2.1.618 Problem 634

Solved as second order ode using Kovacic algorithm
Maple
Mathematica
Sympy

Internal problem ID [9790]
Book : Collection of Kovacic problems
Section : section 1
Problem number : 634
Date solved : Sunday, March 30, 2025 at 02:46:42 PM
CAS classification : [[_2nd_order, _with_linear_symmetries]]

Solved as second order ode using Kovacic algorithm

Time used: 0.186 (sec)

Writing the ode as

(1)t2y+ty+(t214)y=0(2)Ay+By+Cy=0

Comparing (1) and (2) shows that

A=t2(3)B=tC=t214

Applying the Liouville transformation on the dependent variable gives

z(t)=yeB2Adt

Then (2) becomes

(4)z(t)=rz(t)

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=11

Comparing the above to (5) shows that

s=1t=1

Therefore eq. (4) becomes

(7)z(t)=z(t)

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

y=z(t)eB2Adt

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 2.618: 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)=00=0

There are no poles in r. Therefore the set of poles Γ is empty. Since there is no odd order pole larger than 2 and the order at is 0 then the necessary conditions for case one are met. Therefore

L=[1]

Since r=1 is not a function of t, then there is no need run Kovacic algorithm to obtain a solution for transformed ode z=rz as one solution is

z1(t)=cos(t)

Using the above, the solution for the original ode can now be found. The first solution to the original ode in y is found from

y1=z1e12BAdt=z1e12tt2dt=z1eln(t)2=z1(1t)

Which simplifies to

y1=cos(t)t

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

y2=y1eBAdty12dt

Substituting gives

y2=y1ett2dt(y1)2dt=y1eln(t)(y1)2dt=y1(tan(t))

Therefore the solution is

y=c1y1+c2y2=c1(cos(t)t)+c2(cos(t)t(tan(t)))

Will add steps showing solving for IC soon.

Maple. Time used: 0.012 (sec). Leaf size: 17
ode:=t^2*diff(diff(y(t),t),t)+diff(y(t),t)*t+(t^2-1/4)*y(t) = 0; 
dsolve(ode,y(t), singsol=all);
 
y=c1sin(t)+c2cos(t)t

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 solvet2(ddtddty(t))+t(ddty(t))+(t214)y(t)=0Highest derivative means the order of the ODE is2ddtddty(t)Isolate 2nd derivativeddtddty(t)=(4t21)y(t)4t2ddty(t)tGroup terms withy(t)on the lhs of the ODE and the rest on the rhs of the ODE; ODE is linearddtddty(t)+ddty(t)t+(4t21)y(t)4t2=0Check to see ift0=0is a regular singular pointDefine functions[P2(t)=1t,P3(t)=4t214t2]tP2(t)is analytic att=0(tP2(t))|t=0=1t2P3(t)is analytic att=0(t2P3(t))|t=0=14t=0is a regular singular pointCheck to see ift0=0is a regular singular pointt0=0Multiply by denominators4t2(ddtddty(t))+4t(ddty(t))+(4t21)y(t)=0Assume series solution fory(t)y(t)=k=0aktk+rRewrite ODE with series expansionsConverttmy(t)to series expansion form=0..2tmy(t)=k=0aktk+r+mShift index usingk>kmtmy(t)=k=makmtk+rConvertt(ddty(t))to series expansiont(ddty(t))=k=0ak(k+r)tk+rConvertt2(ddtddty(t))to series expansiont2(ddtddty(t))=k=0ak(k+r)(k+r1)tk+rRewrite ODE with series expansionsa0(1+2r)(1+2r)tr+a1(3+2r)(1+2r)t1+r+(k=2(ak(2k+2r+1)(2k+2r1)+4ak2)tk+r)=0a0cannot be 0 by assumption, giving the indicial equation(1+2r)(1+2r)=0Values of r that satisfy the indicial equationr{12,12}Each term must be 0a1(3+2r)(1+2r)=0Solve for the dependent coefficient(s)a1=0Each term in the series must be 0, giving the recursion relationak(4k2+8kr+4r21)+4ak2=0Shift index usingk>k+2ak+2(4(k+2)2+8(k+2)r+4r21)+4ak=0Recursion relation that defines series solution to ODEak+2=4ak4k2+8kr+4r2+16k+16r+15Recursion relation forr=12ak+2=4ak4k2+12k+8Solution forr=12[y(t)=k=0aktk12,ak+2=4ak4k2+12k+8,a1=0]Recursion relation forr=12ak+2=4ak4k2+20k+24Solution forr=12[y(t)=k=0aktk+12,ak+2=4ak4k2+20k+24,a1=0]Combine solutions and rename parameters[y(t)=(k=0aktk12)+(k=0bktk+12),ak+2=4ak4k2+12k+8,a1=0,bk+2=4bk4k2+20k+24,b1=0]
Mathematica. Time used: 0.034 (sec). Leaf size: 39
ode=t^2*D[y[t],{t,2}]+t*D[y[t],t]+(t^2-1/4)*y[t]==0; 
ic={}; 
DSolve[{ode,ic},y[t],t,IncludeSingularSolutions->True]
 
y(t)eit(2c1ic2e2it)2t
Sympy. Time used: 0.248 (sec). Leaf size: 15
from sympy import * 
t = symbols("t") 
y = Function("y") 
ode = Eq(t**2*Derivative(y(t), (t, 2)) + t*Derivative(y(t), t) + (t**2 - 1/4)*y(t),0) 
ics = {} 
dsolve(ode,func=y(t),ics=ics)
 
y(t)=C1J12(t)+C2Y12(t)