“What is Applied Mathematics?”
James Brown
Three questions:
1.
How does mathematics ‘hook onto’ the world?
2.
Are some objects referred to in
theories ‘merely mathematical’, or do they exist in their own right?
3.
Is math essential for science?
Re 1:
Measurement theory says that mathematical representation of a
non-mathematical realm occurs when there is a homomorphism between a relational
system P and a math system M – a structure preserving mapping from the domain,
D, of the relational system P to the domain D* of the mathematical system
M. Mathematics hooks onto the world by
providing representations in the form of structurally similar models.
Representing objects vs representing properties of objects; the latter allows
for physically uninstantiated values, but commits us
to platonic properties.
Re 2:
There are mathematical ‘mere artifacts’ – e.g., the average family. But compare Maxwell’s electrodynamic
fields; quantum states; and space-time manifolds. The issue of the independent existence of mathematically
modeled objects must be evaluated on a case-by-case basis.
Re.3:
Quine/Putnam vs Field pp. 27-28
Field’s conservatism argument for the
dispensability of mathematics. If a conservative nominalization of the
mathematical content of an empirical theory exists, then that shows that the
math is dispensable, because a ‘conservative’ nominalization is one that has
all of the predictive consequences of the original theory.
Objections to this argument:
1.
The notion of logical consequence needed is that
of second-order logic, which isn’t recursively axiomatizable , so the
notion of consequence must be semantical and
therefore set-theoretic.
2.
The need for mathematical models not
just for talking about how things are, but to talk about what is and isn’t possible,
given certain conditions.
3.
Math is also needed methodologically,
for the creation and comprehension of physical theories.
New question: Could mathematics actually describe the world
directly rather than merely represent it?
The Quine/Putnam vs Field
debate can be cast as a debate about this.
p. 30 bottom: The autonomy of mathematics supports the representationalist account.
The debate about structuralism can also be related to this new
question. According to structuralism,
math can apply directly to the world, by contrast with platonism, according to which math is transcendental
and merely representational.
But, asks Brown, are structures discovered in the world, or to recognize
X as having structure S must we already have the idea of the structure S
itself?
Against structuralism:
Zermelo and von Neuman structures for the natural numbers are different
structures, because all properties are essential in mathematics.
Every consistent mathematical structure has an instantiation, but not every
such structure has a physical instantiation.
(Says who?: Plato!)
The foundational notion of set (comp. e.g., to the notion of groups) is
contrary to the spirit of structuralism, because the identity of a set is
defined in terms of its members.
(Last para: spoken like a true ‘pi in the sky’
space cadet! J)
Mark Balaguer:
“A Fictionalist Account of the Indispensable
Applications of Mathematics”
The applicability of math is a
problem for Platonism, because mere truth of Platonism would not be enough to
explain its applicability;
relevance is also required.
Why is mathematical theory, platonistically
construed, relevant to physical theory?
PCI “The Principle of Causal
isolation”: There are no causal
interactions between mathematical and physical objects.”
Balaguer: PCI must be true, because we
cannot make coherent sense of causal interactions with sets, as distinct from
their (say) concrete members, contra Maddy (1990).
PCI makes it hard for platonists to explain the
relevance. PCI also makes it hard for fictionalists who accept PCI to explain the relevance. There are some anti-platonists
who reject PCI; however, this turns out in general to be problematic.
One idea platonists might try is to posit mathematico-physical
facts: e.g., the fact that that a system S is currently at 40 degrees
Celsius. But PCI implies that this mixed
fact supervenes on a bottom level purely physical fact about S and a purely
mathematical fact about 40. (see argument in n. 10)
This could lead the Platonist to
adopt a representational, rather than causal, explanation of the applicability . On
such a view, e.g., given that physical temperature states are related to each
other analogously to the way real numbers are related to each other, it is
convenient to represent the bottom-level physical state using the real numbers,
rather than trying to spell out the physical details of its temperature
state.
But there is a worry that this
representational account may not be able to handle all questions of
mathematical applicability. While all
applications that that can be explained by the representational account are
thereby dispensable (argument given on p. 295), those that aren’t
are so far still indispensable, and therefore in need of a different
account.
Proposal:
(APP)
All mathematics ever does in empirical science is provide theoretical
apparatuses (or in other words, conceptual frameworks) in which to make
assertions about the physical world; i.e. math is not relevant to the operation
of the physical world, only to our understanding of it.
This is akin to the representational
account except for not requiring that a nominalized version of the physical
theory – one from which references to mathematical entities has been removed via some appropriate
representation theorem – be
available. Still, what would be
articulated about the world from the standpoint of such a theory is precisely
what the theory is about, even if we don’t yet know how to articulate it. Although we can sort of
articulate bits of it piecemeal. So we should not doubt that, say, Quantum
Mechanics has a nominalistic content which captures
its complete picture of the world, even if we do not know yet how to formulate
it.
Note:
Fictionalism can appeal to APP as well in its
explanation of mathematical applicability.
E.g., QM per se never entails that Hilbert spaces are causally relevant
to the physical world. And certainly the
use of Hilbert spaces as an heuristic device does not
require that reference is being made to platonic objects in the use of Hilbert
spaces.
ULRICH
MEYER: “HOW TO APPLY MATHEMATICS”
1. Intro.
For physics
to genuinely apply mathematics, but not conversely,
there must be a sharp difference in the role of mathematical and physical
objects in physical theories. Neither
nominalists nor Quine/Putnam indispensability
realists are able to say what that is.
But a less expressively restrictive
indispensability realism can.
2. The
Indispensability Argument.
The argument
aims to refute the nominalist by showing that mathematical objects are
indispensably appealed to in physical theory, and in a way that marks no
significant difference between the theoretical contributions of physical and
mathematical objects. Its background
assumptions include (A1): the regimentation of physical theory to extensional 1st
order languages; and (A2): the commitment to a mere finitude of physical
objects. But (A1) makes for an awkward
treatment of quantification over masses and distances in Newton’s theory,
requiring them to be treated as relations between physical objects and numbers.
e.g., Object a has mass n kilogram à Man
But the idea
that mass is a relational property of objects seems forced, and the role of the
numbers here seems to have nothing to do with mass per se, but just to serve as
a kind of index. Physical objects might
be used as the indices instead of numbers, except for the fact that there are
not enough of them. So, in Newton’s
theory, formulated in a 1st order way, we need mathematical objects
as theoretical relata to serve as these indices. “Man” is thus an indispensably “mixed” atomic
formula, containing terms for both mathematical and physical objects, and there
is no principled way to isolate its physical from its mathematical content. Field tries to get around this by denying
(A2) and Hellman and Chihara try to get around this
by denying (A1), but for the wrong reasons.
3. Mathematics and Infinity
Suppose that
physics were finite. Then we wouldn’t
need math to formulate it. But physics
is infinite. [But is it merely denumerably infinite or is it indenumerably
infinite?] If we had the cognitive
resources of, say, God , then we wouldn’t need math
either. But we don’t. The main purpose of math is to boost our
expressive capacities in dealing with complex physical systems. There are similarities (both serve to simply
theory) and differences (math has to do with expressive capacity – ‘ideology
boosting’) of role between mathematical objects and physical objects in
physical theory, but such differences cannot be accounted for in a 1st
order way. At the same time, the fact
that mathematical and physical objects enter physical theory for different
reasons does not imply that they should be given different ontological status.
4. Mass Properties
Intuitively,
mass is an intrinsic property of physical objects, not a relation to something
else (e.g., a number). 2nd order
property quantifiers, modal operators, and a certain partial ordering among
properties, can be used to give a characterization of that property.
What we want
is a characterization of the intrinsic mass property, X, had by a, such that a has the property X if and only if Man for some particular
n. There turn out to be some technical
issues of distinguishing this intrinsic mass property in a 2nd order
way from properties that are not equivalent to mass. The property of having a certain amount of
mass is different from the property having electron charge, for instance. While all objects with electron charge have
electron mass (i.e., the amount of mass had by an electron at rest), the
converse does not follow. And while
having electron mass is having a mass property, having the conjunctive property
of being red and having electron mass is not.
So, it is
not enough to say that there is some property X such that x has it and anything
z is such that if z has X then Mzn. Let n be the numerical value of electron
mass, and suppose that only electrons
happen to have that value of mass. Then
X so characterized would not distinguish between electron charge and electron
mass. One can avoid this by
strengthening the above characterization of X to rule out such coincidences, by
requiring for all z that if z had X then Mzn would
be the case. This replaces the
material conditional with a counterfactual conditional. But the result still doesn’t rule out the
conjunctive property of being red and having electron mass: anything that had
such a conjunctive property would have a mass property; but the conjunctive
property is not a mass property per se.
We have now
arrived at the most technical moment of the paper. We are to suppose that properties may be
partially ordered in the following way: a property X will be deemed less than
or equal to a property Y just in case, necessarily, any object z that has X
will also have Y. Now Let ‘Ø [X]’ be an open sentence in property variable X. It can be an atomic sentence, or a
conjunctive open sentence, or whatever.
Then we can say, where X is mass, that the maximal property of mass,
call it ‘MX [ØX]’ will be the property Y such that any property Z that
satisfies the open sentence is contained within Y. But the conjunctive property of being red and
having electron mass does not satisfy the open sentence, and so is not contained within it.
So, then, to
say that a has the property of n kilograms of mass would be to say that a has
the maximal monadic property MX such that: [were-any-z-to-have-X,-then-Mzn-would-be-the-case]x. This, Meyer claims, allows us to represent
mass properties as the intrinsic properties we take them to be.
One thing to
note about this 2nd order characterization is that although n is
used in the characterization of the maximal property, it is not in a
grammatical position such that it is available for objectual
quantification. I have tried to make
this obvious with the use of the dashes and square brackets. But we will see shortly, that Holland is not really wanting to make an ontologically deflationary
point here. [Though
others might want to.]
Another
thing that Meyer claims at this point is that when we do express a relation
between a physical object and a number, as in the 1st order ‘Man’,
the relation should be regarded as an internal relation, not an external
relation, and that the 2nd order rendering helps us to see
this. To say that the relation is internal
is to say that it’s obtaining or not is fully determined by the inherent
properties of the relata. Spatial distance between
things, as treated in, say, Newtonian mechanics is an
external relation. The quantity of mass
of an object, expressed as a relation to a number, is an internal
relation. On p. 23 Meyer makes the claim
that the relations that physical objects bear to mathematical objects are
always internal. What this amounts to is
the claim that for every “mixed” 1st order relational statement of a
physical theory, we can formulate it in 2nd order theory as the
claim about a second order n-adic property had by
some physical objects, where the references to mathematical objects now appear
in the characterization of the property and are therefore not available for
quantification. He calls these
structures “separation postulates”, because they show an important difference
of function between the physical objects and the mathematical ones. The theory is straightforwardly committed to
the existence of the physical objects: reference to them occurs in
existentially quantifiable positions.
The theory is not thereby committed to the existence of the mathematical
objects, at least when referred to in a seemingly referentially opaque position
as part of the characterization of an intrinsic property.
5. Physical Content
And this
observation is also key to how Meyer wants to effect a separation between the
empirical content and mathematical content of a physical theory, without this
being nominalistic or in aid of nominalism: just
formulate the salient “separation postulates”, which show the mathematics as
contributing to the ‘form’ of the theory, not its objectual
content.
Quine was
right, he says : A theory T is ontologically committed
to an object x just in case the theory logical entails x’s existence. And a theory is physical just in case it
logically entails the existence of some physical objects.
But now,
says Meyer, let us say that:
A physical theory T applies an (e.g., mathematical)
object x just in case (i) T is ontologically
committed to x, and (ii) there is a theory T’ that is not committed to x’s
existence, but which has the same physical content as T.
Note: the above does not imply that the theory could be
formulated without reference to all mathematical objects, just without
reference to x. [Hmmmm. Why
formulate it in that way?? Maybe because
he wants to formulate it in a way that causes the least problem for a platonist, while still providing a
characterization of distinctness of function for math objects.] Meyer then
claims (bottom p. 25) that a theory applying an object in this sense would show
that the object’s only function is to help express its physical content – its
only role is ‘ideology-boosting’. [Note:
this compares quite well with the account of empirical math applications
proposed by Balaguer.] But then, on the top of p. 26, he says: but
wait, there’s more! This only works if
there are indeed mathematical objects after all. You cannot apply an object if
there is no object to apply! “The numbers and functions referred to by the
separation postulates need to exist for the expressions within the brackets to
pick out the relations that we want them to pick out. The theory’s physical content is only part
of its deductive closure. The rest of
the theory, which makes ample reference to mathematical objects, is not
superfluous. It plays an essential role
in expressing its physical content.
Hence this account of applied mathematics does nothing to advance the
case of the mathematical nominalist.”
[But how do we get at “the rest of the theory”? By reverting to its 1st
order formulation? Or by treating all of
the erstwhile opaque 2nd order contexts in the definitions of physical
properties and separation postulates as transparent after all? It cannot be the latter, because then the
explanation offered of the role of the math collapses. So the proposal must be to keep both
formulations of the theory: one, T’, for
account of the special role of math it provides, the other, T, for the ontological commitment to math
entities it provides. But that is a
little odd. What, for instance, if the
math applied is mathematical properties, rather than
mathematical objects? Then we will seemingly need the 2nd order
version of the theory for both tasks.
Also, and independently, why couldn’t fictional mathematical objects or
properties serve here, a la Balaguer? Apparent answer: because we want claims about
mathematical objects to be true. But
maybe when Meyer says that his scheme does nothing to advance the case of
nominalism, he is putting it too strongly.
Perhaps he should have said: this account of applied mathematics does
not force us to be nominalists – although it does not force us not to be either.]
“HOW APPLIED
MATHEMATICS BECAME PURE”, Penelope Maddy
--the
history of applied and of pure mathematics, the changing relations between
them, and philosophical lessons to be learned --
Sometimes an historical perspective
can be quite revealing. Sometimes it
should give us philosophical pause.
A historical reversal, in broad
strokes, of philosophical regard for mathematics:
1. from
Plato, who thought that our rational quantitative inquiries yield true knowledge of eternal, transcendental forms, while our empirical qualitative
inquiries yield at best defeasible opinion about the immanent passing world;
2. to the
scientific revolution of the 15th and 16th centuries, in
which mathematics ‘became one’ with science; became ‘the language in which the
book of nature was written’. The subject
matter of mathematics became immanent, in Aristotle’s (and maybe Pythagoras’s)
sense. Empiricism was ascendant over
rationalism. (Yadayada…) Scientifically good descriptions of the
phenomenon being studied should be quantitative, or mathematical; and nature,
through observation and measurement, provides us with the data and means to
formulate them. Nature guides us to the
correct mathematics, and to its correct worldly applications. Science and mathematics develop together in a
close symbiotic relation;
3. to the present day: where
scientific knowledge is the best, is the standard of knowledge; epistemology is
naturalized, a la Quine. Yet though the science is ever more highly
mathematized, the status of the math, both in this role and independently of
this role, has become philosophically problematic.
What happened between 2 and 3?
·
The 19th century saw
mathematicians begin to introduce concepts that did not -- by their lights at
the time -- correspond to anything in the empirical world. They had no physical interpretation. These concepts were introduced and explored
for purely mathematical reasons. The methods
used were those also divorced from empirical methods. Mathematics as a discipline began to assert
its autonomy -- in terms of what it studied and how it studied it-- from
empirical science. Mathematics exploded
into a hundred branches – “maths”.
·
The discovery by mathematicians of
non-Euclidian geometries in the 19th century (discovered while
exploring an uneasiness – theirs and Euclid’s -- about the Parallel Postulate),
and then later the empirical discovery that physical space was non-Euclidian,
led to the mathematical study of various geometries of various abstract spaces,
to recognition that the geometry of physical space was an empirical question,
but at the same time to the protection of Euclidian geometry by mathematicians
as a true geometry, not about physical space but about an abstract space.
Michael Resnik, a philosopher, refers approvingly to
this positing of an abstract realm as the subject matter for Euclidean geometry
as a “Euclidian rescue”. Generalizing this sort of move gave mathematics its
own protected subject matter. Science
was of course still free to visit (if it asked politely) the increasingly
well-stocked warehouse of mathematical theories, to try to find the right
mathematical tools for representing or modeling aspects of the empirical world.
·
The acceptance of atomic theory in
the 20th century created more demands on mathematics. There was by now no longer any issue of the
value and need for mathematics for scientific purposes. But there was a shift in mathematical
modeling of empirical phenomena under study, from descriptive accuracy, to
approximation and idealization, sometimes quite pronounced idealization,
sometimes idealization without any very clear independent understanding of the
nature of what one was trying to represent, and so without any clear
understanding of why the approximations and idealizations worked when they
worked: e.g., comp. the theory of heat, quantum mechanics, particle physics,
the structure of space-time, black holes,
etc.. So math in application in
these domains was not necessarily giving us, or even trying to give us, an
explanatorily accurate picture of the empirical phenomena being modeled. There was no going back to pre-revolutionary
qualitative science, of course. But must
we humor the mathematician, and allow them to go back to Plato, to regard their
subject matter as literal platonic abstractions? What explanatory or modeling purpose is
served by that? Or is it only
anachronistic philosophers who want to do that?
WHERE WE ARE NOW, ACCORDING TO MADDY
·
WE ARE NOT TRYING TO DISCOVER
MATHEMATICS IN NATURE LIKE GALILEO AND EULER AFFECTED TO DO. WE
ARE ‘CONSTRUCTING’ IT. BUT WHAT
MOTIVATES US TO CONSTRUCT WHAT? THE
CONTRAINTS AND THE MOTIVATIONS SEEM TO BE LARGELY INTERNAL TO THE DEVELOPMENT
OF MATHS BY MATHEMATICIANS.
·
THE REASONS FOR DISCREPENCIES BETWEEN
MODEL AND MODELLED, TO THE EXTENT THAT WE UNDERSTAND THEM, ARE SO DIVERSE THAT
THE PROSPECT OF A UNIVERSAL ACCOUNT FOR APPLICABILITY OF MATHEMATICS, AS
OPPOSED TO A CASE-BY-CASE APPROACH, LOOKS DOUBTFUL.
·
WITH THE COMPLETE DIVORCE OF THE
METHODS OF PURE MATHEMATICS FROM THE EMPIRICAL METHODS OF SCIENCE, IT WOULD
SEEM THAT THE RATIONAL AUTHORITY, THE OBJECTIVITIY, OF THE FINDINGS OF PURE
MATHEMATICS MUST SOMEHOW RESIDE IN ITS DISTINCTIVE METHODS, AND SO TO
UNDERSTAND WHERE THAT AUTHORITY COMES FROM AND WHAT IT COMES TO WE NEED TO
UNDERSTAND THOSE METHODS. HOW DO WE GO ABOUT
THEIR STUDY?
SET THEORY AS A BROAD FOUNDATIONAL
FRAMEWORK, EXEMPLIFYING MATHEMATICAL METHODS AND THE PROBLEMS OF UNDERSTANDING
THEM: AXIOMATIZATION; CRITERIA OF
COHERENCE; STANDARDS OF DEFINITION, PROOF; UNANSWERED QUESTIONS. WHAT GUIDES ITS FUTURE DEVELOPMENT? PERHAPS SIMPLY THE
WELL-INFORMED INTUITIONS OF SET-THEORETIC PRACTITIONERS, CONSTRAINED BY
COHERENCE, AND ESPECIALLY MATHEMATICAL FRUITFULNESS? IS THIS A KIND OF ‘MATHEMATICAL OBJECTIVITY
WITHOUT MATHEMATICAL OBJECTS’? IF SO,
MADDY HAS ARRIVED AT IT, CONTRA FIELD, LARGELY THROUGH HISTORICAL REFLECTION,
NOT THROUGH HIGHLY ABSTRACT
PHILOSOPHICAL ARGUMENTS AGAINST THE POSSIBILITY OF RATIONAL
BELIEF IN SOME FORM OF MATHEMATICAL REALISM
“MATHEMATICAL
OBJECTIVITY AND MATHEMATICAL OBJECTS”
Hartry Field (1998)
Initial Question: Must (putative) objectivity of
mathematical claims be explained in terms of the existence of mathematical
objects, or can it be explained in some other way…e.g., via an interpretation
of mathematical claims as concerning possibilities? (p. 388)
Thesis to be defended: The deepest issue with a variety of versions of platonism including standard ‘objectual’
platonism, is not about the existence of abstract
objects at all, but about mathematical objectivity and its limits. And that
objectivity can be grounded in logic: 1st order logic, supplemented
by a formal account of finiteness (p. 401)
1.
Logical Objectivity and Specifically
Mathematical Objectivity
Will assume that logic, and hence mathematical
proof, is fully objective (qua validity).
If that is all there is to mathematical objectivity, then there is no
requirement of mathematical objects (because logic is formal in the sense that
l-validity and l-truth do not per se imply the existence of any objects.
But what about the purely
mathematical aspects of math imbodied in its axioms,
the ultimate starting points of all mathematical proofs. What is objective about these?
Suppose that their objectivity is
just a matter of their being accepted by us, or by mathematicians. It turns out that that leaves open the
possibility (and actuality) that there will be mathematical claims such that
neither they nor their denials are provable from logic plus the accepted
mathematical axioms. And thus neither
they nor their denials will be objectivity correct. In fact either they or their denials will be
consistent with our best mathematical theory, closed under logic.
An important current example is a
claim about the size of the continuum: it will be indeterminate whether its
size is aleph1, aleph2, aleph3….and into the transfinite. The mathematical
axioms that are currently accepted do not imply that there is an objectively
correct size of the continuum.
[Field wants to contrast this example
with Godel’s proof that there are undecidable
sentences of the form
(*) For all natural numbers x, Bx; in which ‘Bx’ is a decidable
predicate
Why?]
2.
Mathematical Objects Without
Specifically Mathematical Objectivity.
Following Hilary Putnam, even if
there is a fixed universe of mathematical objects, there need be no objectively
correct answer to the question of the continuum. This is because whatever our choice of answer
(aleph1, aleph23), we will be able to find properties and relations with which
to interpret our theory so that on our choice it comes out true (Why? Cf. p.
391). So this suggests that there are
limits to the objectivity of mathematics as it now stands.
[Field alludes to a determinate but
primitive notion of finiteness, which, when added to standard 1st
order logic, would block an analogous result for Godel’s
undecidable sentences of number theory, so that at
least number theory per se would remain completely objective.]
Field then sketches (pp. 391-2) what
he calls a ‘moderately non-objectivist’ picture of mathematical methods, which
turns not on truth but on consistency, plus interest, beauty, utility relative
to context, etc..
3.
The Prospects For
Mathematical Objectivity Without Mathematical Objects.
Interpreting the claims of
mathematics in some non-standard, non objectual way
(e.g. as modal claims) will not help avoid the result in 2 above. Nor can it be convincingly argued that logic
even supplemented with the account of finiteness somehow depends on prior
mathematics in a way which undercuts the result.
4.
The Existence and Nature of
Mathematical Objects.
Let ‘platonism’
imply the view that there is a unique correct answer to the continuum problem.
(‘unqualified objectivism’)
Forms
of anti-platonism:
Conceptualism
Constructivism
Balaguer’s
‘Full-blooded Platonism’ (Why?).
Fictionalism (no math objects)
“…it might…be argued that the
difference between the anti-platonist views and the
standard Platonist view of a single universe of mind-independent mathematical
objects collapses, if the standard
Platonist accepts Putnam’s argument and recognizes the futility of thinking
that those mathematical objects will supply a kind of objectivity that is
unavailable on the anti-platonist views” (p. 395)
5.
The ‘Access’ Argument. (Benacerraf (1973))
defended, with important exemptions noted on p. 397 top.
6.
A number of possible ways of
elaborating ‘The Structuralist (Benacerraf (1965))
Insight’ are distinguished and critiqued.
7.
Mathematical Objects and the Utility
of Mathematics
Must we speak of
numbers in doing our best science? (Can a nominalization project succeed?)
Even if so, does this
give us a reason to suppose that numbers exist? (Would that
be only if numbers are taken to be ‘causally involved’ in producing physical
effects?)
“INDISPENSIBILITY ARGUMENTS
AND MATHEMATICAL REALISM”
DAVID GABER (UNPUB.
MS., 2009)
To
be argued: that the Quinian
Indispensability Argument is in tension with the realities of mathematical and
scientific practice. The mere
indispensability of an entity to some theoretical discourse is not grounds, per
se, for taking such entities as having any kind of reality independent of such
discourse. (p.1)
The
QI Argument:
1. We ought to have ontological commitment to
all and only those entities that indispensable to our best scientific theories.
2. Mathematical entities are indispensable to
our best scientific theories. Therefore
3. We ought to have ontological commitment to
mathematical entities. (p. 2)
Problems understanding the
explanatory role of abstracta in empirical contexts. (p.3)
Explanation and Theoretical Entities
Compare: “The acceleration due to
gravity at sea level on Earth is 9.8 m/sxs” with
“There exists a real number x such that the magnitude of the acceleration due
to gravity at sea level on Earth is x m/sxs”
Note: the latter does not by itself
imply that the said number exists independent of mind and language.
The chess analogy vs. ‘the
mathematics game’?
pp. 5 – 6: unexpected consequences of mathematical
claims for empirical phenomena; and also for math itself via the interconnected
nature of math, make mathematics seem rather un-game like.
But that doesn’t necessarily council platonism; the prospect of fictionalism
may still be pragmatically justified.
Mathematics in Scientific
Explanations
A received view: the role of math as:
the explicit rendering of properties of elements of scientific ontology and
their causal interrelations.
Speaking of scientific explanations
in general terms (e.g., the D-N model) vs. speaking of the details of
particular explanations.
p. 8 But it might be asked what the
philosophical relevance is of those details.
In response: Mark Wilson quote.
A minor change in the physical nature
of an explanation may have dramatic implications for an explanation. The details can be critical.
Application of Math in Scientific
Reasoning
p.9 The math used in modeling a system need not directly represent the
activities and entities of the system in order to explain things about it –
contra the received view.
e.g.,
sliding block on an incline plane
p. 10 n.9:
‘ensemble behaviors’ , in which the detailed underlying causal story is
explanatorily irrelevant. Other examples . 10-11
geometric (topological) relationships vs. causal relationships
geometric relationships can in many cases remain explanatory even if we change the
underlying causal processes
pp. 12-13 Why
is the mathematics involved in an explanation so stubbornly independent of the
physical nature of the system?
But mightn’t that be taken as an
indication of platonism? No, and it would not account for the role of
mind and language dependent facts in the choice of which math to deploy in
which circumstances, in explaining the behavior of a given system.
Methodology of Mathematicians and
Physicists.
Disparities in the notions of rigor
employed. Proof and
argument vs. consistency with observation, explanatory utility, plausibility
given known physical laws.
e.g., the Dirac delta function; the
Feynman path integral. Physicists
prescribe their restricted deployment rather than outright rejection. And their
instrumental deployment as such may be indispensable, notwithstanding their
mathematical incoherence.
n.15
A compelling argument in favor of a
unified notion of rigor would be strong evidence for mathematical Platonism. (Why, exactly?)
p. 15 Davey: inferential permissiveness vs inferential restrictedness.
p. 16 bottom: a nuanced evaluation of the differences of
rigor.
What Kind of Entities Are
mathematical Entities?
p. 18 The role of experimental outcomes in
underpinning our commitment to the existence of electrons? What is the analog of that supposed to be in
the case of mathematical entities appealed to in theoretical explanations?
pp. 18-19: on the multiplicity of disparate maths used to describe the same system.
Maddy quote.
The “artificiality” of the role of
mathematics in the sciences.
p. 20 top “The world does not appear
to have a strong bias towards any particular mathematics.”
Revisiting the Indispensibility
Argument:
Reject premise 1.
Background Considerations on Indispensibility Arguments:
They all seem to presuppose
scientific realism as an interpretive stance towards the empirical content of
scientific theories. That raises the question
of whether such arguments are biased towards mathematical realism as opposed to
fictionalism.
Quine’s first premise is a bi-conditional.
Gaber doesn’t comment on the two directions of
the bi-conditional considered separately, but the ‘only if’ clearly depends on Quine’s naturalism, and Quine
supports the ‘if’ direction by appeal to his confirmation holism about
theories, which has the mathematical aspects of the theory and their
ontological consequences being accepted on the basis of the same empirical
confirmation as the rest.
Quine’s second premise depends of course on having ruled out any nominalistic reduction of the mathematical aspects of a
theory to something that leaves them out.
Michael Resnik
offers a different indispensability argument for the truth of mathematical
claims (see his “Scientific vs mathematical Realism:
the Indispensibility Argument”, in Philosophia Mathematica Vol 3 (1995) pp.166-174).
He takes it as independent of any appeal to conformational holism. It could also be argued that it is also
independent of whole-sale Quinian naturalism. Here it is:
1. In stating its laws and
conducting its derivations science assumes the existence of many mathematical
objects and the truth of much mathematics
2. These assumptions
are indispensable to the pursuit of science; moreover, many of the important
conclusions drawn from and within science could not be drawn without taking
mathematical claims to be true.
3. So we are justified
in drawing conclusions from and within science only if we are justified in
taking the mathematics used in science to be true.
4. But we are
justified in drawing conclusion from within science, since this is the only way
we know of doing science, and we are justified in doing science.
5. Therefore we are justified in
taking the math used in science (including existence claims) to be true.
“FICTIONALISM, THEFT, AND THE STORY
OF MATHEMATICS”, Mark
Balaguer
Wants to defend a certain kind of fictionalism against certain objections, but does not ultimately
want to endorse either fictionalism or platonism. His final view (not developed here) is a kind
of ‘no-fact-of-the-matterism’ as regards platonism and fictionalism
in mathematics.
‘Generic Fictionalism’: Since mathematical theories purport to be
about abstract objects, but there aren’t any such objects, mathematical
theories are not literally true.
Fictionalism is a reaction to mathematical platonism. Here is an argument for
‘Generic Platonism’:
1.
The sentences of our mathematical theories seem
true.
2.
They should be taken at their
grammatical face value.
3.
If we take them to be true at their
grammatical face value, then we must be committed to the existence of the
objects they purport to be about.
4.
But those would-be objects are
abstract.
5.
So we must be committed to the
existence of those abstract objects
2-4 can be defended empirically via
semantic considerations.
But the conjunction of 1 and 2 does
not give us the antecedent of 3. The
argument actually looks to be invalid (not what Balaguer
had in mind).
There is the Quine/Putnam
Indispensibility Argument for platonism. But
the indispensability can either be denied via nominalist reconstruals
(thereby denying 2) or failing that, explained via fictionalism,
e.g., an account of the role of mathematics in science as a descriptive or
representational aid.
Re. disanalogies
with fiction:
Better names for fictionalism might be
‘reference-failurism’, or ‘not-truism’. Fictionalists do
not need to make any substantive claim about similarities between math and
fiction.
Objectivity and Correctness:
Truth vs
truth in the story of mathematics.
But the objectivity of math might be
thought to outstrip math’s story, whether or not one ultimately takes the story
for reality or fiction. It will be important to sort this issue out because, the main strategy for the defense of fictionalism adopted here is to mimic platonism:
Theft-Over-Honest-Toil Fictionalism (‘T-fictionalism’): A sentence of pure mathematics is
‘fictionally correct’ just in case it would be true in the story of mathematics
told by the platonists, were there abstract objects
such as the platonists take mathematics to be truly
about.
Sparse vs plenetudinous versions of this….Balaguer
favors plenitude, because it avoids The
Benacerraf Problem.
Will argue that T-fictionalism’s
prospects for dealing with the issue of mathematical objectivity are just as
good as – indeed tied to – the platonist’s
prospects.
Platonism and Objectivity
Silly Platonism: theorems about all
non-isomorphic platonic structures are true per se.
To avoid this, we need the
distinction between true in a structure and true per se.
Better Platonism: To be true per se a pure mathematical sentence needs to be true in the
intended structure, or intended part of the mathematical realm, i.e., the part
we have in mind in the given branch of math.
Such intentions are captured by the ‘Full Conception’ (‘FC’) that we
have of the objects (up to isomorphism).
FCs: to be captured by
sentences. But sometimes our intentions
are just committed to whatever the sentences say; while other times they are
committed to the sentences on the proviso that they capture our background
pre-theoretic intuitions. (e.g., Group
theory vs. Natural Number Theory)
FCNN picks out an unique structure up
to isomorphism; the one that we intend (contra Putman in “Models and Reality”,
he says with conviction)
FCUS: Does it pick out an unique structure up to isomorphism? Field thinks not, but
there is more to be said, as we’ll see.
Infinitely Better Platonism (IBP): A sentence S of pure
mathematics is true iff true in all the parts of the
mathematical realm that count as intended in the given branch of mathematics,
and there is at least one such; and S is false iff
false in all such parts of the mathematical realm (or there is no such part);
and if S is true in some intended parts of the mathematical realm and false in
other intended parts, then there is no fact of the matter as to whether it is
true or false.
Ruling out the possibility of indeterminacy
would require sparse platonism,
but that would make mathematical truth arbitrary and mathematical discovery
impossible. What grounds could we have
for choosing one of the non-isomorphic structures over the other, barring some
new addition to our FC?
IBP is non-revisionistic
wrt external constraints on mathematics.
‘Infinitely Better Fictionalism’ (IBF), the best version of
T-fictionalism:
A pure mathematical sentence S is correct iff,
in the story of mathematics, S is true in all the parts of the mathematical
realm that count as intended in the given branch of mathematics; and S is
incorrect iff, in the story of mathematics, S is
false in all intended parts of the mathematical realm; and if, the story of
mathematics, S is true in some intended parts of the mathematical realm and
false in others, then there is no fact of the matter as to whether S is correct
or incorrect.
But how does this preserve
mathematical objectivity that extends beyond our current theories? Here is how: (see pp. 150-151). The IBF Fictionalist
will ape the IBP Platonist. Apparently,
the IBP Platonist can say wrt some newly intuited
axiom A, which together with ZF implies the Axiom of Choice,
that its intuitivity shows that it was already
part of our FCUS, we just hadn’t noticed.
The IBF factionalist can just mimic that.
For the IBF fictionalist,
correctness facts
stolen from the Platonist will decompose into empirical facts
about what exactly is built into our intentions, plus logical facts –
consistency and entailment facts about what follows from the supposition that
there exist mathematical objects of the kind that correspond to our intentions,
and our FCs, and the axiom systems we work with. So correctness facts decompose into logical
facts of this type plus “an empirical residue”.
So mathematics is to that extent empirical.
From David Papineau’s
Philosophical Naturalism
‘Fictionalism’
wrt a ‘domain of discourse’:
1.
A literal understanding of the claims
made about the domain.
2.
A rejection of belief in such claims.
3.
An acceptance of such claims as
fictions which are useful for various pragmatic purposes.
Versus Realism on the one hand and
Instrumentalism on the other.
Examples of factionalist construals.
Mathematics: One should not believe that 2+2=4. Rather, one should accept it, on its
Platonist construal, as a useful fiction.
E.g., what it implies about particular concrete countings
is true and believable, such as that adding these two chairs to those two
different chairs will make a total of 4 chairs.
Morality: One should not believe that murder is
wrong. Rather, one should accept that it
is, as an expression of our impartial disapproval of murder.
Modality: one should not believe that ‘Necessarily, if both P and (if P then Q), then Q’. Rather, one should accept it as an expression
of our unqualified commitment to corresponding instances of argument having
that form.