2.1.90 Problem 92

Solved as second order ode using Kovacic algorithm
Maple
Mathematica
Sympy

Internal problem ID [9262]
Book : Collection of Kovacic problems
Section : section 1
Problem number : 92
Date solved : Sunday, March 30, 2025 at 02:30:57 PM
CAS classification : [[_2nd_order, _with_linear_symmetries]]

Solved as second order ode using Kovacic algorithm

Time used: 0.196 (sec)

Writing the ode as

(1)2x2yxy+(12x)y=0(2)Ay+By+Cy=0

Comparing (1) and (2) shows that

A=2x2(3)B=xC=12x

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=3+16x16x2

Comparing the above to (5) shows that

s=3+16xt=16x2

Therefore eq. (4) becomes

(7)z(x)=(3+16x16x2)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 2.90: 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)=21=1

The poles of r in eq. (7) and the order of each pole are determined by solving for the roots of t=16x2. There is a pole at x=0 of order 2. Since there is a pole of order 2 then necessary conditions for case two are met. Therefore

L=[2]

Attempting to find a solution using case n=2.

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

r=1x316x2

For the pole at x=0 let b be the coefficient of 1x2 in the partial fractions decomposition of r given above. Therefore b=316. Hence

Ec={2,2+21+4b,221+4b}={1,2,3}

Since the order of r at is 1<2 then

E={1}

The following table summarizes the findings so far for poles and for the order of r at for case 2 of Kovacic algorithm.

pole c location pole order Ec
0 2 {1,2,3}

Order of r at E
1 {1}

Using the family {e1,e2,,e} given by

e1=1,e=1

Gives a non negative integer d (the degree of the polynomial p(x)), which is generated using

d=12(ecΓec)=12(1(1))=0

We now form the following rational function

θ=12cΓecxc=12(1(x(0)))=12x

Now we search for a monic polynomial p(x) of degree d=0 such that

(1A)p+3θp+(3θ2+3θ4r)p+(θ+3θθ+θ34rθ2r)p=0

Since d=0, then letting

(2A)p=1

Substituting p and θ into Eq. (1A) gives

0=0

And solving for p gives

p=1

Now that p(x) is found let

ϕ=θ+pp=12x

Let ω be the solution of

ω2ϕω+(12ϕ+12ϕ2r)=0

Substituting the values for ϕ and r into the above equation gives

w2w2x+116x16x2=0

Solving for ω gives

ω=1+4x4x

Therefore the first solution to the ode z=rz is

z1(x)=eωdx=e1+4x4xdx=x1/4e2x

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

y1=z1e12BAdx=z1e12x2x2dx=z1eln(x)4=z1(x1/4)

Which simplifies to

y1=xe2x

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

y2=y1eBAdxy12dx

Substituting gives

y2=y1ex2x2dx(y1)2dx=y1eln(x)2(y1)2dx=y1(e4x2)

Therefore the solution is

y=c1y1+c2y2=c1(xe2x)+c2(xe2x(e4x2))

Will add steps showing solving for IC soon.

Maple. Time used: 0.004 (sec). Leaf size: 25
ode:=2*x^2*diff(diff(y(x),x),x)-diff(y(x),x)*x+(-2*x+1)*y(x) = 0; 
dsolve(ode,y(x), singsol=all);
 
y=x(c1sinh(2x)+c2cosh(2x))

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 
   Group is reducible or imprimitive 
<- Kovacics algorithm successful
 

Maple step by step

Let’s solve2x2(ddxddxy(x))x(ddxy(x))+(12x)y(x)=0Highest derivative means the order of the ODE is2ddxddxy(x)Isolate 2nd derivativeddxddxy(x)=(1+2x)y(x)2x2+ddxy(x)2xGroup terms withy(x)on the lhs of the ODE and the rest on the rhs of the ODE; ODE is linearddxddxy(x)ddxy(x)2x(1+2x)y(x)2x2=0Check to see ifx0=0is a regular singular pointDefine functions[P2(x)=12x,P3(x)=1+2x2x2]xP2(x)is analytic atx=0(xP2(x))|x=0=12x2P3(x)is analytic atx=0(x2P3(x))|x=0=12x=0is a regular singular pointCheck to see ifx0=0is a regular singular pointx0=0Multiply by denominators2x2(ddxddxy(x))x(ddxy(x))+(12x)y(x)=0Assume series solution fory(x)y(x)=k=0akxk+rRewrite ODE with series expansionsConvertxmy(x)to series expansion form=0..1xmy(x)=k=0akxk+r+mShift index usingk>kmxmy(x)=k=makmxk+rConvertx(ddxy(x))to series expansionx(ddxy(x))=k=0ak(k+r)xk+rConvertx2(ddxddxy(x))to series expansionx2(ddxddxy(x))=k=0ak(k+r)(k+r1)xk+rRewrite ODE with series expansionsa0(1+2r)(1+r)xr+(k=1(ak(2k+2r1)(k+r1)2ak1)xk+r)=0a0cannot be 0 by assumption, giving the indicial equation(1+2r)(1+r)=0Values of r that satisfy the indicial equationr{1,12}Each term in the series must be 0, giving the recursion relation2(k+r12)(k+r1)ak2ak1=0Shift index usingk>k+12(k+12+r)(k+r)ak+12ak=0Recursion relation that defines series solution to ODEak+1=2ak(2k+1+2r)(k+r)Recursion relation forr=1ak+1=2ak(2k+3)(k+1)Solution forr=1[y(x)=k=0akxk+1,ak+1=2ak(2k+3)(k+1)]Recursion relation forr=12ak+1=2ak(2k+2)(k+12)Solution forr=12[y(x)=k=0akxk+12,ak+1=2ak(2k+2)(k+12)]Combine solutions and rename parameters[y(x)=(k=0akxk+1)+(k=0bkxk+12),ak+1=2ak(2k+3)(k+1),bk+1=2bk(2k+2)(k+12)]
Mathematica. Time used: 0.053 (sec). Leaf size: 41
ode=2*x^2*D[y[x],{x,2}]-x*D[y[x],x]+(1-2*x)*y[x]==0; 
ic={}; 
DSolve[{ode,ic},y[x],x,IncludeSingularSolutions->True]
 
y(x)12e2xx(2c1e4xc2)
Sympy. Time used: 0.200 (sec). Leaf size: 34
from sympy import * 
x = symbols("x") 
y = Function("y") 
ode = Eq(2*x**2*Derivative(y(x), (x, 2)) - x*Derivative(y(x), x) + (1 - 2*x)*y(x),0) 
ics = {} 
dsolve(ode,func=y(x),ics=ics)
 
y(x)=x34(C1J12(2ix)+C2Y12(2ix))