From: baez@math.removethis.ucr.andthis.edu (John Baez) Subject: This Week's Finds in Mathematical Physics (Week 297) Organization: University of California, Riverside Sender: baez@math.removethis.ucr.andthis.edu (John Baez) Newsgroups: sci.physics.research,sci.physics,sci.math Also available at http://math.ucr.edu/home/baez/week297.html May 9, 2010 This Week's Finds in Mathematical Physics (Week 297) John Baez This week I'll talk about electrical circuits and Dirichlet forms. But first: knot sculptures, special relativity in finance, lazulinos, some peculiar infinite sums, and a marvelous fact about the number 12. Here are some cool sculptures of knots by Karel Vreeburg: 1) Karel Vreeburg, http://www.karelvreeburg.nl/site/kunstwerken/357933_Beelden.html The polished forms emerge from rough stone much as mathematical abstractions emerge from physical reality. And I'm reminded of what Michelangelo said: "Every block of stone has a statue inside it, and the task of the sculptor is to discover it." Next - remember that big glitch in the stock market last Thursday, when the Dow Jones dropped 9.2% in less than an hour, and then bounced back? For a while, about a trillion dollars had evaporated! The worst part is, nobody knows why. But apparently one part of the problem was that some electronic communication systems were lagging behind, seeing a delayed view of what was really going on. But guess how long this lag was. Just 0.1 seconds! That's only three quarters the time it takes light to circle the Earth. But these days it's considered an unacceptably long time for computer trading. So, we've reached the point where special relativity is important in economics! The Newtonian concept of "the same time at different places" is no longer adequate: A 1-millisecond advantage in trading applications can be worth $100 million a year to a major brokerage firm, by one estimate. The fastest systems, running from traders' desks to exchange data centers, can execute transactions in a few milliseconds - so fast, in fact, that the physical distance between two computers processing a transaction can slow down how fast it happens. This problem is called data latency - delays measured in split seconds. To overcome it, many high-frequency algorithmic traders are moving their systems as close to the Wall Street exchanges as possible. This quote is from: 2) Richard Martin, Wall Street's quest to process data at the speed of light, Information Week, April 23, 2007. Also available at http://www.informationweek.com/news/infrastructure/showArticle.jhtml?articleID=199200297 See also: 3) Kid Dynamite's World, Market Speed Bumps, http://fridayinvegas.blogspot.com/2010/05/market-speed-bumps.html where someone comments: What I suspect happened (following on moments after KD's explanation ends) is that some meaningful trigger point on stop loss orders was exceeded. This could have been a small wave of selling from Bloomberg running the video of the crowd getting agitated in Greece (which was at about 2:40PM EST), but whatever the case - a wave of selling started. That in turn brought the price down, which triggered some stop loss orders, which in turn fueled more stop loss orders, along with any humans and machines that just sold on the steep drop. However, given the heavy volume at the time, the HFT systems that would normally jump in (albeit at much lower bids) didn't even get to see accurate representations of the order books, because I was seeing at least a 100ms delay in quotes from ARCA (the only ECN I measured accurately). So, at least with ARCA and probably the other exchanges as well, everyone was running with at least a 100ms delayed snapshot of the world. Given that I stopped calculating this delay when my own software shutdown at 2:41PM (4 minutes before the peak of chaos), this is probably understating matters somewhat. If you can't see that the order book is missing bids because you are operating 100ms behind the actual trades taking place, then there is a meaningful window when the bids in the order book can all be taken out before anyone even knows that they should be placing bids! Further, once you recognize that you are operating with stale information (and 100ms is quite stale if you are seeing the markets plunge the way they were), there is no way you are going to enter orders, since you don't have any clue where to place them, and if you do - you place them with much wider spreads than normal, which in conjunction with market sell orders brings the trading price down along with the bid/ask midpoint. I guess it's just a matter of time before *general* relativity becomes important in finance. I thank Mike Stay and Henry Baker for bringing this issue to my attention. I also enjoyed this blog post by Mike: 4) Mike Stay, Lazulinos, http://reperiendi.wordpress.com/2010/04/27/lazulinos/ It's about a newly discovered quasiparticle with astounding properties. If you want to really understand what's going on, read the paper by Alexander Craigie - there's a link at the end of Mike's post. Next, an observation from Robert Baillie. Take this series: Pi/Sqrt(8) = 1 + 1/3 - 1/5 - 1/7 + 1/9 + 1/11 - ... Square each term, add them up... and you get the square of the previous sum: Pi^2/8 = 1 + 1/3^2 + 1/5^2 + 1/7^2 + 1/9^2 + 1/11^2 + ... Don't tell undergraduates about this - they are already confused enough! And finally, a comment from Nora Ganter. If you look at the cohomology of the symmetric groups, you find an element of order 12 in H^3(S_n,Q/Z) for n greater or equal to 4. But the third cohomology of a group classifies ways of extending it to a 2-group. So whenever you realize a finite group as a group of permutations of 4 or more things, you automatically get a way of extending it to a 2-group! I would like to understand this better. In particular, the number 12 here should be related to the fact that pi_{k+3}(S^k) = Z/24 for k >= 5. After all, stable homotopy groups of spheres are related to the cohomology of symmetric groups, since the group completion of the classifying space of the groupoid of finite sets is Omega^infinity S^infinity - see "week199" if you don't know what I'm talking about here. But I'm confused about the numbers 12 versus 24 here, and also the role of Q/Z coefficients. Does someone know a place where you can look up cohomology groups of the symmetric groups? Next: electrical circuits! Last week I discussed electrical circuits made of (linear) resistors and "grounds" - places where wires touch an object whose electrostatic potential is zero. I want to fill in some missing pieces today. Suppose we have such a circuit with n wires dangling out of it. I've been calling these "inputs" and "outputs" - but today I don't care which ones are inputs and which ones are outputs, so let's call them all "terminals". We saw last time that our circuit gives a function Q: R^n -> R This tells you how much power the circuit uses as a function of the electrostatic potential at each terminal. It's pretty easy to see that Q is a "quadratic form", meaning that Q(phi) = sum_{i,j} Q_{ij} phi_i phi_j for some matrix Q_{ij}, which we can assume is symmetric. And it's easy to see that Q is "nonnegative", meaning Q(phi) >= 0 I wildly guessed that every nonnegative quadratic form comes from a circuit made of resistors and grounds. Since then I've learned a few things, thanks to Ben Tilly and Tom Ellis. For starters, which nonnegative quadratic forms do we get from circuits built only from resistors? We certainly don't get all of them. For example, if n = 2, every circuit built from just resistors has Q(phi) = c (phi_1 - phi_2)^2 for some nonnegative number c. So, we'll never get this quadratic form: Q(phi) = (phi_1 + phi_2)^2 even though it's nonnegative. In general, for any n, we can get a lot of quadratic forms just by connecting each terminal to each other with a resistor. Such circuits give precisely these quadratic forms: Q(phi) = sum_{i,j} c_{ij} (phi_i - phi_j)^2 where the numbers c_{ij} are nonnegative. We can assume without loss of generality that c_{ii} = 0. The numbers c_{ij} are *reciprocals* of resistances, so we're allowing resistors with infinite resistance, but not with zero resistance. It turns out that quadratic forms of the above type are famous: they're called "Dirichlet forms". People have characterized them in lots of ways. Here's one: they're the nonnegative quadratic forms that vanish when phi is constant: phi_i = phi_j for all i,j implies Q(phi) = 0 and also satisfy the "Markov property": Q(phi) >= Q(psi) when psi_i is the minimum of phi_i and 1. This characterization is Proposition 1.7 here: 5) Christophe Sabot, Existence and uniqueness of diffusions on finitely ramified self-similar fractals, Section 1: Dirichlet forms on finite sets and electrical networks, Annales Scientifiques de l'École Normale Supérieure, Sér. 4, 30 (1997), 605-673. Available at http://www.numdam.org/numdam-bin/item?id=ASENS_1997_4_30_5_605_0 Sabot doesn't prove this result, which he considers "well known". Instead, he points us to this book, which is not only fun to read, but also free: 6) P. G. Doyle and J. L. Snell, Random Walks and Electrical Circuits, Mathematical Association of America, 1984. Also available at http://www.math.dartmouth.edu/~doyle/ You may wonder what random walks and diffusions on fractals have to do with electrical circuits! The idea is that we can take a limit of electrical circuits that get more and more complicated and get a *fractal*. The electrical conductivity of this fractal can be reinterpreted as heat conductivity, using the analogies described back in "week289". And then we can study the heat equation on this fractal. This equation says how heat diffuses with the passage of time. But there's nothing special about *heat*. We can use the heat equation to describe the diffusion of just about anything. We could even use it to describe the diffusion of tiny drunken men who stumble around aimlessly on our fractal! And that's where "random walks" come in. It turns out that in situations like this, the heat equation is completely determined by a quadratic form called a "Dirichlet form". But it's not a quadratic form on R^n anymore: it's a quadratic form on a space of real-valued functions on our fractal. In fact Dirichlet forms were first studied, not for finite sets or fractals, but for nice regions in Euclidean space - the sort of regions you'd normally consider when studying the heat equation. In this case the Dirichlet form arises from the Laplacian: Q(phi) = - integral phi Laplacian(phi) where phi is a function on our region. The moral is that we should think of any Dirichlet form as a generalized Laplacian! There's a huge literature on Dirichlet forms. Most of it focuses on analytical subleties that don't matter for our pathetically simple examples. For a little taste, try this review of two books on Dirichlet forms: 7) Review by Daniel Stroock, Bull. Amer. Math. Soc. 33 (1996) 87-92. Also available at http://www.ams.org/journals/bull/1996-33-01/S0273-0979-96-00617-9/ Among other things, he mentions a simpler characterization of Dirichlet forms. We're only considering quadratic forms Q: R^n -> R and it turns out such a form is Dirichlet iff Q(phi) >= Q(psi) whenever |phi_i - phi_j| >= |psi_i - psi_j| for all i,j. It's a fun exercise to see that this is equivalent to our previous characterization. And there's a simple physical idea behind this one: a circuit made of resistors will use more power when the potentials at different terminals differ by bigger amounts! Okay... I'm digressing a bit. Let's get back on track. We've seen that the quadratic form of a circuit made from resistors is Dirichlet whenever the circuit is of a special form: namely, when it has one resistor connecting each pair of terminals. But what about other circuits made from resistors, like this? x x | | o-----------o / \ | / \ | / o--------o | / \ | | / \ | o---o-----o-----o | | | x x x Here the x's are the terminals, but there are also other vertices, which I'll call "internal vertices". Also, not every vertex is connected to every other vertex. Do we get a larger class of quadratic forms if we allow more general circuits like this? No! All we get are Dirichlet forms! For starters, it doesn't matter that not every vertex is connected to every other vertex. We can connect them with wires that have infinite resistance, and nothing changes. (Remember, we're allowing infinite resistance.) So, the only interesting thing is the presence of "internal vertices". Why are the quadratic forms of circuits with internal vertices still Dirichlet forms? This follows from Sabot's Proposition 1.8. Let me explain the idea. Suppose, for example, that we have a nonnegative quadratic form in 3 variables Q: R^3 -> R Then we can get a quadratic form in 2 variables by taking the minimum of Q as the third variable ranges freely: P(phi_1, phi_2) = min_{phi_3} Q(phi_1, phi_2, phi_3) Physically this corresponds to taking a circuit with 3 terminals, like this: x x \ / \ / \ / \ / x and treating it as a circuit with 2 terminals by regarding the third terminal as an internal vertex: x x \ / \ / \ / \ / o This means we let the potential at this vertex vary freely; by the principle of minimum power, it will do whatever it takes to minimize the power. So, we get a new circuit whose quadratic form is P(phi_1, phi_2) = min_{phi_3} Q(phi_1, phi_2, phi_3) More generally, we can take a nonnegative quadratic form in n variables, and take any subset of these variables, and get a new quadratic form by this minimization trick. And Sabot claims that if the original form was Dirichlet, so is the new one. He doesn't prove this, but I think it's easy - try it! Sabot calls this trick for getting new Dirichlet forms from old ones the "trace map". He also describes another trick, the "gluing map". This lets us take the Dirichlet form of a circuit and get a new Dirichlet form by gluing together some terminals. For example, we could start with this circuit: x x \ / \ / \ / \ / x and glue the top two terminals together, getting this circuit: x / \ / \ \ / \ / x Both the trace map and the gluing map have interesting category- theoretic interpretations. For example, the gluing map lets us *compose* electrical circuits - or more precisely, their Dirichlet forms - by gluing the outputs of one onto the inputs of another. Finally, suppose we allow grounds as well as resistors. Sabot considers circuits of this sort in the following beautiful paper: 8) Christophe Sabot, Electrical networks, symplectic reductions, and application to the renormalization map of self-similar lattices, Proc. Sympos. Pure Math. 72 (2004), 155-205. Also available as arXiv:math-ph/0304015. He only considers circuits of a special form. They have no internal vertices, just terminals. As before, each pair of terminals is connected with a resistor. But now, each terminal is also connected to the ground via a resistor! Such circuits give exactly these quadratic forms: Q(phi) = sum_{i,j} c_{ij} (phi_i - phi_j)^2 + sum_i c_i phi_i^2 where c_{ij} and c_i are nonnegative numbers. Let's call these "generalized Dirichlet forms". I believe these generalized Dirichlet forms are characterized by the Markov property: Q(phi) >= Q(psi) when psi_i is the minimum of phi_i and 1. These generalized Dirichlet forms don't include *all* the nonnegative quadratic forms. Why? Because, as Ben Tilly pointed out, they don't include quadratic forms where the cross-terms phi_i phi_j have positive coefficients. So, for example, we don't get this: Q(phi_1, phi_2) = (phi_1 + phi_2)^2 Sabot claims that generalized Dirichlet forms are closed under the trace map and gluing. Given this, the same argument I already sketched shows that *every* electrical circuit built from resistors and grounds has a quadratic form that's a generalized Dirichlet form! So, it's all been worked out... Even better, Sabot explains how quadratic forms on a vector space V give Lagrangian subspaces of T*V. This is the trick I used last week to introduce wires of zero resistance. A wire with zero resistance would use an infinite amount of power if you put a different electrostatic potential at each end. KABANG! - the ultimate "short circuit"! So, wires with zero resistance are not physical realistic, but they're useful idealizations: they serve as identity morphisms in the category-theoretic description of electrical circuits. Circuits containing these wires can still be described using Lagrangian subspaces. These subspaces *don't* come from quadratic forms. But they are limits of subspaces that do. Now we can make this more precise. There's a manifold consisting of all Lagrangian subspaces of T*V - the "Lagrangian Grassmannian". Sitting in here is the set of generalized Dirichlet forms on V. We can take the closure of that set and get a space C(V). Points in C(V) correspond to circuits built from resistors, grounds, and wires of zero resistance. Sabot says this space is discussed here: 9) Y. Colin de Verdiere, Reseaux electriques planaires I, Comment. Math. Helv. 69 (1994), 351-374. Also available at http://www-fourier.ujf-grenoble.fr/~ycolver/All-Articles So, Sabot, Verdiere and the rest of the Dirichlet form crowd have done almost everything I want... *except* phrase their results in the language of category theory! And that, of course, is my real goal: to develop category theory as a language for physics and engineering. Last week I gave a preliminary try at describing a category whose morphisms are electrical circuits built from resistors and grounds. I said: Claim: there is a dagger-compact category where: An object is a finite-dimensional real vector space. A morphism S: V -> W is a Lagrangian subspace of T*V x T*W. We compose morphisms using composition of relations. The tensor product is given by direct sum. The symmetry is the obvious thing. The dagger of a subspace of T*V x T*W is the corresponding subspace of T*W x T*V. The problem was that this category has too many morphisms. If we only want physically realistic circuits - or *almost* realistic ones, since we're allowing wires of zero resistance - we should work not with all Lagrangian subspaces of T*(R^m) x T*(R^n), but only those lying in the subset C(R^m x R^n). So, let's try: Claim: there is a dagger-compact category where: An object is a natural number n. A morphism S: m -> n is a point in C(R^m x R^n). We compose morphisms using composition of relations. The tensor product is given by direct sum. The symmetry is the obvious thing. The dagger of a subspace of C(R^m x R^n) is the corresponding subspace of C(R^n x R^m) There are a few things to check here. I haven't checked them all. By the way: in case you actually want to study this stuff, I should point out that Sabot's second paper uses "Dirichlet form" to mean what I'm calling a generalized Dirichlet form, and uses "conservative Dirichlet form" to mean what I'm calling a Dirichlet form. So, be careful. Also, here's another worthwhile reference: 10) Jun Kigami, Analysis on Fractals, Cambridge U. Press. First 60 pages available at http://www-an.acs.i.kyoto-u.ac.jp/~kigami/AOF.pdf It's full of information on Dirichlet forms and electrical circuits. And it gives yet another characterization of Dirichlet forms! I don't love it - but I might as well tell you about it. A Dirichlet form on R^n is a nonnegative quadratic form that vanishes when phi is constant: phi_i = phi_j for all i,j implies Q(phi) = 0 and satisfies Q(phi) >= Q(psi) whenever psi_i = phi_i if 0 < phi_i < 1 1 if phi_i > 1 0 if phi_i < 0 This is yet another way to say that power decreases when the potentials at the terminals are closer together. Kigami also explains the relation between Dirichlet forms and Markov processes. His Theorem B.3.4. says that for a measure space X, there is a one-to-one correspondence between Dirichlet forms on L^2(X) and strongly continuous semigroups on L^2(X) that map functions in L^1(X) to functions of the same sort, and map nonnegative functions whose integral is 1 to functions of the same sort. Such semigroups are called "Markov". The classic example is provided by the heat equation! But in our electrical circuit example, we're considering the pathetically simple case where X is a finite set. One simple thing that deserves to be emphasized is that a Dirichlet form is not a kind of quadratic form on an abstract vector space. It's a kind of quadratic form on a space of functions! In particular, in my discussion above, R^n really means the algebra of functions on an n-element set - and in the second dagger-compact category mentioned above, the objects should really be finite sets. I was just working with a skeletal subcategory, to make things less intimidating. Okay, I'll stop here for now. Later I want to bring inductors and capacitors into the game... and loop groups! ----------------------------------------------------------------------- Quote of the Week: "Discussions about theoretical engineering research often feels like visiting a graveyard in the company of Nietzsche. From the beginning of my career until now, I have always been hearing that 'the field is dead', 'circuit theory is dead', 'information theory is dead', 'coding theory is dead', 'control theory is dead', 'system theory is dead', 'linear system theory is dead', 'H_infinity is dead'. Good science, however, is always alive. The community may not appreciate the vibrancy of good ideas, but it is there. The absence of this impatience is one of the things that makes working in a mathematics department simply more pleasant." - Jan C. Willems ----------------------------------------------------------------------- Addendum: My friend Bruce Smith wrote: I can't tell for sure, from what you wrote about grounds in week297 (and the last few Weeks), whether you are aware of this way to think about them: there is a 1-1 correspondence between circuits that can include grounds, and circuits that can't. To implement it, starting with a circuit that can include grounds, just add an extra terminal, call it "G" for "ground", and replace every internal ground with a 0-resistance connection to that terminal G. Also, in your thinking about potentials at terminals, replace "the potential at T_i" with "the potential difference between T_i and G" (or equivalently but differently, require that the potential at G is always 0). (I'm pretty sure you must be aware of this, but somehow it didn't show up as a simplifier in your explanation as much as, or as explicitly as, I thought it ought to.) If 0 resistance bothers you, note that it can be reduced away (by eliminating internal terminals in your resulting circuit) unless you had a ground directly connected to a terminal; if you were allowing that, then in your new circuit you'd better be allowing direct connections between two terminals, but I presume that whatever difficulties this causes in either case are essentially the same. For more discussion, visit the n-Category Cafe at: http://golem.ph.utexas.edu/category/2010/05/this_weeks_finds_in_mathematic_58.html ----------------------------------------------------------------------- Previous issues of "This Week's Finds" and other expository articles on mathematics and physics, as well as some of my research papers, can be obtained at http://math.ucr.edu/home/baez/ For a table of contents of all the issues of This Week's Finds, try http://math.ucr.edu/home/baez/twfcontents.html A simple jumping-off point to the old issues is available at http://math.ucr.edu/home/baez/twfshort.html If you just want the latest issue, go to http://math.ucr.edu/home/baez/this.week.html