📘 Confused about how to calculate Eigenvalues and Eigenvectors of a matrix? In this video, we solve a 10-mark AKTU question from Math-1 (Linear Algebra) — a complete and detailed solution with steps! 🧮 Matrix Given: A = \begin{bmatrix} 2 & 1 & 1 \\ 2 & 3 & 2 \\ 3 & 3 & 4 \end{bmatrix} 📌 In this video, you’ll learn: ✅ How to form the characteristic equation of a matrix ✅ How to calculate Eigenvalues (λ) step-by-step ✅ How to find Eigenvectors corresponding to each Eigenvalue ✅ How to solve (A - λI)X = 0 system ✅ Concept of null space, non-trivial solution ✅ Tips to avoid common mistakes 🎯 This is a most expected question in AKTU exams — 10 marks guaranteed if you follow the steps shown in this video. 📚 Chapter: Linear Algebra – Engineering Mathematics-1 Eigenvalues & Eigenvectors Characteristic Equation Matrix Transformations Vector Spaces 🎓 Suitable for: AKTU | B.Tech 1st Year | Math-1 | All Branches 📢 LIKE 👍 | COMMENT ✍️ | SHARE 📤 | SUBSCRIBE 🔔 for full chapter coverage of AKTU Math-1! eigenvalues and eigenvectors of the matrix explained, eigenvalues and eigenvectors for mathematics btech 1st year, eigenvalues and eigenvectors engineering mathematics one shot, eigenvalues and eigenvectors gate, eigenvalues and eigenvectors tikle's academy, eigenvalues and eigenvectors of the matrix explained malayalam, eigenvalues and eigenvectors pradeep giri, eigenvalues and eigenvectors by rs academy, eigenvalues and eigenvectors of the matrix explained in hindi, eigenvalues and eigenvectors in quantum mechanics, eigenvalues and eigenvectors engineering mathematics, eigenvalues and eigenvectors #Eigenvalues #Eigenvectors #Math1AKTU #BTechMath2025 #EngineeringMathematics #LinearAlgebra #aktu2025 #MatrixDiagonalization #AKTUBTech #EigenvalueProblems #ImportantMathQuestions