When x=1, βunβ=21β+21β+21β+β―+β, which is divergent.
Hence the given series converges for x<1 and diverges for xβ₯1.
(ii) Discuss the convergence of the series:
1β2x+3x2β4x3+β―(x<21β)
To discuss the convergence of the series:
1β2x+3x2β4x3+β―(x<21β)
We can start by considering the general term and applying appropriate convergence tests.
Analysis of the General Term
The general term of the series can be written as:
anβ=(β1)n(n+1)xn
Ratio Test
The ratio test can be used to determine the convergence of the series. For the ratio test,
we examine the limit of the absolute value of the ratio of successive terms:
For the series to converge, the ratio must be less than 1:
β£xβ£<1
Given the condition x<21β, it is clear that β£xβ£<21β, which is indeed less than 1.
Hence, the ratio test confirms the convergence of the series for x<21β.
2.(i) Test the following series for absolute convergence:
βn=1ββ2nβ1(β1)nβ1β
Given series is βunβ=1β31β+51ββ71β+........β
This is an alternating series of which terms go on decreasing and
Hence the given series converges and the series of absolute terms diverges, therefore the given series converges conditionally.
(ii) Examine for term by term integration the series which fnβ(x)=nxeβn2x2 in the intervals (i)[0,1] and (ii)[c,1] where 0<c<1.
To examine the series for term-by-term integration where fnβ(x)=nxeβn2x2 in the intervals (i)[0,1] and (ii)[c,1] where 0<c<1,
we need to check whether the series βn=1ββfnβ(x) can be integrated term by term within these intervals.
Series Definition
The series is:
n=1βββnxeβn2x2
Term-by-Term Integration
For term-by-term integration, we need to ensure uniform convergence of the series within the given intervals.
Interval (i): [0,1]
Let's analyze the behavior of fnβ(x) on the interval [0,1].
Pointwise Convergence:
For each fixed xβ[0,1]:
nββlimβfnβ(x)=nββlimβnxeβn2x2
Since eβn2x2 decays very rapidly as n increases, fnβ(x)β0 for each xβ[0,1].
Uniform Convergence:
To check uniform convergence on [0,1], consider the maximum value of fnβ(x):
fnβ(x)=nxeβn2x2
Let gnβ(x)=neβn2x2. The maximum of gnβ(x) occurs at x=n1β:
gnβ(n1β)=neβn2(n1β)2=neβ1
Thus, for xβ[0,1]:
β£fnβ(x)β£β€nxeβn2x2β€neβ1
Since neβ1β0 as nββ, the series converges uniformly to 0 on [0,1].
Interval (ii): [c,1] where 0<c<1
Pointwise Convergence:
For each fixed xβ[c,1]:
nββlimβfnβ(x)=nββlimβnxeβn2x2=0
As before, fnβ(x)β0 for each xβ[c,1].
Uniform Convergence:
On [c,1], the behavior of fnβ(x) is more straightforward since x is bounded away from 0:
fnβ(x)=nxeβn2x2
For xβ₯c:
fnβ(x)β€neβn2c2
As nββ:
neβn2c2β0
Therefore, the series converges uniformly to 0 on [c,1].
SECTION - B
3.(i) Verify Rolle's theorem for the function f(x)=x(x+3)e2βxβ in [β3,0].
To verify Rolle's Theorem for the function f(x)=x(x+3)e2βxβ in the interval [β3,0], we need to check the hypotheses of Rolle's Theorem and then find the value of c in the interval (β3,0) where fβ²(c)=0.
Rolle's Theorem states that if a function is continuous on the closed interval [a,b] and differentiable on the open interval (a,b), then:
Continuity and Differentiability:
The given function f(x)=x(x+3)e2βxβ is a product of a polynomial and an exponential function, which are both continuous and differentiable everywhere. Hence, f is continuous on [β3,0] and differentiable on (β3,0).
Checking f(a)=f(b):
We need to verify that f(β3)=f(0). f(β3)=(β3)(β3+3)e23β=(β3)(0)e23β=0 f(0)=0(0+3)e2β3β=0
Since f(β3)=f(0)=0, the function satisfies the condition f(a)=f(b).
Finding c where fβ²(c)=0:
According to Rolle's Theorem, there exists a value of c such that fβ²(c)=0.
The function is given as: f(x)=x(x+3)e2βxβ
Expanding it: f(x)=(x2+3x)e2βxβ
Using the product rule for differentiation: fβ²(x)=(2x+3)e2βxβ+(x2+3x)(β21β)e2βxβ
Simplifying: fβ²(x)=e2βxβ[(2x+3)β21β(x2+3x)] fβ²(x)=e2βxβ[24x+6βx2β3xβ] fβ²(x)=e2βxβ[βx2+x+6]
Solving fβ²(x)=0: e2βxβ[x2βxβ6]=0
Since e2βxβξ =0, we solve: x2βxβ6=0
Factoring: x2β3x+2xβ6=0 x(xβ3)+2(xβ3)=0 (x+2)(xβ3)=0 x=β2orx=3
Since x=β2 lies in the interval [β3,0], we take c=β2.
Hence, Rolle's Theorem is verified.
(ii) Use Cauchy's Mean Value theorem to evaluate:
limxβ1βlog(x1β)cos(2Οxβ)β
Cauchy's Mean Value Theorem states that if functions f and g are continuous on [a,b] and differentiable on (a,b),
and gβ²(x)ξ =0 for all xβ(a,b), then there exists a point cβ(a,b) such that:
gβ²(c)fβ²(c)β=g(b)βg(a)f(b)βf(a)β
We need to evaluate the following limit using CMVT:
xβ1limβlog(x1β)cos(2Οxβ)β
Steps to Solve:
Rewrite the limit in a suitable form:
We rewrite the limit as:
xβ1limβlog(x1β)cos(2Οxβ)β
Notice that log(x1β)=βlog(x), so the limit becomes:
xβ1limββlog(x)cos(2Οxβ)β
This is in the form g(x)f(x)β, where f(x)=cos(2Οxβ) and g(x)=βlog(x).
Apply CMVT:
By CMVT, there exists a point cβ(a,b) such that: