86 research outputs found
Hidden Markov models for stochastic thermodynamics
The formalism of state estimation and hidden Markov models (HMMs) can
simplify and clarify the discussion of stochastic thermodynamics in the
presence of feedback and measurement errors. After reviewing the basic
formalism, we use it to shed light on a recent discussion of phase transitions
in the optimized response of an information engine, for which measurement noise
serves as a control parameter. The HMM formalism also shows that the value of
additional information shows a maximum at intermediate signal-to-noise ratios.
Finally, we discuss how systems open to information flow can apparently violate
causality; the HMM formalism can quantify the performance gains due to such
violations.Comment: 27 pages, 13 figures; submitted to New J. Phy
What is superresolution microscopy?
I explain what is, what is not, and what is only sort of superresolution
microscopy. I discuss optical resolution, first in terms of diffraction theory,
then in terms of linear systems theory, and finally in terms of techniques that
use prior information, nonlinearity, and other tricks to improve performance.
The discussion reveals two classes of superresolution: Pseudo superresolution
techniques improve images up to the diffraction limit but not much beyond. True
superresolution techniques allow substantial, useful improvements beyond the
diffraction limit. The two classes are distinguished by their scaling of
resolution with photon counts. Understanding the limits to imaging resolution
involves concepts that pertain to almost any measurement problem, implying that
the framework given here has broad application beyond optics.Comment: 9 pages, 5 figure
Nonequilibrium Phenomena in Liquid Crystals
This paper summarizes a talk presented at the April NATO ASI on
Spatiotemporal Chaos in Complex Fluids, in Santa Fe, NM. The paper gives
reasons that make complex fluids good material systems for conducting
experiments on pattern formation and other nonequilibrium phenomena. Much of
the discussion focuses on the different phenomena observed in solidification
and how the increasing complexity of fluid systems decreases the velocity scale
for achieving "rapid" solidification. Five systems are compared to illustrate
this point: simple fluids, simple alloys, thermotropic liquid crystals,
lyotropic liquid crystals, and diblock copolymers. Finally, an example is given
of the kinds of transitions that may be observed in rapid solidification.Comment: 18 pages, Revtex 3.0, no figure
When memory pays: Discord in hidden Markov models
When is keeping a memory of observations worthwhile? We use hidden Markov
models to look at phase transitions that emerge when comparing state estimates
in systems with discrete states and noisy observations. We infer the underlying
state of the hidden Markov models from the observations in two ways: through
naive observations, which take into account only the current observation, and
through Bayesian filtering, which takes the history of observations into
account. Defining a discord order parameter to distinguish between the
different state estimates, we explore hidden Markov models with various numbers
of states and symbols and varying transition-matrix symmetry. All behave
similarly. We calculate analytically the critical point where keeping a memory
of observations starts to pay off. A mapping between hidden Markov models and
Ising models gives added insight into the associated phase transitions.Comment: 11 pages, 8 figure
Erasure without work in an asymmetric, double-well potential
According to Landauer's principle, erasing a memory requires an average work
of at least per bit. Recent experiments have confirmed this prediction
for a one-bit memory represented by a symmetric double-well potential. Here, we
present an experimental study of erasure for a memory encoded in an asymmetric
double-well potential. Using a feedback trap, we find that the average work to
erase can be less than . Surprisingly, erasure protocols that differ
subtly give measurably different values for the asymptotic work, a result we
explain by showing that one protocol is symmetric with the respect to time
reversal, while the other is not. The differences between the protocols help
clarify the distinctions between thermodynamic and logical reversibility.Comment: 6 pages, 5 figures, and supplemental materia
A Simple Model for Faraday Waves
We show that the linear-stability analysis of the birth of Faraday waves on
the surface of a fluid is simplified considerably when the fluid container is
driven by a triangle waveform rather than by a sine wave. The calculation is
simple enough to use in an undergraduate course on fluid dynamics or nonlinear
dynamics. It is also an attractive starting point for a nonlinear analysis.Comment: 8 pages, revtex, with included, embedded eps figs; to appear in Am.
J. Phys. (but don't hold your breath
Nanoscale virtual potentials using optical tweezers
We combine optical tweezers with feedback to impose arbitrary potentials on a
colloidal particle. The feedback trap detects a particle's position, calculates
a force based on an imposed "virtual potential," and shifts the trap center to
generate the desired force. We create virtual harmonic and double-well
potentials to manipulate particles. The harmonic potentials can be chosen to be
either weaker or stiffer than the underlying optical trap. Using this
flexibility, we create an isotropic trap in three dimensions. Finally, we show
that we can create a virtual double-well potential with fixed well separation
and adjustable barrier height. These are accomplished at length scales down to
11 nm, a feat that is difficult or impossible to create with standard
optical-tweezer techniques such as time sharing, dual beams, or spatial light
modulators
Split PID control: two sensors can be better than one
The traditional proportional-integral-derivative (PID) algorithm for
regulation suffers from a tradeoff: placing the sensor near the sample being
regulated ensures that its steady-state temperature matches the desired
setpoint. However, the propagation delay (lag) between heater and sample can
limit the control bandwidth. Moving the sensor closer to the heater reduces the
lag and increases the bandwidth but introduces offsets and drifts into the
temperature of the sample. Here, we explore the consequences of using two
probes---one near the heater, one near the sample---and assigning the integral
term to the sample probe and the other terms to the heater probe. The
\textit{split-PID} algorithm can outperform PID control loops based on one
sensor.Comment: Rev. Sci. Instrum., to appear. 4 pages, 2 figure
High-precision test of Landauer's principle in a feedback trap
We confirm Landauer's 1961 hypothesis that reducing the number of possible
macroscopic states in a system by a factor of two requires work of at least kT
ln 2. Our experiment uses a colloidal particle in a time-dependent, virtual
potential created by a feedback trap to implement Landauer's erasure operation.
In a control experiment, similar manipulations that do not reduce the number of
system states can be done reversibly. Erasing information thus requires work.
In individual cycles, the work to erase can be below the Landauer limit,
consistent with the Jarzynski equality.Comment: 7 pages, 7 figure
Direct measurement of nonequilibrium system entropy is consistent with Gibbs-Shannon form
Stochastic thermodynamics extends classical thermodynamics to small systems
in contact with one or more heat baths. It can account for the effects of
thermal fluctuations and describe systems far from thermodynamic equilibrium. A
basic assumption is that the expression for Shannon entropy is the appropriate
description for the entropy of a nonequilibrium system in such a setting. Here,
for the first time, we measure experimentally this function. Our system is a
micron-scale colloidal particle in water, in a virtual double-well potential
created by a feedback trap. We measure the work to erase a fraction of a bit of
information and show that it is bounded by the Shannon entropy for a two-state
system. Further, by measuring directly the reversibility of slow protocols, we
can distinguish unambiguously between protocols that can and cannot reach the
expected thermodynamic bounds.Comment: 9 pages, 3 figures, and supplemental materia
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