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Approximation and Idealization: Why the Difference Matters John D. Norton Department of History and Philosophy of Science Center for Philosophy of Science University of Pittsburgh 1 Pitt-Tsinghua Summer School for Philosophy of Science Institute of Science, Technology and Society, Tsinghua University Center for Philosophy of Science, University of Pittsburgh At Tsinghua University, Beijing June 27- July 1, 2011

Approximation and Idealization: Why the Difference Matters John D. Norton Department of History and Philosophy of Science Center for Philosophy of Science

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Page 1: Approximation and Idealization: Why the Difference Matters John D. Norton Department of History and Philosophy of Science Center for Philosophy of Science

Approximationand Idealization:

Why theDifference Matters

John D. NortonDepartment of History and

Philosophy of ScienceCenter for Philosophy of Science

University of Pittsburgh

1

Pitt-Tsinghua Summer School for Philosophy of ScienceInstitute of Science, Technology and Society, Tsinghua UniversityCenter for Philosophy of Science, University of PittsburghAt Tsinghua University, Beijing June 27- July 1, 2011

Page 2: Approximation and Idealization: Why the Difference Matters John D. Norton Department of History and Philosophy of Science Center for Philosophy of Science

This Talk

Stipulate that:

“Approximations” are inexact descriptions of a target system.

“Idealizations” are novel systems whose properties provide inexact descriptions of a target system.

2

1Infinite limit systems can have quite unexpected behaviors and fail to provide idealizations.

Extended example:Thermodynamic and other limits of statistical mechanics.

Dominance argument:Infinite idealizations should be replaced by limiting property approximations.

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Page 3: Approximation and Idealization: Why the Difference Matters John D. Norton Department of History and Philosophy of Science Center for Philosophy of Science

CharacterizingApproximation and

Idealization

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Page 4: Approximation and Idealization: Why the Difference Matters John D. Norton Department of History and Philosophy of Science Center for Philosophy of Science

Approximation

Stipulate …

Idealization

Types of analyses

4

Target system(boiling stew at roughly 100oC )

“The temperature is 100oC.”

Inexact description(Language)

Another Systemwhose properties are an inexact description of the target system.

…and an idealization is more like a model, the more it has properties disanalogous to the target system.

Page 5: Approximation and Idealization: Why the Difference Matters John D. Norton Department of History and Philosophy of Science Center for Philosophy of Science

A Well-Behaved Idealization

5

Target:Body in free fall

dv/dt = g – kv

v(t) = (g/k)(1 – exp(-kt))

= gt - gkt2/2 + gk2t3/6 - …

v = gtInexact description for the the first moments of fall (t is small).

Approximation

Body in free fall

in a vacuum

v = gtExact description

Idealization forfirst moments of fall.

Page 6: Approximation and Idealization: Why the Difference Matters John D. Norton Department of History and Philosophy of Science Center for Philosophy of Science

Approximation only

6

Bacteria grow with generations roughly following an exponential formula.

Approximatewithn(t) = n(0) exp(kt)

System of infinitely many bacteria

fails to be an idealization.

fit improves at n grows large.

Take limit as n

infiniten(t)

=infiniten(0) exp(kt)

??

??

Page 7: Approximation and Idealization: Why the Difference Matters John D. Norton Department of History and Philosophy of Science Center for Philosophy of Science

Using infinite Limits

to formidealizations

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Page 8: Approximation and Idealization: Why the Difference Matters John D. Norton Department of History and Philosophy of Science Center for Philosophy of Science

“Limit property”

“Limit system”

Limit Property and Limit System Agree

8

Infinite cylinder has area/volume = 2.

system1, system2, system3, … , limit systemagrees

withproperty1, property2, property3, … , limit property

Infinite cylinder is an idealization for

large capsules.

areavolume

= 4 + 2a4 + a

4 + 24 +

4 + 44 + 2

, 4 + 64 + 3

, , … , 2

Page 9: Approximation and Idealization: Why the Difference Matters John D. Norton Department of History and Philosophy of Science Center for Philosophy of Science

Limit property

There is no limit system.

There is no Limit System

9

There is no such thing as an “infinitely big sphere.”

system1, system2, system3, … , ???

property1, property2, property3, … , limit property

Limit property is an

approximationfor large spheres.

There is no idealization.

?, … , 0

areavolume

= 4r2

4r3 = 3/r

3/1 , 3/2 , 3/3 ,

Page 10: Approximation and Idealization: Why the Difference Matters John D. Norton Department of History and Philosophy of Science Center for Philosophy of Science

“Limit system”

Limit Property and Limit System Disagree

10

Infinite cylinder has

area/volume = 2.

system1, system2, system3, … , limit systemDISagrees

withproperty1, property2, property3, … , limit property

Infinite cylinder is NOT an idealization for large ellipsoids.

“Limit property”

areavolume

= 2a4a

, , … , 3Area formula holds only for large a.

formula for a=1

,formula for a=2

,formula for a=3

formula for a=4

Page 11: Approximation and Idealization: Why the Difference Matters John D. Norton Department of History and Philosophy of Science Center for Philosophy of Science

Limits in Statistical

Physics

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Page 12: Approximation and Idealization: Why the Difference Matters John D. Norton Department of History and Philosophy of Science Center for Philosophy of Science

Recovering thermodynamicsfrom statistical physics

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Very many small components interacting.

Thermodynamic system of continuous substances.

Treated statistically

often behaves almost exactly like…

Analyses routinely take “limit as the number of

components go to infinity.”

The question of this talk:how is this limit used?

?∞

Page 13: Approximation and Idealization: Why the Difference Matters John D. Norton Department of History and Philosophy of Science Center for Philosophy of Science

Two ways to take the infinite limit

13

Idealization

The “limit system” of infinitely many

components analyzed.

Its properties provide inexact descriptions of the target system.

Infinite systems may have properties very different from finite systems.

Systems with infinitely many components are never considered.

∞Approximation

Consider properties as a function of number n

of components.“Properties(n)”

“Limit properties”Limn∞Properties(n)provide inexact descriptions of the properties of target system.

Page 14: Approximation and Idealization: Why the Difference Matters John D. Norton Department of History and Philosophy of Science Center for Philosophy of Science

Thermodynamic limit as an

idealization

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Page 15: Approximation and Idealization: Why the Difference Matters John D. Norton Department of History and Philosophy of Science Center for Philosophy of Science

Two forms of the thermodynamic limit

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Number of components

Volume

n ∞

V ∞

such that n/V isconstant

Strong. Consider a system of infinitely many components.

“The physical systems to which the thermodynamic formalism applies are idealized to be actually infinite, i.e. to fill Rν (where ν=3 in the usual world). This idealization is necessary because only infinite systems exhibit sharp phase transitions. Much of the thermodynamic formalism is concerned with the study of states of infinite systems.”

Ruelle, 2004

Idealization

Weak. Take limit only for properties.

Property(n)volume

well-defined limit density

Le Bellac, et al., 2004.

Approximation

Page 16: Approximation and Idealization: Why the Difference Matters John D. Norton Department of History and Philosophy of Science Center for Philosophy of Science

Infinite one-dimensional crystal

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Spontaneously excites when disturbance propagates in “from infinity.”

then

then

then

then

Determinism, energy conservation fail.

This indeterminism is generic in infinite systems.

Problem for strong form.

Page 17: Approximation and Idealization: Why the Difference Matters John D. Norton Department of History and Philosophy of Science Center for Philosophy of Science

Strong Form: Must Prove Determinism

17

Simplest one dimensional system of interacting particles.

Clause bars monsters not arising in finite case.

Page 18: Approximation and Idealization: Why the Difference Matters John D. Norton Department of History and Philosophy of Science Center for Philosophy of Science

Continuum limit as an

approximation

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Page 19: Approximation and Idealization: Why the Difference Matters John D. Norton Department of History and Philosophy of Science Center for Philosophy of Science

Continuum limit

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Number of components

Volume

n ∞

V fixed

such that

Portion of space occupied by matter is constant.d = component size

nd3 = constant Boltzmann’s k 0Avogadro’s N ∞Fluctuations obliterated

No limit state.Stages do not approach continuous matter distribution.See “half tone printing” next.

Continuum limit provides

approximationLimit of properties is an inexact description of properties of systems with large n.

Idealization fails.

Useful for spatially inhomogeneous systems.

Page 20: Approximation and Idealization: Why the Difference Matters John D. Norton Department of History and Philosophy of Science Center for Philosophy of Science

Half-tone printing analogy

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State at pointx = 1/3y = 2/5

Oscillates indefinitely: black, black, white, white, black, black, white, white, …

At all stages of division

point in space is

blackoccupied or

whiteunoccupied

limit state ofgray =everywhere uniformly 50% occupied

Page 21: Approximation and Idealization: Why the Difference Matters John D. Norton Department of History and Philosophy of Science Center for Philosophy of Science

Boltzmann-Grad limit as an

approximation

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Page 22: Approximation and Idealization: Why the Difference Matters John D. Norton Department of History and Philosophy of Science Center for Philosophy of Science

Boltzmann-Grad Limit

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Useful for deriving the Boltzmann equation (H-theorem).

Number of components

Volume

n ∞

V fixed

such that

d = component size

nd2 = constant Portion of space occupied by matter 0

Limit stateof infinitely many point masses of zero mass. Can no longer resolve collisions uniquely.

System evolution in time has become

indeterministic.Limit properties provide approximation.Idealization fails.

Page 23: Approximation and Idealization: Why the Difference Matters John D. Norton Department of History and Philosophy of Science Center for Philosophy of Science

Lose these for point masses.4

take limit…Equations 1 energy conservation3 momentum conservation2 direction of perpendicular surface6

Resolving collisions

23

Variables

2 x 3 velocity components for

outgoing masses 6

Page 24: Approximation and Idealization: Why the Difference Matters John D. Norton Department of History and Philosophy of Science Center for Philosophy of Science

Renormalization Group Methods

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Page 25: Approximation and Idealization: Why the Difference Matters John D. Norton Department of History and Philosophy of Science Center for Philosophy of Science

Renormalization Group Methods

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forexperts

Best analysis ofcritical exponents.

Zero-field specific heatCH ~ |t|

…Correlation length ~ |t|

…for reduced temperaturet=(T-Tc)/Tc

Transformations are degenerate if we apply them to systems of infinitely many componentsN = ∞.

!!

Renormalization group transformation generated by suppressing degrees of freedom:

Ncomponents

N’=bdNclusters of components

such that total partition function is preserved (unitarity):

Hence generate transformations of thermodynamic quantities

Total free energy F’ = -kT ln Z = F

Free energy per component

Z’(N’) = Z (N)

f’ = F’/N’ = F/bdN = f/bd

Page 26: Approximation and Idealization: Why the Difference Matters John D. Norton Department of History and Philosophy of Science Center for Philosophy of Science

Properties of critical exponents recovered by analyzing RNG flow in region of space asymptotic to fixed point =region of finite system Hamiltonians.

The Flow

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space of reduced

Hamiltonians

forexperts

Lines corresponding to systems of infinitely many components (critical points) are added to close topologically regions of the diagram occupied by finite systems.

Analysis employs

approximation andnot (infinite) idealization.

Page 27: Approximation and Idealization: Why the Difference Matters John D. Norton Department of History and Philosophy of Science Center for Philosophy of Science

Elimination ofInfinite

Idealizations

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Page 28: Approximation and Idealization: Why the Difference Matters John D. Norton Department of History and Philosophy of Science Center for Philosophy of Science

Finite Systems Control

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“The existence of a phase transition requires an infinite system. No phase transitions occur in systems with a finite number of degrees of freedom.”

Kadanoff, 2000

Necessity of infinite systems

Finite systems control infinite.vs“We emphasize that we are not considering the theory of infinite systems for its own sake… i.e. we regard infinite systems as approximations to large finite systems rather than the reverse.”

Lanford, 1975

Infinite system needed only for a mathematical discontinuity in thermodynamic quantities, which is not observed…and if it were, it wouldrefute the atomic theory!

Properties of finite systems control the analysis.

Page 29: Approximation and Idealization: Why the Difference Matters John D. Norton Department of History and Philosophy of Science Center for Philosophy of Science

Dominance argument

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Use of infinite idealization

requires:

Properties of infinite limit

system

must match

Limit properties of finite systems.

IFwe already know the properties of the finite systems,THENwe do not need the infinite limit system.

IFwe DO NOT already know the properties of the finite systems,THENwe cannot responsibly use limit system.

Either way, we should eliminate the infinite

idealization.

Else we mis-characterize the finite systems.

Page 30: Approximation and Idealization: Why the Difference Matters John D. Norton Department of History and Philosophy of Science Center for Philosophy of Science

Conclusion

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Page 31: Approximation and Idealization: Why the Difference Matters John D. Norton Department of History and Philosophy of Science Center for Philosophy of Science

This Talk

Stipulate that:

“Approximations” are inexact descriptions of a target system.

“Idealizations” are novel systems whose properties provide inexact descriptions of a target system.

31

1Infinite limit systems can have quite unexpected behaviors and fail to provide idealizations.

Extended example:Thermodynamic and other limits of statistical mechanics.

Dominance argument:Infinite idealizations should be replaced by limiting property approximations.

2

Page 32: Approximation and Idealization: Why the Difference Matters John D. Norton Department of History and Philosophy of Science Center for Philosophy of Science

32http://www.pitt.edu/~jdnorton/lectures/Tsinghua/Tsinghua.html

Page 33: Approximation and Idealization: Why the Difference Matters John D. Norton Department of History and Philosophy of Science Center for Philosophy of Science

The End

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