24.75 problem 75

24.75.1 Maple step by step solution

Internal problem ID [10811]
Internal file name [OUTPUT/9759_Thursday_June_09_2022_12_57_35_AM_77570412/index.tex]

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. Equations of the form \(y y'=f_1(x) y+f_0(x)\)
Problem number: 75.
ODE order: 1.
ODE degree: 1.

The type(s) of ODE detected by this program : "unknown"

Maple gives the following as the ode type

[[_Abel, `2nd type`, `class A`]]

Unable to solve or complete the solution.

\[ \boxed {y y^{\prime }-\left (a \cosh \left (x \right )+b \right ) y=-a b \sinh \left (x \right )+c} \] Unable to determine ODE type.

24.75.1 Maple step by step solution

\[ \begin {array}{lll} & {} & \textrm {Let's solve}\hspace {3pt} \\ {} & {} & y y^{\prime }-\left (a \cosh \left (x \right )+b \right ) y=-a b \sinh \left (x \right )+c \\ \bullet & {} & \textrm {Highest derivative means the order of the ODE is}\hspace {3pt} 1 \\ {} & {} & y^{\prime } \\ \bullet & {} & \textrm {Solve for the highest derivative}\hspace {3pt} \\ {} & {} & y^{\prime }=\frac {\left (a \cosh \left (x \right )+b \right ) y-a b \sinh \left (x \right )+c}{y} \end {array} \]

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 
   -> Calling odsolve with the ODE`, diff(y(x), x) = (sinh(y(x))*exp(-x*b)*a*b-exp(-x*b)*c-b)/(b*exp(-x*b)), y(x), implicit`      ** 
      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 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 = 5 
      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(f__1(y), y)-cosh(y)*f__1(y)/sinh(y), f__1(y)`            *** Sublevel 3 *** 
            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 
   -> Calling odsolve with the ODE`, -exp(-y(x)*b)*(a*b*sinh(x)-c)/b+exp(-y(x)*b)/(diff(y(x), x))+1 = 0, y(x), explicit`      *** Su 
      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 an equivalence to an Abel ODE 
      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 = 5 
      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(f__1(x), x), f__1(x)`            *** Sublevel 3 *** 
            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(f__1(x), x)-cosh(x)*f__1(x)*a*b/(a*b*sinh(x)-c), f__1(x)`            *** Sublevel 3 
            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 
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)+sinh(x)*y(x)*a/(cosh(x)*a+b), 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)+cosh(x)*y(x)*a*b/(a*b*sinh(x)-c), 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) = -sinh(x)*y(x)*a/(cosh(x)*a+b), 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) = -cosh(x)*y(x)*a*b/(a*b*sinh(x)-c), 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)*b^3-c*x*K[1])/(b^3*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)*c/(x*(b*x+c)), 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)+(b*x*K[1]+y(x)*c)/(x*(3*b*x+c)), 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)+(b*x*K[1]+2*y(x)*c)/(x*(3*b*x+2*c)), 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)+K[1]*b^2/c^2, 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)+(3*y(x)*c*b-x^2*K[1])/(b*x*(2*b*x+3*c)), 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)+(3*y(x)*c*b-x^2*K[1])/(b*x*(b*x+3*c)), 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`
 

Solution by Maple

dsolve(y(x)*diff(y(x),x)=(a*cosh(x)+b)*y(x)-a*b*sinh(x)+c,y(x), singsol=all)
 

\[ \text {No solution found} \]

Solution by Mathematica

Time used: 0.0 (sec). Leaf size: 0

DSolve[y[x]*y'[x]==(a*Cosh[x]+b)*y[x]-a*b*Sinh[x]+c,y[x],x,IncludeSingularSolutions -> True]
 

Not solved