2.5.9 Problem 9

2.5.9.1 Solved using first_order_ode_riccati
2.5.9.2 Solved using first_order_ode_riccati_by_guessing_particular_solution
2.5.9.3 Maple
2.5.9.4 Mathematica
2.5.9.5 Sympy

Internal problem ID [13328]
Book : Handbook of exact solutions for ordinary differential equations. By Polyanin and Zaitsev. Second edition
Section : Chapter 1, section 1.2. Riccati Equation. subsection 1.2.4-1. Equations with hyperbolic sine and cosine
Problem number : 9
Date solved : Wednesday, December 31, 2025 at 01:25:47 PM
CAS classification : [_Riccati]

2.5.9.1 Solved using first_order_ode_riccati

18.420 (sec)

Entering first order ode riccati solver

\begin{align*} y^{\prime }&=y^{2}+a \cosh \left (\beta x \right ) y+a b \cosh \left (\beta x \right )-b^{2} \\ \end{align*}
In canonical form the ODE is
\begin{align*} y' &= F(x,y)\\ &= y^{2}+a \cosh \left (\beta x \right ) y+a b \cosh \left (\beta x \right )-b^{2} \end{align*}

This is a Riccati ODE. Comparing the ODE to solve

\[ y' = \textit {the\_rhs} \]
With Riccati ODE standard form
\[ y' = f_0(x)+ f_1(x)y+f_2(x)y^{2} \]
Shows that \(f_0(x)=a b \cosh \left (\beta x \right )-b^{2}\), \(f_1(x)=\cosh \left (\beta x \right ) a\) and \(f_2(x)=1\). Let
\begin{align*} y &= \frac {-u'}{f_2 u} \\ &= \frac {-u'}{u} \tag {1} \end{align*}

Using the above substitution in the given ODE results (after some simplification) in a second order ODE to solve for \(u(x)\) which is

\begin{align*} f_2 u''(x) -\left ( f_2' + f_1 f_2 \right ) u'(x) + f_2^2 f_0 u(x) &= 0 \tag {2} \end{align*}

But

\begin{align*} f_2' &=0\\ f_1 f_2 &=\cosh \left (\beta x \right ) a\\ f_2^2 f_0 &=a b \cosh \left (\beta x \right )-b^{2} \end{align*}

Substituting the above terms back in equation (2) gives

\[ u^{\prime \prime }\left (x \right )-\cosh \left (\beta x \right ) a u^{\prime }\left (x \right )+\left (a b \cosh \left (\beta x \right )-b^{2}\right ) u \left (x \right ) = 0 \]
Unable to solve. Will ask Maple to solve this ode now.

The solution for \(u \left (x \right )\) is

\begin{equation} \tag{3} u \left (x \right ) = c_1 \operatorname {HeunD}\left (-\frac {2 a}{\beta }, \frac {4 b \left (a -b \right )}{\beta ^{2}}, \frac {4 a}{\beta }, \frac {4 b \left (a +b \right )}{\beta ^{2}}, \coth \left (\frac {\beta x}{2}\right )\right )+c_2 \operatorname {HeunD}\left (\frac {2 a}{\beta }, \frac {4 b \left (a -b \right )}{\beta ^{2}}, \frac {4 a}{\beta }, \frac {4 b \left (a +b \right )}{\beta ^{2}}, \coth \left (\frac {\beta x}{2}\right )\right ) {\mathrm e}^{\frac {2 a \sinh \left (\frac {\beta x}{2}\right ) \cosh \left (\frac {\beta x}{2}\right )}{\beta }} \end{equation}
Taking derivative gives
\begin{equation} \tag{4} u^{\prime }\left (x \right ) = \frac {c_1 \beta \left (1-\coth \left (\frac {\beta x}{2}\right )^{2}\right ) \operatorname {HeunDPrime}\left (-\frac {2 a}{\beta }, \frac {4 b \left (a -b \right )}{\beta ^{2}}, \frac {4 a}{\beta }, \frac {4 b \left (a +b \right )}{\beta ^{2}}, \coth \left (\frac {\beta x}{2}\right )\right )}{2}+\frac {c_2 \beta \left (1-\coth \left (\frac {\beta x}{2}\right )^{2}\right ) \operatorname {HeunDPrime}\left (\frac {2 a}{\beta }, \frac {4 b \left (a -b \right )}{\beta ^{2}}, \frac {4 a}{\beta }, \frac {4 b \left (a +b \right )}{\beta ^{2}}, \coth \left (\frac {\beta x}{2}\right )\right ) {\mathrm e}^{\frac {2 a \sinh \left (\frac {\beta x}{2}\right ) \cosh \left (\frac {\beta x}{2}\right )}{\beta }}}{2}+c_2 \operatorname {HeunD}\left (\frac {2 a}{\beta }, \frac {4 b \left (a -b \right )}{\beta ^{2}}, \frac {4 a}{\beta }, \frac {4 b \left (a +b \right )}{\beta ^{2}}, \coth \left (\frac {\beta x}{2}\right )\right ) \left (a \cosh \left (\frac {\beta x}{2}\right )^{2}+a \sinh \left (\frac {\beta x}{2}\right )^{2}\right ) {\mathrm e}^{\frac {2 a \sinh \left (\frac {\beta x}{2}\right ) \cosh \left (\frac {\beta x}{2}\right )}{\beta }} \end{equation}
Substituting equations (3,4) into (1) results in
\begin{align*} y &= \frac {-u'}{f_2 u} \\ y &= \frac {-u'}{u} \\ y &= -\frac {\frac {c_1 \beta \left (1-\coth \left (\frac {\beta x}{2}\right )^{2}\right ) \operatorname {HeunDPrime}\left (-\frac {2 a}{\beta }, \frac {4 b \left (a -b \right )}{\beta ^{2}}, \frac {4 a}{\beta }, \frac {4 b \left (a +b \right )}{\beta ^{2}}, \coth \left (\frac {\beta x}{2}\right )\right )}{2}+\frac {c_2 \beta \left (1-\coth \left (\frac {\beta x}{2}\right )^{2}\right ) \operatorname {HeunDPrime}\left (\frac {2 a}{\beta }, \frac {4 b \left (a -b \right )}{\beta ^{2}}, \frac {4 a}{\beta }, \frac {4 b \left (a +b \right )}{\beta ^{2}}, \coth \left (\frac {\beta x}{2}\right )\right ) {\mathrm e}^{\frac {2 a \sinh \left (\frac {\beta x}{2}\right ) \cosh \left (\frac {\beta x}{2}\right )}{\beta }}}{2}+c_2 \operatorname {HeunD}\left (\frac {2 a}{\beta }, \frac {4 b \left (a -b \right )}{\beta ^{2}}, \frac {4 a}{\beta }, \frac {4 b \left (a +b \right )}{\beta ^{2}}, \coth \left (\frac {\beta x}{2}\right )\right ) \left (a \cosh \left (\frac {\beta x}{2}\right )^{2}+a \sinh \left (\frac {\beta x}{2}\right )^{2}\right ) {\mathrm e}^{\frac {2 a \sinh \left (\frac {\beta x}{2}\right ) \cosh \left (\frac {\beta x}{2}\right )}{\beta }}}{c_1 \operatorname {HeunD}\left (-\frac {2 a}{\beta }, \frac {4 b \left (a -b \right )}{\beta ^{2}}, \frac {4 a}{\beta }, \frac {4 b \left (a +b \right )}{\beta ^{2}}, \coth \left (\frac {\beta x}{2}\right )\right )+c_2 \operatorname {HeunD}\left (\frac {2 a}{\beta }, \frac {4 b \left (a -b \right )}{\beta ^{2}}, \frac {4 a}{\beta }, \frac {4 b \left (a +b \right )}{\beta ^{2}}, \coth \left (\frac {\beta x}{2}\right )\right ) {\mathrm e}^{\frac {2 a \sinh \left (\frac {\beta x}{2}\right ) \cosh \left (\frac {\beta x}{2}\right )}{\beta }}} \\ \end{align*}
Doing change of constants, the above solution becomes
\[ y = -\frac {\frac {\beta \left (1-\coth \left (\frac {\beta x}{2}\right )^{2}\right ) \operatorname {HeunDPrime}\left (-\frac {2 a}{\beta }, \frac {4 b \left (a -b \right )}{\beta ^{2}}, \frac {4 a}{\beta }, \frac {4 b \left (a +b \right )}{\beta ^{2}}, \coth \left (\frac {\beta x}{2}\right )\right )}{2}+\frac {c_3 \beta \left (1-\coth \left (\frac {\beta x}{2}\right )^{2}\right ) \operatorname {HeunDPrime}\left (\frac {2 a}{\beta }, \frac {4 b \left (a -b \right )}{\beta ^{2}}, \frac {4 a}{\beta }, \frac {4 b \left (a +b \right )}{\beta ^{2}}, \coth \left (\frac {\beta x}{2}\right )\right ) {\mathrm e}^{\frac {2 a \sinh \left (\frac {\beta x}{2}\right ) \cosh \left (\frac {\beta x}{2}\right )}{\beta }}}{2}+c_3 \operatorname {HeunD}\left (\frac {2 a}{\beta }, \frac {4 b \left (a -b \right )}{\beta ^{2}}, \frac {4 a}{\beta }, \frac {4 b \left (a +b \right )}{\beta ^{2}}, \coth \left (\frac {\beta x}{2}\right )\right ) \left (a \cosh \left (\frac {\beta x}{2}\right )^{2}+a \sinh \left (\frac {\beta x}{2}\right )^{2}\right ) {\mathrm e}^{\frac {2 a \sinh \left (\frac {\beta x}{2}\right ) \cosh \left (\frac {\beta x}{2}\right )}{\beta }}}{\operatorname {HeunD}\left (-\frac {2 a}{\beta }, \frac {4 b \left (a -b \right )}{\beta ^{2}}, \frac {4 a}{\beta }, \frac {4 b \left (a +b \right )}{\beta ^{2}}, \coth \left (\frac {\beta x}{2}\right )\right )+c_3 \operatorname {HeunD}\left (\frac {2 a}{\beta }, \frac {4 b \left (a -b \right )}{\beta ^{2}}, \frac {4 a}{\beta }, \frac {4 b \left (a +b \right )}{\beta ^{2}}, \coth \left (\frac {\beta x}{2}\right )\right ) {\mathrm e}^{\frac {2 a \sinh \left (\frac {\beta x}{2}\right ) \cosh \left (\frac {\beta x}{2}\right )}{\beta }}} \]
Simplifying the above gives
\begin{align*} y &= \frac {-2 \,{\mathrm e}^{\frac {a \sinh \left (\beta x \right )}{\beta }} \operatorname {HeunD}\left (\frac {2 a}{\beta }, \frac {4 b \left (a -b \right )}{\beta ^{2}}, \frac {4 a}{\beta }, \frac {4 b \left (a +b \right )}{\beta ^{2}}, \coth \left (\frac {\beta x}{2}\right )\right ) c_3 a \cosh \left (\beta x \right )+\beta \operatorname {csch}\left (\frac {\beta x}{2}\right )^{2} \left ({\mathrm e}^{\frac {a \sinh \left (\beta x \right )}{\beta }} \operatorname {HeunDPrime}\left (\frac {2 a}{\beta }, \frac {4 b \left (a -b \right )}{\beta ^{2}}, \frac {4 a}{\beta }, \frac {4 b \left (a +b \right )}{\beta ^{2}}, \coth \left (\frac {\beta x}{2}\right )\right ) c_3 +\operatorname {HeunDPrime}\left (-\frac {2 a}{\beta }, \frac {4 b \left (a -b \right )}{\beta ^{2}}, \frac {4 a}{\beta }, \frac {4 b \left (a +b \right )}{\beta ^{2}}, \coth \left (\frac {\beta x}{2}\right )\right )\right )}{2 c_3 \operatorname {HeunD}\left (\frac {2 a}{\beta }, \frac {4 b \left (a -b \right )}{\beta ^{2}}, \frac {4 a}{\beta }, \frac {4 b \left (a +b \right )}{\beta ^{2}}, \coth \left (\frac {\beta x}{2}\right )\right ) {\mathrm e}^{\frac {a \sinh \left (\beta x \right )}{\beta }}+2 \operatorname {HeunD}\left (-\frac {2 a}{\beta }, \frac {4 b \left (a -b \right )}{\beta ^{2}}, \frac {4 a}{\beta }, \frac {4 b \left (a +b \right )}{\beta ^{2}}, \coth \left (\frac {\beta x}{2}\right )\right )} \\ \end{align*}

Summary of solutions found

\begin{align*} y &= \frac {-2 \,{\mathrm e}^{\frac {a \sinh \left (\beta x \right )}{\beta }} \operatorname {HeunD}\left (\frac {2 a}{\beta }, \frac {4 b \left (a -b \right )}{\beta ^{2}}, \frac {4 a}{\beta }, \frac {4 b \left (a +b \right )}{\beta ^{2}}, \coth \left (\frac {\beta x}{2}\right )\right ) c_3 a \cosh \left (\beta x \right )+\beta \operatorname {csch}\left (\frac {\beta x}{2}\right )^{2} \left ({\mathrm e}^{\frac {a \sinh \left (\beta x \right )}{\beta }} \operatorname {HeunDPrime}\left (\frac {2 a}{\beta }, \frac {4 b \left (a -b \right )}{\beta ^{2}}, \frac {4 a}{\beta }, \frac {4 b \left (a +b \right )}{\beta ^{2}}, \coth \left (\frac {\beta x}{2}\right )\right ) c_3 +\operatorname {HeunDPrime}\left (-\frac {2 a}{\beta }, \frac {4 b \left (a -b \right )}{\beta ^{2}}, \frac {4 a}{\beta }, \frac {4 b \left (a +b \right )}{\beta ^{2}}, \coth \left (\frac {\beta x}{2}\right )\right )\right )}{2 c_3 \operatorname {HeunD}\left (\frac {2 a}{\beta }, \frac {4 b \left (a -b \right )}{\beta ^{2}}, \frac {4 a}{\beta }, \frac {4 b \left (a +b \right )}{\beta ^{2}}, \coth \left (\frac {\beta x}{2}\right )\right ) {\mathrm e}^{\frac {a \sinh \left (\beta x \right )}{\beta }}+2 \operatorname {HeunD}\left (-\frac {2 a}{\beta }, \frac {4 b \left (a -b \right )}{\beta ^{2}}, \frac {4 a}{\beta }, \frac {4 b \left (a +b \right )}{\beta ^{2}}, \coth \left (\frac {\beta x}{2}\right )\right )} \\ \end{align*}
2.5.9.2 Solved using first_order_ode_riccati_by_guessing_particular_solution

0.188 (sec)

Entering first order ode riccati guess solver

\begin{align*} y^{\prime }&=y^{2}+a \cosh \left (\beta x \right ) y+a b \cosh \left (\beta x \right )-b^{2} \\ \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) & =a b \cosh \left (\beta x \right )-b^{2}\\ f_1(x) & =\cosh \left (\beta x \right ) a\\ f_2(x) &=1 \end{align*}

Using trial and error, the following particular solution was found

\[ y_p = -b \]
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

\[ y = -b +\frac {{\mathrm e}^{\frac {a \sinh \left (\beta x \right )}{\beta }-2 b x}}{c_1 -\int {\mathrm e}^{\frac {a \sinh \left (\beta x \right )}{\beta }-2 b x}d x} \]

Summary of solutions found

\begin{align*} y &= -b +\frac {{\mathrm e}^{\frac {a \sinh \left (\beta x \right )}{\beta }-2 b x}}{c_1 -\int {\mathrm e}^{\frac {a \sinh \left (\beta x \right )}{\beta }-2 b x}d x} \\ \end{align*}
2.5.9.3 Maple. Time used: 0.003 (sec). Leaf size: 73
ode:=diff(y(x),x) = y(x)^2+a*cosh(beta*x)*y(x)+a*b*cosh(beta*x)-b^2; 
dsolve(ode,y(x), singsol=all);
 
\[ y = \frac {b \int {\mathrm e}^{\frac {-2 x b \beta +\sinh \left (\beta x \right ) a}{\beta }}d x -b c_1 +{\mathrm e}^{\frac {-2 x b \beta +\sinh \left (\beta x \right ) a}{\beta }}}{-\int {\mathrm e}^{\frac {-2 x b \beta +\sinh \left (\beta x \right ) a}{\beta }}d x +c_1} \]

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: 
   <- Riccati particular case Kamke (b) successful
 

Maple step by step

\[ \begin {array}{lll} & {} & \textrm {Let's solve}\hspace {3pt} \\ {} & {} & \frac {d}{d x}y \left (x \right )=y \left (x \right )^{2}+a \cosh \left (\beta x \right ) y \left (x \right )+a b \cosh \left (\beta x \right )-b^{2} \\ \bullet & {} & \textrm {Highest derivative means the order of the ODE is}\hspace {3pt} 1 \\ {} & {} & \frac {d}{d x}y \left (x \right ) \\ \bullet & {} & \textrm {Solve for the highest derivative}\hspace {3pt} \\ {} & {} & \frac {d}{d x}y \left (x \right )=y \left (x \right )^{2}+a \cosh \left (\beta x \right ) y \left (x \right )+a b \cosh \left (\beta x \right )-b^{2} \end {array} \]
2.5.9.4 Mathematica. Time used: 2.703 (sec). Leaf size: 298
ode=D[y[x],x]==y[x]^2+a*Cosh[\[Beta]*x]*y[x]+a*b*Cosh[\[Beta]*x]-b^2; 
ic={}; 
DSolve[{ode,ic},y[x],x,IncludeSingularSolutions->True]
 
\begin{align*} y(x)&\to -\frac {\beta \exp \left (\beta x-2 \int _1^{e^{x \beta }}\frac {2 (2 b+\beta ) K[1]-a \left (K[1]^2+1\right )}{4 \beta K[1]^2}dK[1]\right )+b \int _1^{e^{x \beta }}\exp \left (-2 \int _1^{K[3]}\frac {2 (2 b+\beta ) K[1]-a \left (K[1]^2+1\right )}{4 \beta K[1]^2}dK[1]\right )dK[3]+b c_1}{\int _1^{e^{x \beta }}\exp \left (-2 \int _1^{K[3]}\frac {2 (2 b+\beta ) K[1]-a \left (K[1]^2+1\right )}{4 \beta K[1]^2}dK[1]\right )dK[3]+c_1}\\ y(x)&\to -b\\ y(x)&\to -\frac {\beta \exp \left (\beta x-2 \int _1^{e^{x \beta }}\frac {2 (2 b+\beta ) K[1]-a \left (K[1]^2+1\right )}{4 \beta K[1]^2}dK[1]\right )}{\int _1^{e^{x \beta }}\exp \left (-2 \int _1^{K[3]}\frac {2 (2 b+\beta ) K[1]-a \left (K[1]^2+1\right )}{4 \beta K[1]^2}dK[1]\right )dK[3]}-b \end{align*}
2.5.9.5 Sympy
from sympy import * 
x = symbols("x") 
BETA = symbols("BETA") 
a = symbols("a") 
b = symbols("b") 
y = Function("y") 
ode = Eq(-a*b*cosh(BETA*x) - a*y(x)*cosh(BETA*x) + b**2 - y(x)**2 + Derivative(y(x), x),0) 
ics = {} 
dsolve(ode,func=y(x),ics=ics)
 
NotImplementedError : The given ODE -a*b*cosh(BETA*x) - a*y(x)*cosh(BETA*x) + b**2 - y(x)**2 + Derivative(y(x), x) cannot be solved by the lie group method