Internal
problem
ID
[13930]
Book
:
Handbook
of
exact
solutions
for
ordinary
differential
equations.
By
Polyanin
and
Zaitsev.
Second
edition
Section
:
Chapter
2,
Second-Order
Differential
Equations.
section
2.1.3-1.
Equations
with
exponential
functions
Problem
number
:
6
Date
solved
:
Friday, December 19, 2025 at 08:50:23 PM
CAS
classification
:
[[_2nd_order, _with_linear_symmetries]]
ode:=diff(diff(y(x),x),x)+(a*exp(4*lambda*x)+b*exp(3*lambda*x)+c*exp(2*lambda*x)-1/4*lambda^2)*y(x) = 0; dsolve(ode,y(x), singsol=all);
Maple trace
Methods for second order ODEs: --- Trying classification methods --- trying a symmetry of the form [xi=0, eta=F(x)] checking if the LODE is missing y -> Heun: Equivalence to the GHE or one of its 4 confluent cases under a power \ @ Moebius -> trying a solution of the form r0(x) * Y + r1(x) * Y where Y = exp(int(r(x),\ dx)) * 2F1([a1, a2], [b1], f) -> Trying changes of variables to rationalize or make the ODE simpler 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 <- No Liouvillian solutions exists -> Trying a solution in terms of special functions: -> Bessel -> elliptic -> Legendre -> Whittaker -> hyper3: Equivalence to 1F1 under a power @ Moebius -> hypergeometric -> heuristic approach -> hyper3: Equivalence to 2F1, 1F1 or 0F1 under a power @ Moebius <- hyper3 successful: indirect Equivalence to 0F1 under ``^ @ Moebius`\ ` is resolved <- hypergeometric successful <- special function solution successful Change of variables used: [x = ln(t)/lambda] Linear ODE actually solved: (4*a*t^4+4*b*t^3+4*c*t^2-lambda^2)*u(t)+4*lambda^2*t*diff(u(t),t)+4*lambd\ a^2*t^2*diff(diff(u(t),t),t) = 0 <- change of variables successful
ode=D[y[x],{x,2}]+(a*Exp[4*\[Lambda]*x]+b*Exp[3*\[Lambda]*x]+c*Exp[2*\[Lambda]*x]-1/4*\[Lambda]^2)*y[x]==0; ic={}; DSolve[{ode,ic},y[x],x,IncludeSingularSolutions->True]
from sympy import * x = symbols("x") a = symbols("a") b = symbols("b") c = symbols("c") lambda_ = symbols("lambda_") y = Function("y") ode = Eq((a*exp(4*lambda_*x) + b*exp(3*lambda_*x) + c*exp(2*lambda_*x) - lambda_**2/4)*y(x) + Derivative(y(x), (x, 2)),0) ics = {} dsolve(ode,func=y(x),ics=ics)
False