2.1.592 Problem 608

Solved as second order ode using Kovacic algorithm
Maple
Mathematica
Sympy

Internal problem ID [9764]
Book : Collection of Kovacic problems
Section : section 1
Problem number : 608
Date solved : Wednesday, March 05, 2025 at 07:58:38 AM
CAS classification : [[_2nd_order, _with_linear_symmetries]]

Solve

x2(1+x)yx(3+10x)y+30xy=0

Solved as second order ode using Kovacic algorithm

Time used: 0.294 (sec)

Writing the ode as

(1)x2(1+x)y+(10x23x)y+30xy=0(2)Ay+By+Cy=0

Comparing (1) and (2) shows that

A=x2(1+x)(3)B=10x23xC=30x

Applying the Liouville transformation on the dependent variable gives

z(x)=yeB2Adx

Then (2) becomes

(4)z(x)=rz(x)

Where r is given by

(5)r=st=2AB2BA+B24AC4A2

Substituting the values of A,B,C from (3) in the above and simplifying gives

(6)r=48x+154(x2+x)2

Comparing the above to (5) shows that

s=48x+15t=4(x2+x)2

Therefore eq. (4) becomes

(7)z(x)=(48x+154(x2+x)2)z(x)

Equation (7) is now solved. After finding z(x) then y is found using the inverse transformation

y=z(x)eB2Adx

The first step is to determine the case of Kovacic algorithm this ode belongs to. There are 3 cases depending on the order of poles of r and the order of r at . The following table summarizes these cases.

Case

Allowed pole order for r

Allowed value for O()

1

{0,1,2,4,6,8,}

{,6,4,2,0,2,3,4,5,6,}

2

Need to have at least one pole that is either order 2 or odd order greater than 2. Any other pole order is allowed as long as the above condition is satisfied. Hence the following set of pole orders are all allowed. {1,2},{1,3},{2},{3},{3,4},{1,2,5}.

no condition

3

{1,2}

{2,3,4,5,6,7,}

Table 2.592: Necessary conditions for each Kovacic case

The order of r at is the degree of t minus the degree of s. Therefore

O()=deg(t)deg(s)=41=3

The poles of r in eq. (7) and the order of each pole are determined by solving for the roots of t=4(x2+x)2. There is a pole at x=0 of order 2. There is a pole at x=1 of order 2. Since there is no odd order pole larger than 2 and the order at is 3 then the necessary conditions for case one are met. Since there is a pole of order 2 then necessary conditions for case two are met. Since pole order is not larger than 2 and the order at is 3 then the necessary conditions for case three are met. Therefore

L=[1,2,4,6,12]

Attempting to find a solution using case n=1.

Looking at poles of order 2. The partial fractions decomposition of r is

r=154x2+634(1+x)2+392(1+x)392x

For the pole at x=1 let b be the coefficient of 1(1+x)2 in the partial fractions decomposition of r given above. Therefore b=634. Hence

[r]c=0αc+=12+1+4b=92αc=121+4b=72

For the pole at x=0 let b be the coefficient of 1x2 in the partial fractions decomposition of r given above. Therefore b=154. Hence

[r]c=0αc+=12+1+4b=52αc=121+4b=32

Since the order of r at is 3>2 then

[r]=0α+=0α=1

The following table summarizes the findings so far for poles and for the order of r at where r is

r=48x+154(x2+x)2

pole c location pole order [r]c αc+ αc
1 2 0 92 72
0 2 0 52 32

Order of r at [r] α+ α
3 0 0 1

Now that the all [r]c and its associated αc± have been determined for all the poles in the set Γ and [r] and its associated α± have also been found, the next step is to determine possible non negative integer d from these using

d=αs()cΓαcs(c)

Where s(c) is either + or and s() is the sign of α±. This is done by trial over all set of families s=(s(c))cΓ until such d is found to work in finding candidate ω. Trying α+=0 then

d=α+(αc1+αc2+)=0(1)=1

Since d an integer and d0 then it can be used to find ω using

ω=cΓ(s(c)[r]c+αcs(c)xc)+s()[r]

Substituting the above values in the above results in

ω=(()[r]c1+αc1xc1)+((+)[r]c2+αc2+xc2)+(+)[r]=72(1+x)+52x+(0)=72(1+x)+52x=2x52x(1+x)

Now that ω is determined, the next step is find a corresponding minimal polynomial p(x) of degree d=1 to solve the ode. The polynomial p(x) needs to satisfy the equation

(1A)p+2ωp+(ω+ω2r)p=0

Let

(2A)p(x)=x+a0

Substituting the above in eq. (1A) gives

(0)+2(72(1+x)+52x)(1)+((72(1+x)252x2)+(72(1+x)+52x)2(48x+154(x2+x)2))=05+2a0x(1+x)=0

Solving for the coefficients ai in the above using method of undetermined coefficients gives

{a0=52}

Substituting these coefficients in p(x) in eq. (2A) results in

p(x)=x52

Therefore the first solution to the ode z=rz is

z1(x)=peωdx=(x52)e(72(1+x)+52x)dx=(x52)e7ln(1+x)2+5ln(x)2=(x52)x5/2(1+x)7/2

The first solution to the original ode in y is found from

y1=z1e12BAdx=z1e1210x23xx2(1+x)dx=z1e7ln(1+x)2+3ln(x)2=z1((1+x)7/2x3/2)

Which simplifies to

y1=x552x4

The second solution y2 to the original ode is found using reduction of order

y2=y1eBAdxy12dx

Substituting gives

y2=y1e10x23xx2(1+x)dx(y1)2dx=y1e7ln(1+x)+3ln(x)(y1)2dx=y1(x8235436250(2x5)125x452125x31354625x2277083125x+12ln(x))

Therefore the solution is

y=c1y1+c2y2=c1(x552x4)+c2(x552x4(x8235436250(2x5)125x452125x31354625x2277083125x+12ln(x)))

Will add steps showing solving for IC soon.

Maple. Time used: 0.006 (sec). Leaf size: 65
ode:=x^2*(x+1)*diff(diff(y(x),x),x)-x*(3+10*x)*diff(y(x),x)+30*x*y(x) = 0; 
dsolve(ode,y(x), singsol=all);
 
y=3c2x4(x52)ln(x)+c2x64+(16c15c2)x58+(80c1299c2)x416+5c2x3+5c2x24+c2x4+c240

Maple trace

`Methods for second order ODEs: 
--- Trying classification methods --- 
trying a quadrature 
checking if the LODE has constant coefficients 
checking if the LODE is of Euler type 
trying a symmetry of the form [xi=0, eta=F(x)] 
checking if the LODE is missing y 
-> Trying a Liouvillian solution using Kovacics algorithm 
   A Liouvillian solution exists 
   Reducible group (found an exponential solution) 
   Group is reducible, not completely reducible 
<- Kovacics algorithm successful`
 

Maple step by step

Let’s solvex2(x+1)(d2dx2y(x))x(10x+3)(ddxy(x))+30xy(x)=0Highest derivative means the order of the ODE is2d2dx2y(x)Isolate 2nd derivatived2dx2y(x)=30y(x)x(x+1)+(10x+3)(ddxy(x))x(x+1)Group terms withy(x)on the lhs of the ODE and the rest on the rhs of the ODE; ODE is lineard2dx2y(x)(10x+3)(ddxy(x))x(x+1)+30y(x)x(x+1)=0Check to see ifx0is a regular singular pointDefine functions[P2(x)=10x+3x(x+1),P3(x)=30x(x+1)](x+1)P2(x)is analytic atx=1((x+1)P2(x))|x=1=7(x+1)2P3(x)is analytic atx=1((x+1)2P3(x))|x=1=0x=1is a regular singular pointCheck to see ifx0is a regular singular pointx0=1Multiply by denominatorsx(x+1)(d2dx2y(x))+(10x3)(ddxy(x))+30y(x)=0Change variables usingx=u1so that the regular singular point is atu=0(u2u)(d2du2y(u))+(10u+7)(dduy(u))+30y(u)=0Assume series solution fory(u)y(u)=k=0akuk+rRewrite ODE with series expansionsConvertum(dduy(u))to series expansion form=0..1um(dduy(u))=k=0ak(k+r)uk+r1+mShift index usingk>k+1mum(dduy(u))=k=1+mak+1m(k+1m+r)uk+rConvertum(d2du2y(u))to series expansion form=1..2um(d2du2y(u))=k=0ak(k+r)(k+r1)uk+r2+mShift index usingk>k+2mum(d2du2y(u))=k=2+mak+2m(k+2m+r)(k+1m+r)uk+rRewrite ODE with series expansionsa0r(8+r)u1+r+(k=0(ak+1(k+1+r)(k7+r)+ak(k+r5)(k+r6))uk+r)=0a0cannot be 0 by assumption, giving the indicial equationr(8+r)=0Values of r that satisfy the indicial equationr{0,8}Each term in the series must be 0, giving the recursion relationak+1(k+1+r)(k7+r)+ak(k+r5)(k+r6)=0Recursion relation that defines series solution to ODEak+1=ak(k+r5)(k+r6)(k+1+r)(k7+r)Recursion relation forr=0; series terminates atk=5ak+1=ak(k5)(k6)(k+1)(k7)Apply recursion relation fork=0a1=30a07Apply recursion relation fork=1a2=5a13Express in terms ofa0a2=50a07Apply recursion relation fork=2a3=4a25Express in terms ofa0a3=40a07Apply recursion relation fork=3a4=3a38Express in terms ofa0a4=15a07Apply recursion relation fork=4a5=2a415Express in terms ofa0a5=2a07Terminating series solution of the ODE forr=0. Use reduction of order to find the second linearly independent solutiony(u)=a0(1307u+507u2407u3+157u427u5)Revert the change of variablesu=x+1[y(x)=a0(57x427x5)]Recursion relation forr=8ak+1=ak(k+3)(k+2)(k+9)(k+1)Solution forr=8[y(u)=k=0akuk+8,ak+1=ak(k+3)(k+2)(k+9)(k+1)]Revert the change of variablesu=x+1[y(x)=k=0ak(x+1)k+8,ak+1=ak(k+3)(k+2)(k+9)(k+1)]Combine solutions and rename parameters[y(x)=a0(57x427x5)+(k=0bk(x+1)k+8),bk+1=bk(k+3)(k+2)(k+9)(k+1)]
Mathematica. Time used: 0.485 (sec). Leaf size: 125
ode=x^2*(1+x)*D[y[x],{x,2}]-x*(3+10*x)*D[y[x],x]+30*x*y[x]==0; 
ic={}; 
DSolve[{ode,ic},y[x],x,IncludeSingularSolutions->True]
 
y(x)12(2x5)exp(1x52K[1]2K[1]2+2K[1]dK[1]121x(7K[2]+13K[2])dK[2])(c21x4exp(21K[3]52K[1]2K[1]2+2K[1]dK[1])(52K[3])2dK[3]+c1)
Sympy
from sympy import * 
x = symbols("x") 
y = Function("y") 
ode = Eq(x**2*(x + 1)*Derivative(y(x), (x, 2)) - x*(10*x + 3)*Derivative(y(x), x) + 30*x*y(x),0) 
ics = {} 
dsolve(ode,func=y(x),ics=ics)
 
False