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📦 Get the Algebra Foundation Pack: https://dailymathvisuals.lemonsqueezy... This integral looks simple: ∫e^(-x²)dx. But here's the shocking truth — you CANNOT solve it using any technique from calculus. No u-substitution. No integration by parts. Nothing works. And yet, mathematicians have proven it equals exactly √π. In this video, I'll show you one of the most beautiful proofs in all of mathematics. A trick so clever, it will change how you think about integrals forever. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🧠 KEY CONCEPTS COVERED ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ • The Gaussian/Bell Curve • Double Integrals • Polar Coordinate Transformation • The Jacobian Determinant • U-Substitution • Connection between e and π ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 💡 WHY THIS MATTERS ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ The Gaussian integral isn't just a mathematical curiosity. It's the foundation of: • The Normal Distribution (statistics) • Neural Network Weight Initialization • Diffusion Models (DALL-E, Midjourney, Stable Diffusion) • Quantum Mechanics • Statistical Mechanics Every time you use an AI that generates images, √π is working behind the scenes. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ #mathematics #calculus #integral #gaussianintegral #math #visualmath #proof #pi #euler #normalcurve #statistics #machinelearning #AI #deeplearning