{"id":145,"date":"2025-06-16T22:17:42","date_gmt":"2025-06-16T21:17:42","guid":{"rendered":"https:\/\/blogs.imperial.ac.uk\/parikshit\/?p=145"},"modified":"2025-06-16T22:21:35","modified_gmt":"2025-06-16T21:21:35","slug":"how-i-ended-up-talking-physics-with-a-theorem-prover","status":"publish","type":"post","link":"https:\/\/blogs.imperial.ac.uk\/parikshit\/2025\/06\/16\/how-i-ended-up-talking-physics-with-a-theorem-prover\/","title":{"rendered":"How I Ended Up Talking Physics with a Theorem Prover"},"content":{"rendered":"<p><span style=\"font-weight: 400\">I came across a LinkedIn post by a postdoctoral researcher working on something interesting. The first thing that caught my eye was his list of research interests. I always thought someone should focus on one specific domain like biology or physics and explore subfields within that. But this researcher was working at the intersection of mathematics, physics, and computer science.<\/span><\/p>\n<p><span style=\"font-weight: 400\">That one word &#8220;intersection&#8221; clicked something in me. I realized it was possible to combine different interests in a meaningful way. I messaged him on LinkedIn, not really expecting a reply. After all, I was an undergrad from a different background, and he must have gotten a lot of messages. But to my surprise, he responded within minutes.<\/span><\/p>\n<p><span style=\"font-weight: 400\">We scheduled a Zoom call for March 27th, 2025, and though I was excited, I had no clue what \u201cLean\u201d was, or what \u201ctheorem proving\u201d meant. I asked a few friends studying physics at Imperial to explain, and after some Googling, it started to make sense.<\/span><\/p>\n<p><b>So, What Is Lean and Theorem Proving?<\/b><\/p>\n<p><span style=\"font-weight: 400\">Let me explain it the way it started to make sense to me.<\/span><\/p>\n<p><span style=\"font-weight: 400\">Take something simple:<\/span><\/p>\n<p><i><span style=\"font-weight: 400\">\u201cEvery time I flip this switch, the light turns on.\u201d<\/span><\/i><\/p>\n<p><span style=\"font-weight: 400\">In everyday life, we\u2019d just accept that as true. We\u2019ve seen it happen. But a theorem prover\u00a0 like Lean\u00a0 doesn\u2019t take your word for it.<\/span><\/p>\n<p><span style=\"font-weight: 400\">It\u2019s like a robot that says:<\/span><\/p>\n<p><i><span style=\"font-weight: 400\">\u201cProve it. Show me the wiring, the power source, the bulb, the laws of electricity. No skipping.\u201d<\/span><\/i><\/p>\n<p><span style=\"font-weight: 400\">If you can explain every single logical step, it\u2019ll say:<\/span><\/p>\n<p><i><span style=\"font-weight: 400\">\u201cYes, this is probably true.\u201d<\/span><\/i><\/p>\n<p><span style=\"font-weight: 400\">But if something\u2019s missing:<\/span><\/p>\n<p><i><span style=\"font-weight: 400\">\u201cNope. Try again.\u201d<\/span><\/i><\/p>\n<p><span style=\"font-weight: 400\">It feels like overkill at first. But it starts to make sense when you think about systems where guessing or assuming just isn\u2019t good enough.<\/span><\/p>\n<p><b>Where Is This Actually Used?<\/b><\/p>\n<p><span style=\"font-weight: 400\">Imagine the light switch isn\u2019t just in your bedroom, it\u2019s a switch on a rocket.<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">\u201cIf the engine overheats, it shuts down safely.\u201d<\/span><\/li>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">\u201cIf a pacemaker detects a problem, it responds in under a second.\u201d<\/span><\/li>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">\u201cIf someone tries to hack the system, no data is leaked.\u201d<\/span><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400\">In cases like these, \u2018<\/span><i><span style=\"font-weight: 400\">it worked when we tested it<\/span><\/i><span style=\"font-weight: 400\">\u2019 isn\u2019t always enough. You need guarantees. That\u2019s where formal verification and tools like Lean 4 comes in.<\/span><\/p>\n<p><b>Meeting Dr. Joseph and Learning About PhysLean<\/b><\/p>\n<p><span style=\"font-weight: 400\">That first Zoom call with Dr. Joseph really stayed with me. He turned out to be kind, welcoming, and genuinely interested in helping someone new understand the field. I thought the call might last 15 minutes. We ended up talking for over an hour. He even shared stories about his work at Reykjavik University in Iceland.<\/span><\/p>\n<p><span style=\"font-weight: 400\">That conversation is what led me to PhysLean.<\/span><\/p>\n<p><b>What Is PhysLean?<\/b><\/p>\n<p><span style=\"font-weight: 400\">If you\u2019ve heard of <\/span><i><span style=\"font-weight: 400\">mathlib<\/span><\/i><span style=\"font-weight: 400\">, the formal math library built using Lean\u00a0 PhysLean is like its physics counterpart.<\/span><\/p>\n<p><span style=\"font-weight: 400\">It\u2019s an open-source library being developed in Lean 4, aiming to formalize major areas of physics in a way that computers can read, check, and reason through. It already includes areas like <\/span><i><span style=\"font-weight: 400\">electromagnetism, condensed matter physics, classical mechanics, and quantum field theory<\/span><\/i><span style=\"font-weight: 400\"> and continues to grow.<\/span><\/p>\n<p><span style=\"font-weight: 400\">The goal is to create a structured, formal foundation for physics where:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Every law is written in a language a computer can understand<\/span><\/li>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Every equation is logically derived from first principles<\/span><\/li>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Every assumption is made explicit<\/span><\/li>\n<\/ul>\n<p><img loading=\"lazy\" decoding=\"async\" width=\"489\" height=\"56\" class=\"alignnone wp-image-149\" src=\"http:\/\/blogs.imperial.ac.uk\/parikshit\/files\/2025\/06\/PhysLean-Idea-e1750107462956.png\" alt=\"\" \/><\/p>\n<p><span style=\"font-weight: 400\">Physics, as practiced, often hides small errors, forgotten approximations, missing units, implicit assumptions. Famously, NASA lost a $125 million Mars orbiter due to a simple unit conversion error.<\/span><\/p>\n<p><b>Why It Matters<\/b><\/p>\n<p><span style=\"font-weight: 400\">PhysLean is still in development, its potential spans research, engineering, and education:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">In self-driving cars, control systems could be proven safe, not just empirically tested.<\/span><\/li>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">In quantum research, highly complex models could be logically verified.<\/span><\/li>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">In education, students wouldn\u2019t just use formulas, they&#8217;d see the logic behind them, step by step.<\/span><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400\">It\u2019s not about replacing physics research, it&#8217;s about strengthening it.<\/span><\/p>\n<p><b>What\u2019s Next?<\/b><\/p>\n<p><span style=\"font-weight: 400\">Since that first call, I\u2019ve had more conversations with Dr. Joseph. We finally met in person at Imperial College London on June 13th. He shared that from September 2025, he\u2019ll be joining the University of Bath as an Assistant Professor, where he plans to continue developing PhysLean and growing a lab around it.<\/span><\/p>\n<p><span style=\"font-weight: 400\">It\u2019s still early days for me, but that one LinkedIn post really did shift how I think about physics, programming, and what research can look like at the intersection of different fields.<\/span><\/p>\n<p><img loading=\"lazy\" decoding=\"async\" width=\"2560\" height=\"1440\" class=\"alignnone wp-image-150\" src=\"http:\/\/blogs.imperial.ac.uk\/parikshit\/files\/2025\/06\/PXL_20250613_150236396.MP2_-scaled.jpg\" alt=\"\" \/><\/p>\n<h3><b>Learn More<\/b><\/h3>\n<p><span style=\"font-weight: 400\">There&#8217;s much more to come with PhysLean. You can find more information below:<\/span><span style=\"font-weight: 400\"><br \/>\n<\/span><span style=\"font-weight: 400\">PhysLean Website: <\/span><a href=\"https:\/\/physlean.com\/\"><span style=\"font-weight: 400\">https:\/\/physlean.com\/<\/span><\/a><\/p>\n<p><span style=\"font-weight: 400\">GitHub: <\/span><a href=\"https:\/\/github.com\/HEPLean\/PhysLean\"><span style=\"font-weight: 400\">https:\/\/github.com\/HEPLean\/PhysLean<\/span><\/a><\/p>\n<p><span style=\"font-weight: 400\">Dr. Joseph Tooby &#8211; Smith\u2019s website: <\/span><a href=\"https:\/\/josephtoobysmith.com\/\"><span style=\"font-weight: 400\">https:\/\/josephtoobysmith.com\/<\/span><\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>I came across a LinkedIn post by a postdoctoral researcher working on something interesting. The first thing that caught my eye was his list of research interests. I always thought someone should focus on one specific domain like biology or physics and explore subfields within that. But this researcher was working at the intersection of [&hellip;]<\/p>\n","protected":false},"author":1743,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[3],"tags":[],"class_list":["post-145","post","type-post","status-publish","format-standard","hentry","category-maths-and-physics"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.4 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>How I Ended Up Talking Physics with a Theorem Prover - Parikshit Padole<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/blogs.imperial.ac.uk\/parikshit\/2025\/06\/16\/how-i-ended-up-talking-physics-with-a-theorem-prover\/\" \/>\n<meta property=\"og:locale\" content=\"en_GB\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"How I Ended Up Talking Physics with a Theorem Prover - Parikshit Padole\" \/>\n<meta property=\"og:description\" content=\"I came across a LinkedIn post by a postdoctoral researcher working on something interesting. 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