the solution of which is Uk+1 = A(/½)*, where A is an arbitrary constant. Therefore, (2.206) - exp[A(t/½)*], (2.207) Yk = which has the asymptotic expansion Yk = 1+ A(/2)* + 1/2A² ('/½)²k + \/6A°(1/½)³* + - ... (2.208) Rewrite equation (2.203) as follows: Yk+1 = VYk;, (2.209) and let Yk = 1+ uk; (2.210) where u is assumed to be small. Substitution of equation (2.210) into equation (2.209) gives Uk+1 = 1/2uk, (2.211) the solution of which is u = A(½)*, (2.212) where A is an arbitrary constant. Therefore, the first approximation to yk is Yk = 1+ A(/2)*. (2.213) Now let t = A(1/½)*, z(t) = Yk- (2.214) FIRST-ORDER DIFFERENCE EQUATIONS 79 Consequently, equation (2.203) becomes C <(/½t)? = z(t). (2.215) Assuming a solution of the form C 2(t) = 1+t + A2t2 + A3t3 +... (2.216) and substituting this result into equation (2.215) gives (/2t)? = 1+t+ (½A2 + /4)t² + (/¼A3 + ¼A2)t³ + · ... (2.217) Comparison of equations (2.216) and (2.217) gives 1/2A2 + 4 = A2, 14A3 +4A2 = A3 (2.218) %3D %3D and A2 = 2, A3 = 1/6. (2.219) Therefore, z(t) = 1+t+/2t² + 1/6t³ + • · · , which, on using the definition of t in equation (2.214), gives the same asymp- totic expansion as equation (2.208).
the solution of which is Uk+1 = A(/½)*, where A is an arbitrary constant. Therefore, (2.206) - exp[A(t/½)*], (2.207) Yk = which has the asymptotic expansion Yk = 1+ A(/2)* + 1/2A² ('/½)²k + \/6A°(1/½)³* + - ... (2.208) Rewrite equation (2.203) as follows: Yk+1 = VYk;, (2.209) and let Yk = 1+ uk; (2.210) where u is assumed to be small. Substitution of equation (2.210) into equation (2.209) gives Uk+1 = 1/2uk, (2.211) the solution of which is u = A(½)*, (2.212) where A is an arbitrary constant. Therefore, the first approximation to yk is Yk = 1+ A(/2)*. (2.213) Now let t = A(1/½)*, z(t) = Yk- (2.214) FIRST-ORDER DIFFERENCE EQUATIONS 79 Consequently, equation (2.203) becomes C <(/½t)? = z(t). (2.215) Assuming a solution of the form C 2(t) = 1+t + A2t2 + A3t3 +... (2.216) and substituting this result into equation (2.215) gives (/2t)? = 1+t+ (½A2 + /4)t² + (/¼A3 + ¼A2)t³ + · ... (2.217) Comparison of equations (2.216) and (2.217) gives 1/2A2 + 4 = A2, 14A3 +4A2 = A3 (2.218) %3D %3D and A2 = 2, A3 = 1/6. (2.219) Therefore, z(t) = 1+t+/2t² + 1/6t³ + • · · , which, on using the definition of t in equation (2.214), gives the same asymp- totic expansion as equation (2.208).
Advanced Engineering Mathematics
10th Edition
ISBN:9780470458365
Author:Erwin Kreyszig
Publisher:Erwin Kreyszig
Chapter2: Second-order Linear Odes
Section: Chapter Questions
Problem 1RQ
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Contingency Table
A contingency table can be defined as the visual representation of the relationship between two or more categorical variables that can be evaluated and registered. It is a categorical version of the scatterplot, which is used to investigate the linear relationship between two variables. A contingency table is indeed a type of frequency distribution table that displays two variables at the same time.
Binomial Distribution
Binomial is an algebraic expression of the sum or the difference of two terms. Before knowing about binomial distribution, we must know about the binomial theorem.
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