differential equation
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466 DIFFERENTIAL EQUATIONS<br />
Table 49.8<br />
x y y ′<br />
1. 0 2 2<br />
2. 0.1 2.205 2.105<br />
3. 0.2 2.421025 2.221025<br />
4. 0.3 2.649232625 2.349232625<br />
5. 0.4 2.89090205 2.49090205<br />
6. 0.5 3.147446765<br />
For line 3, x 1 = 0.2<br />
y P1 = y 0 + h(y ′ ) 0 = 2.205 + (0.1)(2.105)<br />
= 2.4155<br />
y C1 = y 0 + 1 2 h[(y′ ) 0 + f (x 1 , y P1 )]<br />
= 2.205 +<br />
2 1 (0.1)[2.105 + (2.4155 − 0.2)]<br />
= 2.421025<br />
(y ′ ) 0 = y C1 − x 1 = 2.421025 − 0.2 = 2.221025<br />
For line 4, x 1 = 0.3<br />
y P1 = y 0 + h(y ′ ) 0<br />
= 2.421025 + (0.1)(2.221025)<br />
= 2.6431275<br />
y C1 = y 0 + 1 2 h[(y′ ) 0 + f (x 1 , y P1 )]<br />
= 2.421025 + 1 2 (0.1)[2.221025<br />
= 2.649232625<br />
+ (2.6431275 − 0.3)]<br />
(y ′ ) 0 = y C1 − x 1 = 2.649232625 − 0.3<br />
= 2.349232625<br />
For line 5, x 1 = 0.4<br />
y P1 = y 0 + h(y ′ ) 0<br />
= 2.649232625 + (0.1)(2.349232625)<br />
= 2.884155887<br />
y C1 = y 0 + 1 2 h[(y′ ) 0 + f (x 1 , y P1 )]<br />
= 2.649232625 + 1 2 (0.1)[2.349232625<br />
= 2.89090205<br />
(y ′ ) 0 = y C1 − x 1 = 2.89090205 − 0.4<br />
= 2.49090205<br />
For line 6, x 1 = 0.5<br />
y P1 = y 0 + h(y ′ ) 0<br />
+ (2.884155887 − 0.4)]<br />
= 2.89090205 + (0.1)(2.49090205)<br />
= 3.139992255<br />
y C1 = y 0 + 1 2 h[(y′ ) 0 + f (x 1 , y P1 )]<br />
= 2.89090205 + 1 2 (0.1)[2.49090205<br />
= 3.147446765<br />
+ (3.139992255 − 0.5)]<br />
Problem 4 is the same example as Problem 3 and<br />
Table 49.9 shows a comparison of the results, i.e.<br />
it compares the results of Tables 49.3 and 49.8.<br />
dy<br />
= y − x may be solved analytically by the integrating<br />
factor method of Chapter 48 with the solution<br />
dx<br />
y = x + 1 + e x . Substituting values of x of 0, 0.1,<br />
0.2, ...give the exact values shown in Table 49.9.<br />
The percentage error for each method for each<br />
value of x is shown in Table 49.10. For example<br />
when x = 0.3,<br />
% error with Euler method<br />
( )<br />
actual − estimated<br />
=<br />
× 100%<br />
actual<br />
( )<br />
2.649858808 − 2.631<br />
=<br />
× 100%<br />
2.649858808<br />
= 0.712%<br />
Table 49.9<br />
Euler method Euler-Cauchy method Exact value<br />
x y y y= x + 1 + e x<br />
1. 0 2 2 2<br />
2. 0.1 2.2 2.205 2.205170918<br />
3. 0.2 2.41 2.421025 2.421402758<br />
4. 0.3 2.631 2.649232625 2.649858808<br />
5. 0.4 2.8641 2.89090205 2.891824698<br />
6. 0.5 3.11051 3.147446765 3.148721271