MHB How does using cross product to find shortest distance work?

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The discussion focuses on using the cross product to find the shortest distance between two skew, non-intersecting lines. The method involves calculating a common normal vector using the cross product of the direction vectors of the lines. The shortest distance is obtained by projecting a distance vector onto this normal. Participants express confusion about the geometric interpretation of the cross product in the context of skew lines and whether the angles involved minimize the projection. Ultimately, the conversation clarifies that the cross product is indeed perpendicular to the directions of the skew lines, aiding in understanding the shortest distance calculation.
ognik
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A method for finding the shortest distance between 2 skew, non intersecting lines is to 1st find the common normal, using $ \vec{n} = \frac{\vec{v_1} \times \vec{v_2}}{|\vec{v_1} \times \vec{v_2}|} $ I'm looking for a proof or intuition as to why this is true please?

Then apparently we get the shortest distance (d) by projecting any distance vector onto this normal? A distance vector here is any point on one vector minus any point on the other vector. I can obviously choose points to get distance vectors of any magnitude. So my 2nd question is, I assume the angles between any position vector and the skew lines effectively minimise the projection?

But I did a sketch - View attachment 4918 - which doesn't convince me at all about the above ..., here $|\vec{P_2P_1}| \gt |d|$, multiplying that by $Cos \theta $ produces the line from $P_2 \perp \vec{v_1}$ - still > d?
 

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What I'm not quite sure of is - I know the cross product of 2 coplaner vectors is perpendicular to the plane those vectors are in, but why is that the same for 2 non-coplaner vectors?
 
ognik said:
What I'm not quite sure of is - I know the cross product of 2 coplaner vectors is perpendicular to the plane those vectors are in, but why is that the same for 2 non-coplaner vectors?
The two vectors (unless they are colinear) form the basis vectors for a plane. Two distinct vectors are always coplanar.

-Dan
 
Thanks - I just can't visualise it in this case - where the vectors are skew and don't intersect ... the only surface I can visualise in this case is not flat?
 
ognik said:
Thanks - I just can't visualise it in this case - where the vectors are skew and don't intersect ... the only surface I can visualise in this case is not flat?
We can always "move" the vectors so that they meet end to end.

-Dan
 
topsquark said:
We can always "move" the vectors so that they meet end to end.

-Dan
Hi - after much thought I decided we must be talking about the directions of the vectors? IE there is a vector parallel to one of the vectors, which does intersect the other vector. Then the cross product makes sense as being perpendicular to both directions?
 
ognik said:
Hi - after much thought I decided we must be talking about the directions of the vectors? IE there is a vector parallel to one of the vectors, which does intersect the other vector. Then the cross product makes sense as being perpendicular to both directions?
In a word: Yup! (Sun)

-Dan
 

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