SlideShare a Scribd company logo
Legendre Polynomials
   • Introduced in 1784 by the French mathematician A. M. Legendre(1752-1833).
   • We only study Legendre polynomials which are special cases of Legendre functions. See sections 4.3,
     4.7, 4.8, and 4.9 of Kreyszig.
   • Legendre functions are important in problems involving spheres or spherical coordinates. Due to their
     orthogonality properties they are also useful in numerical analysis.
   • Also known as spherical harmonics or zonal harmonics. Called Kugelfunktionen in German. ( Kugel
     = Sphere ).

   Introduction: Consider Laplace’s equation( see Kreyszig Sec. 8.8 )
                                                           2
                                                               V =0                                                      (1)

   In rectangular coordinates
                                                ∂2V   ∂2V    ∂2V
                                                  2
                                                    +    2
                                                           +      =0                                                     (2)
                                                ∂x    ∂y     ∂z 2
   In spherical coordinates

                           1 ∂            ∂V          1 ∂               ∂V         1 ∂2V
                                    r2          +               sin θ        +                =0                         (3)
                           r2 ∂r          ∂r        sin θ ∂θ            ∂θ       sin2 θ ∂φ2
    Equations (2) and (3) express exactly the same fact in different coordinates. Which one to use is a matter
of convenience. Even when spherical coordinates are more natural and equation (3) is used, equation (2)
may give some additional insight due to its greater simplicity.
    It is easy to verify that V = 1/r = 1/ x2 + y 2 + z 2 , the potential due to a point source(charge or mass),
satisfies (2) or equivalently (3). This solution is spherically symmetric. Are there solutions which depend on
θ and φ?
    One approach to create new solutions from V = 1/r is to take partial derivatives of this function with
respect to x, y, or z. In fact, since ∂/∂x, ∂/∂y, and ∂/∂z operators commute, equation (2) shows that partial
derivatives of all orders of V = 1/r also satisfy the Laplace equation. Let us consider the partial derivatives
of 1/r with respect to z. This will lead us to the Legendre polynomials. (If we consider partial derivatives
with respect to x and y, we will encounter the Associated Legendre functions.)
    Some equations relating (x, y, z) to (r, θ, φ) are,

                                                     x = r sin θ cos φ                                                   (4)

                                                     y = r sin θ sin φ                                                   (5)
                                                        z = r cos θ                                                      (6)
                                                    r2 = x2 + y 2 + z 2                                                  (7)
From (7) it follows that
                                                 ∂r    z
                                                    =                                                                    (8)
                                                 ∂z    r
   Let V = 1/r. Then the first few partial derivatives of V with respect to z are

                                   ∂V   ∂(1/r)    1 ∂r    z   cos θ
                                      =        =− 2    =− 3 =− 2
                                   ∂z     ∂z     r ∂z    r     r
                                         ∂2V      3z 2 − r2   3 cos2 θ − 1
                                            2
                                              =         5
                                                            =
                                         ∂z           r            r3
                                  ∂3V       15z 3 − 9zr2      15 cos3 θ − 9 cos θ
                                      3
                                        =−          7
                                                           =−
                                   ∂z             r                    r4
We notice that ∂ n V /∂z n is an n-th degree polynomial of cos θ divided by rn+1 . One formula which combines
all partial derivatives of V with respect to z is

                                        ∂V                1 ∂2V                          (−1)n ∂ n V
    V (x, y, z − h) = V (x, y, z) − h      (x, y, z) + h2       2
                                                                  (x, y, z) + · · · + hn             (x, y, z) + · · ·   (9)
                                        ∂z                2! ∂z                            n! ∂z n
This is just the potential due to a translation of the source, and also satisfies (2), (3).

                                                               1
Definition:                                                                             ∞
                                  1                             1                  hn Pn (cos θ)
                                                   =√                        =                              (10)
                        x2 + y 2 + (z − h)2              r2 − 2rh cos θ + h2   n=0
                                                                                       rn+1

for |h| < r. Equation (10) defines the Legendre polynomial of degree n, Pn . Comparison with (9 ) shows
that
                                         Pn (cos θ)   (−1)n ∂ n (1/r)
                                                    =                                                     (11)
                                           rn+1         n!     ∂z n
satisfies the Laplace equation. (This solution of the Laplace equation arises naturally in the study of electric
source configurations known as multipoles. So (10) is actually a multipole potential expansion. Here it
expresses the potential due to a displaced charge in terms of the potentials of multipoles at the origin. The
case n=1 is called a dipole, and the case n=2 is called a quadrupole. In general we have 2n -poles. In fluid
mechanics a doublet is akin to a dipole.) Let w = Pn (cos θ). Then substituting w/rn+1 in (3) in place of V
and simplifying we see that w = Pn (cos θ) satisfies

                                                               1 d               dw
                                       n(n + 1)w +                       sin θ        =0
                                                             sin θ dθ            dθ

Or, upon substituting t = cos θ,
                                        d                    dw
                                                 (1 − t2 )            + n(n + 1)w = 0                       (12)
                                        dt                   dt
This is known as Legendre’s differential equation. w = Pn (t) is one of two linearly independent solutions of
this equation. So far we have got the following.
  1. A definition of the Legendre polynomials Pn given by (10). We note that (11) can be considered an
     equivalent definition.
  2. A differential equation (12) which is satisfied by the Legendre polynomials.
In fact, (10) can be written as
                                                              ∞                         ∞
                  1                1                              hn Pn (cos θ)   1
                                                        =                       =       (h/r)n Pn (cos θ)
                  r   1 − 2(h/r) cos θ + (h/r)2               n=0
                                                                      rn+1        r n=0

Cancelling the 1/r factor, calling h/r as u, and cos θ as t we get the simpler-looking definition
                                                                        ∞
                                                      1
                                             √                =     un Pn (t)                               (13)
                                                 1 − 2ut + u2   n=0

The left-hand side of (13) is called the generating function of the Legendre polynomials. Many important
properties of the Legendre polynomials can be obtained from (13). We derive several of these properties
now.
   Let u = 0 in (13). Then the left-hand side is 1 and the right-hand side is P0 (t). So,

                                                       P0 (t) = 1                                          (14)
                                                             √
    Let t = 1 in (13). Then the left-hand side is 1/ 1 − 2u + u2 = 1/(1 − u) = 1 + u + u2 + · · ·. The
right-hand side is P0 (1) + uP1 (1) + u2 P2 (1) + · · ·. Comparing the coefficients of un on both sides we get,

                                                             Pn (1) = 1                                     (15)

Substituting t = −1 we can derive,
                                                      Pn (−1) = (−1)n                                       (16)

A recurrence relation: Using (11), we get
                        Pn+1 (cos θ)   (−1)n+1 ∂ n+1 (1/r)    −1 ∂                         Pn (cos θ)
                             n+2
                                     =              n+1
                                                           =
                           r           (n + 1)! ∂z           n + 1 ∂z                        rn+1

Or,
                 Pn+1 (cos θ)    −1              (n + 1)Pn (cos θ) ∂r    1 d(Pn (cos θ)) ∂(cos θ)
                              =              −                        + n+1                                 (17)
                    rn+2        n+1                    rn+2        ∂z  r      d cos θ      ∂z

                                                                  2
Now
                                            ∂r    z
                                               = = cos θ                                                (18)
                                            ∂z    r
What about ∂(cos θ)/∂z? Taking the partial derivative of both sides of (6), that is z = r cos θ, we get

                       ∂r           ∂(cos θ)                    ∂(cos θ)              ∂(cos θ)
                  1=      cos θ + r          = cos θ. cos θ + r          = cos2 θ + r
                       ∂z             ∂z                          ∂z                    ∂z
So,
                                                   ∂(cos θ)   1 − cos2 θ
                                                            =                                            (19)
                                                     ∂z           r
Using (18) and (19) in (17) we get

              Pn+1 (cos θ)    −1               (n + 1)Pn (cos θ)          1 d(Pn (cos θ)) 1 − cos2 θ
                           =               −                     cos θ + n+1
                 rn+2        n+1                     rn+2               r      d cos θ        r
Cancelling the common 1/rn+2 factor from both sides and simplifying we get

                                                                       1 − cos2 θ d(Pn (cos θ))
                            Pn+1 (cos θ) = cos θPn (cos θ) −
                                                                         n+1         d cos θ
Writing t = cos θ we get,
                                                                       1 − t2
                                           Pn+1 (t) = tPn (t) −               P (t)                      (20)
                                                                       n+1 n
where the prime( ) means differentiation with respect to the argument. (20) expresses Pn+1 in terms of
Pn and its derivative. We will use it and the differential equation for Pn to derive several other recurrence
relations later. We use P0 (t) = 1 as a starting condition. Then applying (20) repeatedly we get

                                                         P1 (t) = t                                      (21)

                                                                    3t2 − 1
                                                     P2 (t) =                                            (22)
                                                                       2
                                                                  5t3 − 3t
                                                     P3 (t) =                                            (23)
                                                                      2
                                                            35t4 − 30t2 + 3
                                                 P4 (t) =                                                (24)
                                                                   8


                                        Legendre Polynomials
                                  1 + + + + + + + + + + +
                                                      P0 (t) +
                                                      P1 (t)
                                                      P2 (t)
                                0.5                   P3 (t)
                                                      P4 (t)


                                  0


                               -0.5


                                 -1
                                      -1          -0.5        0           0.5         1
                                                              t


Even-odd symmetry: The recurrence (20) also shows that if Pn (t) is an even(odd) function of t then
Pn+1 (t) is an odd(even) function of t. Since P0 is even, it follows that Legendre polynomials of even degrees
are even functions of t, and those of odd degrees are odd functions of t.



                                                                3
1
Orthogonality: Now we prove that          Pm (t)Pn (t)dt = 0, if integers m ≥ 0 and n ≥ 0 are unequal. Let
                                                  −1
v = Pm (t) and w = Pn (t). Then by Legendre’s differential equation (12)

                                              (1 − t2 )v        + m(m + 1)v = 0                                     (25)

                                               (1 − t2 )w        + n(n + 1)w = 0                                    (26)
Now we multiply (25) by w and integrate from t = −1 to t = 1 to obtain
                                   1                                                     1
                                        (1 − t2 )v          wdt + m(m + 1)                   vwdt = 0
                                −1                                                  −1

Integrating the first integral by parts we get,
                                                   1                                                 1
                                        1
                        (1 − t2 )v w    −1
                                              −        (1 − t2 )v w dt + m(m + 1)                        vwdt = 0
                                                  −1                                                −1

But since (1 − t2 ) is zero both at t = −1 and t = 1 this becomes,
                                       1                                             1
                               −            (1 − t2 )v w dt + m(m + 1)                       vwdt = 0               (27)
                                       −1                                           −1

In exactly the same way we can multiply (26) by v and integrate from t = −1 to t = 1 to obtain
                                        1                                           1
                                −           (1 − t2 )v w dt + n(n + 1)                   vwdt = 0                   (28)
                                       −1                                           −1

Subtracting (28) from (27) we get
                                                                               1
                                        (m(m + 1) − n(n + 1))                      vwdt = 0
                                                                            −1

Or, since v = Pm (t) and w = Pn (t)
                                                                      1
                                (m(m + 1) − n(n + 1))                      Pm (t)Pn (t)dt = 0
                                                                      −1

This gives the orthogonality relationship:
                                                       1
                                                            Pm (t)Pn (t)dt = 0                                      (29)
                                                       −1

for m = n, and m ≥ 0, n ≥ 0. This is a very important property of the Legendre polynomials.
                    1   2
    To determine −1 Pn (t)dt we square (13) and integrate from t = −1 to t = 1. Due to orthogonality only
                               2
the integrals of terms having Pn (t) survive on the right-hand side. So we get
                                       1                              ∞              1
                                                 1
                                                         dt =     u2n                     2
                                                                                         Pn (t)dt
                                       −1   1 − 2ut + u2      n=0                   −1


Or,
                                                       ∞                   ∞                 1
                               1 1+u        2u2n
                                ln    =          =    u2n                                         2
                                                                                                 Pn (t)dt
                               u 1 − u n=0 2n + 1 n=0                                    −1

Comparing coefficients of u2n we get
                                                       1
                                                             2              2
                                                            Pn (t)dt =                                              (30)
                                                       −1                 2n + 1

More recurrences: Rearranging (20) we get
                                   (1 − t2 )Pn (t) = (n + 1)(tPn (t) − Pn+1 (t))                                    (31)



                                                                  4
Differentiating both sides of (20) with respect to t and using the fact(from (12)) that ((1 − t2 )Pn (t)) =
−n(n + 1)Pn (t) we get after some simplification

                                         Pn+1 (t) = (n + 1)Pn (t) + tPn (t)                                 (32)
Multiplying both sides of (32) by (1 − t2 ) we get

                            (1 − t2 )Pn+1 (t) = (n + 1)(1 − t2 )Pn (t) + t(1 − t2 )Pn (t)

But since by (31) (1 − t2 )Pn (t) = (n + 1)(tPn (t) − Pn+1 (t))

                     (1 − t2 )Pn+1 (t) = (n + 1)(1 − t2 )Pn (t) + t(n + 1)(tPn (t) − Pn+1 (t))
On simplification we get
                                  (1 − t2 )Pn+1 (t) = (n + 1)(Pn (t) − tPn+1 (t))                           (33)
Rearranging (33) we get
                                                               (1 − t2 )
                                       Pn (t) = tPn+1 (t) +              P (t)                              (34)
                                                                n + 1 n+1
If in (33) we decrement n by 1 we get

                                       (1 − t2 )Pn (t) = n(Pn−1 (t) − tPn (t))                              (35)
Comparing (31) and (35) we get
                                n(Pn−1 (t) − tPn (t)) = (n + 1)(tPn (t) − Pn+1 (t))
On simplification this gives Bonnet’s recursion formula.
                                  (n + 1)Pn+1 (t) = (2n + 1)tPn (t) − nPn−1 (t)                             (36)
Since this formula involves no derivatives it is much used in programs to compute the Legendre polynomials.
One usually starts with P0 (t) = 1 and P1 (t) = t.

Location and interlacing of zeros: Plotting Pn (t) for the first few values of n we see that:
  1. Between two consecutive zeros of Pn+1 (t) there is one of Pn (t).
  2. Between two consecutive zeros of Pn (t) there is one of Pn+1 (t). Between the smallest zero of Pn (t) and
     −1 there is one zero of Pn+1 (t). Between the largest zero of Pn (t) and +1 there is one zero of Pn+1 (t).
  3. All n zeros of Pn (t) lie in −1 < t < 1.
These statements, which are of great use in the numerical calculation of the zeros of Pn (t), may be proved
using the recurrence relationships derived earlier. A rough sketch of these proofs follows.
   To prove the first statement we multiply both sides of (34) by (n + 1)/(1 − t2 )(n+3)/2 to obtain

                               (n + 1)Pn (t)      (n + 1)tPn+1 (t)        Pn+1 (t)
                                     2 )(n+3)/2
                                                =         2 )(n+3)/2
                                                                     +
                              (1 − t               (1 − t              (1 − t2 )(n+1)/2
Or,
                                       (n + 1)Pn (t)              Pn+1 (t)
                                                       =                                                    (37)
                                      (1 − t2 )(n+3)/2         (1 − t2 )(n+1)/2
By Rolle’s theorem the first statement follows.
   We multiply both sides of (20) by (n + 1)(1 − t2 )(n−1)/2 to obtain

             (n + 1)(1 − t2 )(n−1)/2 Pn+1 (t) = (n + 1)t(1 − t2 )(n−1)/2 Pn (t) − (1 − t2 )(n+1)/2 Pn (t)
Or,
                           (n + 1)(1 − t2 )(n−1)/2 Pn+1 (t) = (−(1 − t2 )(n+1)/2 Pn (t))                    (38)
                                                               2 (n+1)/2
So, by Rolle’s theorem between two zeros of −(1 − t )               Pn (t) there is at least one of (n + 1)(1 −
t2 )(n−1)/2 Pn+1 (t). But the first function is zero when Pn (t) is zero or when t = −1 or t = +1. This proves
the second statement about the zeros mentioned above. It follows that if Pn (t) has n zeros in (−1, 1), then
Pn+1 (t) has n + 1 zeros in (−1, 1). But it is known that P1 (t), which equals t, has one zero in (−1, 1). Then
using the method of mathematical induction we can prove that Pn (t) has n zeros in (−1, 1) for all integral
n ≥ 0. This proves the third statement.


                                                           5

More Related Content

What's hot (20)

Partial Differential Equation - Notes
Partial Differential Equation - NotesPartial Differential Equation - Notes
Partial Differential Equation - Notes
 
mathematics formulas
mathematics formulasmathematics formulas
mathematics formulas
 
Calculus of variation problems
Calculus of variation   problemsCalculus of variation   problems
Calculus of variation problems
 
Imc2017 day1-solutions
Imc2017 day1-solutionsImc2017 day1-solutions
Imc2017 day1-solutions
 
Complex analysis and differential equation
Complex analysis and differential equationComplex analysis and differential equation
Complex analysis and differential equation
 
Chapter 4 (maths 3)
Chapter 4 (maths 3)Chapter 4 (maths 3)
Chapter 4 (maths 3)
 
Maths assignment
Maths assignmentMaths assignment
Maths assignment
 
Chapter 2 (maths 3)
Chapter 2 (maths 3)Chapter 2 (maths 3)
Chapter 2 (maths 3)
 
Interpolation with Finite differences
Interpolation with Finite differencesInterpolation with Finite differences
Interpolation with Finite differences
 
C3 Transformations
C3 TransformationsC3 Transformations
C3 Transformations
 
Ch05 7
Ch05 7Ch05 7
Ch05 7
 
Partial differential equations
Partial differential equationsPartial differential equations
Partial differential equations
 
exponen dan logaritma
exponen dan logaritmaexponen dan logaritma
exponen dan logaritma
 
Mech MA6351 tpde_notes
Mech MA6351 tpde_notes Mech MA6351 tpde_notes
Mech MA6351 tpde_notes
 
NODDEA2012_VANKOVA
NODDEA2012_VANKOVANODDEA2012_VANKOVA
NODDEA2012_VANKOVA
 
maths
maths maths
maths
 
Lesson 11: Limits and Continuity
Lesson 11: Limits and ContinuityLesson 11: Limits and Continuity
Lesson 11: Limits and Continuity
 
Complex varible
Complex varibleComplex varible
Complex varible
 
Improper integral
Improper integralImproper integral
Improper integral
 
How to Solve a Partial Differential Equation on a surface
How to Solve a Partial Differential Equation on a surfaceHow to Solve a Partial Differential Equation on a surface
How to Solve a Partial Differential Equation on a surface
 

Viewers also liked

Legendre's eqaution
Legendre's eqautionLegendre's eqaution
Legendre's eqautionSachin Patel
 
Higher order ODE with applications
Higher order ODE with applicationsHigher order ODE with applications
Higher order ODE with applicationsPratik Gadhiya
 
Metric tensor in general relativity
Metric tensor in general relativityMetric tensor in general relativity
Metric tensor in general relativityHalo Anwar
 
Bessel’s equation
Bessel’s equationBessel’s equation
Bessel’s equationkishor pokar
 
Practical Applications of Bessel's function
Practical Applications of Bessel's functionPractical Applications of Bessel's function
Practical Applications of Bessel's functionOneirosErebus
 
Application of differential equation in real life
Application of differential equation in real   lifeApplication of differential equation in real   life
Application of differential equation in real lifeTanjil Hasan
 
Ode powerpoint presentation1
Ode powerpoint presentation1Ode powerpoint presentation1
Ode powerpoint presentation1Pokkarn Narkhede
 

Viewers also liked (10)

Legendre's eqaution
Legendre's eqautionLegendre's eqaution
Legendre's eqaution
 
Higher order ODE with applications
Higher order ODE with applicationsHigher order ODE with applications
Higher order ODE with applications
 
Metric tensor in general relativity
Metric tensor in general relativityMetric tensor in general relativity
Metric tensor in general relativity
 
3. tensor calculus jan 2013
3. tensor calculus jan 20133. tensor calculus jan 2013
3. tensor calculus jan 2013
 
Bessel’s equation
Bessel’s equationBessel’s equation
Bessel’s equation
 
Practical Applications of Bessel's function
Practical Applications of Bessel's functionPractical Applications of Bessel's function
Practical Applications of Bessel's function
 
Application of differential equation in real life
Application of differential equation in real   lifeApplication of differential equation in real   life
Application of differential equation in real life
 
Ode powerpoint presentation1
Ode powerpoint presentation1Ode powerpoint presentation1
Ode powerpoint presentation1
 
Numerical Methods 1
Numerical Methods 1Numerical Methods 1
Numerical Methods 1
 
Special functions
Special functionsSpecial functions
Special functions
 

Similar to Legendre

Change of variables in double integrals
Change of variables in double integralsChange of variables in double integrals
Change of variables in double integralsTarun Gehlot
 
Change of variables in double integrals
Change of variables in double integralsChange of variables in double integrals
Change of variables in double integralsTarun Gehlot
 
[Vvedensky d.] group_theory,_problems_and_solution(book_fi.org)
[Vvedensky d.] group_theory,_problems_and_solution(book_fi.org)[Vvedensky d.] group_theory,_problems_and_solution(book_fi.org)
[Vvedensky d.] group_theory,_problems_and_solution(book_fi.org)Dabe Milli
 
Example triple integral
Example triple integralExample triple integral
Example triple integralZulaikha Ahmad
 
R. Jimenez - Fundamental Physics from Astronomical Observations
R. Jimenez - Fundamental Physics from Astronomical ObservationsR. Jimenez - Fundamental Physics from Astronomical Observations
R. Jimenez - Fundamental Physics from Astronomical ObservationsSEENET-MTP
 
Reflect tsukuba524
Reflect tsukuba524Reflect tsukuba524
Reflect tsukuba524kazuhase2011
 
Lesson 16: Implicit Differentiation
Lesson 16: Implicit DifferentiationLesson 16: Implicit Differentiation
Lesson 16: Implicit DifferentiationMatthew Leingang
 
Exponentials integrals
Exponentials integralsExponentials integrals
Exponentials integralsTarun Gehlot
 
Dsp U Lec05 The Z Transform
Dsp U   Lec05 The Z TransformDsp U   Lec05 The Z Transform
Dsp U Lec05 The Z Transformtaha25
 
Geometric properties for parabolic and elliptic pde
Geometric properties for parabolic and elliptic pdeGeometric properties for parabolic and elliptic pde
Geometric properties for parabolic and elliptic pdeSpringer
 
Dynamical systems solved ex
Dynamical systems solved exDynamical systems solved ex
Dynamical systems solved exMaths Tutoring
 

Similar to Legendre (20)

Change of variables in double integrals
Change of variables in double integralsChange of variables in double integrals
Change of variables in double integrals
 
Change of variables in double integrals
Change of variables in double integralsChange of variables in double integrals
Change of variables in double integrals
 
[Vvedensky d.] group_theory,_problems_and_solution(book_fi.org)
[Vvedensky d.] group_theory,_problems_and_solution(book_fi.org)[Vvedensky d.] group_theory,_problems_and_solution(book_fi.org)
[Vvedensky d.] group_theory,_problems_and_solution(book_fi.org)
 
Example triple integral
Example triple integralExample triple integral
Example triple integral
 
R. Jimenez - Fundamental Physics from Astronomical Observations
R. Jimenez - Fundamental Physics from Astronomical ObservationsR. Jimenez - Fundamental Physics from Astronomical Observations
R. Jimenez - Fundamental Physics from Astronomical Observations
 
Matrix calculus
Matrix calculusMatrix calculus
Matrix calculus
 
Sol87
Sol87Sol87
Sol87
 
Sol87
Sol87Sol87
Sol87
 
Reflect tsukuba524
Reflect tsukuba524Reflect tsukuba524
Reflect tsukuba524
 
Lesson 16: Implicit Differentiation
Lesson 16: Implicit DifferentiationLesson 16: Implicit Differentiation
Lesson 16: Implicit Differentiation
 
Fourier series
Fourier seriesFourier series
Fourier series
 
Fourier series
Fourier seriesFourier series
Fourier series
 
Monopole zurich
Monopole zurichMonopole zurich
Monopole zurich
 
Funcion gamma
Funcion gammaFuncion gamma
Funcion gamma
 
Exponentials integrals
Exponentials integralsExponentials integrals
Exponentials integrals
 
Contour
ContourContour
Contour
 
Complex varible
Complex varibleComplex varible
Complex varible
 
Dsp U Lec05 The Z Transform
Dsp U   Lec05 The Z TransformDsp U   Lec05 The Z Transform
Dsp U Lec05 The Z Transform
 
Geometric properties for parabolic and elliptic pde
Geometric properties for parabolic and elliptic pdeGeometric properties for parabolic and elliptic pde
Geometric properties for parabolic and elliptic pde
 
Dynamical systems solved ex
Dynamical systems solved exDynamical systems solved ex
Dynamical systems solved ex
 

Legendre

  • 1. Legendre Polynomials • Introduced in 1784 by the French mathematician A. M. Legendre(1752-1833). • We only study Legendre polynomials which are special cases of Legendre functions. See sections 4.3, 4.7, 4.8, and 4.9 of Kreyszig. • Legendre functions are important in problems involving spheres or spherical coordinates. Due to their orthogonality properties they are also useful in numerical analysis. • Also known as spherical harmonics or zonal harmonics. Called Kugelfunktionen in German. ( Kugel = Sphere ). Introduction: Consider Laplace’s equation( see Kreyszig Sec. 8.8 ) 2 V =0 (1) In rectangular coordinates ∂2V ∂2V ∂2V 2 + 2 + =0 (2) ∂x ∂y ∂z 2 In spherical coordinates 1 ∂ ∂V 1 ∂ ∂V 1 ∂2V r2 + sin θ + =0 (3) r2 ∂r ∂r sin θ ∂θ ∂θ sin2 θ ∂φ2 Equations (2) and (3) express exactly the same fact in different coordinates. Which one to use is a matter of convenience. Even when spherical coordinates are more natural and equation (3) is used, equation (2) may give some additional insight due to its greater simplicity. It is easy to verify that V = 1/r = 1/ x2 + y 2 + z 2 , the potential due to a point source(charge or mass), satisfies (2) or equivalently (3). This solution is spherically symmetric. Are there solutions which depend on θ and φ? One approach to create new solutions from V = 1/r is to take partial derivatives of this function with respect to x, y, or z. In fact, since ∂/∂x, ∂/∂y, and ∂/∂z operators commute, equation (2) shows that partial derivatives of all orders of V = 1/r also satisfy the Laplace equation. Let us consider the partial derivatives of 1/r with respect to z. This will lead us to the Legendre polynomials. (If we consider partial derivatives with respect to x and y, we will encounter the Associated Legendre functions.) Some equations relating (x, y, z) to (r, θ, φ) are, x = r sin θ cos φ (4) y = r sin θ sin φ (5) z = r cos θ (6) r2 = x2 + y 2 + z 2 (7) From (7) it follows that ∂r z = (8) ∂z r Let V = 1/r. Then the first few partial derivatives of V with respect to z are ∂V ∂(1/r) 1 ∂r z cos θ = =− 2 =− 3 =− 2 ∂z ∂z r ∂z r r ∂2V 3z 2 − r2 3 cos2 θ − 1 2 = 5 = ∂z r r3 ∂3V 15z 3 − 9zr2 15 cos3 θ − 9 cos θ 3 =− 7 =− ∂z r r4 We notice that ∂ n V /∂z n is an n-th degree polynomial of cos θ divided by rn+1 . One formula which combines all partial derivatives of V with respect to z is ∂V 1 ∂2V (−1)n ∂ n V V (x, y, z − h) = V (x, y, z) − h (x, y, z) + h2 2 (x, y, z) + · · · + hn (x, y, z) + · · · (9) ∂z 2! ∂z n! ∂z n This is just the potential due to a translation of the source, and also satisfies (2), (3). 1
  • 2. Definition: ∞ 1 1 hn Pn (cos θ) =√ = (10) x2 + y 2 + (z − h)2 r2 − 2rh cos θ + h2 n=0 rn+1 for |h| < r. Equation (10) defines the Legendre polynomial of degree n, Pn . Comparison with (9 ) shows that Pn (cos θ) (−1)n ∂ n (1/r) = (11) rn+1 n! ∂z n satisfies the Laplace equation. (This solution of the Laplace equation arises naturally in the study of electric source configurations known as multipoles. So (10) is actually a multipole potential expansion. Here it expresses the potential due to a displaced charge in terms of the potentials of multipoles at the origin. The case n=1 is called a dipole, and the case n=2 is called a quadrupole. In general we have 2n -poles. In fluid mechanics a doublet is akin to a dipole.) Let w = Pn (cos θ). Then substituting w/rn+1 in (3) in place of V and simplifying we see that w = Pn (cos θ) satisfies 1 d dw n(n + 1)w + sin θ =0 sin θ dθ dθ Or, upon substituting t = cos θ, d dw (1 − t2 ) + n(n + 1)w = 0 (12) dt dt This is known as Legendre’s differential equation. w = Pn (t) is one of two linearly independent solutions of this equation. So far we have got the following. 1. A definition of the Legendre polynomials Pn given by (10). We note that (11) can be considered an equivalent definition. 2. A differential equation (12) which is satisfied by the Legendre polynomials. In fact, (10) can be written as ∞ ∞ 1 1 hn Pn (cos θ) 1 = = (h/r)n Pn (cos θ) r 1 − 2(h/r) cos θ + (h/r)2 n=0 rn+1 r n=0 Cancelling the 1/r factor, calling h/r as u, and cos θ as t we get the simpler-looking definition ∞ 1 √ = un Pn (t) (13) 1 − 2ut + u2 n=0 The left-hand side of (13) is called the generating function of the Legendre polynomials. Many important properties of the Legendre polynomials can be obtained from (13). We derive several of these properties now. Let u = 0 in (13). Then the left-hand side is 1 and the right-hand side is P0 (t). So, P0 (t) = 1 (14) √ Let t = 1 in (13). Then the left-hand side is 1/ 1 − 2u + u2 = 1/(1 − u) = 1 + u + u2 + · · ·. The right-hand side is P0 (1) + uP1 (1) + u2 P2 (1) + · · ·. Comparing the coefficients of un on both sides we get, Pn (1) = 1 (15) Substituting t = −1 we can derive, Pn (−1) = (−1)n (16) A recurrence relation: Using (11), we get Pn+1 (cos θ) (−1)n+1 ∂ n+1 (1/r) −1 ∂ Pn (cos θ) n+2 = n+1 = r (n + 1)! ∂z n + 1 ∂z rn+1 Or, Pn+1 (cos θ) −1 (n + 1)Pn (cos θ) ∂r 1 d(Pn (cos θ)) ∂(cos θ) = − + n+1 (17) rn+2 n+1 rn+2 ∂z r d cos θ ∂z 2
  • 3. Now ∂r z = = cos θ (18) ∂z r What about ∂(cos θ)/∂z? Taking the partial derivative of both sides of (6), that is z = r cos θ, we get ∂r ∂(cos θ) ∂(cos θ) ∂(cos θ) 1= cos θ + r = cos θ. cos θ + r = cos2 θ + r ∂z ∂z ∂z ∂z So, ∂(cos θ) 1 − cos2 θ = (19) ∂z r Using (18) and (19) in (17) we get Pn+1 (cos θ) −1 (n + 1)Pn (cos θ) 1 d(Pn (cos θ)) 1 − cos2 θ = − cos θ + n+1 rn+2 n+1 rn+2 r d cos θ r Cancelling the common 1/rn+2 factor from both sides and simplifying we get 1 − cos2 θ d(Pn (cos θ)) Pn+1 (cos θ) = cos θPn (cos θ) − n+1 d cos θ Writing t = cos θ we get, 1 − t2 Pn+1 (t) = tPn (t) − P (t) (20) n+1 n where the prime( ) means differentiation with respect to the argument. (20) expresses Pn+1 in terms of Pn and its derivative. We will use it and the differential equation for Pn to derive several other recurrence relations later. We use P0 (t) = 1 as a starting condition. Then applying (20) repeatedly we get P1 (t) = t (21) 3t2 − 1 P2 (t) = (22) 2 5t3 − 3t P3 (t) = (23) 2 35t4 − 30t2 + 3 P4 (t) = (24) 8 Legendre Polynomials 1 + + + + + + + + + + + P0 (t) + P1 (t) P2 (t) 0.5 P3 (t) P4 (t) 0 -0.5 -1 -1 -0.5 0 0.5 1 t Even-odd symmetry: The recurrence (20) also shows that if Pn (t) is an even(odd) function of t then Pn+1 (t) is an odd(even) function of t. Since P0 is even, it follows that Legendre polynomials of even degrees are even functions of t, and those of odd degrees are odd functions of t. 3
  • 4. 1 Orthogonality: Now we prove that Pm (t)Pn (t)dt = 0, if integers m ≥ 0 and n ≥ 0 are unequal. Let −1 v = Pm (t) and w = Pn (t). Then by Legendre’s differential equation (12) (1 − t2 )v + m(m + 1)v = 0 (25) (1 − t2 )w + n(n + 1)w = 0 (26) Now we multiply (25) by w and integrate from t = −1 to t = 1 to obtain 1 1 (1 − t2 )v wdt + m(m + 1) vwdt = 0 −1 −1 Integrating the first integral by parts we get, 1 1 1 (1 − t2 )v w −1 − (1 − t2 )v w dt + m(m + 1) vwdt = 0 −1 −1 But since (1 − t2 ) is zero both at t = −1 and t = 1 this becomes, 1 1 − (1 − t2 )v w dt + m(m + 1) vwdt = 0 (27) −1 −1 In exactly the same way we can multiply (26) by v and integrate from t = −1 to t = 1 to obtain 1 1 − (1 − t2 )v w dt + n(n + 1) vwdt = 0 (28) −1 −1 Subtracting (28) from (27) we get 1 (m(m + 1) − n(n + 1)) vwdt = 0 −1 Or, since v = Pm (t) and w = Pn (t) 1 (m(m + 1) − n(n + 1)) Pm (t)Pn (t)dt = 0 −1 This gives the orthogonality relationship: 1 Pm (t)Pn (t)dt = 0 (29) −1 for m = n, and m ≥ 0, n ≥ 0. This is a very important property of the Legendre polynomials. 1 2 To determine −1 Pn (t)dt we square (13) and integrate from t = −1 to t = 1. Due to orthogonality only 2 the integrals of terms having Pn (t) survive on the right-hand side. So we get 1 ∞ 1 1 dt = u2n 2 Pn (t)dt −1 1 − 2ut + u2 n=0 −1 Or, ∞ ∞ 1 1 1+u 2u2n ln = = u2n 2 Pn (t)dt u 1 − u n=0 2n + 1 n=0 −1 Comparing coefficients of u2n we get 1 2 2 Pn (t)dt = (30) −1 2n + 1 More recurrences: Rearranging (20) we get (1 − t2 )Pn (t) = (n + 1)(tPn (t) − Pn+1 (t)) (31) 4
  • 5. Differentiating both sides of (20) with respect to t and using the fact(from (12)) that ((1 − t2 )Pn (t)) = −n(n + 1)Pn (t) we get after some simplification Pn+1 (t) = (n + 1)Pn (t) + tPn (t) (32) Multiplying both sides of (32) by (1 − t2 ) we get (1 − t2 )Pn+1 (t) = (n + 1)(1 − t2 )Pn (t) + t(1 − t2 )Pn (t) But since by (31) (1 − t2 )Pn (t) = (n + 1)(tPn (t) − Pn+1 (t)) (1 − t2 )Pn+1 (t) = (n + 1)(1 − t2 )Pn (t) + t(n + 1)(tPn (t) − Pn+1 (t)) On simplification we get (1 − t2 )Pn+1 (t) = (n + 1)(Pn (t) − tPn+1 (t)) (33) Rearranging (33) we get (1 − t2 ) Pn (t) = tPn+1 (t) + P (t) (34) n + 1 n+1 If in (33) we decrement n by 1 we get (1 − t2 )Pn (t) = n(Pn−1 (t) − tPn (t)) (35) Comparing (31) and (35) we get n(Pn−1 (t) − tPn (t)) = (n + 1)(tPn (t) − Pn+1 (t)) On simplification this gives Bonnet’s recursion formula. (n + 1)Pn+1 (t) = (2n + 1)tPn (t) − nPn−1 (t) (36) Since this formula involves no derivatives it is much used in programs to compute the Legendre polynomials. One usually starts with P0 (t) = 1 and P1 (t) = t. Location and interlacing of zeros: Plotting Pn (t) for the first few values of n we see that: 1. Between two consecutive zeros of Pn+1 (t) there is one of Pn (t). 2. Between two consecutive zeros of Pn (t) there is one of Pn+1 (t). Between the smallest zero of Pn (t) and −1 there is one zero of Pn+1 (t). Between the largest zero of Pn (t) and +1 there is one zero of Pn+1 (t). 3. All n zeros of Pn (t) lie in −1 < t < 1. These statements, which are of great use in the numerical calculation of the zeros of Pn (t), may be proved using the recurrence relationships derived earlier. A rough sketch of these proofs follows. To prove the first statement we multiply both sides of (34) by (n + 1)/(1 − t2 )(n+3)/2 to obtain (n + 1)Pn (t) (n + 1)tPn+1 (t) Pn+1 (t) 2 )(n+3)/2 = 2 )(n+3)/2 + (1 − t (1 − t (1 − t2 )(n+1)/2 Or, (n + 1)Pn (t) Pn+1 (t) = (37) (1 − t2 )(n+3)/2 (1 − t2 )(n+1)/2 By Rolle’s theorem the first statement follows. We multiply both sides of (20) by (n + 1)(1 − t2 )(n−1)/2 to obtain (n + 1)(1 − t2 )(n−1)/2 Pn+1 (t) = (n + 1)t(1 − t2 )(n−1)/2 Pn (t) − (1 − t2 )(n+1)/2 Pn (t) Or, (n + 1)(1 − t2 )(n−1)/2 Pn+1 (t) = (−(1 − t2 )(n+1)/2 Pn (t)) (38) 2 (n+1)/2 So, by Rolle’s theorem between two zeros of −(1 − t ) Pn (t) there is at least one of (n + 1)(1 − t2 )(n−1)/2 Pn+1 (t). But the first function is zero when Pn (t) is zero or when t = −1 or t = +1. This proves the second statement about the zeros mentioned above. It follows that if Pn (t) has n zeros in (−1, 1), then Pn+1 (t) has n + 1 zeros in (−1, 1). But it is known that P1 (t), which equals t, has one zero in (−1, 1). Then using the method of mathematical induction we can prove that Pn (t) has n zeros in (−1, 1) for all integral n ≥ 0. This proves the third statement. 5