2.1.28 Problem 28

Solved as second order linear constant coeff ode
Solved as second order ode using Kovacic algorithm
Maple
Mathematica
Sympy

Internal problem ID [9098]
Book : Second order enumerated odes
Section : section 1
Problem number : 28
Date solved : Friday, April 25, 2025 at 05:41:41 PM
CAS classification : [[_2nd_order, _linear, _nonhomogeneous]]

Solved as second order linear constant coeff ode

Time used: 0.189 (sec)

Solve

y+y+y=x3+x2+x+1

This is second order non-homogeneous ODE. In standard form the ODE is

Ay(x)+By(x)+Cy(x)=f(x)

Where A=1,B=1,C=1,f(x)=x3+x2+x+1. Let the solution be

y=yh+yp

Where yh is the solution to the homogeneous ODE Ay(x)+By(x)+Cy(x)=0, and yp is a particular solution to the non-homogeneous ODE Ay(x)+By(x)+Cy(x)=f(x). yh is the solution to

y+y+y=0

This is second order with constant coefficients homogeneous ODE. In standard form the ODE is

Ay(x)+By(x)+Cy(x)=0

Where in the above A=1,B=1,C=1. Let the solution be y=eλx. Substituting this into the ODE gives

(1)λ2exλ+λexλ+exλ=0

Since exponential function is never zero, then dividing Eq(2) throughout by eλx gives

(2)λ2+λ+1=0

Equation (2) is the characteristic equation of the ODE. Its roots determine the general solution form.Using the quadratic formula

λ1,2=B2A±12AB24AC

Substituting A=1,B=1,C=1 into the above gives

λ1,2=1(2)(1)±1(2)(1)12(4)(1)(1)=12±i32

Hence

λ1=12+i32λ2=12i32

Which simplifies to

λ1=12+i32λ2=12i32

Since roots are complex conjugate of each others, then let the roots be

λ1,2=α±iβ

Where α=12 and β=32. Therefore the final solution, when using Euler relation, can be written as

y=eαx(c1cos(βx)+c2sin(βx))

Which becomes

y=ex2(c1cos(3x2)+c2sin(3x2))

Therefore the homogeneous solution yh is

yh=ex2(c1cos(3x2)+c2sin(3x2))

The particular solution is now found using the method of undetermined coefficients. Looking at the RHS of the ode, which is

x3+x2+x+1

Shows that the corresponding undetermined set of the basis functions (UC_set) for the trial solution is

[{1,x,x2,x3}]

While the set of the basis functions for the homogeneous solution found earlier is

{ex2cos(3x2),ex2sin(3x2)}

Since there is no duplication between the basis function in the UC_set and the basis functions of the homogeneous solution, the trial solution is a linear combination of all the basis in the UC_set.

yp=A4x3+A3x2+A2x+A1

The unknowns {A1,A2,A3,A4} are found by substituting the above trial solution yp into the ODE and comparing coefficients. Substituting the trial solution into the ODE and simplifying gives

A4x3+A3x2+3x2A4+A2x+2xA3+6xA4+A1+A2+2A3=x3+x2+x+1

Solving for the unknowns by comparing coefficients results in

[A1=6,A2=1,A3=2,A4=1]

Substituting the above back in the above trial solution yp, gives the particular solution

yp=x32x2x+6

Therefore the general solution is

y=yh+yp=(ex2(c1cos(3x2)+c2sin(3x2)))+(x32x2x+6)

Will add steps showing solving for IC soon.

Summary of solutions found

y=x32x2x+6+ex2(c1cos(3x2)+c2sin(3x2))
Figure 2.57: Slope field y+y+y=x3+x2+x+1
Solved as second order ode using Kovacic algorithm

Time used: 0.331 (sec)

Solve

y+y+y=x3+x2+x+1

Writing the ode as

(1)y+y+y=0(2)Ay+By+Cy=0

Comparing (1) and (2) shows that

A=1(3)B=1C=1

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=34

Comparing the above to (5) shows that

s=3t=4

Therefore eq. (4) becomes

(7)z(x)=3z(x)4

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 2.13: 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=34 is not a function of x, then there is no need run Kovacic algorithm to obtain a solution for transformed ode z=rz as one solution is

z1(x)=cos(3x2)

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=z1e12BAdx=z1e1211dx=z1ex2=z1(ex2)

Which simplifies to

y1=ex2cos(3x2)

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

y2=y1eBAdxy12dx

Substituting gives

y2=y1e11dx(y1)2dx=y1ex(y1)2dx=y1(23tan(3x2)3)

Therefore the solution is

y=c1y1+c2y2=c1(ex2cos(3x2))+c2(ex2cos(3x2)(23tan(3x2)3))

This is second order nonhomogeneous ODE. Let the solution be

y=yh+yp

Where yh is the solution to the homogeneous ODE Ay(x)+By(x)+Cy(x)=0, and yp is a particular solution to the nonhomogeneous ODE Ay(x)+By(x)+Cy(x)=f(x). yh is the solution to

y+y+y=0

The homogeneous solution is found using the Kovacic algorithm which results in

yh=c1ex2cos(3x2)+2c2ex23sin(3x2)3

The particular solution is now found using the method of undetermined coefficients. Looking at the RHS of the ode, which is

x3+x2+x+1

Shows that the corresponding undetermined set of the basis functions (UC_set) for the trial solution is

[{1,x,x2,x3}]

While the set of the basis functions for the homogeneous solution found earlier is

{ex2cos(3x2),2ex23sin(3x2)3}

Since there is no duplication between the basis function in the UC_set and the basis functions of the homogeneous solution, the trial solution is a linear combination of all the basis in the UC_set.

yp=A4x3+A3x2+A2x+A1

The unknowns {A1,A2,A3,A4} are found by substituting the above trial solution yp into the ODE and comparing coefficients. Substituting the trial solution into the ODE and simplifying gives

A4x3+A3x2+3x2A4+A2x+2xA3+6xA4+A1+A2+2A3=x3+x2+x+1

Solving for the unknowns by comparing coefficients results in

[A1=6,A2=1,A3=2,A4=1]

Substituting the above back in the above trial solution yp, gives the particular solution

yp=x32x2x+6

Therefore the general solution is

y=yh+yp=(c1ex2cos(3x2)+2c2ex23sin(3x2)3)+(x32x2x+6)

Will add steps showing solving for IC soon.

Summary of solutions found

y=c1ex2cos(3x2)+2c2ex23sin(3x2)3+x32x2x+6
Figure 2.58: Slope field y+y+y=x3+x2+x+1
Maple. Time used: 0.002 (sec). Leaf size: 43
ode:=diff(diff(y(x),x),x)+diff(y(x),x)+y(x) = x^3+x^2+x+1; 
dsolve(ode,y(x), singsol=all);
 
y=ex2sin(3x2)c2+ex2cos(3x2)c1+x32x2x+6

Maple trace

Methods for second order ODEs: 
--- Trying classification methods --- 
trying a quadrature 
trying high order exact linear fully integrable 
trying differential order: 2; linear nonhomogeneous with symmetry [0,1] 
trying a double symmetry of the form [xi=0, eta=F(x)] 
-> Try solving first the homogeneous part of the ODE 
   checking if the LODE has constant coefficients 
   <- constant coefficients successful 
<- solving first the homogeneous part of the ODE successful
 

Maple step by step

Let’s solveddxddxy(x)+ddxy(x)+y(x)=x3+x2+x+1Highest derivative means the order of the ODE is2ddxddxy(x)Characteristic polynomial of homogeneous ODEr2+r+1=0Use quadratic formula to solve forrr=(1)±(3)2Roots of the characteristic polynomialr=(12I32,12+I32)1st solution of the homogeneous ODEy1(x)=ex2cos(3x2)2nd solution of the homogeneous ODEy2(x)=ex2sin(3x2)General solution of the ODEy(x)=C1y1(x)+C2y2(x)+yp(x)Substitute in solutions of the homogeneous ODEy(x)=C1ex2cos(3x2)+C2ex2sin(3x2)+yp(x)Find a particular solutionyp(x)of the ODEUse variation of parameters to findypheref(x)is the forcing function[yp(x)=y1(x)y2(x)f(x)W(y1(x),y2(x))dx+y2(x)y1(x)f(x)W(y1(x),y2(x))dx,f(x)=x3+x2+x+1]Wronskian of solutions of the homogeneous equationW(y1(x),y2(x))=[ex2cos(3x2)ex2sin(3x2)ex2cos(3x2)2ex23sin(3x2)2ex2sin(3x2)2+ex23cos(3x2)2]Compute WronskianW(y1(x),y2(x))=3ex2Substitute functions into equation foryp(x)yp(x)=23ex2(ex2(x+1)(x2+1)sin(3x2)dxcos(3x2)ex2(x+1)(x2+1)cos(3x2)dxsin(3x2))3Compute integralsyp(x)=x32x2x+6Substitute particular solution into general solution to ODEy(x)=C1ex2cos(3x2)+C2ex2sin(3x2)+x32x2x+6
Mathematica. Time used: 0.022 (sec). Leaf size: 60
ode=D[y[x],{x,2}]+D[y[x],x]+y[x]==1+x+x^2+x^3; 
ic={}; 
DSolve[{ode,ic},y[x],x,IncludeSingularSolutions->True]
 
y(x)x32x2x+c2ex/2cos(3x2)+c1ex/2sin(3x2)+6
Sympy. Time used: 0.190 (sec). Leaf size: 42
from sympy import * 
x = symbols("x") 
y = Function("y") 
ode = Eq(-x**3 - x**2 - x + y(x) + Derivative(y(x), x) + Derivative(y(x), (x, 2)) - 1,0) 
ics = {} 
dsolve(ode,func=y(x),ics=ics)
 
y(x)=x32x2x+(C1sin(3x2)+C2cos(3x2))ex2+6