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1 The Fermi-Pasta Ulam (FPU) Problem: The Birth of Nonlinear Science Lilienfeld Prize Lecture APS March Meeting March 17, 2010 David K. Campbell Boston University

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The Fermi-Pasta Ulam

(FPU) Problem: The Birth of Nonlinear Science

Lilienfeld Prize Lecture APS March Meeting

March 17, 2010

David K. CampbellBoston University

Presenter
Presentation Notes
My topic today is an interesting lesson in scientific discovery—how a “little surprise” led to an entire an entire new “field” and a series of novel approaches to a range of phenomena in the natural world. In a sense that I hope will be clear in the end, it is about “sensitivity to initial conditions,” which is singularly appropriate for a subject that involves “chaos.” But I’m getting a bit ahead of myself. The beauty of nonlinear phenomena is that there is no superposition—you cannot add together to solutions to get a third. And that is how it is in principle possible to combine four one hour talks into a single ½ hour one—it stress “in principle” because it remains to be seen whether I will succeed. In this lecture, I’m attempting to follow the guidance of a master—the mathematician Mark Kac—who said that in lecturing it’s important to tell the truth and nothing but the truth, but not the whole truth. So here’s the outline of what I plan to discuss today.

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Prolog: nonlinear science, “experimental mathematics,”

and complexity

In the beginning..”

was the FPU problem•

FPU recurrences—numerical studies

FPU recurrences--analytic approaches •

The legacy of FPU—the field of nonlinear science•

Chaos and fractals

Solitons

and coherent structures•

Patterns and complex configurations

Intrinsic localized modes (ILMs)•

Anomalous transport/conductivity

Reconciling FPU with statistical mechanics•

Summary and Conclusions

Outline

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Prolog•

Nonlinear Science: the study of those phenomena and mathematical models that are not linear: like calling the bulk of zoology “the study of non-elephants”

[S. Ulam

or

C. von Wiezsäcker] Paradigms of nonlinear science: chaos and fractals, solitons

and coherent structures,

patterns and complex configurations•

Experimental Mathematics:

the use of computers to

gain insight (not just numerical answers) to “hard” problems (ie, those without analytic approaches)

Complexity: adds to paradigms of nonlinear science adaptation, evolution, and learning

and networks

Shlomo Havlin’s

talk

Presenter
Presentation Notes
Johnny von Neumann 20th Century Hungarian/American mathematician��{\narrower\noindent�Our present analytic methods seem unsuitable for the solution of�the important problems rising in connection with nonlinear�partial differential equations and, in fact, with virtually all�types of problems in pure mathematics. $\ldots$ really efficient�high-speed computing devices may, in the field of nonlinear�partial differential equations as well as in many other fields�which are now difficult or entirely denied of access, provide us�with those heuristic hints which are needed in all parts of�mathematics for genuine progress.��

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Los Alamos, Summers 1953-4 Enrico Fermi, John Pasta, and Stan Ulam

decided to use the world’s then most powerful computer, theMANIAC-1

(Mathematical Analyzer Numerical Integrator And Computer)

to study the equipartition of energy expected from statistical mechanics in the simplest classical model of a solid: a ID chain of equal mass particles coupled by nonlinear*

springs. Fermi expected “these were to be studied preliminary to setting up ultimate models …where “mixing”

and “turbulence”

could be observed. The motivation then was to observe the rates of the mixing and thermalization

with the hope that the calculational

results would provide hints for a future theory.”

[S. Ulam]. *They knew linear springs could not produce equipartition

Aside: Birth of computational physics (“experimental mathematics”)

“In the beginning…”

was FPU

5

Fixed = Nonlinear Spring

fixedNnNnnnn

1210

“In the beginning…”

was FPU M V(x)

V(x) = ½

kx2

+ /3 x3

+ /4 x4

“The results of the calculations (performed on the old MANIAC machine) were interesting and quite surprising to Fermi. He expressed to me the opinion that they really constituted a little discovery in providing limitations that the prevalent beliefs in the universality of “mixing and thermalization

in non-linear systems may not always be justified.”

[S. Ulam]

N=32, 64

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“In the beginning……”

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Additional author ?

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Key conclusion

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“Experimental Mathematics”:Von

Neumann quote

“Experimental Mathematics”:Von

Neumann quote

At least an acknowledgement

Presenter
Presentation Notes
von Neumann quote: “Our present analytic methods seem unsuitable for the solution of the important problems arising in connection with nonlinear partial differential equations and, in fact, with virtually all types of problems in pure mathematics. ….really efficient high-speed computing devices may, in the field of nonlinear partial differential equations as well as many other fields which are now difficult or entirely denied of access, provide us with those heuristic hints which are needed in all parts of mathematics for genuine progress. “ H. Goldstein and J. von Neuman “On the principles of large scale computing machines,” in JvN Collected Works, Vol V, p 1-32 (J. Taub, Ed. Pergamon, 1961). Story of Mary Tsingou Menzel, written up in Physitcs Today by Thierry Dauxois Physics Today January 2008 55-57

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To study systematically, start from linear

limit

Familiar (linear) “phonon”

dispersion relation from solid state physics: assuming

NB: We have introduced lattice spacing “a”

for later purposes

nn ynax with0

nnnn yyyy 2KM 11 (1)

tkankin Aey (2)

,

2sin2 kak o M

Ko (3)

We find that (1) can be solved provided (acoustic spectrum)

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For weak nonlinearity

Separates the problem into weakly coupled harmonic oscillators

1

1sin2 N

n nk Nnaky

NA

mkmkk ckH AAAAA21 2

k22

For strong nonlinearity

FPU expected that whatever the initial conditions, the normal modes would share the energy equally (“equipartition”)

0,1 Description in terms of normal modes

?? Results ??

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3.

Superrecurrence

Now an author!

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For small, finite N, can analyze evolution of low- dimensional nonlinear dynamical system. Leads to coupled

ODEs

and

chaos (Ford, Jackson, Izrailev, Chirikov...)

How to understand analytically?

For large N,

can consider formal continuum limit, N → ∞, “lattice spacing”

a → 0

with Na=L,

length of system. Leads

to nonlinear PDEs

and solitons

(Zabusky, Kruskal…)

For large but finite N, more recent results in anticontinuum limit

lead to “intrinsic localized modes”= ILMs

in coordinate

space (Flach, Willis, MacKay, Aubry...)

In succeeding slides, we discuss each of these three approaches briefly (and with few references).

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Essence of chaos is “sensitive dependence on initial conditions”: nearby points in phase space separate exponentially in time, orbits wander throughout (much of) phase space ≈

“mixing.”

FPU is example of (Hamiltonian) chaos—simplest example is “standard map”—mixed phase space of regular regions and chaotic “cantor dust”

–structure on all scales (fractal)—see later images.

FPU and Chaos

Chirikov

(1959) “overlap of nonlinear resonances”

for existence of “stochasticity”

(= deterministic chaos)≡

Chirikov

criterion

Nonlinearity => frequency shifts with amplitude. Resonances that are distinct for small amplitudes can overlap at large amplitudes => coupling and (efficient) energy transfer.

Izrailev

and Chirikov

(1966) studied FPU β

model in q space. Kept only diagonal (quartic) interaction term, getting nonlinear for each

specific momentum. When adjacent oscillators overlapped, got strong chaos. Occurs above threshold in energy density (ε=E/N): εSST.

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16

17

18

19

20

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1.

That seemingly simple, low dimensional dynamical systems (with no explicit stochasticity) can produce essentially “random”

behavior that is long-term

unpredictable is a priori amazing and counter-intuitive. 2.

Chaos is generic in dynamical systems, both Hamiltonian and dissipative. There exists universality in particular transitions to chaos (eg, period doubling, Feigenbaum) as in statistical mechanics.

3. “Controlling chaos”

takes advantage of sensitivity to initial conditions to produce wide range of behaviors from given dynamical system.

Why is Chaos so Special?

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Formal continuum limit is N→ ∞, a→ 0, Na=L. Kruskal, Zabusky,…

used multiple scale analysis

to approximate

0,v,10

ttxytnaxytya

n

Found that for the consistency had to have uy

satisfy

KdV

eqn

0 xxxxt uuuu

Zabusky & Kruskal

(1965):

“soliton”

txtxu v2vvsech3, 2

Amplitude, shape and velocity interdependent: characteristic of nonlinear wave—solitons

retain identities in interactions!

FPU and Solitons

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5 10 15 20 25 30 35 40x

0

2

4

6

8

10

12

u

Initial Position

Fast and slow solitons interaction for the KdV Equation

0

10

20

30

40

x

0

2

4

6

8

10

t

0

5

10

u

0

10

20

30x

Fast and slow solitons interaction for the KdV Equation

0 10 20 30 40

x

0

2

4

6

8

10

t

0

5

10

u

Soliton

collision: Vl

= 3, Vs

=1.5

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25• Pulses in optical fibers

10-6

m wide10-3

m long

In the real world, don’t expect exact soliton behavior: more general concept of coherent structures

persistent, localized spatial structures in extended nonlinear systems--is relevant.

Solitons/Coherent Structures in Nature?

Coherent Structures

are observed on all scales in nature

Red Spot of Jupiter 4 x 107

m

Important in Technology

• Charge density waves in 5 x 10-10

m novel solid state materials

• Earth Ocean Waves

105

m 102

m

• Laboratory Fluid Expts

1m 10-2

m

TsunamisApollo –

Soyuz imageWaves on a Beach

Smoke ringsBinary Convection

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Surfin’

the Severn River

Presenter
Presentation Notes
Comment of Severn River surfing slide: I think the Noel Coward’s line about “mad dogs, and Englishmen go out in the mid-day sun” could, mutatis mutandis, apply here. Not sure what the Beach Boys would have done with this.

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Lagrangian

Coherent Structures

Presenter
Presentation Notes
This picture shows a “Lagrangian coherent structure”—the term Lagrangian is used in the fluid dynamics technical sense of studying the system in coordinates that move with the flow—in the San Francisco Bay. Notice that debris/refuse inside structure remains trapped, while that outside is carried out to sea. For you Tom Lehrer afficianados in the audience, this is the reality of the classical lines from his song “Pollution”: “The breakfast garbage they throw into the bay, you drink for lunch in San Jose” Image is from New York Times Science section September 28, 2009 Article by Bina Venkataraman

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1.

That they exist at all in nonlinear equations is amazing; expect

nonlinearity would destroy, particularly in view of our experience with low-dimensional dynamical systems.

2.

Many physical systems are well-approximated by soliton

equations (=> starting point for novel perturbation theory) and solitons—more generally, localized coherent structures, eg vortices)—are observed in many physical systems and can dominate asymptotic behavior.

3. True soliton

equations have profound mathematical structure: infinite dimensional completely integrable Hamiltonian systems, inverse spectral transfor, Painlevè

test, Kac-Moody algebras, …

Why are Solitons so Special?

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Patterns and Complex Configurations

Striking similarity between target and spiral patterns formed in Belusov-Zhabotinsky

chemical reaction and

in slime mold (dictyostelium

discoideum)

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ILMs

or “Discrete Breathers”

Definition: an “intrinsic localized mode”—or “discrete breather”—

is a highly spatially localized, time-periodic, stable (or at least very long-lived) excitation in a spatially extended, perfectly periodic, discrete system.

Bottom Line: The mechanism that permits the existence of ILMs/DBs

has been understood theoretically for nearly two decades, following pioneering works of Sievers, Takeno, Page, Aubry, MacKay, and others. Only recently have they been observed in physical systems as distinct as charge-transfer solids, Josephson junctions, photonic structures, and micromechanical oscillator arrays.

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ILM Experiments: Photonic LatticesA two-dimensional ILM forming in a photonic lattice created by optical induction in a crystal with photorefractive properties. A second laser beam provides the input (shown in (a), which is centered on a single “site”

in the photonic lattice. Panel (b) shows the linear “diffraction”

output that occurs in the absence of the photonic lattice; panel (c) shows the behavior at weak nonlinearity; panel (d) shows an ILM at strong nonlinearity.

(From H. Martin et al)

Presenter
Presentation Notes
Actual paper is Neshev et al: D. Neshev et al, “Obeservation of discrete vortex soltions in optically-induced photonic lattices,nlin.PS/0309018 and PRL 92 123903-1/4.Basically impose periodic modulation of the refractive with a strong optical field and then use weaker probe beam to study the propagation of light through the lattices. Optical vortex solitons can only exist in a defocusing medium---trying to create them in a self-focusing mediuem leads to decay into fundamental solitons.

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Anomalous Transport in FPU Systems

Do FPU like systems exhibit normal heat transport/ thermal conductivity? What is relation of chaos to normal conductivity?

For FPU, recently discovered answers are “No,”

to first question, and for second question, “chaos is neither necessary for non-sufficient for normal conductivity.”

Find κ

~ Lα

, where α=0.37

See T. Prosen and DKC, “Momentum Conservation Implies Anomalous Energy Transport in 1D Classical Lattices,”

Phys. Rev. Lett. 84 (2000) and Chaos 15, 015117 (2005)

Recall Fourier Law <J> = κ

T

with κ

an intensive variable, ie, independent of system size, L

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Reconciling FPU with Stat Mech• Work of many people summarized here—

Lichtenberg et al., Cohen, Pettini, et al.

….Picture is not complete—subtleties remain: α

and βmodels very different, results depend on N, E, and initial conditions.

• Remark: Had FPU put in 100 times energy in their original simulation, they would have observed rapid equilibration andequipartition: what would have happened to solitons??

• For ε≤

εST

, the α

FPU dynamics is regular, “overwhelming majorityof trajectories are regular (maximum Lyaponov

exponent = 0),”

noequipartition

for long (infinite?) time. Numerics

suggest εST

~ (N)-2

• For εST

≤ε≤εSST α

FPU dynamics is chaotic, but no equipartitionexcept perhaps on very long time scales (exponentially slow?, Arnold diffusion?). Region of “weak chaos”

Numerics: εSST

~ (N)0

• For ε≥

εSST,

α

FPU dynamics is strongly chaotic and there is anapproach to equilibrium on short time scales. Region of “strong chaos”

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Defined: nonlinear science, “experimental mathematics,”

and complexity

In the beginning..”

was the FPU problem•

FPU recurrences—numerical studies

FPU recurrences--analytic approaches •

The legacy of FPU—the field of nonlinear science•

Chaos and fractals

Solitons

and coherent structures•

Patterns and complex configurations

Intrinsic localized modes (ILMs)•

Anomalous transport/conductivity

Reconciling FPU with statistical mechanics

Summary and Conclusions

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Epilogue on FPU and Nonlinear ScienceFPU was a watershed problem: marked birth of nonlinear science

(and computational physics/ ”experimental mathematics”) with its paradigms of chaos, solitons, and

patterns, and produced many specific insights into physical phenomena including

ILMs, anomalous heat transport, and a deeper understanding of statistical mechanics. The FPU problem was, as Fermi remarked, quite a “little discovery.”

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Thanks !

To the APS for this singular honor•

To the many collaborators—colleagues, post-docs, students—who have worked with me

To the institutions—LANL (particularly the CNLS), UIUC, BU—and to the funding agencies—DOE, NSF, NRL, AFOSR, ESF—that have supported my own and other’s research in nonlinear science

To you, for your attention today

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A Few ReferencesMason A. Porter, Norman J. Zabusky, Bambi Hu, and David K. Campbell, “Fermi, Pasta, Ulam

and the Birth of Experimental

Mathematics,”

American Scientist, 97, 212-223 (2008)

David K. Campbell, Sergej Flach, and Yuri S. Kivshar, “Localizing Energy Through Nonlinearity and Discreteness,”

pp.

43-49, Physics Today (January 2004).

Chaos 13, #2 Focus Issue: “Nonlinear Localized Modes: Physics and Applications,”

Yuri Kivshar

and Sergej Flach, guest editors.

Chaos 15 # 1 Focus Issue: “The Fermi-Pasta-Ulam

Problem— The First 50 Years,”

David Campbell, Philippe Rosenau, and

George Zaslavsky, guest editors.

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END OF APS TALK