Finding Unit Vectors in Plane Determined by u & v Perpendicular to w

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SUMMARY

The discussion focuses on finding unit vectors in the plane defined by vectors u = (3, 0, 1) and v = (1, -1, 1) that are perpendicular to vector w = (1, 2, 0). Participants clarify that the correct approach involves using the dot product of the linear combinations of u and v with w, setting the result to zero to find the coefficients a and b. The vectors obtained from this method are not unit vectors; to convert them into unit vectors, one must multiply by the reciprocal of their magnitudes. The discussion emphasizes that the plane is spanned by all linear combinations of u and v, and that both addition and subtraction of these vectors yield the same subspace.

PREREQUISITES
  • Understanding of vector operations, specifically dot products and cross products.
  • Familiarity with the concept of linear combinations of vectors.
  • Knowledge of unit vectors and how to calculate their magnitudes.
  • Basic understanding of vector spaces and planes in three-dimensional geometry.
NEXT STEPS
  • Learn how to compute the dot product of vectors in three-dimensional space.
  • Study the process of finding unit vectors from arbitrary vectors in 3D.
  • Explore the geometric interpretation of vector spaces and planes spanned by multiple vectors.
  • Investigate the properties of orthogonal vectors and their applications in linear algebra.
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Students studying linear algebra, mathematicians working with vector spaces, and anyone interested in geometric interpretations of vector operations.

lha08
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Homework Statement


Find all unit vectors in the plane determined by u= (3, 0, 1) and v=(1, -1, 1) that are perpendicular to the vector w= (1, 2, 0).


Homework Equations





The Attempt at a Solution


I'm basically having trouble with the concept and visualizing the problem. Well first I found the normal of the points u and v, which i found n= (1, -2, -3). After this, I'm supposed to take the cross product of n and of w..why would this be? At the end, i found (6, -3, 4) and (-6,3,-4) but the answers say the same but all the x,y,z values are divided by the square root of 61...?? Could someone please clarify this? Do orthogonal solutions have infinitely many solutions?? Thanks a bunch.
 
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You're not looking at this the right way. u and v are vectors, not points. The plane is the one that is made of of all linear combinations of these two vectors. IOW, the set of vectors au + bv, where a and b are arbitrary real numbers.

There is no need to find the normal to the plane. What you want are the vectors in this plane that are perpendicular to w = (1, 2, 0).

To find these vectors, take the dot product of the vectors in the plane and w and set the dot product to zero.
(au + bv).w = 0

Solve for a and b. Since you have one equation in two unknowns, there won't be a unique solution.

The vectors you found aren't unit vectors. To make unit vectors of them, multiply each by the reciprocal of its magnitude.
 
Mark44 said:
You're not looking at this the right way. u and v are vectors, not points. The plane is the one that is made of of all linear combinations of these two vectors. IOW, the set of vectors au + bv, where a and b are arbitrary real numbers.

There is no need to find the normal to the plane. What you want are the vectors in this plane that are perpendicular to w = (1, 2, 0).

To find these vectors, take the dot product of the vectors in the plane and w and set the dot product to zero.
(au + bv).w = 0

Solve for a and b. Since you have one equation in two unknowns, there won't be a unique solution.

The vectors you found aren't unit vectors. To make unit vectors of them, multiply each by the reciprocal of its magnitude.

The only thing i don't get is why we would add the two vectors in the beginning, like, why don't we calculate it by subtracting the two vectors? Also, why do we place scalars in front of u and v? Thanks again.
 
lha08 said:
subtracting the two vectors? Also, why do we place scalars in front of u and v?

The subspace spanned by two vectors u and v is defined to be all vectors of the form au + bv for all scalars a and b. Geometrically, this is the set of vectors coplanar with both u and v, as was required in the problem statement. Negations are covered by the scalar -1. so using - instead of + generates the same set.
 

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