Vendo e sendo visto!
Seeing and being seen!
At a public lecture in Pittsburgh in 1934, four hundred lucky students were privy to a lecture by Albert Einstein, in which the great man mathematically derived his famous mass-energy equivalence equation: E=mc2. What you see above is a photo from that lecture, and what is thought to be the only surviving photo that shows Einstein working on that derivation.
The photo was pulled from a halftone newspaper clipping by David Topper and Dwight Vincent of the University of Winnipeg, who discovered it in 2007. Sadly, everything is a bit fuzzy so you can’t really make out the famed equation itself. And even though the original article had a crisp picture of Einstein posing next to one of his blackboards, he’s next to the wrong one.
Here’s a closer look at the man and the math. If you look closely, you’ll see the mass-energy equivalence in the lower left hand corner of the blackboard on the right:
Fortunately, Topper and Vincent managed to take the blurry photo and reproduce both blackboards in their original paper. Here’s the math behind the magic, the derivation of mass-energy equivalence as presented by Albert Einstein.
In case you’re wondering why the famous equation says Δ
This is awesome!! One of the best things I’ve seen in awhile!
The Art Gallery Problem
Mathematical approach on visibility in gallery spaces - the best and efficient places within a space for maximum visibility of guards and cameras - via Wikipedia:
The art gallery problem or museum problem is a well-studied visibility problem in computational geometry. It originates from a real-world problem of guarding an art gallery with the minimum number of guards who together can observe the whole gallery. In the computational geometry version of the problem the layout of the art gallery is represented by a simple polygon and each guard is represented by a point in the polygon.
Strange Attractors by Chaotic Atmospheres
The darkest art known as Chaos Theory is perfectly embodied in the form of its strange attractors: vast looping trajectories of variables that, when plotted, conjure gorgeous yet insidiously disruptive patterns. Chaotic Atmosphere’s Math: Rules series pays tribute to the beautiful form of chaos and its inevitable collapse of all our efforts to predict it.