Direct method for finding formulas
Pre requisites: Calculus, College
level Algebra, Linear Algebra, and Analytic Geometry, or at least some basic
Trigonometry.
This next technique similarly
demonstrates yet another derivation of the Simpson formula, but also goes beyond classical
interpolation in that one can find through defining equations
substituted into a given formula, solutions to a given function.
So this goes as follows. Let an a
formula be written as
You may notice this being similar to
the Simpson formula except having undetermined coefficients a, b, and
c. What we do next is set up a series of linear equations by
substituting three different defining equations and solving both
sides with the given values, x = -1, 0, 1 as indicated above.
The defining equations are:
If we solve for the coefficients
through substitution here we end up with the Simpson's formula yet
again.
Demonstrating this in application.
Finding the formula for
Where the undefined coefficients are
w-1, w0, and
w1.
We construct the defining equations
similarly as in above, but the results are different.
So If you'd forgotten your integration
techniques here, I'll provide a brief refresher here in terms of
techniques. In this case we'll us a well known integration by parts
method.
For Equation (4) we have using
substitutions
For equation (5) to evaluate the left
hand side of the equation we use, integration by parts with
substitutions.
For equation (6) we use integration by
parts as we did before above,
Substituting eq.s (8) into (4), (10)
into (5), and (13) into (6), the defining equations can be written.
Now we have a set of linear equations
that can be solved via substitution (Gaussian elimination) or other preferred method.
Using substitutions, we find
Thus the given formula looks as
follows:
This will eventually lead into the another technique which is doing much the same, except using sample points as parameters. Basically, rather then using x = -1, 0, and 1 as above, we define different sample points in determining the formula for such function. I might also mention alongside this Gauss Quadrature Integration which is merely an abstraction of the method of determining formulas from sample points as parameters method...just applied in the nth case.
In case you are wondering where all the readings were taken from I'd cite credit here to Numerical methods for Scientists and Engineers, R.W. Hamming, Dover
Just recent past post is also a credit to topics considered here. Much of this could be considered supplementary to his writings.
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