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Linear Algebra Examples
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
Step 3.1
Substitute for .
Step 3.2
Substitute for .
Step 4
Step 4.1
Simplify each term.
Step 4.1.1
Multiply by each element of the matrix.
Step 4.1.2
Simplify each element in the matrix.
Step 4.1.2.1
Multiply by .
Step 4.1.2.2
Multiply .
Step 4.1.2.2.1
Multiply by .
Step 4.1.2.2.2
Multiply by .
Step 4.1.2.3
Multiply .
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.
Step 4.3.1
Add and .
Step 4.3.2
Add and .
Step 5
Step 5.1
The determinant of a matrix can be found using the formula .
Step 5.2
Simplify the determinant.
Step 5.2.1
Simplify each term.
Step 5.2.1.1
Expand using the FOIL Method.
Step 5.2.1.1.1
Apply the distributive property.
Step 5.2.1.1.2
Apply the distributive property.
Step 5.2.1.1.3
Apply the distributive property.
Step 5.2.1.2
Simplify and combine like terms.
Step 5.2.1.2.1
Simplify each term.
Step 5.2.1.2.1.1
Multiply by .
Step 5.2.1.2.1.2
Multiply by .
Step 5.2.1.2.1.3
Multiply by .
Step 5.2.1.2.1.4
Rewrite using the commutative property of multiplication.
Step 5.2.1.2.1.5
Multiply by by adding the exponents.
Step 5.2.1.2.1.5.1
Move .
Step 5.2.1.2.1.5.2
Multiply by .
Step 5.2.1.2.1.6
Multiply by .
Step 5.2.1.2.1.7
Multiply by .
Step 5.2.1.2.2
Subtract from .
Step 5.2.1.3
Multiply by .
Step 5.2.2
Add and .
Step 5.2.3
Reorder and .
Step 6
Set the characteristic polynomial equal to to find the eigenvalues .
Step 7
Step 7.1
Factor using the perfect square rule.
Step 7.1.1
Rewrite as .
Step 7.1.2
Check that the middle term is two times the product of the numbers being squared in the first term and third term.
Step 7.1.3
Rewrite the polynomial.
Step 7.1.4
Factor using the perfect square trinomial rule , where and .
Step 7.2
Set the equal to .
Step 7.3
Add to both sides of the equation.