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CONVERGENCE OF EXPANSIONS IN A GAUSSIAN BASIS                           85













                         Estimates for the discretization error are derived in the appendix.  Unlike the esti-
                         mates (2.6) these are not obtained as strict inequalities, but rather as leading terms
                         of asymptotic expansions. For the integral (2.12a)  with the integration limits
                         to   the  discretization  error  is  (for  large n and sufficiently  small h, see  appendix
                         E)



                         To arrive from  (E.2)  and  (E.7b) at  (2.14) one  must  identify a of appendix E  with
                            and realize that (E.2)  or equivalently f ( x ) in (C.1) is normalized to 1. To
                         establish the relation to (2.1) one must multiply (E.2) by    The  relative
                         discretization error happens to be independent of r (at least as far as its dominant
                         term is concerned).  Using the arguments of the appendix one finds for the optimum
                         interval length as function of dimension n of the basis






                         and for the overall error (for that range of r values for which  and  are suffiently
                         small).




                         3. Estimation of the error of an expectation value of 1/r

                         In practice  one will  –  in  fact  –  not  be  interested  in the  accuracy  of f(r) as  a
                         function of r, but rather in the error of matrix elements like that over a hydrogenlike
                         1s function



                         as



                         To estimate this error we insert (2.2) into (3.1b) and integrate first over r such that
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