arXiv (Cornell University),
Год журнала:
2023,
Номер
unknown
Опубликована: Янв. 1, 2023
A
central
task
in
stochastic
thermodynamics
is
the
estimation
of
entropy
production
for
partially
accessible
Markov
networks.
We
establish
an
effective
transition-based
description
such
networks
with
transitions
that
are
not
distinguishable
and
therefore
blurred
external
observer.
demonstrate
that,
contrast
to
a
based
on
fully
resolved
transitions,
this
typically
non-Markovian
at
any
point
time.
Starting
from
information-theoretic
bound,
we
derive
operationally
estimator
observation
scenario.
illustrate
operational
relevance
quality
numerical
analysis
various
representative
examples.
Proceedings of the National Academy of Sciences,
Год журнала:
2024,
Номер
121(17)
Опубликована: Апрель 16, 2024
Many
nonequilibrium,
active
processes
are
observed
at
a
coarse-grained
level,
where
different
microscopic
configurations
projected
onto
the
same
observable
state.
Such
“lumped”
observables
display
memory,
and
in
many
cases,
irreversible
character
of
underlying
dynamics
becomes
blurred,
e.g.,
when
projection
hides
dissipative
cycles.
As
result,
observations
appear
less
irreversible,
it
is
very
challenging
to
infer
degree
broken
time-reversal
symmetry.
Here
we
show,
contrary
intuition,
that
by
ignoring
parts
already
state
space
may—via
process
called
milestoning—improve
entropy-production
estimates.
We
present
diverse
examples
milestoning
systematically
renders
“closer
dynamics”
thereby
improves
thermodynamic
inference
from
lumped
data
assuming
given
range
hypothesize
this
effect
quite
general.
Moreover,
whereas
correct
general
physical
definition
time
reversal
presence
memory
remains
unknown,
here
show
means
physically
relevant
least
for
semi-Markov
first
second
order,
waiting-time
contributions
arising
adopting
naive
Markovian
generally
must
be
discarded.
Physical review. E,
Год журнала:
2024,
Номер
109(6)
Опубликована: Июнь 11, 2024
We
analytically
derive
universal
bounds
that
describe
the
tradeoff
between
thermodynamic
cost
and
precision
in
a
sequence
of
events
related
to
some
internal
changes
an
otherwise
hidden
physical
system.
The
is
quantified
by
fluctuations
either
number
counted
over
time
or
waiting
times
successive
events.
Our
results
are
valid
for
same
broad
class
nonequilibrium
driven
systems
considered
uncertainty
relation,
but
they
extend
both
time-symmetric
asymmetric
observables.
show
how
optimal
saturating
can
be
achieved.
For
waiting-time
observables,
phase
transition
configuration
arises,
where
higher
achieved
combining
several
signals.
Physical Review Research,
Год журнала:
2024,
Номер
6(2)
Опубликована: Май 16, 2024
Stochastic
thermodynamics
provides
the
framework
to
analyze
thermodynamic
laws
and
quantities
along
individual
trajectories
of
small
but
fully
observable
systems.
If
level
fails
capture
all
relevant
degrees
freedom,
some
form
effective,
coarse-grained
dynamics
naturally
emerges
for
which
principles
stochastic
generally
cease
be
applicable
straightforwardly.
Our
work
unifies
notion
entropy
production
an
trajectory
with
that
a
by
establishing
based
on
snippets
Markovian
events
as
fundamental
building
blocks.
A
key
asset
trajectory-based
fluctuating
is
ability
localize
contributions
total
in
time
space.
As
illustration
potential
application
inference
we
introduce
method
detection
hidden
driving.
The
applies
equally
even
odd
variables
and,
therefore,
includes
peculiar
case
underdamped
Langevin
dynamics.
Published
American
Physical
Society
2024
Physical Review Letters,
Год журнала:
2025,
Номер
134(3)
Опубликована: Янв. 21, 2025
Memory
effects
are
ubiquitous
in
small-scale
systems.
They
emerge
from
interactions
between
accessible
and
inaccessible
degrees
of
freedom
give
rise
to
evolution
equations
that
nonlocal
time.
If
the
characteristic
timescales
sharply
separated,
locality
can
be
restored
through
standard
Markov
approximation.
Here,
we
show
this
approach
rigorously
extended
a
well-defined
weak-memory
regime,
where
relevant
comparable
order
magnitude.
We
derive
explicit
bounds
on
error
local
approximation
convergent
perturbation
scheme
for
its
construction.
Being
applicable
any
time
equation
is
autonomous
linear
variables
interest,
our
theory
provides
unifying
framework
systematic
description
memory
effects.
Published
by
American
Physical
Society
2025
Physical review. E,
Год журнала:
2025,
Номер
111(1)
Опубликована: Янв. 21, 2025
The
visible
dynamics
of
small-scale
systems
are
strongly
affected
by
unobservable
degrees
freedom,
which
can
belong
to
either
external
environments
or
internal
subsystems
and
almost
inevitably
induce
memory
effects.
Formally,
such
inaccessible
freedom
be
systematically
eliminated
from
essentially
any
microscopic
model
through
projection
operator
techniques,
result
in
nonlocal
time
evolution
equations.
This
article
investigates
how
under
what
conditions
locality
rigorously
restored
beyond
the
standard
Markov
approximation,
generally
requires
characteristic
timescales
accessible
sharply
separated.
Specifically,
we
consider
equations
that
autonomous
linear
variables
interest.
For
this
class
models,
prove
a
mathematical
theorem
establishes
well-defined
weak-memory
regime,
where
faithful
local
approximations
exist,
even
if
relevant
comparable
order
magnitude.
generators
these
approximations,
become
exact
long-time
limit,
independent
determined
arbitrary
accuracy
convergent
perturbation
theory
strength,
generator
is
recovered
first
order.
illustration,
work
out
three
simple,
yet
instructive,
examples
covering
coarse-grained
jump
networks,
semi-Markov
processes,
generalized
Langevin
Published
American
Physical
Society
2025
Splitting
probabilities
quantify
the
likelihood
of
a
given
outcome
out
competitive
events.
This
key
observable
random
walk
theory,
historically
introduced
as
gambler’s
ruin
problem,
is
well
understood
for
memoryless
(Markovian)
processes.
However,
in
complex
systems
such
polymer
fluids,
motion
particle
should
typically
be
described
process
with
memory,
which
splitting
are
much
less
characterized
analytically.
Here,
we
introduce
an
analytical
approach
that
provides
one-dimensional
isotropic
non-Markovian
Gaussian
processes
stationary
increments,
case
two
targets.
analysis
shows
controlled
by
out-of-equilibrium
trajectories
observed
after
first
passage.
directly
evidenced
prototypical
experimental
reaction
scheme
viscoelastic
fluids.
These
results
extended
to
d
-dimensional
large
confining
volumes,
opening
path
toward
study
events
media.
Physical Review Research,
Год журнала:
2023,
Номер
5(4)
Опубликована: Дек. 15, 2023
Nonequilibrium
processes
break
time-reversal
symmetry
and
generate
entropy.
Living
systems
are
driven
out-of-equilibrium
at
the
microscopic
level
of
molecular
motors
that
exploit
chemical
potential
gradients
to
transduce
free
energy
mechanical
work,
while
dissipating
energy.
The
amount
dissipation,
or
entropy
production
rate
(EPR),
sets
thermodynamic
constraints
on
cellular
processes.
Practically,
calculating
total
EPR
in
experimental
is
challenging
due
limited
spatiotemporal
resolution
lack
complete
information
every
degree
freedom.
Here,
we
propose
an
inference
approach
for
a
tight
lower
bound
given
partial
information,
based
optimization
scheme
uses
observed
transitions
waiting
times
statistics.
We
introduce
hierarchical
bounds
relying
first-
second-order
transitions,
moments
time
distributions,
apply
our
two
generic
hidden
network
motor,
with
lumped
states.
Finally,
show
can
be
obtained
even
when
assuming
simpler
topology
full
system.
Proceedings of the National Academy of Sciences,
Год журнала:
2024,
Номер
121(33)
Опубликована: Авг. 9, 2024
The
laws
of
thermodynamics
apply
to
biophysical
systems
on
the
nanoscale
as
described
by
framework
stochastic
thermodynamics.
This
theory
provides
universal,
exact
relations
for
quantities
like
work,
which
have
been
verified
in
experiments
where
a
fully
resolved
description
allows
direct
access
such
quantities.
Complementary
studies
consider
partially
hidden,
coarse-grained
descriptions,
mean
entropy
production
typically
is
not
directly
accessible
but
can
be
bounded
terms
observable
Going
beyond
mean,
we
introduce
fluctuating
that
applies
individual
trajectories
under
time-dependent
driving.
Thus,
this
concept
applicable
broad
and
experimentally
significant
class
driven
all
relevant
states
resolved.
We
provide
paradigmatic
example
studying
an
protein
unfolding
process.
As
consequence,
entire
distribution
rather
than
merely
its
retains
spatial
temporal
information
about
microscopic
In
particular,
obtain
bound
physical
events.
Physical Review Letters,
Год журнала:
2024,
Номер
132(14)
Опубликована: Апрель 2, 2024
Experiments
often
probe
observables
that
correspond
to
low-dimensional
projections
of
high-dimensional
dynamics.
In
such
situations
distinct
microscopic
configurations
become
lumped
into
the
same
observable
state.
It
is
well
known
correlations
between
and
hidden
degrees
freedom
give
rise
memory
effects.
However,
how
under
which
conditions
these
emerge
remain
poorly
understood.
Here
we
shed
light
on
two
fundamentally
different
scenarios
emergence
in
minimal
stationary
systems,
where
observed
either
evolve
cooperatively
or
are
coupled
by
a
nonequilibrium
current.
reversible
setting
strongest
manifests
when
timescales
dynamics
overlap,
whereas,
strikingly,
driven
maximal
emerges
clear
timescale
separation.
Our
results
hint
at
possibility
fundamental
differences
way
equilibrium
versus
systems
may
be
utilized
as
“diagnostic”
underlying
transport
mechanism.
Published
American
Physical
Society
2024