When I was a lad in the 1960's, I became fascinated with the "new math" of nodes and lines known as "Network Analysis."

I always wondered whatever happened to it. Well, I wonder no more!

Apparently it changed its name to Graph Theory, and since my main hobby is Quantum Gravity, that reminded me of Fotini Markopoulou-Kalamara's Quantum Graphity.

So, what is that? It's this (from 2 Wiki articles):

In mathematics, a

**random graph**is a graph that is generated by some random process.

^{[1]}The theory of random graphs lies at the intersection between graph theory and probability theory, and studies the properties of typical random graphs.

## Random graph models

A random graph is obtained by starting with a set of*n*vertices and adding edges between them at random. Different

**random graph models**produce different probability distributions on graphs. Most commonly studied is the one proposed by Edgar Gilbert, denoted

*G(n,p)*, in which every possible edge occurs independently with probability

*p*. A closely related model, the Erdős–Rényi model denoted

*G(n,M)*, assigns equal probability to all graphs with exactly

*M*edges. The latter model can be viewed as a snapshot at a particular time (

*M*) of the

**random graph process**, which is a stochastic process that starts with

*n*vertices and no edges, and at each step adds one new edge chosen uniformly from the set of missing edges.

If instead we start with an infinite set of vertices, and again let every possible edge occur independently with probability

*p*, then we get an object

*G*called an

**infinite random graph**. Except in the trivial cases when

*p*is 0 or 1, such a

*G*almost surely has the following property:

- Given any
*n*+*m*elements , there is a vertex that is adjacent to each of and is not adjacent to any of .

**random graph**. However, the analogous result is not true for uncountable graphs, of which there are many (nonisomorphic) graphs satisfying the above property.

Another model, which generalizes Gilbert's random graph model, is the

**random dot-product model**. A random dot-product graph associates with each vertex a real vector. The probability of an edge

*uv*between any vertices

*u*and

*v*is some function of the dot product

**u**•

**v**of their respective vectors.

The network probability matrix models random graphs through edge probabilities, which represent the probability

*p*

_{i,j}that a given edge

*e*

_{i,j}exists for a specified time period. This model is extensible to directed and undirected; weighted and unweighted; and static or dynamic graphs.

For the two most widely used models,

*G(n,M)*and

*G(n,p)*, are almost interchangeable

^{[2]}.

Random regular graphs form a special case, with properties that may differ from random graphs in general.

## Properties of random graphs

The theory of random graphs studies typical properties of random graphs, those that hold with high probability for graphs drawn from a particular distribution. For example, we might ask for a given value of*n*and

*p*what the probability is that

*G(n,p)*is connected. In studying such questions, researchers often concentrate on the asymptotic behavior of random graphs—the values that various probabilities converge to as

*n*grows very large. Percolation theory characterizes the connectedness of random graphs, especially infinitely large ones.

*(threshold functions, evolution of G~)*

Random graphs are widely used in the probabilistic method, where one tries to prove the existence of graphs with certain properties. The existence of a property on a random graph can often imply, via the famous Szemerédi regularity lemma, the existence of that property on almost all graphs.

## Random trees

Main article: random tree

A random tree is a tree or arborescence that is formed by a stochastic process. Types of random trees include uniform spanning tree, random minimal spanning tree, random binary tree, treap, rapidly-exploring random tree, Brownian tree, and random forest.## History

Random graphs were first defined by Paul Erdős and Alfréd Rényi in their 1959 paper "On Random Graphs"^{[3]}and independently by Gilbert in his paper "Random graphs"

^{[4]}.

## See also

The term*refers to invariance principles that have been used in some discrete approaches to quantum gravity where the diffeomorphism invariance of general relativity can be extended to a covariance under any permutation of spacetime events.*

**event symmetry**^{[1]}

## The principle of event symmetry

### What it means

The task to find such a theory of quantum gravity is one of the major scientific endeavours of our time. Many physicists believe that string theory is the leading candidate, but string theory has so far failed to provide an adequate description of the big bang, and its success is just as incomplete in other ways. That could be because physicists do not really know what the correct underlying principles of string theory are, so they do not have the right formulation that would allow them to answer the important questions. In particular, string theory treats spacetime in quite an old fashioned way even though it indicates that spacetime must be very different at small scales from what we are familiar with.

General relativity by contrast, is a model theory based on a geometric symmetry principle from which its dynamics can be elegantly derived. The symmetry is called general covariance or diffeomorphism invariance. It says that the dynamical equations of the gravitational field and any matter must be unchanged in form under any smooth transformation of spacetime coordinates. To understand what that means you have to think of a region of spacetime as a set of

*events*, each one labelled by unique values of four coordinate values x,y,z, and t. The first three tell us

*where*in space the event happened, while the fourth is time and tells us

*when*it happened. But the choice of coordinates that are used is arbitrary, so the laws of physics should not depend on what the choice is. It follows that if any smooth mathematical function is used to map one coordinate system to any other, the equations of dynamics must transform in such a way that they look the same as they did before. This symmetry principle is a strong constraint on the possible range of equations and can be used to derive the laws of gravity almost uniquely.

The principle of general covariance works on the assumption that spacetime is smooth and continuous. Although this fits in with our normal experience, there are reasons to suspect that it may not be a suitable assumption for quantum gravity. In quantum field theory, continuous fields are replaced with a more complex structure that has a dual particle-wave nature as if they can be both continuous and discrete depending on how you measure them. Research in string theory and several other approaches to quantum gravity suggest that spacetime must also have a dual continuous and discrete nature, but without the power to probe spacetime at sufficient energies it is difficult to measure its properties directly to find out how such a quantised spacetime should work.

This is where event symmetry comes in. In a discrete spacetime treated as a disordered set of events it is natural to extend the symmetry of general covariance to a discrete event symmetry in which any function mapping the set of events to itself replaces the smooth functions used in general relativity. Such a function is also called a permutation, so the principle of event symmetry states that the equations governing the laws of physics must be unchanged when transformed by any permutation of spacetime events.

### How it works

It is not immediately obvious how event symmetry could work. It seems to say that taking one part of space time and swapping it with another part a long distance away is a valid physical operation and that the laws of physics have to be written in such a way that this is supported. Clearly this symmetry can only be correct if it is hidden or broken. To get this in perspective consider what the symmetry of general relativity seems to say.A smooth coordinate transformation or diffeomorphism can stretch and twist spacetime in any way so long as it is not torn. The laws of general relativity are unchanged in form under such a transformation. Yet this does not mean that objects can be stretched or bent without being opposed by a physical force. Likewise, event symmetry does not mean that objects can be torn apart in the way the permutations of spacetime would make us believe. In the case of general relativity the gravitational force acts as a background field that controls the measurement properties of spacetime. In ordinary circumstances the geometry of space is flat and Euclidean and the diffeomorphism invariance of general relativity is hidden thanks to this background field. Only in the extreme proximity of a violent collision of black holes would the flexibility of spacetime become apparent. In a similar way, event symmetry could be hidden by a background field that determines not just the geometry of spacetime, but also its topology.

General relativity is often explained in terms of curved spacetime. We can picture the universe as the curved surface of a membrane like a soap film which changes dynamically in time. The same picture can help us understand how event symmetry would be broken. A soap bubble is made from molecules which interact via forces that depend on the orientations of the molecules and the distance between them. If you wrote down the equations of motion for all the molecules in terms of their positions, velocities and orientations, then those equations would be unchanged in form under any permutation of the molecules (which we will assume to be all the same). This is mathematically analogous to the event symmetry of spacetime events. The equations may be different, and unlike the molecules on the surface of a bubble, the events of spacetime are not embedded in a higher dimensional space, yet the mathematical principle is the same.

Physicists do not presently know if event symmetry is a correct symmetry of nature, but the example of a soap bubble shows that it is a logical possibility. If it can be used to explain real physical observations then it merits serious consideration.

### Maximal Permutability

American philosopher of physics John Stachel has used permutability of spacetime events to generalize Einstein's hole argument^{[2]}. Statchel uses the term quiddity to describe the universal qualities of an entity and haecceity to describe its individuality. He makes use of the analogy with quantum mechanical particles, that have quiddity but no haecceity. The permutation symmetry of systems of particles leaves the equations of motion and the description of the system invariant. This is generalised to a

*principle of maximal permutability*

^{[3]}that should be applied to physical entities. In an approach to quantum gravity where spacetime events are discrete, the principle implies that physics must be symmetric under any permutations of events, so the principle of event symmetry is a special case of the principle of maximal permutability.

Stachel's view builds on the work of philosophers such as Gottfried Leibniz whose monadology proposed that the world should be viewed only in terms of relations between objects rather than their absolute positions. Ernst Mach used this to formulate his relational principle which influenced Einstein in his formulation of general relativity. Some quantum gravity physicists believe that the true theory of quantum gravity will be a relational theory with no spacetime. The events of spacetime are then no longer a background in which physics happens. Instead they are just the set of events where an interaction between entities took place. Characteristics of spacetime that we are familiar with (such as distance, continuity and dimension) should be emergent in such a theory, rather than put in by hand.

## Quantum Graphity and other random graph models

In a random graph model of spacetime, points in space or events in spacetime are represented by nodes of a graph. Each node may be connected to any other node by a link. In mathematical terms this structure is called a graph. The smallest number of links that it takes to go between two nodes of the graph can be interpreted as a measure of the distance between them in space. The dynamics can be represented either by using a Hamiltonian^{[disambiguation needed]}formalism if the nodes are points in space, or a Lagrangian formalism if the nodes are events in spacetime. Either way, the dynamics allow the links to connect or disconnect in a random way according to specified probability rule. The model is event-symmetric if the rules are invariant under any permutation of the graph nodes.

The mathematical discipline of random graph theory was founded in the 1950s by Paul Erdős and Alfréd Rényi

^{[4]}. They proved the existence of sudden changes in characteristics of a random graph as parameters of the model varied. These are similar to phase transitions in physical systems. The subject has been extensively studied since with applications in many areas including computation and biology. A standard text is "Random Graphs" by Béla Bollobás

^{[5]}.

Application to quantum gravity came later. Early random graph models of space-time have been proposed by Frank Antonsen (1993)

^{[6]}, Manfred Requardt (1996)

^{[7]}and Thomas Filk (2000)

^{[8]}. Tomasz Konopka, Fotini Markopoulou-Kalamara, Simone Severini and Lee Smolin of the Canadian Perimeter Institute for Theoretical Physics introduced a graph model that they called

**Quantum Graphity**

^{[9]},

^{[10]}

^{[11]}. An argument based on quantum graphity combined with the holographic principle can resolve the horizon problem and explain the observed scale invariance of cosmic background radiation fluctuations without the need for cosmic inflation

^{[12]}.

In the quantum graphity model, points in spacetime are represented by nodes on a graph connected by links that can be

*on*or

*off*. This indicates whether or not the two points are directly connected as if they are next to each other in spacetime. When they are

*on*the links have additional state variables which are used to define the random dynamics of the graph under the influence of quantum fluctuations and temperature. At high temperature the graph is in

*Phase I*where all the points are randomly connected to each other and no concept of spacetime as we know it exists. As the temperature drops and the graph cools, it is conjectured to undergo a phase transition to a

*Phase II*where spacetime forms. It will then look like a spacetime manifold on large scales with only near-neighbour points being connected in the graph. The hypothesis of quantum graphity is that this

*geometrogenesis*models the condensation of spacetime in the big bang.

## Event symmetry and string theory

String theory is formulated on a background spacetime just as quantum field theory is. Such a background fixes spacetime curvature which in general relativity is like saying that the gravitational field is fixed. However, analysis shows that the excitations of the string fields act as gravitons which can perturb the gravitational field away from the fixed background, so string theory is actually a theory which includes dynamic quantised gravity. More detailed studies have shown that different string theories in different background spacetimes can be related by dualities. There is also good evidence that string theory supports changes in topology of spacetime. Relativists have therefore criticised string theory for not being formulated in a background independent way, so that changes of spacetime geometry and topology can be more directly expressed in terms of the fundamental degrees of freedom of the strings.The difficulty in achieving a truly background independent formulation for string theory is demonstrated by a problem known as Witten's Puzzle

^{[13]}. Ed Witten asked the question "What could the full symmetry group of string theory be if it includes diffeomorphism invariance on a spacetime with changing topology?". This is hard to answer because the diffeomorphism group for each spacetime topology is different and there is no natural way to form a larger group containing them all such that the action of the group on continuous spacetime events makes sense. This puzzle is solved if the spacetime is regarded as a discrete set of events with different topologies formed dynamically as different string field configurations. Then the full symmetry need only contain the permutation group of spacetime events. Since any diffeomorphism for any topology is a special kind of permutation on the discrete events, the permutation group does contain all the different diffeomorphism groups for all possible topologies.

There is some evidence from Matrix Models that event-symmetry is included in string theory. A random matrix model can be formed from a random graph model by taking the variables on the links of the graph and arranging them in a N by N square matrix, where N is the number of nodes on the graph. The element of the matrix in the n

^{th}column and m

^{th}row gives the variable on the link joining the n

^{th}nodes to the m

^{th}node. The event-symmetry can then be extended to a larger N dimensional rotational symmetry.

In string theory, random matrix models were introduced to provide a non-perturbative formulation of M-Theory using noncommutative geometry. Coordinates of spacetime are normally commutative but in noncommutative geometry they are replaced by matrix operators that do not commute. In the original M(atrix) Theory these matrices were interpreted as connections between instantons (also known as D0-branes), and the matrix rotations were a gauge symmetry. Later, Iso and Kawai reinterpreted this as a permutation symmetry of space-time events

^{[14]}and argued that diffeomorphism invariance was included in this symmetry. The two interpretations are equivalent if no distinction is made between instantons and events, which is what would be expected in a relational theory. This shows that Event Symmetry can already be regarded as part of string theory.

## Trivia

### Greg Egan's Dust Theory

The first known publication of the idea of event symmetry is in a work of science fiction rather than a journal of science. Greg Egan used the idea in a short story called "Dust" in 1992^{[15]}and expanded it into the novel Permutation City in 1995. Egan used dust theory as a way of exploring the question of whether a perfect computer simulation of a person differs from the real thing. However, his description of the dust theory as an extension of general relativity is also a consistent statement of the principle of event symmetry as used in quantum gravity.

The essence of the argument can be found in chapter 12 of "Permutation City". Paul, the main character of the story set in the future, has created a copy of himself in a computer simulator. The simulation runs on a distributed network which is sufficiently powerful to emulate his thoughts and experiences. Paul argues that the events of his simulated world have been remapped to events in the real world by the computer in a way that resembles a coordinate transformation in relativity. General relativity only allows for covariance under continuous transformations whereas the computer network has formed a discontinuous mapping which permutes events like "a cosmic anagram". Yet Paul's copy in the simulator experiences physics as if it was unchanged. Paul realises that this is "Like […] gravity and acceleration in General Relativity — it all depends on what you can't tell apart. This is a new Principle of Equivalence, a new symmetry between observers."

## 3 comments:

For the Lubosian Rant on this subject, click here.

I'll pass on the rant, I'm not even sure what "Lubosian" means??? but your post made me wonder about a particular type of problem....take a set of vertices, say four points at the vertices of a square. You start at one and randomly select a path to another... continuing until you return to the original point.. what is the average distance traveled?

Lubosian refers to Lubos Motl, PhD Physics, and staunch defender of the Religion of String Theory, at his blog The Reference Frame.

He is the Yin to the Yang (or vice versa .... Duality!) to Peter Woit, PhD. Physics, now at the Math department at Columbia University, whose Not Even Wrong weblog and book are highly critical of String Theory, as Physics.

As far as your question goes, Professor ... interesting question! Who do I look like, Leonhard Euler? lol

Well, I was wondering what to do with my free time today, and your question just took care of that problem! will get back to you. :-)

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