2.14.5 Problem 5

Internal problem ID [13423]
Book : Handbook of exact solutions for ordinary differential equations. By Polyanin and Zaitsev. Second edition
Section : Chapter 1, section 1.2. Riccati Equation. subsection 1.2.7-1. Equations containing arcsine.
Problem number : 5
Date solved : Sunday, January 18, 2026 at 08:05:50 PM
CAS classification : [_Riccati]

2.14.5.1 Solved using first_order_ode_riccati_by_guessing_particular_solution

0.896 (sec)

Entering first order ode riccati guess solver

\begin{align*} y^{\prime }&=\lambda \arcsin \left (x \right )^{n} y^{2}-b \lambda \,x^{m} \arcsin \left (x \right )^{n} y+b m \,x^{m -1} \\ \end{align*}

This is a Riccati ODE. Comparing the above ODE to solve with the Riccati standard form

\[ y' = f_0(x)+ f_1(x)y+f_2(x)y^{2} \]

Shows that

\begin{align*} f_0(x) & =\frac {b \,x^{m} m}{x}\\ f_1(x) & =-x^{m} \arcsin \left (x \right )^{n} b \lambda \\ f_2(x) &=\arcsin \left (x \right )^{n} \lambda \end{align*}

Using trial and error, the following particular solution was found

\[ y_p = b \,x^{m} \]

Since a particular solution is known, then the general solution is given by

\begin{align*} y &= y_p + \frac { \phi (x) }{ c_1 - \int { \phi (x) f_2 \,dx} } \end{align*}

Where

\begin{align*} \phi (x) &= e^{ \int 2 f_2 y_p + f_1 \,dx } \end{align*}

Evaluating the above gives the general solution as

\[ y = b \,x^{m}+\frac {{\mathrm e}^{\int x^{m} \arcsin \left (x \right )^{n} b \lambda d x}}{c_1 -\int {\mathrm e}^{\int x^{m} \arcsin \left (x \right )^{n} b \lambda d x} \arcsin \left (x \right )^{n} \lambda d x} \]

Summary of solutions found

\begin{align*} y &= b \,x^{m}+\frac {{\mathrm e}^{\int x^{m} \arcsin \left (x \right )^{n} b \lambda d x}}{c_1 -\int {\mathrm e}^{\int x^{m} \arcsin \left (x \right )^{n} b \lambda d x} \arcsin \left (x \right )^{n} \lambda d x} \\ \end{align*}

2.14.5.2 ✗ Maple

ode:=diff(y(x),x) = lambda*arcsin(x)^n*y(x)^2-b*lambda*x^m*arcsin(x)^n*y(x)+b*m*x^(m-1); 
dsolve(ode,y(x), singsol=all);
 

\[ \text {No solution found} \]

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 
Looking for potential symmetries 
trying Riccati 
trying Riccati sub-methods: 
   trying Riccati_symmetries 
   trying Riccati to 2nd Order 
   -> Calling odsolve with the ODE, diff(diff(y(x),x),x) = -(b*lambda*x^m* 
arcsin(x)^n*(-x^2+1)^(1/2)*arcsin(x)-n)/(-x^2+1)^(1/2)/arcsin(x)*diff(y(x),x)- 
lambda*arcsin(x)^n*b*m*x^(m-1)*y(x), y(x) 
      *** Sublevel 2 *** 
      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 
      <- unable to find a useful change of variables 
         trying a symmetry of the form [xi=0, eta=F(x)] 
         trying 2nd order exact linear 
         trying symmetries linear in x and y(x) 
         trying to convert to a linear ODE with constant coefficients 
         trying 2nd order, integrating factor of the form mu(x,y) 
         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 
         <- unable to find a useful change of variables 
            trying a symmetry of the form [xi=0, eta=F(x)] 
         trying to convert to an ODE of Bessel type 
   -> Trying a change of variables to reduce to Bernoulli 
   -> Calling odsolve with the ODE, diff(y(x),x)-(lambda*arcsin(x)^n*y(x)^2+y(x 
)-b*lambda*x^m*arcsin(x)^n*y(x)*x+x^2*b*m*x^(m-1))/x, y(x), explicit 
      *** Sublevel 2 *** 
      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 
      Looking for potential symmetries 
      trying Riccati 
      trying Riccati sub-methods: 
         trying Riccati_symmetries 
      trying inverse_Riccati 
      trying 1st order ODE linearizable_by_differentiation 
   -> 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 inverse_Riccati 
trying 1st order ODE linearizable_by_differentiation 
--- Trying Lie symmetry methods, 1st order --- 
   -> Computing symmetries using: way = 4 
   -> Computing symmetries using: way = 2 
   -> Computing symmetries using: way = 6
 

Maple step by step

\[ \begin {array}{lll} & {} & \textrm {Let's solve}\hspace {3pt} \\ {} & {} & \frac {d}{d x}y \left (x \right )=\lambda \arcsin \left (x \right )^{13423} y \left (x \right )^{2}-b \lambda \,x^{m} \arcsin \left (x \right )^{13423} y \left (x \right )+b m \,x^{m -1} \\ \bullet & {} & \textrm {Highest derivative means the order of the ODE is}\hspace {3pt} 1 \\ {} & {} & \frac {d}{d x}y \left (x \right ) \\ \bullet & {} & \textrm {Solve for the highest derivative}\hspace {3pt} \\ {} & {} & \frac {d}{d x}y \left (x \right )=\lambda \arcsin \left (x \right )^{13423} y \left (x \right )^{2}-b \lambda \,x^{m} \arcsin \left (x \right )^{13423} y \left (x \right )+b m \,x^{m -1} \end {array} \]

2.14.5.3 ✗ Mathematica

ode=D[y[x],x]==\[Lambda]*ArcSin[x]^n*y[x]^2-b*\[Lambda]*x^m*ArcSin[x]^n*y[x]+b*m*x^(m-1); 
ic={}; 
DSolve[{ode,ic},y[x],x,IncludeSingularSolutions->True]
 

Not solved

2.14.5.4 ✗ Sympy

from sympy import * 
x = symbols("x") 
b = symbols("b") 
lambda_ = symbols("lambda_") 
m = symbols("m") 
n = symbols("n") 
y = Function("y") 
ode = Eq(b*lambda_*x**m*y(x)*asin(x)**n - b*m*x**(m - 1) - lambda_*y(x)**2*asin(x)**n + Derivative(y(x), x),0) 
ics = {} 
dsolve(ode,func=y(x),ics=ics)
 

Timed Out
 

Python version: 3.12.3 (main, Aug 14 2025, 17:47:21) [GCC 13.3.0] 
Sympy version 1.14.0