.
Each question carries 16 marks.
Q.2 a. Show
that the function is analytic everywhere except on the
half line y =1 , x
0. (8)
b. If
u is a harmonic function of two variables (x,y), then show that is not a harmonic
function, unless u is a constant. (8)
Q.3 a. Evaluate
the integral from
point 1-2i to point 2-i along the curve C,
. (8)
b. Find the residue of
the function at
z =
. (8)
Q.4 a. Find
all possible Taylor’s and Laurent series expansions of the function about the point z
= 1. (10)
b. Evaluate the integral , using contour
integration. (6)
Q.5 a. Find the
directional derivative of the scalar point function at the point (2, 2, 2) in
the direction of the normal to the surface
at the point
. (6)
b. If and
are constant vectors and
show that
and hence show
that
,
where r =
(10)
Q.6 a. Find the value of the surface integral where S is the
curved surface of the cylinder
bounded by the planes x = 0, x = 2. (8)
b. The vector field is defined over
the volume of the cuboid given by
,
. Evaluate the surface integral
, where S is the
surface of the cuboid. (8)
Q.7 a. A
tightly stretched string with end points fixed at x = 0 and x = L, is initially
at rest in equilibrium state. If it is set vibrating by giving to each of its
points a velocity find the displacement of the
string at any point x from one end, at any point of time t. (12)
b. Evaluate the integral , traversed
anti-clockwise. (4)
Q.8 a. A continuous type random variable X has probability density f(x) which is proportional to x2 and X takes values in the interval [0, 2]. Find the distribution function of the random variable use this to find P (X >1.2) and conditional probability P(X > 1.2/ X>1). (8)
b. A firm plans to bid Rs.300 per tonne for a contract to supply 1000 tonnes of a metal. It has two competitors A and B and it assumes that the probability that A will bid less than 300/- per tonne is 0.3 and that B will bid less than Rs.300 per tonne is 0.7. If the lowest bidder gets all the business and the firms bid independently, what is the expected value of business in rupees to the firm. (8)
Q.9 a. Suppose that on an average 1 house in 1000 houses gets fire in a year in a district. If there are 2000 houses in that district find the probability that exactly 5 houses will have fire during the year. Also find approximate probability using Poisson distribution. (8)
b. Derive the mean and variance of binomial distribution. (8)