Internal
problem
ID
[13588]
Book
:
Handbook
of
exact
solutions
for
ordinary
differential
equations.
By
Polyanin
and
Zaitsev.
Second
edition
Section
:
Chapter
1,
section
1.3.
Abel
Equations
of
the
Second
Kind.
subsection
1.3.3-2.
Problem
number
:
38
Date
solved
:
Friday, December 19, 2025 at 07:41:25 AM
CAS
classification
:
[_rational, [_Abel, `2nd type`, `class B`]]
ode:=y(x)*diff(y(x),x)+1/42*a*(39*x-4)/x^(9/7)*y(x) = -1/42*a^2*(x-1)*(9*x-1)/x^(11/7); 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)] -> Computing symmetries using: way = HINT -> Calling odsolve with the ODE, diff(y(x),x)-6/7/x*y(x)*(13*x-6)/(39*x-4), y(x) *** Sublevel 2 *** Methods for first order ODEs: --- Trying classification methods --- trying a quadrature trying 1st order linear <- 1st order linear successful -> Calling odsolve with the ODE, diff(y(x),x)+1/7*y(x)*(27*x^2+40*x-11)/(x-1 )/x/(9*x-1), y(x) *** Sublevel 2 *** Methods for first order ODEs: --- Trying classification methods --- trying a quadrature trying 1st order linear <- 1st order linear successful -> Computing symmetries using: way = HINT -> Calling odsolve with the ODE, diff(y(x),x), y(x) *** Sublevel 2 *** Methods for first order ODEs: --- Trying classification methods --- trying a quadrature trying 1st order linear <- 1st order linear successful -> Calling odsolve with the ODE, diff(y(x),x)+y(x)/x, y(x) *** Sublevel 2 *** Methods for first order ODEs: --- Trying classification methods --- trying a quadrature trying 1st order linear <- 1st order linear successful -> 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=y[x]*D[y[x],x]+1/42*a*(39*x-4)*x^(-9/7)*y[x]==-1/42*a^2*(x-1)*(9*x-1)*x^(-11/7); ic={}; DSolve[{ode,ic},y[x],x,IncludeSingularSolutions->True]
Timed out
from sympy import * x = symbols("x") a = symbols("a") y = Function("y") ode = Eq(a**2*(x - 1)*(9*x - 1)/(42*x**(11/7)) + a*(39*x - 4)*y(x)/(42*x**(9/7)) + y(x)*Derivative(y(x), x),0) ics = {} dsolve(ode,func=y(x),ics=ics)
Timed Out