Linear Algebra Examples

Find the Eigenvalues [[0,1],[1,0]]
Step 1
Set up the formula to find the characteristic equation .
Step 2
The identity matrix or unit matrix of size is the square matrix with ones on the main diagonal and zeros elsewhere.
Step 3
Substitute the known values into .
Tap for more steps...
Step 3.1
Substitute for .
Step 3.2
Substitute for .
Step 4
Simplify.
Tap for more steps...
Step 4.1
Simplify each term.
Tap for more steps...
Step 4.1.1
Multiply by each element of the matrix.
Step 4.1.2
Simplify each element in the matrix.
Tap for more steps...
Step 4.1.2.1
Multiply by .
Step 4.1.2.2
Multiply .
Tap for more steps...
Step 4.1.2.2.1
Multiply by .
Step 4.1.2.2.2
Multiply by .
Step 4.1.2.3
Multiply .
Tap for more steps...
Step 4.1.2.3.1
Multiply by .
Step 4.1.2.3.2
Multiply by .
Step 4.1.2.4
Multiply by .
Step 4.2
Add the corresponding elements.
Step 4.3
Simplify each element.
Tap for more steps...
Step 4.3.1
Subtract from .
Step 4.3.2
Add and .
Step 4.3.3
Add and .
Step 4.3.4
Subtract from .
Step 5
Find the determinant.
Tap for more steps...
Step 5.1
The determinant of a matrix can be found using the formula .
Step 5.2
Simplify each term.
Tap for more steps...
Step 5.2.1
Rewrite using the commutative property of multiplication.
Step 5.2.2
Multiply by by adding the exponents.
Tap for more steps...
Step 5.2.2.1
Move .
Step 5.2.2.2
Multiply by .
Step 5.2.3
Multiply by .
Step 5.2.4
Multiply by .
Step 5.2.5
Multiply by .
Step 6
Set the characteristic polynomial equal to to find the eigenvalues .
Step 7
Solve for .
Tap for more steps...
Step 7.1
Add to both sides of the equation.
Step 7.2
Take the specified root of both sides of the equation to eliminate the exponent on the left side.
Step 7.3
Any root of is .
Step 7.4
The complete solution is the result of both the positive and negative portions of the solution.
Tap for more steps...
Step 7.4.1
First, use the positive value of the to find the first solution.
Step 7.4.2
Next, use the negative value of the to find the second solution.
Step 7.4.3
The complete solution is the result of both the positive and negative portions of the solution.