2000 MSC: prim. 00A69; sec. 35A35, 39B05, 39B72, 58J70
by
© Ph. D. & Dr. Sc. Lev Gelimson
Academic Institute for Creating Fundamental Sciences (Munich, Germany)
RUAG Aerospace Services GmbH, Germany
Mathematical Journal
of the "Collegium" All World Academy of Sciences
Munich (Germany)
3 (2003), 1
 
     
For many typical problems, there are no concepts and methods adequate and 
general enough. The absolute error alone is not sufficient for approximation 
quality estimation. The relative error is uncertain in principle and has a very 
restricted applicability domain. The unique known method applicable to 
overdetermined problems usual in data processing is the least-square method with 
narrow applicability and adequacy domains and many fundamental defects. No known 
proposition applies to estimating the quality of approximations to functions and 
distributions.
A general equation problem generalizes sets of equations of any types including 
initial and boundary value problems, etc. Consider a quantiset of any equations 
over indexed functions (dependent variables) fg of indexed 
independent variables zw, all of them belonging to their 
individual vector spaces. Gather all available functions in the left-hand sides 
of the equations without further transformations. The unique exception is 
changing the signs of expressions by moving them to the other sides of the same 
equations. We receive
w(l)(Kl[g 
belongs to G fg[w belongs 
to W zw]] 
= 0) (l belongs to L)
where Kl is an operator with index l; L, G,
W are index sets; [w belongs to W 
zw] is a set of indexed elements; w(l) is the 
quantity as a weight of the lth equation. When replacing all the unknowns 
(unknown functions) with their possible ”values” (some known functions), the 
quantiset is transformed into the corresponding quantiset of formal functional 
equalities. To conserve the quantiset form, for the known functions also use the 
same designations fg.
A general relation problem is a quantiset of relations
Rl:
w(l)Rl[g 
belongs to G fg[w belongs 
to W zw]] (l belongs to L).
A general problem is a quantisystem of relations containing both known elements 
and unknown ones, which can be regarded as values and variables, respectively. 
A pseudosolution to a problem is a quantisystem of such values of all the 
variables that, after replacing each variable with its value, the problem 
quantisystem contains no unknown elements, and each of its relations has certain 
sense and is determinable (i.e., true or false). 
A unierror irreproachably corrects the relative error and generalizes it 
possibly for any conceivable range of applicability. For an equality a =?
b (true or not), a unierror can be represented as ea 
=? b = |a - b|/(|a| + |b|) if |a| + |b| 
> 0, ea =? b = 0 by a = b = 0, 
or, by introducing extended division a//b = a/b by 
nonzero a, a//b = 0 by a = 0 and any (even zero) 
b, ea =? b = |a - b|//(|a| 
+ |b|). Another possibility is using, instead of the linear estimation 
fraction, the quadratic one 2ea =? b
= |a - b|//[2(|a|2 +|b|2)]1/2 
with values in [0, 1], too.
A reserve R with values in [-1, 1] extends the unierror e. For an 
inexact object I, R(I) = -e(I). For an exact 
object E, map it at its exactness boundary and take the unierror. For 
inequalities, negate inequality relations and conserve equality ones, also with 
natural extending to any functions.
Unierrors and reserves bring reliable estimations of approximation quality and exactness confidence. Using them unlike the least-square method, iteration methods of the least normed powers, of unierror and reserve equalization, and of a direct solution give both quasisolutions and its invariant measure. They all are very effective by setting and solving many urgent general problems in science, engineering, and life, e.g. coding ones.