Solutions for diff equation in form of series

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Discussion Overview

The discussion revolves around the interpretation and solution of a differential equation of the form ##(1 - D)y(x) = f(x)##, where D represents the differentiation operator. Participants explore the implications of using series expansions for the operator and the conditions under which these expansions are valid. The conversation touches on operational calculus and the nuances of treating operators in mathematical expressions.

Discussion Character

  • Exploratory
  • Technical explanation
  • Debate/contested
  • Mathematical reasoning

Main Points Raised

  • Some participants propose that the implicit solution can be expressed as ##y(x) = \frac{1}{1-D}f(x)##, but question how to interpret this when D is not a number.
  • Others argue that ##1 - D## should be viewed as an operator rather than a multiplicative term, challenging the initial interpretation of the equation.
  • A participant suggests that if the series ##\sum_{k=0}^\infty T^k## converges, then ##(1 - T)^{-1}## is valid under certain conditions, emphasizing the importance of defining the function space involved.
  • Some responses indicate that it may be easier to apply a method and verify correctness later, rather than determining in advance if it will work.
  • There is a discussion about the notation used for the inverse of the operator, with some participants finding it misleading to write ##\frac{1}{1-D}## instead of ##(1-D)^{-1}##.
  • Participants express confusion over which series expansion to use for the operator, given the conditions of convergence and the nature of the function involved.

Areas of Agreement / Disagreement

Participants do not reach a consensus on the interpretation of the operator or the appropriate series expansion to use. Multiple competing views remain regarding the treatment of the operator and the validity of the proposed solutions.

Contextual Notes

There are limitations regarding the assumptions made about the operator D and the convergence of the series expansions. The discussion does not resolve these mathematical uncertainties.

Jhenrique
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Given the following diff equation: ##(1 - D)y(x) = f(x)##, being D = d/dx, the "implicit" solution is: ##y(x) = \frac{1}{1-D}f(x)##, so, for "explicit" the solution is necessary to expand the fraction 1/(1-D) by identity: ##\frac{1}{1-x}=\sum_{0}^{\infty}x^n \Delta n##, but this infinity series is true only for |x|<1, for |x|>1 is necessary utilize the following series: ##\frac{1}{1-x} = -\sum_{-\infty}^{-1} x^n \Delta n##. Happens that D isn't a number for I say that |D| is less or greater than 1. So, how can I interprate this form of solution correctly?

PS, this ideia from Operational Calculus (http://www.latp.univ-mrs.fr/~chaabi/ARTICLES%20IMPORTANTS/Autres%20articles%20interessant/H.-J.%20Glaeske,%20A.%20P.%20Prudnikov,%20K.A.%20Skornik%20-%20Operational%20Calculus%20and%20Related%20Topics%20%28Analytical%20Methods%20and%20Special%20Functions%29%20%28Chapman%20,2006%29.pdf )
 
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Jhenrique said:
Given the following diff equation: ##(1 - D)y(x) = f(x)##, being D = d/dx, the "implicit" solution is: ##y(x) = \frac{1}{1-D}f(x)##,
No, this makes no sense. You are treating 1 - D as if it were multiplying y(x) - it isn't, any more than (d/dx)y means d/dx times y. Here 1 - D is an operator that operates on y(x). It does NOT multiply y(x).
Jhenrique said:
so, for "explicit" the solution is necessary to expand the fraction 1/(1-D) by identity: ##\frac{1}{1-x}=\sum_{0}^{\infty}x^n \Delta n##, but this infinity series is true only for |x|<1, for |x|>1 is necessary utilize the following series: ##\frac{1}{1-x} = -\sum_{-\infty}^{-1} x^n \Delta n##. Happens that D isn't a number for I say that |D| is less or greater than 1. So, how can I interprate this form of solution correctly?

PS, this ideia from Operational Calculus (http://www.latp.univ-mrs.fr/~chaabi/ARTICLES%20IMPORTANTS/Autres%20articles%20interessant/H.-J.%20Glaeske,%20A.%20P.%20Prudnikov,%20K.A.%20Skornik%20-%20Operational%20Calculus%20and%20Related%20Topics%20%28Analytical%20Methods%20and%20Special%20Functions%29%20%28Chapman%20,2006%29.pdf )
 
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Just a recommendation for you based on reading your other posts.. It seems that you have a lot of misconceptions. Maybe it wouldn't hurt if you mastered basic math before trying to do more advanced stuff :)

There is indeed something similar to what you're thinking. Suppose you have a bounded operator [itex]\textit{T}[/itex] on a normed space [itex]\textit{X}[/itex]. If the series [itex]\sum\limits_{k=0}^\infty T^k[/itex] converges, then [itex](1 - T)[/itex] is invertible and then
[tex]\left(1 - T\right)^{-1} = \sum\limits_{k=0}^\infty T^k[/tex]
If [itex]\textit{X}[/itex] is Banach and [itex]\| T \| < 1[/itex] (in operator norm) the convergence is guaranteed. The thing is, you have to define the function space you are working with. If you are working with polynomials then convergence is trivial (it is only a finite sum). On the other hand, if you are considering [itex]\frac{d}{dx}: C^1([0,1]) \rightarrow C([0,1])[/itex] the operator is not bounded.
 
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There are ways to know in advance if the method will work, but it is often easier to go ahead with it and check the answer for correctness later. That is use the method to produce a possible solution to be verified afterward.

$$(1-\mathrm{D})\mathrm{y}(x)=\mathrm{f}(x) \\
\mathrm{y}(x)=(1-\mathrm{D})^{-1}\mathrm{f}(t) \\
\mathrm{y}(x)=-\mathrm{D}^{-1}(1-\mathrm{D}^{-1})^{-1}\mathrm{f}(t) \\
\mathrm{y}(x)=-\sum_{k=1}^\infty\mathrm{D}^{-k}\mathrm{f}(t) \\
\mathrm{y}(x)=-\mathrm{D}^{-1}\sum_{k=1}^\infty\frac{(x-t)^{k-1}}{(k-1)!}\mathrm{f}(t) \\
\mathrm{y}(x)=-\mathrm{D}^{-1}e^{x-t}\mathrm{f}(t) \\
\mathrm{y}(x)=-e^{x}\mathrm{D}^{-1}e^{-t}\mathrm{f}(t)
$$
where
$$\mathrm{D}^{-1}\{\cdot\}=\int_a^x \! \{\cdot\} \, \mathrm{d}t$$
Also observe with some intuition we could skip to the end
$$(1-\mathrm{D})\mathrm{y}(x)=\mathrm{f}(x) \\
(1-\mathrm{D})e^x e^{-x}\mathrm{y}(x)=\mathrm{f}(x) \\
-e^x\mathrm{D}e^{-x}\mathrm{y}(x)=\mathrm{f}(x) \\
\mathrm{y}(x)=-e^x\mathrm{D}^{-1}e^{-t}\mathrm{f}(t)$$
 
lurflurf said:
There are ways to know in advance if the method will work, but it is often easier to go ahead with it and check the answer for correctness later. That is use the method to produce a possible solution to be verified afterward.

$$(1-\mathrm{D})\mathrm{y}(x)=\mathrm{f}(x) \\
\mathrm{y}(x)=(1-\mathrm{D})^{-1}\mathrm{f}(t) \\
\mathrm{y}(x)=-\mathrm{D}^{-1}(1-\mathrm{D}^{-1})^{-1}\mathrm{f}(t) \\
\mathrm{y}(x)=-\sum_{k=1}^\infty\mathrm{D}^{-k}\mathrm{f}(t) \\
\mathrm{y}(x)=-\mathrm{D}^{-1}\sum_{k=1}^\infty\frac{(x-t)^{k-1}}{(k-1)!}\mathrm{f}(t) \\
\mathrm{y}(x)=-\mathrm{D}^{-1}e^{x-t}\mathrm{f}(t) \\
\mathrm{y}(x)=-e^{x}\mathrm{D}^{-1}e^{-t}\mathrm{f}(t)
$$
How are you going from the 2nd line above to the third?
lurflurf said:
where
$$\mathrm{D}^{-1}\{\cdot\}=\int_a^x \! \{\cdot\} \, \mathrm{d}t$$
Also observe with some intuition we could skip to the end
$$(1-\mathrm{D})\mathrm{y}(x)=\mathrm{f}(x) \\
(1-\mathrm{D})e^x e^{-x}\mathrm{y}(x)=\mathrm{f}(x) \\
-e^x\mathrm{D}e^{-x}\mathrm{y}(x)=\mathrm{f}(x) \\
\mathrm{y}(x)=-e^x\mathrm{D}^{-1}e^{-t}\mathrm{f}(t)$$
 
Jhenrique said:
PS, this ideia from Operational Calculus (http://www.latp.univ-mrs.fr/~chaabi/ARTICLES%20IMPORTANTS/Autres%20articles%20interessant/H.-J.%20Glaeske,%20A.%20P.%20Prudnikov,%20K.A.%20Skornik%20-%20Operational%20Calculus%20and%20Related%20Topics%20%28Analytical%20Methods%20and%20Special%20Functions%29%20%28Chapman%20,2006%29.pdf )
One other thing: if you cite a paper that is 400+ pages long, at least say what page or section you're referring to.
 
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^distributive property

$$(1-\mathrm{D})^{-1}=[(-\mathrm{D})(-\mathrm{D}^{-1})+(-\mathrm{D})(1)]^{-1} \\
=[-\mathrm{D}(-\mathrm{D}^{-1}+1)]^{-1}=(-\mathrm{D})^{-1}(1-\mathrm{D}^{-1})^{-1}=-\mathrm{D}^{-1}(1-\mathrm{D}^{-1})^{-1}$$
In operators 1 should be considered the identity of the operator algebra and not a number.
Maybe it would be better to use I
For example D(1-D)=D-D^2 not -D^2
 
  • #10
Mark44 said:
One other thing: if you cite a paper that is 400+ pages long, at least say what page or section you're referring to.

Sorry, kkkkkkkkkk, the theory about operational calculus is in the first pages...

I know that the following expression works, ##\frac{1}{1-D}=\sum_{0}^{\infty}D^n \Delta n##, and that the following too, ##\frac{1}{1-D} = -\sum_{-\infty}^{-1} D^n \Delta n##. So, my question is: given a diff equation like: ##y(x) = \frac{1}{1-D}f(x)##, which of the two I must to use, and why?
 
  • #11
Jhenrique said:
Sorry, kkkkkkkkkk, the theory about operational calculus is in the first pages...

I know that the following expression works, ##\frac{1}{1-D}=\sum_{0}^{\infty}D^n \Delta n##, and that the following too, ##\frac{1}{1-D} = -\sum_{-\infty}^{-1} D^n \Delta n##. So, my question is: given a diff equation like: ##y(x) = \frac{1}{1-D}f(x)##, which of the two I must to use, and why?

IMO it's misleading to write ##\frac 1 {1 - D}## instead of (1 - D)-1; i.e., as a fraction instead of an inverse.
 
  • #12
Mark44 said:
IMO it's misleading to write ##\frac 1 {1 - D}## instead of (1 - D)-1; i.e., as a fraction instead of an inverse.

But that difference this make?

PS: this link has more example of "operational calculus": http://rip94550.wordpress.com/2012/08/27/heavisides-operational-calculus/

So, again I reiterate my question:
I know that the following expression works, ##\frac{1}{1-D}=\sum_{0}^{\infty}D^n \Delta n##, and that the following too, ##\frac{1}{1-D} = -\sum_{-\infty}^{-1} D^n \Delta n##. So, my question is: given a diff equation like: ##y(x) = \frac{1}{1-D}f(x)##, which of the two I must to use, and why?
 
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  • #13
Xiuh said:
There is indeed something similar to what you're thinking. Suppose you have a bounded operator [itex]\textit{T}[/itex] on a normed space [itex]\textit{X}[/itex]. If the series [itex]\sum\limits_{k=0}^\infty T^k[/itex] converges, then [itex](1 - T)[/itex] is invertible and then
[tex]\left(1 - T\right)^{-1} = \sum\limits_{k=0}^\infty T^k[/tex]
If [itex]\textit{X}[/itex] is Banach and [itex]\| T \| < 1[/itex] (in operator norm) the convergence is guaranteed. The thing is, you have to define the function space you are working with. If you are working with polynomials then convergence is trivial (it is only a finite sum). On the other hand, if you are considering [itex]\frac{d}{dx}: C^1([0,1]) \rightarrow C([0,1])[/itex] the operator is not bounded.

I didn't undertand...
 

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