Legendre Equation & Polynomials

In summary: The series solution can then be written as:##y = \sum_{n=0}^{∞} a_nx^n = \sum_{n=1}^{∞} a_{2n} x^{2n} + \sum_{n=1}^{∞} a_{2n+1} x^{2n+1} = a_0 + \sum_{n=1}^{∞} \frac{1}{n+2} x^{2n+1} ##.If ##\nu = 2m## or ##\nu = 2m +1## for some ##m ≥ 1##, then some other interesting things seem to
  • #1
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I came across the Legendre differential equation today and I'm curious about how to solve it. The equation has the form:

$$(1 - x^2)y'' - 2xy' + \nu(\nu +1)y = 0, (1)$$

Where ##\nu## is a constant.

The equation has singularities at ##x_1 = \pm 1## where both ##p## and ##q## are not analytic. The best ordinary point to use would probably be ##x_0 = 0##, which yields the radius of convergence ##R ≥ |x_0 - x_1| = 1## for the series solution:

##y = \sum_{n=0}^{∞} a_nx^n, |x - x_0| < R##.

Taking derivatives and simplifying ##(1)##, I found the recurrence relation to be:

##a_{n+2} = \frac{n(n+1) - \nu(\nu+1)}{(n+1)(n+2)} a_n##

From which I have noticed some interesting properties.

If ##\nu = 0##, then all of terms involving ##n## even are zero. The terms involving ##n## odd can be deduced from: ##a_{n+2} = \frac{n}{n+2}##. When ##n = 1, 3, 5 ...## it can be observed that ##a_{2n+1} = \frac{1}{n+2}##.

The series solution can then be written as:

##y = \sum_{n=0}^{∞} a_nx^n = \sum_{n=1}^{∞} a_{2n} x^{2n} + \sum_{n=1}^{∞} a_{2n+1} x^{2n+1} = a_0 + \sum_{n=1}^{∞} \frac{1}{n+2} x^{2n+1} ##.

If ##\nu = 2m## or ##\nu = 2m +1## for some ##m ≥ 1##, then some other interesting things seem to happen. If ##\nu## is even, all of the even ##n## terms of the recurrence relation are zero after a certain point and there is only an odd sum plus a few even terms. If ##\nu## is odd, all of the odd ##n## terms of the recurrence relation are zero after a certain point and there is only an even sum plus a few odd terms.

Does this sound alright? Finding solutions for ##\nu > 0## has proven slightly difficult to formalize.
 
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  • #2
Zondrina said:
I came across the Legendre differential equation today and I'm curious about how to solve it. The equation has the form:

$$(1 - x^2)y'' - 2xy' + \nu(\nu +1)y = 0, (1)$$

Where ##\nu## is a constant.

The equation has singularities at ##x_1 = \pm 1## where both ##p## and ##q## are not analytic. The best ordinary point to use would probably be ##x_0 = 0##, which yields the radius of convergence ##R ≥ |x_0 - x_1| = 1## for the series solution:

##y = \sum_{n=0}^{∞} a_nx^n, |x - x_0| < R##.

Taking derivatives and simplifying ##(1)##, I found the recurrence relation to be:

##a_{n+2} = \frac{n(n+1) - \nu(\nu+1)}{(n+1)(n+2)} a_n##

From which I have noticed some interesting properties.

If ##\nu = 0##, then all of terms involving ##n## even are zero.

Except ##a_0##

The terms involving ##n## odd can be deduced from: ##a_{n+2} = \frac{n}{n+2}##.

Shouldn't this be
[tex]a_{n+2} = \frac{n}{n+2}a_n[/tex]

I don't see why you dropped the ##a_n## here.

Anyway, for the case ##\nu = 0##, you basically have two kinds of series solutions:

1) The solutions coming from an arbitrary ##a_0##. As you correctly found, these solutions will have the form ##y(x) = a_0##. This will give rise to the Legendre polynomial.

2) The series solutions of the form ##\sum a_n x^n## where all the ##n## in the sum are odd. So it would be better to write this as ##x \sum a_{2n +1} (x^2)^n##. As you found, these will satisfy the recurrence relation ##a_{n+2}= \frac{n}{n+2}a_n##. What is the convergence radius of this power series? Apply the ratio test. This will give rise to the Legendre function of the second kind. You should try to prove that this solution is a multiple of ##\log\left(\frac{1+x}{1-x}\right)##.

Something similar can be done for ##\nu>0##, but let's do the case ##\nu = 0## first.
 
  • #3
Except a0

Indeed, I figure by convention it was assumed that it is known that at least ##a_0## and ##a_1## are arbitrary, defined explicitly by initial conditions (otherwise they really only help define the recurrence relation); Just clarifying this.

Shouldn't this be
[tex]a_{n+2} = \frac{n}{n+2}a_n[/tex]

Yes sorry for the typo, I should have hit that preview button.

Anyway, for the case ##\nu = 0##, you basically have two kinds of series solutions:

1) The solutions coming from an arbitrary ##a_0##. As you correctly found, these solutions will have the form ##y(x) = a_0##. This will give rise to the Legendre polynomial.

Yes, expressing the assumed solution as the sum of two series, one including the even terms and one including the odd ones:

##y = \sum_{n=0}^{∞} a_nx^n = \sum_{k=0}^{∞} a_{2k} x^{2k} + \sum_{k=0}^{∞} a_{2k+1} x^{2k+1} = a_0 + a_1[ x + \sum_{k=1}^{∞} \frac{(1 \cdot 3 \cdot ... \cdot 2k+1)}{(3 \cdot 5 \cdot ... \cdot 2k+3)} x^{2k+1}]##.

I see that the two series represent the Legendre polynomials themselves for the value of ##\nu##; and any linear combination of these two series also represent a solution to the second order equation. That is:

##y = c_1y_1 + c_2y_2## is a general solution.

The solution ##y_2 = a_1[x + \sum_{k=1}^{∞} \frac{(1 \cdot 3 \cdot ... \cdot 2k+1)}{(3 \cdot 5 \cdot ... \cdot 2k+3)} x^{2k+1}]## might be an elementary function, but the manipulation required to find a closed form function is tedious.

What is the convergence radius of this power series? Apply the ratio test. This will give rise to the Legendre function of the second kind. You should try to prove that this solution is a multiple of ##log(\frac{1+x}{1−x})##.

The radius of convergence of the assumed solution is at least as great as the magnitude of the distance between the ordinary point ##x_0## and the closest singular point ##x_1##. The ratio test is another way to do this.

Not quite sure what you meant by a multiple of ##log(\frac{1+x}{1−x})##.
 
  • #4
It will be worthwhile to find the series expansion of

[tex]\log\left(\frac{1+x}{1-x}\right) = \log(1+x) - log(1-x)[/tex]

Can you do thise? The idea is to find the series of ##\frac{1}{1+x}## and ##\frac{1}{1-x}## and then integrating those.

If you do this, then you will find the closed form of ##y_2##.
 
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  • #5
micromass said:
It will be worthwhile to find the series expansion of

[tex]\log\left(\frac{1+x}{1-x}\right) = \log(1+x) - log(1-x)[/tex]

Can you do thise? The idea is to find the series of ##\frac{1}{1+x}## and ##\frac{1}{1-x}## and then integrating those.

If you do this, then you will find the closed form of ##y_2##.

I thought that is what you had intended, but I couldn't quite see how to do it last night. I got to this:

##f(x) = log(1+x) - log(1-x)##
##f'(x) = \frac{1}{1+x} + \frac{1}{1-x} = \sum_{n=0}^{∞} (-1)^n x^n + \sum_{n=0}^{∞} x^n = \sum_{n=0}^{∞} ((-1)^n + 1) x^n##

Integrating I obtained:

##f(x) = \sum_{n=0}^{∞} ((-1)^n + 1) \int x^n dx = \sum_{n=0}^{∞} \frac{((-1)^n + 1)}{n+1} x^{n+1} + C##

Where ##C = 0## at ##x=0##.

Now when ##n## is zero or even, ##((-1)^n + 1) = 2## and when it is odd, ##((-1)^n + 1) = 0##. So we can re-write the series as:

##\sum_{n=0}^{∞} \frac{2}{2n+1} x^{2n+1} = 2(x + \sum_{n=1}^{∞} \frac{1}{2n+1} x^{2n+1})##
 
  • #6
Zondrina said:
I thought that is what you had intended, but I couldn't quite see how to do it last night. I got to this:

##f(x) = log(1+x) - log(1-x)##
##f'(x) = \frac{1}{1+x} + \frac{1}{1-x} = \sum_{n=0}^{∞} (-1)^n x^n + \sum_{n=0}^{∞} x^n = \sum_{n=0}^{∞} ((-1)^n + 1) x^n##

Integrating I obtained:

##f(x) = \sum_{n=0}^{∞} ((-1)^n + 1) \int x^n dx = \sum_{n=0}^{∞} \frac{((-1)^n + 1)}{n+1} x^{n+1} + C##

Where ##C = 0## at ##x=0##.

Now when ##n## is zero or even, ##((-1)^n + 1) = 2## and when it is odd, ##((-1)^n + 1) = 0##. So we can re-write the series as:

##\sum_{n=0}^{∞} \frac{2}{2n+1} x^{2n+1} = 2(x + \sum_{n=1}^{∞} \frac{1}{2n+1} x^{2n+1})##

OK, you got the following series solution:

Zondrina said:
The solution ##y_2 = a_1[x + \sum_{k=1}^{∞} \frac{(1 \cdot 3 \cdot ... \cdot 2k+1)}{(3 \cdot 5 \cdot ... \cdot 2k+3)} x^{2k+1}]##

I don't think this is quite right. For example, we should have
[tex]a_3= \frac{1}{3}a_1[/tex]
while you have
[tex]a_3 = \frac{1}{5}[/tex]
Can you check it again, you should get something like
[tex]y_2 = a_1[x + \sum_{k=1}^{∞} \frac{(1 \cdot 3 \cdot ... \cdot 2k-1)}{(3 \cdot 5 \cdot ... \cdot 2k+1)} x^{2k+1}][/tex]

Anyway, do you see a relation between your solution ##y_2## and the serious expansion of ##\log\left(\frac{1+x}{1-x}\right)##?
 
  • #7
micromass said:
OK, you got the following series solution:



I don't think this is quite right. For example, we should have
[tex]a_3= \frac{1}{3}a_1[/tex]
while you have
[tex]a_3 = \frac{1}{5}[/tex]
Can you check it again, you should get something like
[tex]y_2 = a_1[x + \sum_{k=1}^{∞} \frac{(1 \cdot 3 \cdot ... \cdot 2k-1)}{(3 \cdot 5 \cdot ... \cdot 2k+1)} x^{2k+1}][/tex]

Anyway, do you see a relation between your solution ##y_2## and the serious expansion of ##\log\left(\frac{1+x}{1-x}\right)##?

Ah yes I was noticing this after my last post. I forgot that since ##a_1## is arbitrary, I could use ##2k-1## instead of ##2k+1##, and the bottom is just ##2k+1## for ##k ≥ 1##.

[tex]y_2 = a_1[x + \sum_{k=1}^{∞} \frac{(1 \cdot 3 \cdot ... \cdot 2k-1)}{(3 \cdot 5 \cdot ... \cdot 2k+1)} x^{2k+1}] = a_1[x + \sum_{k=1}^{∞} \frac{1}{2k+1} x^{2k+1}][/tex]

The series expansion found in my prior post looks exactly like this one with ##a_1 = 2##.
 
  • #8
Zondrina said:
Ah yes I was noticing this after my last post. I forgot that since ##a_1## is arbitrary, I could use ##2k-1## instead of ##2k+1##, and the bottom is just ##2k+1## for ##k ≥ 1##.

[tex]y_2 = a_1[x + \sum_{k=1}^{∞} \frac{(1 \cdot 3 \cdot ... \cdot 2k-1)}{(3 \cdot 5 \cdot ... \cdot 2k+1)} x^{2k+1}] = a_1[x + \sum_{k=1}^{∞} \frac{1}{2k+1} x^{2k+1}][/tex]

The series expansion found in my prior post looks exactly like this one with ##a_1 = 2##.

Right, so we have

[tex]y_2(x) = \frac{1}{2} \log\left(\frac{1+x}{1-x}\right)[/tex]

So the general solution to the case ##\nu = 0## is
[tex]y(x) = C_1 + C_2\log\left(\frac{1+x}{1-x}\right)[/tex]

Now, what about ##\nu \neq 0##, can you try the same thing? You will again find that there are two independent solutions: one will give you the Legendre polynomials, and the other one will be related to the ##\log\left(\frac{1+x}{1-x}\right)## function.
 
  • #9
micromass said:
Right, so we have

[tex]y_2(x) = \frac{1}{2} \log\left(\frac{1+x}{1-x}\right)[/tex]

So the general solution to the case ##\nu = 0## is
[tex]y(x) = C_1 + C_2\log\left(\frac{1+x}{1-x}\right)[/tex]

Now, what about ##\nu \neq 0##, can you try the same thing? You will again find that there are two independent solutions: one will give you the Legendre polynomials, and the other one will be related to the ##\log\left(\frac{1+x}{1-x}\right)## function.

Indeed, now that ##\nu = 0## has been covered, there are two more cases involving ##\nu ≥ 1##. Consider once again the recurrence relation:

##a_{n+2} = \frac{n(n+1) - \nu(\nu+1)}{(n+1)(n+2)} a_n##

Suppose ##\nu## is even, that is ##\nu = 2m## for some ##m \in \mathbb{N}, m ≥ 1##:

##a_{n+2} = \frac{n(n+1) - 2m(2m+1)}{(n+1)(n+2)} a_n##

Once ##n = 2k## for some ##k = m##, all the even terms after this point are zero. Thus:

##a_{2k} = (\frac{2k(2k+1) - 2m(2m+1)}{(2k+1)(2k+2)}) a_{2k-2}##
## = - \frac{1}{k!} ((2k)(2k+1) - 2m(2m+1))*((2k-2)((2k-2)+1) - 2m(2m+1))*...*(2m)(2m+1) a_0##

I feel as if there is an easier way to do this?
 
  • #10
But what exactly is it that you want to do?

I would write the recurrence relation as

[tex]a_{n+2}= -\frac{(\nu + n+1)(\nu - n)}{(n+1)(n+2)}a_n[/tex]

I feel that this form is simpler.
 
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  • #11
micromass said:
But what exactly is it that you want to do?

I would write the recurrence relation as

[tex]a_{n+2}= -\frac{(\nu + n+1)(\nu - n)}{(n+1)(n+2)}a_n[/tex]

I feel that this form is simpler.

I'm trying to find general solutions for ##\nu = 0## and when ##\nu## is a positive integer, which is either even or odd.

I agree with the simplification. Expanding the numerator and factoring it, then pulling out a ##(n-\nu)## and a negative yields the expression you have given:

##a_{n+2}= -\frac{(\nu + n+1)(\nu - n)}{(n+1)(n+2)}a_n##

When ##n = 0, 2, 4, 6 ...##, grouping the nice looking terms gives the relation:

##a_{2k} = (-1)^k \frac{[\nu (\nu - 2) (\nu - 4) (\nu - 6) ... (\nu - 2k + 2)][(\nu + 1) (\nu + 3) (\nu + 5) (\nu + 7) ... (\nu + 2k - 1)]}{(2k)!}a_0, k≥1##

When ##n = 1, 3, 5, 7 ...##, grouping the nice looking terms gives the relation:

##a_{2k+1} = (-1)^k \frac{[(\nu - 1) (\nu - 3) (\nu - 5) (\nu - 7) ... (\nu - 2k + 1)][(\nu + 2) (\nu + 4) (\nu + 6) (\nu + 8) ... (\nu + 2k)]}{(2k+1)!}a_1, k≥1##

Wait a moment. Don't these provide a solution for ANY ##\nu## including ##\nu = 0##? Makes me feel like the separate case was a bit of a waste now. Anyhoo, these yield the general solution I believe:

##y = a_0 + \sum_{k=1}^{∞} a_{2k} x^{2k} + a_1x + \sum_{k=1}^{∞} a_{2k+1} x^{2k+1}##
 
  • #12
Zondrina said:
I'm trying to find general solutions for ##\nu = 0## and when ##\nu## is a positive integer, which is either even or odd.

I agree with the simplification. Expanding the numerator and factoring it, then pulling out a ##(n-\nu)## and a negative yields the expression you have given:

##a_{n+2}= -\frac{(\nu + n+1)(\nu - n)}{(n+1)(n+2)}a_n##

When ##n = 0, 2, 4, 6 ...##, grouping the nice looking terms gives the relation:

##a_{2k} = (-1)^k \frac{[\nu (\nu - 2) (\nu - 4) (\nu - 6) ... (\nu - 2k + 2)][(\nu + 1) (\nu + 3) (\nu + 5) (\nu + 7) ... (\nu + 2k - 1)]}{(2k)!}a_0, k≥1##

When ##n = 1, 3, 5, 7 ...##, grouping the nice looking terms gives the relation:

##a_{2k+1} = (-1)^k \frac{[(\nu - 1) (\nu - 3) (\nu - 5) (\nu - 7) ... (\nu - 2k + 1)][(\nu + 2) (\nu + 4) (\nu + 6) (\nu + 8) ... (\nu + 2k)]}{(2k+1)!}a_1, k≥1##

Wait a moment. Don't these provide a solution for ANY ##\nu## including ##\nu = 0##? Makes me feel like the separate case was a bit of a waste now. Anyhoo, these yield the general solution I believe:

##y = a_0 + \sum_{k=1}^{∞} a_{2k} x^{2k} + a_1x + \sum_{k=1}^{∞} a_{2k+1} x^{2k+1}##

OK, that looks good. Your solution will indeed even holds for any complex number ##\nu##. But there will only be a polynomial solution for ##\nu## an integer.

Now, are you happy with that series solution or do you want it in a simpler form?
 
  • #13
For the sake of completeness I would like to clarify some things. We have:

##a_{2k} = (-1)^k \frac{[\nu (\nu - 2) (\nu - 4) (\nu - 6) ... (\nu - 2k + 2)][(\nu + 1) (\nu + 3) (\nu + 5) (\nu + 7) ... (\nu + 2k - 1)]}{(2k)!}a_0, k≥1##

##a_{2k+1} = (-1)^k \frac{[(\nu - 1) (\nu - 3) (\nu - 5) (\nu - 7) ... (\nu - 2k + 1)][(\nu + 2) (\nu + 4) (\nu + 6) (\nu + 8) ... (\nu + 2k)]}{(2k+1)!}a_1, k≥1##

##y = a_0 + \sum_{k=1}^{∞} a_{2k} x^{2k} + a_1x + \sum_{k=1}^{∞} a_{2k+1} x^{2k+1}##

For ##\nu = 0## it was found that ##y = c_1(a_0) + c_2(\frac{1}{2} \log(\frac{1+x}{1-x}))## since all the even terms were zero except ##a_0## and the odd terms were a convergent Taylor function.

If ##\nu = 2r## for some ##r \in \mathbb{N}, r ≥ 1##, the even solution ##y_1## becomes a truncated polynomial of degree ##\nu##. That is, the infinite series reduces to a finite series where:

##y_1 = a_0[1 + \sum_{k=1}^{\frac{\nu}{2}} \frac{a_{2k}}{a_0} x^{2k}]##

The odd solution ##y_2## remains an infinite series. In fact, it is a convergent Taylor series, which is a multiple of ##\log(\frac{1+x}{1-x})##.

If ##\nu = 2r + 1## for some ##r \in \mathbb{N}, r ≥ 1##, the odd solution ##y_2## becomes a truncated polynomial of degree ##\nu##. That is, the infinite series reduces to a finite series where:

##y_2 = a_1[x + \sum_{k=1}^{\frac{\nu + 1}{2}} \frac{a_{2k+1}}{a_1} x^{2k+1}]##

The even solution ##y_1## remains an infinite series. In fact, it is a convergent Taylor series, which is a multiple of ##\log(\frac{1+x}{1-x})##.

Writing the general solutions for the cases ##\nu > 0## in ##\log## form still eludes me. For example, taking the general case where ##\nu## is even:

##y = c_1(a_0[1 + \sum_{k=1}^{\frac{\nu}{2}} \frac{a_{2k}}{a_0} x^{2k}]) + c_2y_2##.

How am I to reduce ##y_2## into a closed ##\log## form? I tried to manipulate ##a_{2k+1}## by multiplying and dividing to introduce factorials.
 
  • #14
They won't exactly by multiples of ##\log\left(\frac{1+x}{1-x}\right)## in the case ##\nu>0##. Well, it depends on what you mean with multiples. If you allow multiplication and addition of polynomials then ok.

For example, for ##\nu=1##, then you have

[tex]Q_1(x) = \frac{x}{2}\log\left(\frac{1+x}{1-x}\right) - 1[/tex]

For ##\nu = 2##, you have

[tex]Q_2(x) = \frac{3x^2 - 1}{4}\log\left(\frac{1+x}{1-x}\right) - \frac{3x}{2}[/tex]

These functions follow the same recurrence relations as the Legendre polynomials, for example, they satisfy

[tex](n+1)Q_{n+1}(x) - (2n + 1)Q_n(x) + n Q_{n-1}(x) = 0[/tex]
 
  • #15
micromass said:
They won't exactly by multiples of ##\log\left(\frac{1+x}{1-x}\right)## in the case ##\nu>0##. Well, it depends on what you mean with multiples. If you allow multiplication and addition of polynomials then ok.

For example, for ##\nu=1##, then you have

[tex]Q_1(x) = \frac{x}{2}\log\left(\frac{1+x}{1-x}\right) - 1[/tex]

For ##\nu = 2##, you have

[tex]Q_2(x) = \frac{3x^2 - 1}{4}\log\left(\frac{1+x}{1-x}\right) - \frac{3x}{2}[/tex]

These functions follow the same recurrence relations as the Legendre polynomials, for example, they satisfy

[tex](n+1)Q_{n+1}(x) - (2n + 1)Q_n(x) + n Q_{n-1}(x) = 0[/tex]

So you are insinuating that:

##Q_{n+1} (x) = \frac{(2n+1)Q_n(x) - nQ_{n-1}(x)}{(n+1)}, n = \nu ≥ 2##.

So for example:

##Q_3(x) = \frac{15x^2 - 5}{12} \log(\frac{1+x}{1-x}) - \frac{5x}{2} - \frac{x}{3} \log(\frac{1+x}{1-x}) + \frac{2}{3} = (\frac{15x^2 - 5}{12} - \frac{x}{3}) \log(\frac{1+x}{1-x}) - \frac{5x}{2} + \frac{2}{3}##
 
  • #16
Zondrina said:
So you are insinuating that:

##Q_{n+1} (x) = \frac{(2n+1)Q_n(x) - nQ_{n-1}(x)}{(n+1)}, n = \nu ≥ 2##.

So for example:

##Q_3(x) = \frac{15x^2 - 5}{12} \log(\frac{1+x}{1-x}) - \frac{5x}{2} - \frac{x}{3} \log(\frac{1+x}{1-x}) + \frac{2}{3} = (\frac{15x^2 - 5}{12} - \frac{x}{3}) \log(\frac{1+x}{1-x}) - \frac{5x}{2} + \frac{2}{3}##

Sorry, I made a mistake. The recursion should be

[tex]Q_{n+1} (x) = \frac{(2n+1)xQ_n(x) - nQ_{n-1}(x)}{(n+1)}[/tex]
 
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  • #17
micromass said:
Sorry, I made a mistake. The recursion should be

[tex]Q_{n+1} (x) = \frac{(2n+1)xQ_n(x) - nQ_{n-1}(x)}{(n+1)}[/tex]

Ahh I was wondering why the powers didn't increase :). Now that makes more sense.

Just to clarify, the functions ##Q_n## are the sum of the infinite series solution according to whether ##\nu## is even or odd?
 
  • #18
Zondrina said:
Just to clarify, the functions ##Q_n## are the sum of the infinite series solution according to whether ##\nu## is even or odd?

Yes. They are called the Legendre functions of the second kind.
 
  • #19
micromass said:
Yes. They are called the Legendre functions of the second kind.

I see. Legendre functions of the first kind are regular (analytic), aka the finite solution in this case. Legendre functions of the second kind are not regular at ##\pm 1##, like the function ##\log(\frac{1+x}{1-x})##. Hence the infinite Taylor series that expresses the second solution (which can be found by the recurrence relation on ##Q_n##) is not regular.

Thank you for all of the help by the way.
 

1. What is the Legendre equation?

The Legendre equation is a second-order ordinary differential equation that is used in many areas of physics, engineering, and mathematics. It is named after the French mathematician Adrien-Marie Legendre who first studied it in the late 1700s. The equation has the form (1-x2)y'' - 2xy' + n(n+1)y = 0, where n is a constant parameter.

2. What are Legendre polynomials?

Legendre polynomials are solutions to the Legendre equation. They are a set of orthogonal polynomials that are widely used in mathematical analysis and physics. They have the form Pn(x) = ∑k=0nakxk, where n is a non-negative integer and ak are coefficients.

3. What is the significance of Legendre polynomials?

Legendre polynomials have many important applications in mathematics and physics. They are used in solving partial differential equations, approximating functions, and in numerical analysis. They also have physical significance in areas such as quantum mechanics, electromagnetism, and celestial mechanics.

4. How are Legendre polynomials calculated?

There are several methods for calculating Legendre polynomials, including the recurrence relation method, the generating function method, and the Gram-Schmidt orthogonalization method. The recurrence relation method is the most commonly used and involves expressing Pn(x) in terms of Pn-1(x) and Pn-2(x).

5. What are some real-life applications of Legendre polynomials?

Legendre polynomials have a wide range of real-life applications. They are used in signal processing for noise reduction and filtering. In physics, they are used to describe the angular dependence of atomic orbitals and the shape of planetary orbits. In engineering, they are used in solving boundary value problems and in the design of optimal control systems. They also have applications in statistics, image processing, and computer graphics.

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