Internal
problem
ID
[13644]
Book
:
Handbook
of
exact
solutions
for
ordinary
differential
equations.
By
Polyanin
and
Zaitsev.
Second
edition
Section
:
Chapter
1,
section
1.4.
Equations
Containing
Polynomial
Functions
of
y.
subsection
1.4.1-2
Abel
equations
of
the
first
kind.
Problem
number
:
8
Date
solved
:
Friday, December 19, 2025 at 09:53:14 AM
CAS
classification
:
[_Abel]
ode:=diff(y(x),x) = a*x*y(x)^3+2*a*b*x^2*y(x)^2-b-2*a*b^3*x^4; dsolve(ode,y(x), singsol=all);
Maple trace
Methods for first order ODEs: --- Trying classification methods --- trying a quadrature trying 1st order linear trying Bernoulli trying separable trying inverse linear trying homogeneous types: trying Chini differential order: 1; looking for linear symmetries trying exact trying Abel Looking for potential symmetries Looking for potential symmetries Looking for potential symmetries trying inverse_Riccati trying an equivalence to an Abel ODE differential order: 1; trying a linearization to 2nd order --- trying a change of variables {x -> y(x), y(x) -> x} differential order: 1; trying a linearization to 2nd order trying 1st order ODE linearizable_by_differentiation --- Trying Lie symmetry methods, 1st order --- -> Computing symmetries using: way = 3 -> Computing symmetries using: way = 4 -> Computing symmetries using: way = 2 trying symmetry patterns for 1st order ODEs -> trying a symmetry pattern of the form [F(x)*G(y), 0] -> trying a symmetry pattern of the form [0, F(x)*G(y)] -> trying symmetry patterns of the forms [F(x),G(y)] and [G(y),F(x)] -> trying a symmetry pattern of the form [F(x),G(x)] -> trying a symmetry pattern of the form [F(y),G(y)] -> trying a symmetry pattern of the form [F(x)+G(y), 0] -> trying a symmetry pattern of the form [0, F(x)+G(y)] -> trying a symmetry pattern of the form [F(x),G(x)*y+H(x)] -> trying a symmetry pattern of conformal type
Maple step by step
ode=D[y[x],x]==a*x*y[x]^3+2*a*b*x^2*y[x]^2-b-2*a*b^3*x^4; ic={}; DSolve[{ode,ic},y[x],x,IncludeSingularSolutions->True]
Not solved
from sympy import * x = symbols("x") a = symbols("a") b = symbols("b") y = Function("y") ode = Eq(2*a*b**3*x**4 - 2*a*b*x**2*y(x)**2 - a*x*y(x)**3 + b + Derivative(y(x), x),0) ics = {} dsolve(ode,func=y(x),ics=ics)
RecursionError : maximum recursion depth exceeded
Python version: 3.12.3 (main, Aug 14 2025, 17:47:21) [GCC 13.3.0] Sympy version 1.14.0
classify_ode(ode,func=y(x)) ('1st_power_series', 'lie_group')