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Suppose that we are given a data set
.
Let us assume that these are interpolating points of Newton form
of interpolating polynomial
of degree
i.e
 |
(1) |
The Newton form of the interpolating polynomial
is
given by
 |
(2) |
For i=0, from (1)-(2) we get
 |
(3.1) |
For
from (1)-(2) we get
 |
(3.2) |
For i=2 from(1)-(2) We get
using (3.1)-(3.2), we get
![$\displaystyle a_{2}=\frac{[(f_{2}-f_{1})/(x_{2}-x_{1})]-[(f_{1}-f_{0})/(x_{1}-x_{0})]}{(x_{2}-x_{0})}$](img121.png) |
(3.3) |
Similarly we can find
. To express
in a compact manner let us first define the
following notation called divided differences:
![$\displaystyle f[x_{k}]=f_{k}$](img124.png) |
(4.1) |
![$\displaystyle \hspace{0.5in}f[x_{k},x_{k+1}]=\frac{f[x_{k+1}]-f[x_{k}]}{x_{k+1}-x_{k}}$](img125.png) |
(4.2) |
![$\displaystyle \hspace{0.9in}f[x_{k},x_{k+1},x_{k+2}]=\frac{f[x_{k+1},x_{k+2}]-f[x_{k},x_{k+1}]}{x_{k+2}-x_{k}}$](img126.png) |
(4.3) |
![$\displaystyle \hspace{0.5in}f[x_{k},x_{k-1}....x_{i},x_{i+1}]=\frac{f[x_{k+1}...x_{i+1}]-f[x_{k}...x_{i}]}{x_{i+1}-x_{k}}$](img127.png) |
(4.4) |
Now the co-efficients
can be expressed in
terms of divided differences as fellows:
![$\displaystyle a_{0}=f_{0}=f[x_{0}]$](img129.png) |
(5.1) |
![$\displaystyle a_{1}=\frac{f_{1}-f_{0}}{x_{1}-x_{0}}=f[x_{1},x_{0}]$](img130.png) |
(5.2) |
![$\displaystyle =f[x_{0},x_{1},x_{2}]$](img132.png) |
(5.3) |
![$\displaystyle a_{n}=f[x_{0},x_{1}...x_{n}]$](img133.png) |
(5.4) |
Note that
is called as the first divided difference,
as the second divided difference and so on. Now the
polynomial (2) can be rewritten as:
i.e.![$\displaystyle \hspace{1in}p_{n}(x)=\sum\limits_{k=0}^{n}f[x_{0}......x_{k}]\prod\limits_{i=0}^{k-1}(x-x_{i})$](img137.png) |
(6) |
This is called as Newton's Divided Difference
interpolation polynomial.
Example:
Given the following data table, evaluate
using
order Newton's Divided Difference interpolation polynomial.
i |
0 |
1 |
2 |
3 |
4 |
 |
0 |
1 |
2 |
3 |
4 |
 |
1 |
2.25 |
3.75 |
4.25 |
5.81 |
Solution:
Here
. For constructing
order
Newton Divided Difference polynomial we need only four points. Let
us use the first four points. The
Newton Divided
Difference polynomial is given by:
In this example it may be noted that for calculating the
order polynomial, we first start with
. To it we
add
to get
and to
we add
to get
. Finally on adding
to
we get
.
Some remarks on the Error in the interpolation
approach:
Suppose that the given data points
,
correspond to a real valued function
defined on the
internal
. Let
be the interpolating polynomial
of degree
. Then the interpolation error
due to
interpolation by
is given by
 |
(6.2) |
An estimate of the error is provided in the following theorem.
Theorem: Let
be a real-valued function define on
and
times differentiable on
If
is the polynomial of degree
which interpolates
at
the (n+1) distinct points
, then for
all
, there exits
 |
(6.3) |
Note:
i)
i.e.
depends on
the
point
at which the error estimate is required.
ii) since
i.e.
derivative is seldom
known the error formula
in the above theorem is of limited
practical value. But when a bound on
is known over
the entire internal
, then the formula
may be used
to get a bound on the interpolation error.
Next: (2.2.2)Newton Divided Difference Table:
Up: Curve Fitting : Interpolation,
Previous: Lagrange Interpolation:
root
2006-02-14