# Linear Methods of Applied Mathematics Legendre polynomials

This is an evaluated Mathematica notebook. If you have Mathematica or MathReader (which is available free from WRI, you may download the notebook file. This notebook contains some Mathematica calculations for chapter 2, The Geometry of Functions, of Harrell's WWW textbook.

This is an executed Mathematica notebook, which can be read with MathReader. If you are reading it with Mathematica, you may find it instructive to modify the inputs and see what results.

In this notebook we take a graphical look at approximating functions. We have learned that the r.m.s. distance between two functions defined on an interval a ¾ x ¾ b is

In[2]:=

```  RMSDist[f_,g_,a_,b_] \
:= Sqrt[Integrate[(f - g)^2, \
{x,a,b}]]```

The RMS norm of a single function f could be obtained with the command
RMSDist[f,0,a,b].

In[3]:=

`  RMSDist[1, Cos[Pi x/2], -1,1]`

Out[3]=

```       -(8 - 3 Pi)   -8 + 3 Pi
Sqrt[----------- + ---------]
2 Pi         2 Pi
```

In[4]:=

`  N[%]`

Out[4]=

```  0.67344
```

What is the constant which is most like the cosine? 1/2? 1/4? Let's first check some values?

In[5]:=

```  {N[RMSDist[1/2,Cos[Pi x/2], -1,1]],
N[RMSDist[1/4,Cos[Pi x/2], -1,1]],
N[RMSDist[-1,Cos[Pi x/2],  -1,1]]}```

Out[5]=

```  {0.476194, 0.698842, 2.3551}
```

In[6]:=

`  Plot[{Cos[Pi x/2], 1,1/2,-1}, {x, -1,1}]`

Out[7]=

```  -Graphics-
```

The closest constant to Cos[Pi x/2] would be, geometrically speaking, the projection of the sine onto the direction of the constant functions, or, as we have defined it in the notes,

In[8]:=

```  Projf[f_,g_,a_,b_] \
:= g[x] Integrate[f[t] g[t] , {t,a,b}] \
/ Integrate[g[t]^2, {t,a,b}]```

In[9]:=

```  f[x_] := Cos[Pi x/2]
One[x_] := 1
Projf[f,One,-1,1]```

Out[9]=

```  2
--
Pi
```

In[10]:=

`  N[RMSDist[2/Pi,Cos[Pi x/2], -1,1]]`

Out[10]=

```  0.435236
```

In[11]:=

`  Plot[{2/Pi,Cos[Pi x/2]}, {x,-1,1}]`

Out[12]=

```  -Graphics-
```

We ought to do a better job of approximating Cos[Pi x/2] with a polynomial of 3rd or 4th degree. You may initially think of the Taylor series at x = 0, and wish regard Sin[x] as close to 0 + x + 0 - x^3/6. Or you might try the Taylor series at x= Pi, which is built into Mathematica in the Series command.

In[13]:=

`  Series[Cos[Pi x/2], {x, 0, 3}]`

Out[13]=

```        2  2
Pi  x        4
1 - ------ + O[x]
8
```

In[14]:=

`  Plot[{1-(Pi x)^2 /8, Cos[Pi x/2]}, {x,-1,1}]`

Out[15]=

```  -Graphics-
```

In[16]:=

`  N[RMSDist[1-(Pi x)^2 /8, Cos[Pi x/2], -1,1]]`

Out[16]=

```  0.111836
```

Perhaps it is surprising to learn that there are other polynomial expressions which do a much better job of approximating a function such as the sine than does the Taylor series about any point. They are called the Legendre polynomials

In[17]:=

```  P0[x_] := LegendreP[0,x]
P1[x_] := LegendreP[1,x]
P2[x_] := LegendreP[2,x]
P3[x_] := LegendreP[3,x]```

In[18]:=

```
Projf[f, P0, -1,1]```

Out[18]=

```  2
--
Pi
```

In[19]:=

```
Projf[f, P2, -1,1]```

Out[19]=

```                2              2
24 - 2 Pi     -24 + 2 Pi            2
5 (-(----------) + -----```