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Algebra Examples
Step 1
Assign the matrix the name to simplify the descriptions throughout the problem.
Step 2
Set up the formula to find the characteristic equation .
Step 3
Substitute the known values in the formula.
Step 4
Multiply by each element of the matrix.
Simplify each element in the matrix.
Rearrange .
Rearrange .
Rearrange .
Rearrange .
Add the corresponding elements.
Simplify each element of the matrix .
Simplify .
Simplify .
Step 5
These are both valid notations for the determinant of a matrix.
The determinant of a matrix can be found using the formula .
Simplify the determinant.
Simplify each term.
Expand using the FOIL Method.
Apply the distributive property.
Apply the distributive property.
Apply the distributive property.
Simplify and combine like terms.
Simplify each term.
Multiply by .
Multiply by .
Multiply by .
Rewrite using the commutative property of multiplication.
Multiply by by adding the exponents.
Move .
Multiply by .
Multiply by .
Multiply by .
Subtract from .
Multiply by .
Subtract from .
Step 6
Reorder the polynomial.
Step 7
Set the characteristic polynomial equal to to find the eigenvalues .
Step 8
Use the quadratic formula to find the solutions.
Substitute the values , , and into the quadratic formula and solve for .
Simplify.
Simplify the numerator.
Raise to the power of .
Multiply .
Multiply by .
Multiply by .
Add and .
Multiply by .
Simplify the expression to solve for the portion of the .
Simplify the numerator.
Raise to the power of .
Multiply .
Multiply by .
Multiply by .
Add and .
Multiply by .
Change the to .
Simplify the expression to solve for the portion of the .
Simplify the numerator.
Raise to the power of .
Multiply .
Multiply by .
Multiply by .
Add and .
Multiply by .
Change the to .
The final answer is the combination of both solutions.
Step 9
The eigenvector for is equal to the null space of the matrix minus the eigenvalue times the identity matrix.
Step 10
Substitute the known values into the formula.
Step 11
Multiply by each element of the matrix.
Simplify each element in the matrix.
Rearrange .
Rearrange .
Rearrange .
Rearrange .
Add the corresponding elements.
Simplify each element of the matrix .
Simplify .
Simplify .
Simplify .
Simplify .
Step 12
Perform the row operation on (row ) in order to convert some elements in the row to .
Replace (row ) with the row operation in order to convert some elements in the row to the desired value .
Replace (row ) with the actual values of the elements for the row operation .
Simplify (row ).
Perform the row operation on (row ) in order to convert some elements in the row to .
Replace (row ) with the row operation in order to convert some elements in the row to the desired value .
Replace (row ) with the actual values of the elements for the row operation .
Simplify (row ).
Step 13
Use the result matrix to declare the final solutions to the system of equations.
Step 14
This expression is the solution set for the system of equations.
Step 15
Decompose a solution vector by re-arranging each equation represented in the row-reduced form of the augmented matrix by solving for the dependent variable in each row yields the vector equality.
Step 16
Express the vector as a linear combination of column vector using the properties of vector column addition.
Step 17
The null space of the set is the set of vectors created from the free variables of the system.
Step 18
The eigenvector for is equal to the null space of the matrix minus the eigenvalue times the identity matrix.
Step 19
Substitute the known values into the formula.
Step 20
Multiply by each element of the matrix.
Simplify each element in the matrix.
Rearrange .
Rearrange .
Rearrange .
Rearrange .
Add the corresponding elements.
Simplify each element of the matrix .
Simplify .
Simplify .
Simplify .
Simplify .
Step 21
Perform the row operation on (row ) in order to convert some elements in the row to .
Replace (row ) with the row operation in order to convert some elements in the row to the desired value .
Replace (row ) with the actual values of the elements for the row operation .
Simplify (row ).
Perform the row operation on (row ) in order to convert some elements in the row to .
Replace (row ) with the row operation in order to convert some elements in the row to the desired value .
Replace (row ) with the actual values of the elements for the row operation .
Simplify (row ).
Step 22
Use the result matrix to declare the final solutions to the system of equations.
Step 23
This expression is the solution set for the system of equations.
Step 24
Decompose a solution vector by re-arranging each equation represented in the row-reduced form of the augmented matrix by solving for the dependent variable in each row yields the vector equality.
Step 25
Express the vector as a linear combination of column vector using the properties of vector column addition.
Step 26
The null space of the set is the set of vectors created from the free variables of the system.
Step 27
The eigenspace of is the union of the vector space for each eigenvalue.
Step 28