Understanding the Roots of Euler's Equation and Finding the Second Solution

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In summary: And that's all there is to it. :)In summary, the conversation discusses the process of finding the second solution to a differential equation using the Euler equation of 2nd order. The speaker presents an equation and asks a series of questions about the process of finding the second solution through differentiation. The expert clarifies the process by explaining the use of Clairaut's theorem and linearity to find the second solution when the root is a double root of the indicial polynomial.
  • #1
yungman
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I am a self studier, there might be things seems obvious to you guys that are not obvious for me. I have a few questions here, I write down the equation first and present the question in the last part. Please bare with me. Thanks.

Eulers equation of 2nd order: [tex]L[y]=x^{2} y''+ \alpha xy'+ \beta y = 0[/tex] (3)

Let [tex]y = x^{r}[/tex]

=> [tex]L[x^{r}]=x^{r}[r(r-1)+\alpha x(x^{r})'+ \beta (x^{r})] = 0[/tex]

If r is a root of the quadratic equation: [tex]F(r)=r(r-1)+\alpha r + \beta = 0[/tex]


[tex] r_{1} , r_{2} =\frac{-(\alpha - 1)^{+}_{-}\sqrt{(\alpha-1)^{2}-4\beta}}{2}[/tex]

and

[tex]F(r)=(r-r_{1})(r-r_{2})[/tex]


For [tex]r_{1} = r_{2}[/tex], [tex]F(r)=(r-r_{1})^{2}[/tex], Both F(r) and F'(r) =0.

We only find [tex]y_{1}=x^{r}[/tex]. We need to find [tex]y_{2}.[/tex]



We differentiating(3) [tex]\frac{d}{dr}[L(x^{r}]=\frac{d}{dr}{x^{r}F(r)][/tex](4)

[tex]\frac{dx^{r}}{dr}=x^{r}ln(x)[/tex]

[tex]L[x^{r}ln(x)]=(r-r_{1})^{2}x^{r}ln(x)+2(r-r_{1})x^{r}[/tex](5)

For [tex]r=r_{1}[/tex], right side of (5) equal to zero.

Therefore [tex]y_{2}(x)=x^{r_{1}}ln(x).[/tex]


My questions are:

1) How is [tex]\frac{d}{dr}[L(x^{r}]=\frac{d[x^{r}ln(x)]}{dr}[/tex] from (4) to (5)?


2) Why For [tex]r=r_{1}[/tex], right side of (5) equal to zero. And therefore [tex]y_{2}(x)=x^{r_{1}}ln(x)?[/tex]
 
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  • #2
I have updated the post. Thanks.

Alan
 
  • #3
I want to clarify question 1): Why is

[tex]\frac{d}{dr}[L(x^{r}]=L[\frac{d(x^{r})}{dr}]=L[x^{r}ln(x)][/tex]


This is an example that I follow the logic and put in my own function. If you let [tex]y=x^{2}+2x, L[y]=4y+3[/tex]

[tex]\frac{d}{dx}[L(y)]=L[\frac{d(x^{2}+2x)}{dx}]=L[2x+2]=4(2x+2)+3=8x+11[/tex]

Where if you substitude [tex]y=x^{2}+2x[/tex] into 4y+3 then differentiate will give [tex]\frac{d[4(x^{2}+2x)+3]}{dx}=8x+8[/tex]

Obvious the two are not equal! This is how I under what the book try to use.





I have one more question:

3) I fail to see how [tex]\frac{dx^{r}}{dr}=x^{r}ln(x)[/tex]and if this equal to zero, then [tex]x^{r}ln(x)[/tex] is the second solution. Why differentiate respect to r give the second solution to the original equation which is a differential equation respect to x.
 
  • #4
What you have is a statement about order of differentiation. Your "counterexample" is not two differentiation operators. Look at it this way. xris a function of x and r. Let's say R is an operator that differentiates with respect to r and L differentiates with respect to x. Now what happens to f(x,r) when operated on by these operators?

[tex]R(L(f(x,r)) = R(f_x(x,r)) = f_{xr}(x,r)[/tex]

[tex]L(R(f(x,r)) = L(f_r(x,r)) = f_{rx}(x,r)[/tex]

This is the result of Clairaut's theorem, which says if the mixed partials are continuous as functions of two variables, they are equal. This combined with linearity gives the result for general linear L.
 
  • #5
yungman said:
I want to clarify question 1): Why is

[tex]\frac{d}{dr}[L(x^{r}]=L[\frac{d(x^{r})}{dr}]=L[x^{r}ln(x)][/tex]

For this one, I think we should be thinking along partial derivatives.
[tex] \frac{\partial}{\partial r} ( \frac{\partial y}{\partial x}) = \frac{\partial}{\partial x} ( \frac{\partial y}{\partial r}) [/tex]

[tex]\frac{d}{dr}[L(y)]= \frac{d}{dr}( x^{2} y\prime\prime + \alpha xy\prime+ \beta y )= L[\frac{dy}{dr}] [/tex]



ps. Help! How do we write y" and y' in latex?
 
  • #6
matematikawan said:
ps. Help! How do we write y" and y' in latex?

[tex]y',\ y''[/tex] :smile:

I just use the single apostrophe two keys to the left of the L on the keyboard with no ^.
 
  • #7
I read in other section on finding second solution in regular singular series with indicial root r=r1=r2. the method used is exactly the same:

Since differentiate resp to x only get one solution. differentiate resp to r and if equal to zero, then that would be the second solution!

That sounds very thin! What is the reason behind this?
 
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  • #8
LCKurtz said:
What you have is a statement about order of differentiation. Your "counterexample" is not two differentiation operators. Look at it this way. xris a function of x and r. Let's say R is an operator that differentiates with respect to r and L differentiates with respect to x. Now what happens to f(x,r) when operated on by these operators?

[tex]R(L(f(x,r)) = R(f_x(x,r)) = f_{xr}(x,r)[/tex]

[tex]L(R(f(x,r)) = L(f_r(x,r)) = f_{rx}(x,r)[/tex]

This is the result of Clairaut's theorem, which says if the mixed partials are continuous as functions of two variables, they are equal. This combined with linearity gives the result for general linear L.

I think I understand what you mean. I just want to verify with you:

1) For a function f(x,r) where it's dirivatives resp to x and r are both continuous on [a,b], then [tex]f_{xr}=f_{rx}[/tex].

2) I follow what you say that the example that I gave is not correct because L[y] in the example is not a differential operator.

Therefore [tex]\frac{d}{dr}[L(x^{r}]=L[\frac{d(x^{r})}{dr}]=L[x^{r}ln(x)][/tex] is true and I can move d/dr inside the L[] as shown in the equation.

Thanks
Alan

I still don't get the reasoning how the author get the second solution by differentiating by r and if the result is zero, then the value inside L[] is the second solution.

Thanks
 
  • #9
yungman said:
I still don't get the reasoning how the author get the second solution by differentiating by r and if the result is zero, then the value inside L[] is the second solution.

Thanks

When you substitute y = xr into your Euler DE you saw that the xr factored out and left it multiplied by the indicial polynomial which I will call p(r):

(*) L(xr) = xrp(r)

If r is a root of the indicial polynomial p(r), then p(r) = 0 and the right side of that equation is zero so you know L(xr)=0, so xr is a solution to your DE L(y) = 0. So you have your first solution. So far so good.

Now suppose r is a double root of p(r). That means both p(r) and p'(r) are zero. Watch what happens if we differentiate equation (*) above with respect to r. On the left side, as we have seen, we can differentiate inside the L operator, and on the right side we can use the product rule, so we get:

L(xrln(x)) = xrln(x)p(r) + xrp'(r) = 0

This shows you that xrln(x) is a solution to L(y) = 0 when r is a double root.

[Edit: Corrected a term in the second line above]
 
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  • #10
LCKurtz said:
When you substitute y = xr into your Euler DE you saw that the xr factored out and left it multiplied by the indicial polynomial which I will call p(r):

(*) L(xr) = xrp(r)

If r is a root of the indicial polynomial p(r), then p(r) = 0 and the right side of that equation is zero so you know L(xr)=0, so xr is a solution to your DE L(y) = 0. So you have your first solution. So far so good.

Now suppose r is a double root of p(r). That means both p(r) and p'(r) are zero. Watch what happens if we differentiate equation (*) above with respect to r. On the left side, as we have seen, we can differentiate inside the L operator, and on the right side we can use the product rule, so we get:

L(xrln(x)) = rx(r-1)p(r) + xrp'(r) = 0

This shows you that xrln(x) is a solution to L(y) = 0 when r is a double root.
So what you are saying is [tex]L[y]=x^{2} y''+ \alpha xy'+ \beta y = 0[/tex]

which give [tex]L[y]=x^{r}[r^{2}+\alpha r+\beta]=0[/tex]

If r is the root, [tex][r^{2}+\alpha r+\beta]=0[/tex]

[tex]L[x^{r}ln(x)]=x^{2} [x^{r}ln(x)]''+ \alpha x[x^{r}ln(x)]'+ \beta [x^{r}ln(x)][/tex]


From what you said:[tex]L[x^{r}ln(x)]=p(r)x^{r}ln(x)+p'(r)x^{r}[/tex] and both p(r) and p'(r) = 0.

Therefore [tex]L[x^{r}ln(x)]=x^{2} [x^{r}ln(x)]''+ \alpha x[x^{r}ln(x)]'+ \beta [x^{r}ln(x)]=x^{r}( ....) =0[/tex]

This prove [tex]x^{r}ln(x)[/tex] is a solution and W[]not equal to zero means this is the second independent solution.

Am I getting it correct?

Thanks for all your help.

Alan
 
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  • #11
Once you have established the equation

(*) L(xr) = xrp(r)

the argument I gave you settles it. While it is correct to put the alphas and betas back in and write out L(y), I think that just obscures what is going on.
 
  • #12
LCKurtz said:
Once you have established the equation

(*) L(xr) = xrp(r)

the argument I gave you settles it. While it is correct to put the alphas and betas back in and write out L(y), I think that just obscures what is going on.

Thanks for all your help.

Alan
 
  • #13
yungman said:
Thanks for all your help.

Alan

Alan, I just noticed and error which I edited at the bottom of post #9 in this thread. It doesn't change the thrust of the argument.
 
  • #14
LCKurtz said:
Alan, I just noticed and error which I edited at the bottom of post #9 in this thread. It doesn't change the thrust of the argument.

I notice that, as you can see from my reply. I am not going to tell the teacher his mistake, that would be like a smart alec!:smile:

Thanks for all your help.
Alan
 
  • #15
What good is this method?
http://komplexify.com/epsilon/category/quotes/" (Ron Getoor) :wink:

The method doesn't works on linear DE with constant coefficient
[tex]L[y]= ay''+ by' + c y = 0[/tex]
because erx and rerx are not linearly independent.




ps. Now I know how to write y" in latex. Thanks.
 
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  • #16
matematikawan said:
What good is this method?
http://komplexify.com/epsilon/category/quotes/" (Ron Getoor) :wink:

The method doesn't works on linear DE with constant coefficient
[tex]L[y]= ay''+ by' + c y = 0[/tex]
because erx and rerx are not linearly independent.




ps. Now I know how to write y" in latex. Thanks.

This kind of x^r only work with Euler, Polynomial coef regular singular series type differential equation and actually in my case, I am studying Bessel equation with r1=r2. They all use the same method. This is the reason I try so hard to understand this step by step instead of just use the equation to solve the problem.


Regarding to typing the equation. I actually went through some of the posts here, when I found equation that I want to write out, I just pretend to respond to the post by hitting the "quote" tap. The text form of the equation will show up. I just copy the tex with the equation onto the word file. Then later when I want to write similar equation, I just copy from the word file and start changing to my own equation!

Actually, after I do this for half an hour, I start to remember them and I start typing the tex myself. YOu notice I type in a lot of equation on #1, half of it is to pratice with writing the equation! Since I am studying PDE on my own, I have a feeling that I'll be on here quite often, might as well learn the "language"!:smile:

Won't take long before you can pretty much type it in tex on most equations.
 
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  • #17
matematikawan said:
What good is this method?
http://komplexify.com/epsilon/category/quotes/" (Ron Getoor) :wink:

The method doesn't works on linear DE with constant coefficient
[tex]L[y]= ay''+ by' + c y = 0[/tex]
because erx and rerx are not linearly independent.




ps. Now I know how to write y" in latex. Thanks.

The method doesn't work for constant coefficients
+Differentiating erx wrt to r gives you xerx which is not linearly dependent on erx
 
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  • #18
elibj123 said:
The method doesn't work for constant coefficients
+Differentiating erx wrt to r gives you xerx which is not linearly dependent on erx

Yes, it is linearly independent of erx. To be dependent it would have to be a constant times erx.
 
  • #19
LCKurtz said:
Yes, it is linearly independent of erx. To be dependent it would have to be a constant times erx.

You've just repeated what I said...
 
  • #20
Yep. I must have read too fast. When you said the method doesn't work on constant coefficient equations I didn't read carefully from there. Now I'm getting mixed up on who said what. :frown:
 
  • #21
OK I made that mistake. I should have differentiate [itex]y(x,r)=e^{rx}[/itex] wrt r not wrt x to get the second solution.

So the method also works for DE with constant coeffiecients and it's cool. And why is that I never see this method in a textbook? I always have to resort to the method Lagrange reduction of order to obtain the second solution. Someone need to give a name for this method so that it can be easily refer to. :smile:
 
  • #22
matematikawan said:
OK I made that mistake. I should have differentiate [itex]y(x,r)=e^{rx}[/itex] wrt r not wrt x to get the second solution.

So the method also works for DE with constant coeffiecients and it's cool. And why is that I never see this method in a textbook? I always have to resort to the method Lagrange reduction of order to obtain the second solution. Someone need to give a name for this method so that it can be easily refer to. :smile:

You frequently need to do something like reduction of order as you mention for second order equations. But this method works for constant coefficient equations. I think if you look in most any elementary DE text in the section about constant coefficient equations, you will find the case of repeated roots of the characteristic equation discussed.
 
  • #23
Guys! tomato or toma(r)to! Please help me on my other question! Please!:smile:
 

1. What is an Euler differential equation (DE)?

An Euler differential equation is a type of mathematical equation that involves one or more unknown functions and their derivatives. It is used to model many real-world phenomena in fields such as physics, engineering, and economics.

2. How do I solve an Euler DE?

To solve an Euler differential equation, you can use various techniques such as separation of variables, substitution, or integration. It is important to first identify the type of equation and then choose an appropriate method to solve it.

3. What is the significance of Euler DE in science?

Euler differential equations play a crucial role in many scientific fields as they allow us to model and understand complex systems. They are used in a wide range of applications, from predicting the trajectory of a projectile to analyzing the behavior of electric circuits.

4. Can you provide an example of an Euler DE in physics?

One example of an Euler differential equation in physics is the harmonic oscillator equation, which describes the motion of a mass attached to a spring. It is given by the equation mx'' + kx = 0, where m is the mass, x is the displacement, and k is the spring constant.

5. Are there any real-life applications of Euler DE?

Yes, there are many real-life applications of Euler differential equations. Some examples include modeling population growth, predicting the spread of diseases, analyzing chemical reactions, and designing control systems for engineering applications.

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