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Misplaced Idealizations Maxwell's Demon does not Compute John D. Norton Department of History and Philosophy of Science Center for Philosophy of Science University of Pittsburgh 4th Tuebingen Summer School in History and Philosophy of Science, July 2015 1 This Lecture Maxwell’s demon is not idealized well as an information processor or computing device. The quickest, simplest, No information talk. clearest, most effective exorcism No entropy cost of erasing information. of Maxwell’s demon in 150 years. No entropy cost of gaining information. No entropy cost of processing information. No Szilard’s Principle. No Landauer’s Principle. etc. etc. 2 The Exorcism in Brief (for experts) same demon state demon what 1. Describe a naturalized must demon do. any equilibrium system out-of-equilibrium system most of phase space obvious 2. Attribute properties to demon and system. Hamiltonian dynamics… a tiny part of phase space that the demon 3. Find must violate Liouville 4. A quantum version. theorem (conservation of phase volume). 3 Maxwell demons of the fluctuation era 1905-1929 were not computers 4 Maxwell’s demon lives in the details of Brownian motion and other fluctuations “[…] we see under our eyes now motion transformed into heat by friction, now heat changed inversely into motion, and that without loss since the movement lasts forever. This is the contrary of the principle of Carnot. If this be so, to see the world return backward, we no longer have need of the infinitely keen eye of Maxwell's demon; our microscope suffices.” Poincaré, 1904 Could these momentary, miniature violations of the second law be accumulated to large-scale violations? A real Maxwell’s demon? Guoy (1888), Svedberg (1907) designed minimachines with that purpose. 5 Guoy’s Proposal, 1888 thread To and fro Brownian motion of a small body… …is rectified by a ratchet that can only turn one way. The first “Brownian ratchet.” 6 Svedberg’s Proposal 1907 Colloid cools Charged colloid particles radiate their thermal energy. Casing heats Tuned lead casing absorbs the radiation. …plus many more layers, details designed to prevent return of heat. Svedberg, The. “Über die Bedeutung der Eigenbewegung der Teilchen in kolloidalen Lösungen für die Beurteilung der Gültigkeitsgrenzen des zweiten Haupsatzes der Thermodynamik”.Annalen der Physik, 59 (1907) pp. 451–458. 7 Exorcism of Maxwell’s demon by fluctuations. Marian Smoluchowski, 1912 Trapdoor hinged so that fast molecules moving from left to right swing it open and pass, but not vice versa. BUT AND SO The trapdoor must be very light so a molecule can swing it open. The trapdoor has its own thermal energy of kT/2 per degree of freedom. The trapdoor will flap about wildly and let molecules pass in both directions. The second law holds on average only over time. Machines that try to accumulate fluctuations are disrupted fatally by them. 8 Marian Smoluchowski, 1912 Other examples of defeated demons. Ambient voltage fluctuations electric current resistor heated above surrounding temperature Guoy’s Brownian particle replaced by Brownian motion of the toothed wheel. Later popularized by Feynman The second law holds on average only over time. Machines that try to accumulate fluctuations are disrupted fatally by them. 9 Is a Maxwell Demon Possible? 10 Nanotechnology now manipulates individual atoms Molecules of CO on surface manipulated individually by scanning tunneling microscopes at -260C. https://www.youtube.com/watch?v=oSCX78-8-q0 11 Micron Scale Magnetic http://physics.aps.org/story/v26/st22 Brownian Ratchet 12 Micron Scale Magnetic Brownian Ratchet “A micron-scale bead in water is driven across a magnetic surface by an external magnetic field (pointing out of the screen and to the right) oscillating at about 20 Hz. Diffusion in the vertical direction is about 4000 times that expected of an undriven particle.” http://physics.aps.org/story/v26/st22 13 14 15 16 “Any physically meaningful model of a Brownian motor must be compatible with the limitations that the second law imposes on its efficiency. In fact, a major part of the present paper is devoted to prove this compatibility for wide classes of models, and to explore how the entropy production Sprod can be reduced in order to devise efficient motors.” p. 181 17 Micron-machines designed by evolution Electron micrograph of ribosome Schematic of protein synthesis Powered by ATP Evolution has not produced micro Maxwell’s demons in spite of the obvious evolutionary advantage. 18 The New Exorcism Based on Section 4 of John D. Norton, "All Shook Up: Fluctuations, Maxwell's Demon and the Thermodynamics of Computation" Entropy, 15 (2013), pp. 4432-4483. 19 Assumptions used in the Exorcism 20 What a Maxwell Demon Does same demon state demon any equilibrium system out-of-equilibrium system “intermediate state” Assumption (a) A Maxwell’s demon is a device that, when coupled with a thermal system in its final equilibrium state, will, over time, assuredly or very likely lead the system to evolve to one of the intermediate states; Succeeds with all but small fraction b of equilibrium systems. and, when its operation is complete, the thermal system remains in the intermediate state. 21 Demon cycles, Isolation Assumption (c) demon demon “device” “device” Assumption (b) The device and thermal system do not interact with any other systems. The device returns to its initial state at the completion of the process; and it operates successfully for every microstate in that initial state. 22 Constitution of the Demon and the Thermal System Assumption (d) The time evolution of the total system is Hamiltonian with a time-reversible, timeindependent Hamiltonian. Loosely speaking: The thermal system and demon have “generic” microdynamics. dpi H dt q i dqi H dt pi for canonical generalized momenta p1, p2, p3, … and positions q1, q2, q3, … Not inviolable… but relaxing it quickly violates the Second Law. Zhang and Zhang “pressure demon.” 23 Hamiltonian Flow in Phase Space Each point in phase space is a complete system. Trajectory is the complete history of the evolution of the system from start to finish. 24 Thermal Equilibrium States …occupy virtually all of phase space. Hence most trajectories starting in nonequilibrium states end up in equilibrium states. 25 Thermal Equilibrium States V Assumption (e) The equilibrium states occupy all but a tiny portion α of the thermal system’s phase space, V, where α is very close to zero. Assumption (f) The intermediate states are all within the small remaining volume of phase space, αV. 26 Liouville Theorem 27 Conservation of Phase Volume under Hamiltonian Flow 28 The Contradiction that completes the reductio 29 Impossible Compression 30 Contradiction large phase volume v(1-a)(1-b)V demon phase volume (stays constant) fraction over which demon succeeds Hamiltonian evolution of system + demon thermal system phase volume much smaller phase volume vaV demon phase volume (stays constant) thermal system must end up in nonequilibrium volume. Liouville Phase volume is conserved under theorem Hamiltonian time development. 31 Robustness 32 What the Exorcism Does Not Do… The second law of thermodynamics is not assumed. The circularity troubling the information theoretic exorcisms does not arise. (Sound vs profound dilemma.) All is microphysics AND the assumption that equilibrium states fills the phase space. 33 What the Exorcism Does Not Do… The volumes of phase space representing states are not coarse grained. Showing compression fails is the easy problem. (1-a)(1-b)V contains all microstates upon which the demon can successfully act. Recovering the approach to equilibrium is hard since we must show a small volume of non-equilibrium states evolves to a large volume of equilibrium states. Coarse graining saves the day. 34 What the Exorcism Does Not Do… Thermodynamic entropy is not included in the argumentation. It could be added if we are careful. But many are not and entropy talk more often confuses than not. 35 Quantum Exorcism 36 Nanoscale objects are quantum mechanical 37 Classical States form a phase space of dimension 2n Momentum coordinates p1, …, pn Configuration coordinates q1, …, qn Quantum The system state |y(t)> is a vector in an n dimensional Hilbert space, with orthonormal basis vectors |e1>, …, |en>. n is very large: ~1024 for ordinary macroscopic systems Time evolution is governed by Hamilton’s equations: dpi H dqi H dt qi dt pi Time evolution is governed by Schroedinger’s equation: d ih | y(t) H | y(t) dt 38 Low Entropy State State is in small dimensional subspace of Hilbert space n molecule gas confined to half of chamber quantum classical State is in small 1/2nth volume of phase space Quantum Liouville theorem: subspace dimension is conserved. Classical Liouville theorem: phase volume is conserved. 39 Concluding Morals 40 ?How was such an easy exorcism overlooked? Information enthusiasts were too fixated on making the information-based analysis work. Information skeptics were too fixated on showing that the information-based analysis fails. Our idealizations have been tracking fads. 41 1950s: Information! Claude Shannon (1948). "A Mathematical Theory of Communication” Bell Systems Technical Journal 27(1948), pp. 379-423, 623-656. Information ideas and concepts = Entropy heat, work, thermodynamics Worth trying, but how long do try before you give up? 42 Szilard’s Principle versus Landauer’s Principle Szilard 1929 Von Neumann 1932 Brillouin 1951+… Landauer 1961 Bennett 1987+… Acquisition Szilard’s principle is false. of one bit of information by the demon creates k ln 2 of thermodynamic entropy. Information Erasure of one bit of information from a computer memory by the demon creates k ln 2 of thermodynamic entropy. vs Computation 43 1970s: Computers! “This essay is concerned with a particular philosophical view that holds that the mind literally is a digital computer (in a specific sense of “computer” to be developed), and that thought literally is a kind of computation.” 44 1970s: Computers! “I will show that the universe can be regarded as a giant quantum computer.” 45 1970s: Computers! http://www.technologyreview.com/view/429561/the-measurementthat-would-reveal-the-universe-as-a-computer-simulation/ 46 1970s: Computers! = 47 Physics has principles… … and so does computer science. 48 The End 49