Linear Algebra - Find unit vector orthogonal to 2, 4-space vectors?

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To find a unit vector orthogonal to the vectors u = (2, 0, 1, -4) and v = (2, 3, 0, 1), the dot product must equal zero for the resulting vector. The discussion highlights the challenge of forming equations from the orthogonality conditions, leading to a system of equations with multiple variables. Participants suggest using matrix methods and variable elimination to simplify the problem, while also considering the implications of setting some variables to zero. Ultimately, the solution involves expressing the orthogonal vector in terms of free variables, confirming that there are infinitely many unit vectors orthogonal to the given vectors.
  • #31
yes yes, you are right once again!

I'm sorry, I make lots of mistakes at 4:40 am xD
I wanted to do this homework so badly so I must get it done!
 
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  • #32
its fine, happens to everyone
 
  • #33
In order to solve for specific values of a, b, c, and d, you would need four equations. But the problem said "Find any unit vector orthogonal to both of them". Just as, in three dimensions, there are an infinite number of unit vectors orthogonal to a single vector, in four dimensions there are an infinite number of unit vectors orthogonal to two vectors.

In order that (a, b, c, d) be orthogonal to u = (2, 0, 1, -4) and v = (2, 3, 0, 1) we must have, as you say, 2a+ c- 4d= 0 and 2a+ 3b+ d= 0. Subtracting the first equation from the second, 3b- c+ 5d= 0 so c= 3b+ 5d. Put that back into either of the first two equations and you can solve for a in terms of b and d. That gives every vector that is orthogonal to u and v in terms of b and d.
 

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