7 research outputs found
Numerically satisfactory solutions of Kummer recurrence relations
Pairs of numerically satisfactory solutions as for
the three-term recurrence relations satisfied by the families of
functions _1\mbox{F}_1(a+\epsilon_1 n; b +\epsilon_2 n;z),
, are given.
It is proved that minimal
solutions always exist, except
when and is in the positive or negative real axis, and that
_1\mbox{F}_1 (a+\epsilon_1 n; b +\epsilon_2 n;z)
is minimal as whenever
. The minimal solution is identified for any
recurrence direction, that is, for any integer values of and
.
When the
confluent limit
\lim_{b\rightarrow \infty}{}_1\mbox{F}_1(\gamma b;b;z)=e^{\gamma z},
with fixed,
is the main tool for identifying minimal solutions
together with a connection formula; for ,
\lim_{a\rightarrow +\infty} {}_1\mbox{F}_1(a;b;z)
/{}_0\mbox{F}_1(;b;az)=e^{z/2} is the main tool to be
considered
Numerically satisfactory solutions of hypergeometric recursions
Each family of Gauss hypergeometric functions
for fixed (not all equal to zero)
satisfies a second order linear difference equation of the form
Because of symmetry relations and
functional relations for the Gauss functions, many of the 26 cases (for
different values) can be
transformed into each other. In this way,
only with four basic difference equations can all other cases be obtained.
For each of these recurrences, we give pairs of numerically satisfactory
solutions in the regions in the complex plane where ,
and being
the roots of the characteristic
equation
Numerical aspects of special functions
This paper describes methods that are important for the numerical evaluation of certain functions that frequently occur in applied mathematics, physics and mathematical statistics. This includes what we consider to be the basic methods, such as recurrence relations, series expansions (both convergent and asymptotic), and numerical quadrature. Several other methods are available and some of these will be discussed in less detail. Examples will be given on the use of special functions in certain problems from mathematical physics and mathematical statistics (integrals and series with special functions)
Numerical aspects of special functions
This paper describes methods that are important for the numerical evaluation of certain functions that frequently occur in applied mathematics, physics and mathematical statistics. This includes what we consider to be the basic methods, such as recurrence relations, series expansions (both convergent and asymptotic), and numerical quadrature. Several other methods are available and some of these will be discussed in less detail. Examples will be given on the use of special functions in certain problems from mathematical physics and mathematical statistics (integrals and series with special functions)
Transitory minimal solutions of hypergeometric recursions and pseudoconvergence of associated continued fractions
Three term recurrence relations yn+1 +bnyn +anyn?1 = 0 can be
used for computing recursively a great number of special functions. Depending
on the asymptotic nature of the function to be computed, different recursion
directions need to be considered: backward for minimal solutions and forward
for dominant solutions. However, some solutions interchange their role for
finite values of n with respect to their asymptotic behaviour and certain dominant
solutions may transitorily behave as minimal. This phenomenon, related
to Gautschi’s anomalous convergence of the continued fraction for ratios of
confluent hypergeometric functions, is shown to be a general situation which
takes place for recurrences with an negative and bn changing sign once. We
analyze the anomalous convergence of the associated continued fractions for
a number of different recurrence relations (modified Bessel functions, confluent
and Gauss hypergeometric functions) and discuss the implication of such
transitory behaviour on the numerical stability of recursion