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In this video, we explain the geometric meaning of complex eigenvalues and eigenvectors. Instead of only stretching or shrinking vectors, matrices with complex eigenvalues rotate and scale vectors at the same time. This lesson builds intuition by connecting eigenvalues to rotation matrices, angles, and dilation factors using clear step-by-step examples. 📘 Topics covered in this video: • Review of eigenvalues and eigenvectors • Characteristic equations with complex roots • Why complex eigenvalues imply rotation • Rotation direction: clockwise vs counterclockwise • Connection between matrices and rotation matrices • Scaling (dilation) factors from matrix entries • Worked 2×2 examples with full geometric interpretation 🎓 This video is ideal for: ✔ Engineering mathematics students ✔ Linear algebra courses ✔ Signals, systems, and control theory ✔ High school and college students learning matrix intuition The goal of this lesson is not memorization, but understanding how matrices act on vectors geometrically. 👍 Like and share if this explanation helped 💬 Leave questions or topic requests in the comments 🔔 Subscribe for more math and engineering made easy #Eigenvalues #ComplexEigenvalues #LinearAlgebra #EngineeringMathematics #MatrixRotation #MathExplained #EngineeringStudents