Solving a Nasty First Order ODE

In summary, the conversation revolves around solving a differential equation from Blanchard's "Differential Equations" Chapter one. The attempt at solving it involves using an integrating factor, but the person realizes it is much simpler by multiplying out by (1+t^4)dt. A hint is given to make the left side look like the Quotient Rule by finding the derivative of (1+t^4).
  • #1
nichevo
1
0

Homework Statement



This problem is from Blanchard "Differential Equations" Chapter one review, question 32.

[tex]{\frac {d}{dt}}y \left( t \right) -{\frac {y \left( t \right) {t}^{3}}
{1+{t}^{4}}}=2
[/tex]


The Attempt at a Solution



Using an integrating factor yields:

[tex]
{\frac {d}{dt}} \sqrt [4]{1+{t}^{4}}y \left( t \right) =2\,\sqrt [4]{1+{t}^{4}}
[/tex]

This is unworkable...

Any hints would be greatly appreciated. I suspect that I am overlooking a simple guess.
 
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  • #2
Yeah, you're making it much harder than it is. Just multiply out by [itex](1+t^4)dt[/itex], and you get

[tex](1+t^4)dy - yt^3dt = 2(1+t^4)dt[/tex]

Hint: try to make the left side look like the Quotient Rule. What is the derivative of [itex](1+t^4)[/itex]?
 

FAQ: Solving a Nasty First Order ODE

What is a "Nasty first order ODE"?

A "Nasty first order ODE" refers to a first-order ordinary differential equation that is difficult to solve, either analytically or numerically. These types of equations often involve complicated functions or nonlinear terms, making them challenging to solve using traditional methods.

What makes a first order ODE "nasty"?

A first order ODE can be considered "nasty" if it has no closed-form solution, or if the solution involves complex functions or integrals that are difficult to evaluate. In addition, a first order ODE can be considered "nasty" if it has multiple solutions or if the solution is highly sensitive to initial conditions.

How are "nasty" first order ODEs typically solved?

In many cases, "nasty" first order ODEs can be solved using numerical methods such as the Euler or Runge-Kutta methods. These methods involve approximating the solution at discrete points and using iterative calculations to find the overall solution. In some cases, symbolic software such as Mathematica or MATLAB can also be used to solve these equations.

Are there any real-world applications of "nasty" first order ODEs?

Yes, "nasty" first order ODEs are commonly encountered in various fields of science and engineering, including physics, biology, and economics. For example, population growth models, chemical reaction kinetics, and electrical circuit analysis can all involve "nasty" first order ODEs that require advanced techniques to solve.

What are some strategies for tackling a "nasty" first order ODE?

One strategy for solving a "nasty" first order ODE is to try and simplify the equation by using substitutions or transformations. Another approach is to use numerical methods or software to approximate the solution. Additionally, seeking help from a knowledgeable mentor or consulting textbooks and online resources can also be helpful in tackling these types of equations.

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