Linear Algebra in a Nutshell
Linear dependence, basis, and combinations of vectors in the plane, plus 2x2 matrix arithmetic, determinants, inverses, eigenvalues, and eigenvectors.
38 exercises
Exercise 1
Given a column vector we define the transpose of to be If find each of the following.
Exercise 2
If find each of the following.
Exercise 3
If find each of the following.
Exercise 4
Find the determinant of each of the matrices in Finding Determinants.
Exercise 5
Find the determinant of each of the matrices in Finding Determinants.
Exercise 6
Find the determinant of each of the matrices in Finding Determinants.
Exercise 7
Find the determinant of each of the matrices in Finding Determinants.
Exercise 8
Find the determinant of each of the matrices in Finding Determinants.
Exercise 9
Find the determinant of each of the matrices in Finding Determinants.
Exercise 10
Find the determinant of each of the matrices in Finding Determinants.
Exercise 11
Find the determinant of each of the matrices in Finding Determinants.
Exercise 12
Find the determinant of each of the matrices in Finding Determinants.
Exercise 13
Find the determinant of each of the matrices in Finding Determinants.
Exercise 14
Find the inverse (if it exists) of each of the matrices in Finding Inverses. that is, find the matrix such that , where
Exercise 15
Find the inverse (if it exists) of each of the matrices in Finding Inverses. that is, find the matrix such that , where
Exercise 16
Find the inverse (if it exists) of each of the matrices in Finding Inverses. that is, find the matrix such that , where
Exercise 17
Find the inverse (if it exists) of each of the matrices in Finding Inverses. that is, find the matrix such that , where
Exercise 18
Find the inverse (if it exists) of each of the matrices in Finding Inverses. that is, find the matrix such that , where
Exercise 19
Find the inverse (if it exists) of each of the matrices in Finding Inverses. that is, find the matrix such that , where
Exercise 20
Find the inverse (if it exists) of each of the matrices in Finding Inverses. that is, find the matrix such that , where
Exercise 21
Find the inverse (if it exists) of each of the matrices in Finding Inverses. that is, find the matrix such that , where
Exercise 22
For each of the matrices in Finding Eigenvalues and Eigenvectors:
Find the characteristic polynomial of .
Find all of the eigenvalues of .
Find an eigenvector for each eigenvalue of .
Exercise 23
For each of the matrices in Finding Eigenvalues and Eigenvectors:
Find the characteristic polynomial of .
Find all of the eigenvalues of .
Find an eigenvector for each eigenvalue of .
Exercise 24
For each of the matrices in Finding Eigenvalues and Eigenvectors:
Find the characteristic polynomial of .
Find all of the eigenvalues of .
Find an eigenvector for each eigenvalue of .
Exercise 25
For each of the matrices in Finding Eigenvalues and Eigenvectors:
Find the characteristic polynomial of .
Find all of the eigenvalues of .
Find an eigenvector for each eigenvalue of .
Exercise 26
For each of the matrices in Finding Eigenvalues and Eigenvectors:
Find the characteristic polynomial of .
Find all of the eigenvalues of .
Find an eigenvector for each eigenvalue of .
Exercise 27
For each of the matrices in Finding Eigenvalues and Eigenvectors:
Find the characteristic polynomial of .
Find all of the eigenvalues of .
Find an eigenvector for each eigenvalue of .
Exercise 28
For each of the matrices in Finding Eigenvalues and Eigenvectors:
Find the characteristic polynomial of .
Find all of the eigenvalues of .
Find an eigenvector for each eigenvalue of .
Exercise 29
For each of the matrices in Finding Eigenvalues and Eigenvectors:
Find the characteristic polynomial of .
Find all of the eigenvalues of .
Find an eigenvector for each eigenvalue of .
Exercise 30
For each of the matrices in Finding Eigenvalues and Eigenvectors:
Find the characteristic polynomial of .
Find all of the eigenvalues of .
Find an eigenvector for each eigenvalue of .
Exercise 31
For each of the matrices in Finding Eigenvalues and Eigenvectors:
Find the characteristic polynomial of .
Find all of the eigenvalues of .
Find an eigenvector for each eigenvalue of .
Exercise 32
For what values of are the vectors and linearly independent?
Exercise 33
We define the trace of a matrix to be the sum of its diagonal entries. That is, the trace of is . Show that for any matrices and .
Exercise 34
Let and be two matrices. Show that .
Exercise 35
Let be a matrix. Show that .
Exercise 36
Define the identity matrix to be Show that for any matrix.
Exercise 37
An upper triangular matrix is a matrix of the form Show that has eigenvalues and .
Exercise 38
Let and . Prove that and are linearly independent if and only if
Adapted from The ODE Project © 2019–2025 Thomas W. Judson. Licensed under CC BY 4.0. Source: The ODE Project. Imported at revision 7935458.