Calc. 3 Determining whether points lie in a straight line

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Discussion Overview

The discussion revolves around determining whether three points in three-dimensional space lie on a straight line. Participants explore various methods, including symbolic approaches and linear algebra concepts, while considering the implications of linear independence and direction vectors.

Discussion Character

  • Exploratory
  • Technical explanation
  • Mathematical reasoning

Main Points Raised

  • One participant asks how to determine if points lie in a straight line, questioning whether a symbolic approach or spatial visualization is necessary.
  • Another participant introduces the concept of linear algebra, suggesting that if the points lie in a one-dimensional subspace, it relates to their linear independence.
  • A participant proposes calculating the direction vector from point A to point B and checking if point C lies on that line using a linear combination.
  • One participant states that three points can lie on a straight line without being in a one-dimensional subspace, emphasizing that only lines through the origin form a subspace.
  • Another participant suggests calculating direction vectors for lines AB, BC, and AC and using a matrix to check for linear dependence.
  • Some participants mention considering one of the points as the origin to apply linear algebra techniques, while others clarify that this is not equivalent to simply taking a point as the origin in the given coordinate system.
  • A participant provides a method to form vectors from the points and states that the points lie on a single line if one vector is a multiple of the other.

Areas of Agreement / Disagreement

Participants express differing views on the methods for determining collinearity of points, with no consensus reached on the best approach. Some emphasize the importance of linear algebra, while others question the validity of certain assumptions regarding subspaces.

Contextual Notes

There are unresolved assumptions regarding the definitions of subspaces and linear independence, as well as the implications of translating points in the coordinate system.

d.tran103
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Hey, how do I determine whether or not points lie in a straight line? Is there a symbolic approach to determining so? Or do I need to spatially visualize it?

For instance,

A(0,-5,5), B(1,-2,4), C(3,4,2) does lie in a straight line according to my book. Thanks!
 
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Do you know any linear algebra?
If [0, -5, -5], [1, -2, 4], and [3, 4, 2] all lie in a one dimensional subspace, what does that say about their linear independence?
 
What is the vector going from A to B (call it v)? If C lies on this line than A-C = tv. Is this true?
 
Number Nine said:
Do you know any linear algebra?
If [0, -5, -5], [1, -2, 4], and [3, 4, 2] all lie in a one dimensional subspace, what does that say about their linear independence?
Three points can lie on a straight line and NOT lie in a one dimensional subspace so that is NOT sufficient. Only lines that include the origin form a subspace.
 
d.tran103 said:
Hey, how do I determine whether or not points lie in a straight line? Is there a symbolic approach to determining so? Or do I need to spatially visualize it?

For instance,

A(0,-5,5), B(1,-2,4), C(3,4,2) does lie in a straight line according to my book. Thanks!

Hey d.tran103 and welcome to the forums.

What you can do is calculate the direction vector of each combination of lines by calculating vectors for lines AB, BC, and AC. Then plug these into a matrix and show whether all of these are linearly dependent.

You can't just plug the raw points in because as HallsOfIvy said, this only works when all lines go through the origin, but if you look at direction vectors of the lines then this is a different thing and you can apply the techniques used in linear algebra.

If they all lie on the same line, then your reduce system will have 1 row of values and the rest will be all 0 elements. If you don't get this situation, then you know that there is at least one other independent characteristic.
 
The way I think of this is that you consider one of the points as the origin. Then regular linear algebra applies.
 
deluks917 said:
The way I think of this is that you consider one of the points as the origin. Then regular linear algebra applies.

This is equivalent to what I said above.
 
^yes. I am not sure why this matters.
 
If you are given the three points to be "A(0,-5,5), B(1,-2,4), C(3,4,2)", then the coordinate system is given and you cannot "take one of them to be the origin".

The simplest thing to do is to form the vectors AB= <1- 0, -2- (-5), 4- 5>= <1, 3, 1> and AC== <3- 1, 4- (-2), 2- 4>= <2, 6, -2>. The three points lie on a single line if and only if one of those two vectors is a multiple of the other.

Of course, that is equivalent to translating the three points so that A is translated to the origin but that is not just "taking one point to be the origin".
 

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