Eigenvector - Study guides, Revision notes & Summaries

A summary was made about theme 4 before attending weekly tutorial sessions. These are cripnotes that cover the fundamental theory to better understand the application of each lecture unit and how they follow each other in the theme.

Detailed and understandable summary of Eigenvalues, Eigenvectors and Diagonalization. Packed with examples and colourful hints. Contains: Important notation -Detailed method to find eigenvalues and eigenvectors - Eigenspaces - 2 detailed and annotated examples - All possible question types for eigenvalues and eigenvectors explained - Clear explanation of diagonalization - Detailed method of Diagonalization - 1 Example of Diagonalization

Summary of eigenstuff, linear transformations, geometry and projections

solved eigenvalue/eigenvector problems and determinant problems

Linear Algebra

This document contains a summary of LU 4.1 - 4.3.

Worked through examples of eigenvalues and vector questions which are frequent in exams. Includes a step by step method as to how to answer these styles of questions.

Linear Algebra

solved exam problems. matrix operations, eigenvalues/eigenvectors, reduced row echelon form, solve for coefficients

Solved Exam problems. Nonlinear systems of equations, finding eigenvalues/eigenvectors, salt tank problem, equilibrium solutions