Solving homogeneous system involving decimal eigenvalues

In summary, to find the general solution of the system, we first find the eigenvalues by using the determinant of A - λI. Then, we can use row reduction to get the eigenvectors and ultimately find the general solution.
  • #1
maxfails
11
0

Homework Statement



I need to find the general solution of the system
[3 5]
[-1 -2]

Homework Equations



so to get the eigenvalues, det(A - λI)

The Attempt at a Solution



determinant is (3-λ)(-2-λ) + 5

which would be λ2 - λ - 1

so by the quadratic equation the eigenvalues are λ = 1/2 + (√5)/2 and 1/2 - (√5)/2

but now I don't know how to reduce the matrix to get the eigenvectors?

I think the matrix for the first eigenvalue would be
[3-(1/2 + √5)/2) 5]
[-1 -2-1/2+(√5)/2]

What to do now?
 
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  • #2
maxfails said:

Homework Statement



I need to find the general solution of the system
[3 5]
[-1 -2]

Homework Equations



so to get the eigenvalues, det(A - λI)

The Attempt at a Solution



determinant is (3-λ)(-2-λ) + 5

which would be λ2 - λ - 1

so by the quadratic equation the eigenvalues are λ = 1/2 + (√5)/2 and 1/2 - (√5)/2

but now I don't know how to reduce the matrix to get the eigenvectors?

I think the matrix for the first eigenvalue would be
[3-(1/2 + √5)/2) 5]
[-1 -2-1/2+(√5)/2]

What to do now?
Do what you would normally do - row reduce the matrix, but you'll need to fix some misplaced parentheses first.

The matrix should be
[3- (1/2 + √5/2) 5]
[-1 -2- (1/2+√5/2)]

=

[5/2 - √5/2) 5]
[-1 -5/2 - √5/2]

You had a few too many parentheses in your matrix.

When the matrix is row-reduced, there should be a row of zeroes, and you can use the other row to get your eigenvector.
 

1. What is a homogeneous system?

A homogeneous system is a set of linear equations where all the constants are equal to zero. This means that the system has a unique solution or it has infinitely many solutions where all the variables are equal to zero.

2. How do you solve a homogeneous system?

To solve a homogeneous system, you can use elementary row operations to reduce the system to its row echelon form. From there, you can use back substitution or Gaussian elimination to find the values of the variables.

3. What are decimal eigenvalues?

Decimal eigenvalues are the solutions to the characteristic equation of a matrix. They represent the values of lambda that make the determinant of the matrix equal to zero. These values can be in decimal form, rather than whole numbers.

4. How do you find decimal eigenvalues?

To find decimal eigenvalues, you can use the characteristic equation of a matrix, which is det(A - λI) = 0. This equation can be solved using various methods such as factoring, synthetic division, or using a calculator.

5. Can a homogeneous system involving decimal eigenvalues have a unique solution?

Yes, a homogeneous system involving decimal eigenvalues can have a unique solution. This occurs when all the decimal eigenvalues are equal to zero, which means that the system has only the trivial solution (all variables equal to zero).

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