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Space and the material world could be
created out of nothing but noise. That's
the startling conclusion of a new theory that attempts to explain the stuff
of reality, as Marcus Chown reports
If you could lift a corner of the veil that shrouds reality,
what would you see beneath? Nothing but randomness,
say two Australian physicists. According to Reginald Cahill and Christopher
Klinger of Flinders University in Adelaide, space and time and all the objects
around us are no more than the froth on a deep sea of randomness.
Perhaps we shouldn't be surprised that randomness is a part
of the Universe. After all, physicists tell us that empty space is a swirling
chaos of virtual particles. And randomness comes into play in
quantum theory--when a particle such as an electron
is observed, its properties are randomly selected from a set of alternatives
predicted by the equations.
But Cahill and Klinger believe that this hints at a much deeper
randomness. "Far from being merely associated with quantum measurements,
this randomness is at the very heart of reality," says Cahill. If they are
right, they have created the most fundamental of all physical theories, and
its implications are staggering. "Randomness generates everything," says
Cahill. "It even creates the sensation of the 'present', which is so
conspicuously absent from today's physics."
Their evidence comes from a surprising quarter--pure mathematics.
In 1930, the Austrian-born logician
Kurt Gödel stunned the mathematical
world with the publication of his
incompleteness
theorem. It applied to formal systems--sets of assumptions and the statements
that can be deduced from those assumptions by the rules of logic. For example,
the Greeks developed their geometry using a few axioms, such as the idea
that there is only one straight line through any pair of points. It seemed
that a clever enough mathematician could prove any theorem true or false
by reasoning from axioms.
But Gödel proved that, for most sets of axioms, there
are true theorems that cannot be deduced. In other words, most mathematical
truths can never be proved. This bombshell could easily have sent shock
waves far beyond mathematics. Physics, after all, is couched in the language
of maths, so Gödel's theorem might seem to imply that it is impossible
to write down a complete mathematical description of the Universe from which
all physical truths can be deduced. Physicists have largely ignored Gödel's
result, however. "The main reason was that the result was so abstract it
did not appear to connect directly with physics," says Cahill.
But then, in the 1980s, Gregory
Chaitin of IBM's Thomas J. Watson Research Center
in Yorktown Heights, New York, extended Gödel's work, and made a suggestive
analogy. He called Gödel's unprovable truths random truths. What does
that mean? Mathematicians define a random number as one that is incompressible.
In other words, it cannot be generated by an
algorithm--a set of instructions or rules such
as a computer program--that is shorter than the number. Chaitin defined random
truths as ones that cannot be derived from the axioms of a given formal system.
A random truth has no explanation, it just is.
Chaitin showed that a vast ocean of such truths surrounds the
island of provable theorems. Any one of them might be stumbled on by accident--an
equation might be accidentally discovered to have some property that cannot
be derived from the axioms--but none of them can be proved. The chilling
conclusion, wrote Chaitin in New Scientist, is that randomness is at the
very heart of pure mathematics (A Random Walk).
To prove his theorem, Gödel had concocted a statement that
asserted that it was not itself provable. So Gödel's and Chaitin's results
apply to any formal system that is powerful enough to make statements about
itself.
"This is where physics comes in," says Cahill. "The Universe
is rich enough to be self-referencing--for instance, I'm aware of myself."
This suggests that most of the everyday truths of physical reality, like
most mathematical truths, have no explanation. According to Cahill and Klinger,
that must be because reality is based on randomness. They believe randomness
is more fundamental than physical objects.
At the core of conventional physics is the idea that there are
"objects"--things that are real, even if they don't interact with other things.
Before writing down equations to describe how electrons, magnetic fields,
space and so on work, physicists start by assuming that such things exist.
It would be far more satisfying to do away with this layer of assumption.
This was recognised in the 17th century by the German
mathematician Gottfried
Leibniz. Leibniz believed that reality was built from things he called
monads, which owed their existence solely to their relations with each other.
This picture languished in the backwaters of science because it was hugely
difficult to turn into a recipe for calculating things,
unlike Newton's
mechanics.
But Cahill and Klinger have found a way to do it. Like Leibniz's
monads, their "pseudo-objects" have no intrinsic existence--they are defined
only by how strongly they connect with each other, and ultimately they disappear
from the model. They are mere scaffolding.
The recipe is simple: take some pseudo-objects, add a little
randomness and let the whole mix evolve inside a computer. With pseudo-objects
numbered 1, 2, 3, and so on, you can define some numbers to represent the
strength of the connection between each pair of pseudo-objects:
B12 is the strength of the connection between 1 and 2;
B13 the connection between 1 and 3; and so on. They form a
two-dimensional grid of numbers--a matrix.
The physicists start by filling their matrix with numbers that
are very close to zero. Then they run it repeatedly through a matrix equation
which adds random noise and a second,
non-linear term involving the inverse
of the original matrix. The randomness means that most truths or predictions
of this model have no cause--the physical version of Chaitin's mathematical
result. This matrix equation is largely the child of educated guesswork,
but there are good precedents for that. In 1932, for example,
Paul Dirac guessed
at a matrix equation for how electrons behave, and ended up predicting
the existence of antimatter.
What is antimatter?
R. Bingham, |
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![]() R. Michael Barnett of the Lawrence Berkeley National Laboratory and Helen Quinn (left) of the Stanford Linear Accelerator Center offer this answer, portions of which are paraphrased from their forthcoming book The Charm of Strange Quarks:
In 1930
Paul
Dirac formulated a quantum theory for the motion of electrons in electric
and magnetic fields, the first theory that correctly included
Einstein's
theory of special relativity in this context. This theory led to a surprising
prediction--the equations that described the electron also described, and
in fact required, the existence of another type of particle with exactly
the same mass as the electron, but with positive instead of negative electric
charge. This particle, which is called the
positron,
is the antiparticle of the electron, and it was the first example of antimatter.
Answer posted October 18, 1999 Scientific American RELATED LINKS:
Antimatter page
from the Particle Adventure |
When the matrix goes through the wringer again and again, most
of the elements remain close to zero, but some numbers suddenly become large.
"Structures start forming," says Cahill. This is no coincidence, as they
chose the second term in the equation because they knew it would lead to
something like this. After all, there is structure in the Universe that has
to be explained.
The structures can be seen by marking dots on a piece of paper
to represent the pseudo-objects 1, 2, 3, and so on. It doesn't matter how
they are arranged. If B23 is large, draw a line between 2 and
3; if B19 is large, draw one between 1 and 9. What results are
"trees" of strong connections, and a lot of much weaker links. And as you
keep running the equation, smaller trees start to connect to others. The
network grows.
The trees branch randomly, but Cahill and Klinger have found
that they have a remarkable property. If you take one pseudo-object and count
its nearest neighbours in the tree, second nearest neighbours, and so on,
the numbers go up in proportion to the square of the number of steps away
(click on thumbnail graphic below). This is exactly what you would get for
points arranged uniformly throughout three-dimensional space. So something
like our space assembles itself out of complete randomness. "It's downright
creepy," says Cahill. Cahill and Klinger call the trees "gebits", because
they act like bits of geometry.
![]() |
| Tree roots: pseudo - objects link up into random trees, which link into ever larger structures. The hierarchy of neighbours is just like that of points in 3D space. |
They haven't proved that this tangle of connections is like
3D space in every respect, but as they look closer at their model, other
similarities with our Universe appear. The connections between pseudo-objects
decay, but they are created faster than they decay. Eventually, the number
of gebits increases exponentially. So space, in Cahill and Klinger's model,
expands and accelerates--just as it does in our Universe, according to
observations of the recession of distant supernovae. In other words, Cahill
and Klinger think their model might explain the mysterious cosmic repulsion
that is speeding up the Universe's expansion.
And this expanding space isn't empty. Topological defects turn
up in the forest of connections--pairs of gebits that are far apart by most
routes, but have other shorter links. They are like snags in the fabric of
space. Cahill and Klinger believe that these defects are the stuff we are
made of, as described by the wave functions of quantum theory, because they
have a special property shared by quantum entities: nonlocality. In quantum
theory, the properties of two particles can be correlated, or "entangled",
even when they are so far apart that no signal can pass between them. "This
ghostly long-range connectivity is apparently outside of space," says Cahill.
But in Cahill and Klinger's model of reality, there are some connections
that act like wormholes to connect far-flung topological defects.
Even the mysterious phenomenon of quantum measurement can be
seen in the model. In observing a quantum system any detector ought to become
entangled with the system in a joint quantum state. We would see weird quantum
superpositions like
Schrödinger's
alive-and-dead cat. But we don't.
How does the quantum state "collapse" to a simple classical
one? In Cahill and Klinger's model, the nonlocal entanglements disappear
after many iterations of the matrix equation. That is, ordinary 3D space
reasserts itself after some time, and the ghostly connection between measuring
device and system is severed.
This model could also explain our individual experience of
a present moment. According to Einstein's theory of relativity, all of space-time
is laid out like a four-dimensional map, with no special "present" picked
out for us to feel. "Einstein thought an explanation of the present was beyond
theoretical physics," says Cahill. But in the gebit picture, the future is
not predetermined. You never know what it will bring, because it is dependent
on randomness. "The present is therefore real and distinct from an imagined
future and a recorded past," says Cahill.
Sand castles
But why can't we detect this random dance of the pseudo-objects? "Somehow,
in the process of generating reality, the pseudo-objects must become hidden
from view," says Cahill. To simulate this, the two physicists exploited a
phenomenon called self-organised criticality.
Self-organised criticality occurs in a wide range of systems
such as growing sand piles. Quite spontaneously, these systems reach a
critical state. If you drop sand grains one by one onto a sand pile, for
instance, they build up and up into a cone until avalanches start to
happen. The slope of the side of the cone settles down to a critical
value, at which it undergoes small avalanches and big avalanches and all
avalanches at all scales in between. This behaviour is independent of the
size and shape of the sand grains, and in general it is impossible to deduce
anything about the building blocks of a self-organised critical system from
its behaviour. In other words, the scale and timing of avalanches doesn't
depend on the size or shape of the sand grains.
"This is exactly what we need," says Cahill. "If our system
self-organises to a state of criticality, we can construct reality from
pseudo-objects and simultaneously hide them from view." The dimensionality
of space doesn't depend on the properties of the pseudo-objects and their
connections. All we can measure is what emerges, and even though gebits are
continually being created and destroyed, what emerges is smooth 3D space.
Creating reality in this way is like pulling yourself up by your bootstraps,
throwing away the bootstraps and still managing to stay suspended in mid-air.
This overcomes a problem with the conventional picture of reality.
Even if we discover the laws of physics, we are still left with the question:
where do they come from? And where do the laws that explain where they come
from come from? Unless there is a level of laws that explain themselves,
or turn out to be the only mathematically consistent set--as Steven Weinberg
of the University of Texas at Austin believes--we are left with an infinite
regression. "But it ceases to be a problem if self-organised criticality
hides the lowest layer of reality," says Cahill. "The start-up pseudo-objects
can be viewed as nothing more than a bundle of weakly linked pseudo-objects,
and so on ad infinitum. But no experiment will be able to probe this structure,
so we have covered our tracks completely."
Other physicists are impressed by Cahill and Klinger's claims.
"I have never heard of anyone working on such a fundamental level as this,"
says Roy Frieden of the University of Arizona in Tucson. "I agree with the
basic premise that 'everything' is ultimately random, but am still sceptical
of the details." He would like to see more emerge from the model before
committing himself. "It would be much more convincing if Cahill and Klinger
could show something physical--that is, some physical law--emerging from
this," says Frieden. "For example, if this is to be a model of space, I would
expect something like
Einstein's field equation for local
space curvatures emerging. Now that would be something."
"It sounds rather far-out," says John Baez of the University
of California at Riverside. "I would be amazed--though pleased--if they could
actually do what you say they claim to."
"I've seen several physics papers like this that try to get
space-time or even the laws of physics to emerge from random structures at
a lower level," says Chaitin. "They're interesting efforts, and show how
deeply ingrained the statistical point of view is in physics, but they are
difficult, path-breaking and highly tentative efforts far removed from the
mainstream of contemporary physics."
What next? Cahill and Klinger hope to find that everything--matter
and the laws of physics--emerges spontaneously from the interlinking of gebits.
Then we would know for sure that reality is based on randomness. It's a
remarkable ambition, but they have already come a long way. They have created
a picture of reality without objects and shown that it can emerge solely
out of the connections of pseudo-objects. They have shown that space can
arise out of randomness. And, what's more, a kind of space that allows both
ordinary geometry and the non-locality of quantum
phenomena--two aspects of reality which, until
now, have appeared incompatible.
Perhaps what is most impressive, though, is that Cahill and
Klinger are the first to create a picture of reality that takes into account
the fundamental limitations of logic discovered by Gödel and Chaitin.
In the words of Cahill: "It is the logic
of the limitations of logic that is ultimately
responsible for generating this new physics, which appears to be predicting
something very much like our reality."
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