Finding Perpendicular Vectors in R^4 Using Gaussian Elimination

In summary, to find all vectors in R^4 that are perpendicular to the three column vectors [1 1 1 1], [1 2 3 4], and [1 9 9 7], one can invent a fourth vector [x1 x2 x3 x4] and take the dot product of the three given vectors with this fourth vector. This will result in three equations and four unknowns, which can be solved using elimination or another method. The solution will most likely be a 1-dimensional subspace in R^4, representing a line of vectors perpendicular to the three given vectors.
  • #1
Punkyc7
420
0
Find all vectors in R^4 that are perpendicular to the three coloumn vectors

[1 1 1 1], [1 2 3 4], [1 9 9 7]

sorry i don't know how to make them verticle

guassian elimination or Ax=b


I know that the dot product must equal 0 but I am not sure how to solve it
 
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  • #2
You have three vectors. Invent a fourth vector...

[x1 x2 x3 x4]

Take the dot product of your three vectors with this fourth vector. You'll end up with three equations and four unknowns.
 
  • #3
ok so you get x1 +18x2+27x3+28x4
plug in 1 for x 4 -1 for x3 0 for x2 and -1 for x

so some constant multipled by[-1 0 -1 1]
 
  • #4
Punkyc7 said:
ok so you get x1 +18x2+27x3+28x4
plug in 1 for x 4 -1 for x3 0 for x2 and -1 for x1

so some constant multipled by[-1 0 -1 1]
[-1 0 -1 1] is perpendicular to [1 2 3 4], but not perpendicular to the other two.

If [x1 x2 x3 x4] is perpendicular to [1 1 1 1],
then [x1 x2 x3 x4]·[1 1 1 1] = 0. As Char. Limit points out, that gives you one equation (in 4 unknowns), in this case: x1+x2+x3+x4=0 .

Do the same for the for the other two, ([1 2 3 4] and [1 9 9 7])Then use elimination, or some other method to get one equation with two unknowns. You are free pick one component, but choosing it wisely will make the other components work out nicely.

By the way, the 3 given vectors are not mutually perpendicular.

 
  • #5
As other people pointed out, do the dot product for all three vectors and you'll get a system of 4 unknowns and 3 equations whose answer is most likely a 4-3=1-dimensional subspace of R^4. The answer should be a line.
 

FAQ: Finding Perpendicular Vectors in R^4 Using Gaussian Elimination

What is the purpose of finding perpendicular vectors using Gaussian elimination in R^4?

The purpose of finding perpendicular vectors in R^4 using Gaussian elimination is to determine a set of orthogonal basis vectors that span the entire space of R^4. These basis vectors can be used to simplify calculations and solve systems of linear equations.

How does Gaussian elimination help in finding perpendicular vectors?

Gaussian elimination is a systematic method for solving systems of linear equations by transforming them into an equivalent system with an upper triangular matrix. This process can be used to find a set of perpendicular vectors by setting up a matrix with the given vectors as columns and applying row operations until the matrix is in reduced row-echelon form.

Are there any specific steps to follow when using Gaussian elimination to find perpendicular vectors in R^4?

Yes, there are specific steps to follow when using Gaussian elimination to find perpendicular vectors in R^4. These include setting up a matrix with the given vectors as columns, using row operations to transform the matrix into reduced row-echelon form, and then using the resulting matrix to find the orthogonal basis vectors.

Can Gaussian elimination be used to find perpendicular vectors in other dimensions besides R^4?

Yes, Gaussian elimination can be used to find perpendicular vectors in any dimension. The process may vary slightly depending on the dimension, but the general method remains the same.

Is there a limit to the number of perpendicular vectors that can be found using Gaussian elimination?

No, there is no limit to the number of perpendicular vectors that can be found using Gaussian elimination. As long as the given vectors are linearly independent, they can be used to find an orthogonal basis for the given space.

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