Can a distribution or delta function solve a NONlinear ODE or PDE

In summary: Therefore, the delta function can solve this nonlinear problem. In summary, the delta function is able to solve nonlinear problems of the form F(y,y',y'',x) by satisfying certain conditions and making sense under the integral sign. The use of impulse response can also provide solutions to these types of problems.
  • #1
zetafunction
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the question is , can a delta function /distribution [tex] \delta (x-a) [/tex]

solve a NOnlinear problem of the form [tex] F(y,y',y'',x) [/tex]

the question is that in many cases you can NOT multiply a distribution by itself so you could not deal with Nonlinear terms such as [tex] (y)^{3} [/tex] or [tex] yy' [/tex]
 
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  • #2
Suppose you kick a mass connected to a spring with a known nonlinear stiffness coefficient. And you measure the position, velocity and acceleration then you form your diff. equation. What should the right hand side should be?

Check out the term "impulse response" and you will get plenty of them.

The key is that Delta distribution makes sense under the integral sign.
 
  • #3
zetafunction said:
the question is , can a delta function /distribution [tex] \delta (x-a) [/tex]

solve a NOnlinear problem of the form [tex] F(y,y',y'',x) [/tex]

the question is that in many cases you can NOT multiply a distribution by itself so you could not deal with Nonlinear terms such as [tex] (y)^{3} [/tex] or [tex] yy' [/tex]

Yes, this often is impossible. In, for example, interacting quantum field theory, it is sometimes necessary to multiply distributions. This can be done if certain conditions are satisfied; see the work of Hormander and the book by Colombeau.
trambolin said:
Suppose you kick a mass connected to a spring with a known nonlinear stiffness coefficient. And you measure the position, velocity and acceleration then you form your diff. equation. What should the right hand side should be?

Check out the term "impulse response" and you will get plenty of them.

The key is that Delta distribution makes sense under the integral sign.

Since the LHS of this example involves second derivatives while the RHS is a delta funtion, the solution to the differential equation could be a continuous function (thus, not delta function-like) that has cusps (similar to the absolute value function). Differentiating once will give a jump discontinuity and differentiating again will give the delta function.
 

1. Can a distribution or delta function solve a nonlinear ODE or PDE?

Yes, a distribution or delta function can solve a nonlinear ODE or PDE. However, it is not a direct solution and requires additional mathematical techniques such as distribution theory or the theory of generalized functions.

2. What is a distribution or delta function?

A distribution or delta function is a mathematical concept that generalizes the notion of a function in the traditional sense. It is defined as a linear functional that maps a set of test functions to the real numbers.

3. How does a distribution or delta function work in solving nonlinear ODEs or PDEs?

A distribution or delta function is used to represent the singularities in the solution of a nonlinear ODE or PDE. It acts as a generalized solution by assigning a value to these singular points.

4. Are there any limitations to using a distribution or delta function in solving nonlinear ODEs or PDEs?

Yes, there are some limitations to using a distribution or delta function in solving nonlinear ODEs or PDEs. These include the need for additional mathematical techniques, as well as the inability to represent certain types of singularities.

5. What are the advantages of using a distribution or delta function in solving nonlinear ODEs or PDEs?

The main advantage of using a distribution or delta function in solving nonlinear ODEs or PDEs is its ability to handle singularities, which are common in nonlinear equations. It also allows for a more general and flexible solution compared to traditional methods.

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