On Wed, Aug 7, 2013 at 5:36 PM, Jurriaan Bendien
<[email protected]> wrote:

> Thanks for your extensive elaboration. My understanding of “mapping” in
> mathematics is, that it has a more specific meaning than you use.

What more specific meaning?

> I get your idea about a fixed point, but it is only one way of looking at
> it, and not the only logically compelling or most obvious one.

I'm not saying it is the only way.  But, given what we know, it is a
very general and extremely *powerful* way of looking at it.

In mathematics, fixed point theory is a whole field.  So, if you can
frame a process -- physical, social, etc. -- as a mapping with rather
basic properties so that one or more fixed points are ensured, then
you may invoke the whole fixed-point machinery.

I have only a limited knowledge of the field and its applications, but
even with that, I can see clearly that virtually *any* process (in
nature or society) whose qualitative stability (in the face of
quantitative changes) you're interested in highlighting and analyzing
can -- in principle -- be framed in these terms.

I'll just give you an illustration I'm a bit familiar with: Since
Newton and Leibniz, some systems of differential equations have
yielded solutions, but the methods to solve them have been
idiosyncratic, more or less based on the skill and intuition of the
mathematician.  Solving them was akin to performing a musical piece,
you either had the magic or not, with little awareness of the
procedure.

(Differential equations are equations where the "law of motion" or
rates of change of a variable or variable vector is known, as well as
some boundary -- e.g. initial or terminal or transversality --
conditions, and you try to solve or "integrate" for the location or
level or "function" of the variable vector. It's as if they give you
data on where the rocket was at first, its pattern of
speed/acceleration changes over time/space, and you then have to
mentally reverse engineer all this to pin down the exact location of
the rocket now.)

However, when whole systems of these equations are interpreted as
mappings (or relationships or correspondences or functions) endowed
with the right properties (basically, continuity, though if you add
other properties, you can narrow things down even more), and pow! --
these equations turn immediately into sweet, edible pieces of cake.  I
mean -- not really, you (or the computer) still need to do involved
computations (which may require you to impose even more structure,
"linearize," etc.), but the *structure* of the problem appears
entirely manageable to even a regular brain like mine.

The trick then consists of "reducing" (ha!) the particular case to the
universal analog in your brain: a continuous mapping, etc.  Once you
begin to think in these terms, a lot of stuff makes a whole lot of new
sense.

> The concept of aggregation is essentially an empiricist concept, whereby we
> arrive at a generalization by adding up and distinguishing groups of sense
> data (observations). An empiricist generalization is certainly useful, but
> has its limits.

Aggregation is not "empiricist."  I mean, scratch that -- everything
in mathematics is "empiricist" in that all abstract mathematical
structures result from the generalization of concrete procedures.  But
the principle of aggregation or "averaging" is a very general
mathematical structure: a sum or "generalized" sum (e.g. a convex,
linear, or even nonlinear transformation applied to a vector of
"data").  So, I'm not sure what you're trying to say.  Generalizations
have limits?  Of course.  But compared to what?  Particular
procedures?

And here's another analogy for you to reflect on: Generalized
mathematical structures are to scale economies as particular
"empiricist" procedures are to each worker operating in its own
individual means of production.

> Firstly, there are generalizations from experience which are
> not reducible to particular experiences but go beyond them (reductionism has
> its pitfalls). Secondly, in dialectical theory we can envisage the
> particular and the general as existing together and related to each other as
> part of a totality. A “social force” would then for example presuppose the
> actions of individuals, but also be semi-autonomous from them, in such a way
> that they mutually influence each other.

Not sure what you mean.
_______________________________________________
pen-l mailing list
[email protected]
https://lists.csuchico.edu/mailman/listinfo/pen-l

Reply via email to