1) https://www.math.okstate.edu/~binegar/3013-S99/3013-l16.pdf

(How to diagonalize matrices)

2) http://www.sosmath.com/matrix/expo/expo.html

(How to find exponential of matrices)

3) http://en.wikipedia.org/wiki/Matrix_differential_equation

(Matrix Differential Equations)

4) http://www.ucl.ac.uk/CNDA/courses/coursework/JNF.pdf

(Jordan Normal Form)

5) http://www.math.niu.edu/~fletcher/jnf.pdf

(Jordan Normal Form for 2×2 Matrices)

6) http://www.math.colostate.edu/~gerhard/M345/CHP/ch9_6.pdf

(Matrix Exponential with repeated Eigenvalues)

7) http://www.math.vt.edu/people/afkhamis/class_home/notes/F08W12.pdf

Click to access matrixexp.pdf

(Matrix Differential equation with repeated Eigenvalues)

8) http://www.math.utah.edu/~gustafso/2250matrixexponential.pdf

(Matrix Exponential of Block Diagonal)

Featured book:

Linear Algebra and Its Applications, 4th Edition

Linear algebra is relatively easy for students during the early stages of the course, when the material is presented in a familiar, concrete setting. But when abstract concepts are introduced, students often hit a brick wall. Instructors seem to agree that certain concepts (such as linear independence, spanning, subspace, vector space, and linear transformations), are not easily understood, and require time to assimilate. Since they are fundamental to the study of linear algebra, students’ understanding of these concepts is vital to their mastery of the subject. David Lay introduces these concepts early in a familiar, concrete *R*^{n} setting, develops them gradually, and returns to them again and again throughout the text so that when discussed in the abstract, these concepts are more accessible.