An Analytic Algorithm for Generalized Abel Integral Equation
An Analytic Algorithm for Generalized Abel Integral Equation
An Analytic Algorithm for Generalized Abel Integral Equation
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230 S. Kumar, O. P. Singh and S. Dixit<br />
L ( x ) =<br />
2<br />
9<br />
10<br />
x<br />
5<br />
3<br />
−<br />
27<br />
40<br />
x<br />
8<br />
3<br />
+<br />
x<br />
⎛ ⎛ 2<br />
⎜ Γ ⎜<br />
⎝ ⎝ 3<br />
⎛ 10 ⎞<br />
Γ ⎜ ⎟<br />
⎝ 3 ⎠<br />
7<br />
3<br />
⎞ ⎞<br />
⎟ ⎟<br />
⎠ ⎠<br />
2<br />
10 ⎛ 2<br />
3 ⎛ ⎞ ⎞<br />
3 x ⎜ Γ ⎜ ⎟ ⎟<br />
⎝ ⎝ 3 ⎠<br />
−<br />
⎠<br />
⎛ 10 ⎞<br />
5 Γ ⎜ ⎟<br />
⎝ 3 ⎠<br />
The Fig. (2) is drawn at the same level of truncation, n (=13) as was the case of Figure<br />
(1).<br />
2.5 10� 6<br />
2. 10� 6<br />
1.5 10� 6<br />
1. 10� 6<br />
5. 10� 7<br />
0.2 0.4 0.6 0.8 1.0<br />
Figure 2. The absolute error <strong>for</strong> Example 1, case 1(b) (n=13).<br />
From Figs.1 and 2, one observes the dependence of the convergence rate of the series<br />
(13) on the initial choice ( x).<br />
y o<br />
Case 1(c) Modified Homotopy perturbation method<br />
Writing ( ) ∑ ( ) .<br />
0<br />
∞<br />
2<br />
f x = k i x where k 0 ( x ) = x , k 1 ( x ) =<br />
i =<br />
27<br />
40<br />
8<br />
3 x and k i ( x)<br />
= 0 <strong>for</strong><br />
i ≥ 2,<br />
we get L<br />
2<br />
( x ) = x .<br />
0<br />
Hence, the various iterates are as follows:<br />
0<br />
p : L ( x ) = x<br />
p<br />
p<br />
1<br />
2<br />
:<br />
:<br />
0<br />
L ( x)<br />
=<br />
1<br />
L<br />
2<br />
27<br />
40<br />
x<br />
( x ) =<br />
2<br />
,<br />
8<br />
3<br />
x<br />
∫<br />
0<br />
−<br />
x<br />
∫<br />
0<br />
L<br />
L ( t)<br />
0<br />
( x − t)<br />
1<br />
( t )<br />
( x − t )<br />
1<br />
3<br />
There<strong>for</strong>e, one can see that Ln ( x)<br />
= 0,<br />
<strong>for</strong> all n ≥ 1,<br />
and hence,<br />
1<br />
3<br />
dt<br />
dt<br />
=<br />
=<br />
0,<br />
0 .<br />
2<br />
,...