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Real Analysis: MDE/M-23

The document outlines an examination paper for a Real Analysis course, detailing the structure and content of the exam including various mathematical problems and concepts. It covers topics such as uniform convergence, integrability, and properties of functions, with specific questions designated for each unit. The paper is designed for students to demonstrate their understanding of advanced mathematical theories and applications.

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0% found this document useful (0 votes)
28 views3 pages

Real Analysis: MDE/M-23

The document outlines an examination paper for a Real Analysis course, detailing the structure and content of the exam including various mathematical problems and concepts. It covers topics such as uniform convergence, integrability, and properties of functions, with specific questions designated for each unit. The paper is designed for students to demonstrate their understanding of advanced mathematical theories and applications.

Uploaded by

gkcheti0786
Copyright
© © All Rights Reserved
We take content rights seriously. If you suspect this is your content, claim it here.
Available Formats
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You are on page 1/ 3

Roll No. .........................

Total Pages : 5
Show that { f n } converges uniformly to a function f,
MDE/M-23 4078 and that the equation
REAL ANALYSIS F1 ( x ) = lim Fn1 ( x ) 8
n→∞
Paper–II : MM–402
3. (a) Suppose the series
Time Allowed : 3 Hours] [Maximum Marks : 80

Note : Attempt five questions in all, selecting at least one
question from each Unit. ∑ Cn x n
n =0
UNIT–I
converges for x < R, and define
1. (a) If f ∈ℝ on [a, b] and if there is a differentiable
function F on [a, b] such that F1 = f, then ∞
F( x) = ∑ Cn x n ( x < R ).
b n =0
∫ f ( x ) dx = F ( b) − F ( a ) . 8
a ∞
Then ∑ Cn x n converges uniformly on
(b) Suppose f ∈ ℝ ( α ) on [a, b], m ≤ f ≤ M, φ is n =0

continuous on [m, M], and h ( x ) = φ ( f ( x ) ) on [a, b]. [ − R + ∈, R − ∈] ,


no matter which ∈> 0 is chosen. The
function F is continuous and differentiable in (–R,
Then h ∈ ℝ ( α ) on [a, b]. 8

2. (a) Define norm of a function F ∈ζ ( x ) . Prove that ζ ( x )


R), and F1 ( x ) = ∑ nCn x n −1 ( x < R ). 8
n =1
is complete metric space. 8
(b) For n = 1, 2, 3, ..., x real, put 4
3
(b) (i) Show that ∫ xd ([ x ] − x ) = 2. Where [x] is the
x
Fn ( x ) =
0
2
.
1 + nx greatest integer not exceeding x.

4078/K/822/800 P. T. O. 4078/K/822/800 2

−π (b) Let g be an integrable function on E and let { Fn } be
(ii) ∫ sin x d ( cos x ) = . 8
π
2 a sequence of measurable functions such that Fn ≤ g

UNIT–II
on E and lim Fn = f a.e. on E. Then
n→∞
∫ F = nlim
→∞
∫ Fn .
E E
n
4. (a) Suppose F maps an open set E ⊂ R into Rm. 8
Then F ∈ ℓ1 ( E ) if and only if the partial derivatives 7. (a) Evaluate the integral (Lebesgue) for the function
DjFi exist and are continuous on E for 1 ≤ i ≤ m, F : [ 0, ∞ ] → ℝ given by
1 ≤ j ≤ n. 8
 sin x if x≠0

F( x) =  x
(b) If F ∈ℓ R n ( ) and the support of F lies in K,
 0 if x=0
8

s
then F = ∑ ψ i F. Each ψ i F has its support in some (b) Let F be a bounded function defined on [a, b]. If F is
i =1 Riemann integrable over [a, b], then it is Lebesgue
b b
Vα . 8
integrable and R ∫ f ( x ) dx = L ∫ f ( x ) dx. 8
5. State and prove the Inverse function theorem. 16 a a

UNIT–III UNIT–IV

6. (a) Let { Ei } be on infinite decreasing sequence of 8. (a) Let F be a function of bounded variation on [a, b].
Then F is continuous at a point in [a, b] if and only
measurable sets; that is, a sequence with Ei+1 ⊂ Ei
if its variation function Vf is so. 8
for each i ∈ℕ. Let m ( Ei ) < ∞ for at least one i ∈ℕ. (b) Let F be a bounded and measurable function defined
Then x
on [a, b]. If F ( x ) = ∫ f ( t ) dt + F ( a ) , then
∞  a
m  ∩ Ei  = lim m ( E n ) . 8
 i=1  n→∞ F1 ( x ) = f ( x ) a.e. in [a, b]. 8

4078/K/822/800 3 P. T. O. 4078/K/822/800 4
9. (a) If F is an absolutely continuous function on [a, b],
then F is an indefinite integral of its derivative; more
precisely:

x
F ( x ) = ∫ f ( t ) dt + C,
a

where f = F1 and C is a constant. 8


(b) For p, 1 ≤ p < ∞, prove that :

(i) if g ∈ Lp and f < g , then

f ∈ Lp

(ii) if F, g ∈ Lp , then

p
fg ∈ L2 . 8

10. Show that the normed spaces Lp , 1 ≤ p ≤ ∞, are


complete. 16

4078/K/822/800 5

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