Exploring Optimal Transport with Mathematician Alessio Figalli

Mon Jul 28 2025 09:22:11 GMT+0300 (Eastern European Summer Time)
Exploring Optimal Transport with Mathematician Alessio Figalli

Alessio Figalli, an ETH Zurich mathematician, dives into optimal transport's real-world applications from clouds to chatbots.


In an engaging dialogue, Dr. Figalli reflects on the relevance and permanence of mathematical theorems while elaborating on the historical context of optimal transport.

In a recent interview, Alessio Figalli, a renowned mathematician, shed light on the concept of optimal transport, which aims at the most efficient allocation of starting points to end points. Figalli, who serves at ETH Zurich and the Institute for Advanced Study in Princeton, is fascinated by the field's wide-ranging applications, from understanding the movement of clouds to streamlining logistics for bakeries and coffee shops.

The term 'optimal,' derived from the Latin word 'optimus,' signifies making the best choices in various scenarios. Dr. Figalli references the 250-year-old roots of optimal transport established by French mathematician Gaspard Monge, who focused on military logistics. He explained that Monge's theories aided in constructing fortifications most efficiently during the Napoleonic Era.

Figalli highlighted Leonid Kantorovich's 1975 contributions that earned him a Nobel Prize in economic science. Kantorovich emphasized the practical implications of optimizing resource allocation, such as ensuring bakeries deliver their pastries efficiently to every coffee shop. "We are addressing a global wellness optimization problem," Figalli noted, stressing the complex interdependencies involved, where actions from one player can significantly impact others.

During the conversation, hosted in New York City by the Simons Laufer Mathematical Sciences Institute, Figalli conveyed a deep appreciation for mathematics and its intriguing mix of permanence and utility. He considers proofs in mathematics as timeless truths that remain pertinent irrespective of changing contexts. "If you prove a theorem, you prove it," he said. "There’s no ambiguity; it’s true or false, and you can rely on it."

The interview spotlighted not just the academic aspects of optimal transport but also its relevance in addressing everyday challenges, underscoring the profound interplay between mathematics and the tangible world around us.

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