INT_EXACTNESS_LAGUERRE
Exactness of Gauss-Laguerre Quadrature Rules


INT_EXACTNESS_LAGUERRE is a MATLAB program which investigates the polynomial exactness of a Gauss-Laguerre quadrature rule for the semi-infinite interval [0,+oo) or [A,+oo).

Standard Gauss-Laguerre quadrature assumes that the integrand we are considering has a form like:

        Integral ( A <= x < +oo ) exp(-x) f(x) dx
      
where the factor exp(-x) is regarded as a weight factor.

A standard Gauss-Laguerre quadrature rule is a set of n positive weights w and abscissas x so that

        Integral ( A <= x < +oo ) exp(-x) f(x) dx
      
may be approximated by
        Sum ( 1 <= I <= N ) w(i) * f(x(i))
      

It is often convenient to consider approximating integrals in which the weighting factor exp(-x) is implicit. In that case, we are looking at approximating

        Integral ( A <= x < +oo ) f(x) dx
      
and it is easy to modify a standard Gauss-Laguerre quadrature rule to handle this case directly.

A modified Gauss-Laguerre quadrature rule is a set of n positive weights w and abscissas x so that

        Integral ( A <= x < +oo ) f(x) dx
      
may be approximated by
        Sum ( 1 <= I <= N ) w(i) * f(x(i))
      

When using a Gauss-Laguerre quadrature rule, it's important to know whether the rule has been developed for the standard or modified cases. Basically, the only change is that the weights of the modified rule have been multiplied by an exponential factor evaluated at the corresponding abscissa.

For a standard Gauss-Laguerre rule, polynomial exactness is defined in terms of the function f(x). That is, we say the rule is exact for polynomials up to degree DEGREE_MAX if, for any polynomial f(x) of that degree or less, the quadrature rule will produce the exact value of

        Integral ( 0 <= x < +oo ) exp(-x) f(x) dx
      

For a modified Gauss-Laguerre rule, polynomial exactness is defined in terms of the function f(x) divided by the implicit weight function. That is, we say a modified Gauss-Laguerre rule is exact for polynomials up to degree DEGREE_MAX if, for any integrand f(x) with the property that exp(+x) * f(x) is a polynomial of degree no more than DEGREE_MAX, the quadrature rule will product the exact value of:

        Integral ( 0 <= x < +oo ) f(x) dx
      

The program starts at DEGREE = 0, and then proceeds to DEGREE = 1, 2, and so on up to a maximum degree DEGREE_MAX specified by the user. At each value of DEGREE, the program generates the corresponding monomial term, applies the quadrature rule to it, and determines the quadrature error. The program uses a scaling factor on each monomial so that the exact integral should always be 1; therefore, each reported error can be compared on a fixed scale.

If the program understands that the rule being considered is a modified rule, then the monomials are multiplied by exp(-x) when performing the exactness test.

Since

        Integral ( 0 <= x < oo ) exp(-x) xn dx = n!
      
our test monomial functions, in order to integrate to 1, will be normalized to:
        Integral ( 0 <= x < oo ) exp(-x) xn / n! dx
      
It should be clear that accuracy will be rapidly lost as n increases.

The program is very flexible and interactive. The quadrature rule is defined by three files, to be read at input, and the maximum degree top be checked is specified by the user as well.

Note that the three files that define the quadrature rule are assumed to have related names, of the form

When running the program, the user only enters the common prefix part of the file names, which is enough information for the program to find all three files.

For information on the form of these files, see the QUADRATURE_RULES directory listed below.

The exactness results are written to an output file with the corresponding name:

Usage:

int_exactness_laguerre ( 'prefix', degree_max, option )
where

If the arguments are not supplied on the command line, the program will prompt for them.

Licensing:

The computer code and data files described and made available on this web page are distributed under the GNU LGPL license.

Languages:

INT_EXACTNESS_LAGUERRE is available in a C++ version and a FORTRAN90 version and a MATLAB version.

Related Data and Programs:

INT_EXACTNESS, a MATLAB program which tests the polynomial exactness of a quadrature rule for a finite interval.

INT_EXACTNESS_CHEBYSHEV1, a MATLAB program which tests the polynomial exactness of Gauss-Chebyshev type 1 quadrature rules.

INT_EXACTNESS_CHEBYSHEV2, a MATLAB program which tests the polynomial exactness of Gauss-Chebyshev type 2 quadrature rules.

INT_EXACTNESS_GEGENBAUER, a MATLAB program which tests the polynomial exactness of Gauss-Gegenbauer quadrature rules.

INT_EXACTNESS_GEN_HERMITE, a MATLAB program which tests the polynomial exactness of generalized Gauss-Hermite quadrature rules.

INT_EXACTNESS_GEN_LAGUERRE, a MATLAB program which tests the polynomial exactness of generalized Gauss-Laguerre quadrature rules.

INT_EXACTNESS_HERMITE, a MATLAB program which tests the polynomial exactness of Gauss-Hermite quadrature rules.

INT_EXACTNESS_JACOBI, a MATLAB program which tests the polynomial exactness of Gauss-Jacobi quadrature rules.

INT_EXACTNESS_LEGENDRE, a MATLAB program which tests the polynomial exactness of Gauss-Legendre quadrature rules.

INTEGRAL_TEST, a FORTRAN90 program which uses test integrals to measure the effectiveness of certain sets of quadrature rules.

NINT_EXACTNESS, a MATLAB program which tests the polynomial exactness of multidimensional integration rules.

QUADRATURE_RULES_LAGUERRE, a dataset directory which contains sets of files that define Gauss-Laguerre quadrature rules.

TEST_INT_LAGUERRE, a MATLAB library of routines which define integrand functions that can be approximately integrated by a Gauss-Laguerre rule.

Reference:

  1. Philip Davis, Philip Rabinowitz,
    Methods of Numerical Integration,
    Second Edition,
    Dover, 2007,
    ISBN: 0486453391,
    LC: QA299.3.D28.

Source Code:

Examples and Tests:

LAG_O1 is a standard Gauss-Laguerre order 1 rule.

LAG_O2 is a standard Gauss-Laguerre order 2 rule.

LAG_O4 is a standard Gauss-Laguerre order 4 rule.

LAG_O8 is a standard Gauss-Laguerre order 8 rule.

LAG_O16 is a standard Gauss-Laguerre order 16 rule.

LAG_O1_MODIFIED is a modified Gauss-Laguerre order 1 rule.

LAG_O2_MODIFIED is a modified Gauss-Laguerre order 2 rule.

LAG_O4_MODIFIED is a modified Gauss-Laguerre order 4 rule.

LAG_O8_MODIFIED is a modified Gauss-Laguerre order 8 rule.

LAG_O16_MODIFIED is a modified Gauss-Laguerre order 16 rule.

You can go up one level to the MATLAB source codes.


Last revised on 01 August 2009.