And, as an added bonus, the setup doubles as a great Death Eater themed Halloween decoration. If you do want to try this at home, I should say, be super careful with the laser, make sure not to point it near anyone's eyes. This concern is especially relevant when the laser is spread along a full plane, basically treat it like a gun. Also, credit where credit is due, I'd like to point out that after we did this we found that the channel Nighthawk and Light has a video doing a similar demo, link in the description. Even though our original plan was to illuminate vortex rings, I actually think the most notable part of this visual is how it sheds light on what ordinary airflow in a room looks like, in all of its intricacy and detail. We call this chaotic flow turbulence, and just as vortex rings give an example of unexpected order in the otherwise messy world of fluid dynamics, I'd like to share with you a more subtle instance of order amidst chaos in the math of turbulence. First off, what exactly is turbulence? The term is familiar to many of us as that annoying thing that makes plane rides bumpy, but nailing down a specific definition is a little tricky. It's easiest to describe qualitatively. Turbulence involves many swirling eddies, it's chaotic, and it mixes things together. One approach here would be to describe turbulence based on what it's not, laminar flow. This term stems from the same Latin word that lamination does lamina, meaning a thin layer of a material, and it refers to smooth flow in a fluid, where the moving particles stay largely confined to distinct layers. Turbulence, in contrast, contains many eddies, points of some vorticity, also known as positive curl, also known as a high swirly factor, breaking down the notion of distinct layers. However, vorticity does not necessarily imply that a flow is turbulent. Patterns like whirlpools or even smoke rings have high vorticity since the fluid is rotating, but can nevertheless be smooth and predictable. Instead, turbulence is further characterized as being chaotic, meaning small changes to the initial conditions result in large changes to the ensuing patterns. It's also diffusive in the sense of mixing together different parts of the fluid, and diffusing the energy and momentum from isolated parts of the fluid to the rest. Notice how in this clip, over time, the image shifts from having a crisp delineation between fog and air to instead being a murky mixture of both of them. As to something more mathematically precise, there's not really a single widely agreed upon clear-cut criterion the way there is for most other terms in math. The intricacy of the patterns you're seeing is mirrored by a difficulty to parse the physics describing all of this, and that can make the notion of a rigorous definition somewhat slippery. You see, the fundamental equations describing fluid dynamics, the Navier-Stokes equations, are famously challenging to understand. We won't go through the full details here, but if you're curious, the main equation is essentially a form of Newton's second law, that the acceleration of a body times its mass equals the sum of the forces acting on it. It's just that writing mass times acceleration looks a bit more complicated in this context, and the force is broken down into the different types of forces acting on a fluid, which again can look a bit intimidating in the context of continuum dynamics. Not only are these hard to solve in the sense of feeding in some initial state of a fluid and figuring out how the equations predict that fluid will evolve, there are several unsolved problems around a much more modest task of understanding whether or not quote-unquote reasonable solutions will always exist. Reasonable here means things like not blowing up to a point of having infinite kinetic energy, and that smooth initial states yield smooth solutions, where the word smooth carries with it a very precise meaning in this context. The questions formalizing the idea of these equations predicting reasonable behavior actually have a $1 million prize associated with them. And all of that is just for the case of incompressible fluid flow, where something compressible like air makes things trickier still. And the heart of the difficulty, both for the specific solutions and the general theoretical results surrounding them, is that tricky-to-pin-down phenomenon of turbulence. But we're not completely in the dark. The hard work of a lot of smart people throughout history has led us to understanding some of the patterns underlying this chaos, and I'd like to share with you one found by the 19th century mathematician Andrei Komagorov. It has to do with how kinetic energy in turbulent motion is distributed at different length scales.