Cross Products Verifying Third Vector Orthoginality?

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Discussion Overview

The discussion centers around the verification of the orthogonality of a third vector using cross products, particularly in the context of three distinct, non-zero vectors that lie in the same plane. Participants explore the implications of using cross products to determine orthogonality, contrasting it with the more conventional dot product method.

Discussion Character

  • Exploratory
  • Debate/contested
  • Mathematical reasoning

Main Points Raised

  • Adrian questions whether the orthogonality of a third vector can be verified using cross products, suggesting that if the cross products A X B and A X C yield the same resultant vector, it may imply orthogonality.
  • One participant clarifies that if A is orthogonal to both B and C, then A X (B X C) would equal zero, indicating a relationship between the vectors.
  • Another participant challenges the premise by questioning what the third vector is supposed to be orthogonal to, arguing that if all vectors lie in the same plane, orthogonality to both A and B is not possible.
  • One participant suggests that to check if the vectors are coplanar, the triple product (A X B) * C must equal zero, indicating that the origin must lie in the plane formed by the vectors.
  • A later reply mentions the necessity to normalize and compare the cross product vectors directly, highlighting a case where the cross products may appear the same but differ in scale.

Areas of Agreement / Disagreement

Participants express differing views on the validity of using cross products to verify orthogonality. There is no consensus on whether the method proposed by Adrian is valid, and several participants raise questions and challenges regarding the assumptions made in the original post.

Contextual Notes

Participants note that the discussion hinges on the definitions of coplanarity and orthogonality, as well as the implications of the vectors lying in a plane that may or may not include the origin. The mathematical steps and conditions under which the proposed methods hold are not fully resolved.

adriandevera
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I have a question. Let's say you have three distinct, non zero vectors that lie in the same plane. Can I verify the othoginality of the third vector using strictly cross products?

I know I can just do the dot product and if it equals to 0 then its orthoginal to the plane; however, I came across a method online (cannot find the source) where you can strictly use cross products to verify orthoginality. This had me and my professor thinking about whether or not this may be true such as below:

If i were to take the cross product of let's say A X B. Then take the cross product of A X C. If the resultant vectors of both A X B and A X C are equal, doesn't it technically imply that the third vector C is orthogonal?

For real number values: Let's say the 3 vectors were <1,-1,1>,<-2,3,4>,<0,1,6>.

A X B = | 1 -1 1 | = <-7,-6,1>
| -2 3 4 |

A X C = |1 -1 1| = <-7,-6,1>
|0 1 6|

Since both have the same normal vectors that are perpendicular to the plane, we can conclude that both lie within the same plane.

(Sorry if I do not make sense, its rather late. Perhaps ill revise this tomorrow morning)

Best Regards,
Adrian
 
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Do you mean that given A,B,C you want to know if A is orthogonal to B and C?

if A X (B X C)=0
then A.B=A.C=0
as is obvious
 
adriandevera said:
I have a question. Let's say you have three distinct, non zero vectors that lie in the same plane. Can I verify the othoginality of the third vector using strictly cross products?
What is it supposed to be orthogonal to? The other two vectors? This is impossible if they're all in a plane that contains 0, as in your example.

If the plane isn't supposed to contain 0, then I see no reason to mention a plane, since there's always a plane that contains the three vectors.

adriandevera said:
If i were to take the cross product of let's say A X B. Then take the cross product of A X C. If the resultant vectors of both A X B and A X C are equal, doesn't it technically imply that the third vector C is orthogonal?
Orthogonal to what? To A and B? In this example, C is not orthogonal to both A and B:
$$(1,0,0)\times (1,1,0)=(1,0,0)\times (0,1,0).$$
 
You could reason this way. Let A,B,C be three non zero vectors and we want to check if they are coplanar. Since we are talking about vectors (as opposed to points), then I assume that in this context, coplanar means that the origin must also lie in this plane. Otherwise, this does not make sense as Fredrik stated. In other words, the triple product (A X B)*C must be zero.

Following the OPs reasoning, we instead calculate A X B and A X C. If the three vectors were coplanar, then both these vectors would be orthogonal to that common plane, so they would be parallel. Two non zero vectors are parallel if their cross product is zero. So the test would be

(A X B) X (A X C)=0
 
Last edited:
You have to normalize and directly compare the cross product vectors and allow for a case similar to when A = (1,0,0), B = (1,1,0), C = (-1,1,0) and your algorithm compares AxB and AxC. The cross product vectors are the same except one is scaled by -1.
 

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