Proving Coplanarity with Triple Product: Exploring the Conditions

In summary, the conversation discusses the concept of coplanarity and the conditions for three vectors to be coplanar. It is necessary for two vectors $b$ and $c$ to be independent and span a plane, and for the cross product of $b$ and $c$ to be non-zero. This implies that $a$, which is perpendicular to $b \times c$, must also be in the same plane as $b$ and $c$. The conversation also touches on the equations of planes and their relationship to subspaces of $\mathbb R^3$.
  • #1
evinda
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Hello! (Wave)

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Does it suffice to show that the triple product is 0?

If we show that $a \cdot (b \times c)=0$ we will have that $a$ is orthogonal to $b \times c$. $b \times c$ is orthogonal to both $b$ and $c$, so we will have that $a$ will be parallel to $b$ and $c$.
Right? But why does this imply that the vectors are coplanar?
 

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  • #2
evinda said:
Hello! (Wave)

Does it suffice to show that the triple product is 0?

If we show that $a \cdot (b \times c)=0$ we will have that $a$ is orthogonal to $b \times c$.

Hey evinda! (Smile)

If we have 3 non-zero vectors, there are 3 possibilities:
  1. They are on the same line (all pairs are parallel).
  2. They are in the same plane.
  3. They span the whole 3-dimensional space (independent of each other).

Let's start with $b$ and $c$.
If they are on the same line, their cross product is zero.
Then it doesn't matter what $a$ is, in all cases we will have $a \cdot (b \times c)=0$.
So we cannot immediately say that $a$ is orthogonal to $b\times c$. (Nerd)

Are $b$ and $c$ on the same line?
$b \times c$ is orthogonal to both $b$ and $c$, so we will have that $a$ will be parallel to $b$ and $c$

Let's assume that $b$ and $c$ are independent, then they span a plane, and $b \times c \ne 0$.

You seem to be saying that $a$ is parallel to $b$, but that is not true. (Worried)
We would have that $a$ is in the same plane as $b$ and $c$.
Or put otherwise, that $a$ is a linear combination of $b$ and $c$.
That is, coplanar. (Nerd)
 
  • #3
I like Serena said:
If we have 3 non-zero vectors, there are 3 possibilities:
  1. They are on the same line (all pairs are parallel).
  2. They are in the same plane.
  3. They span the whole 3-dimensional space (independent of each other).

Why are there these possibilities? And why are these the only ones?
I like Serena said:
Let's start with $b$ and $c$.
If they are on the same line, their cross product is zero.
Then it doesn't matter what $a$ is, in all cases we will have $a \cdot (b \times c)=0$.
So we cannot immediately say that $a$ is orthogonal to $b\times c$. (Nerd)

Are $b$ and $c$ on the same line?

No, since the one isn't a multiple of the other. So we reject the first case, right?
I like Serena said:
Let's assume that $b$ and $c$ are independent, then they span a plane, and $b \times c \ne 0$.

Does it hold that two vectors $b$ and $c$ are linearly independent iff $b \times c \ne 0$ ?

Also would it hold that they span a plane because a plane is a subset of $\mathbb{R}^2$ and any two linearly independent vectors span a subspace of $\mathbb{R}^2$ ?

Also isn't the equation of a plane of the form $A(x-x_0)+B(y-y_0)+C(z-z_0)=0$ ? WHy can we say that it is a subset of $\mathbb{R}^2$ ?
I like Serena said:
You seem to be saying that $a$ is parallel to $b$, but that is not true. (Worried)
We would have that $a$ is in the same plane as $b$ and $c$.
Or put otherwise, that $a$ is a linear combination of $b$ and $c$.
That is, coplanar. (Nerd)

What would we deduce that $a$ is in the same plane as $b$ and $c$? (Sweating)
 
  • #4
evinda said:
Why are there these possibilities? And why are these the only ones?

Not sure what you're looking for here... (Wondering)

Let's try this: each sub space of $\mathbb R^3$ must be isomorphic to one of $\mathbb R^0$ (a point), $\mathbb R^1$ (a line), $\mathbb R^2$ (a plane), or $\mathbb R^3$ (the whole space).
No, since the one isn't a multiple of the other. So we reject the first case, right?

Yep. (Nod)
Does it hold that two vectors $b$ and $c$ are linearly independent iff $b \times c \ne 0$ ?

Also would it hold that they span a plane because a plane is a subset of $\mathbb{R}^2$ and any two linearly independent vectors span a subspace of $\mathbb{R}^2$ ?

Also isn't the equation of a plane of the form $A(x-x_0)+B(y-y_0)+C(z-z_0)=0$ ? WHy can we say that it is a subset of $\mathbb{R}^2$ ?

It holds for non-zero vectors.

A plane in $\mathbb R^3$ is not a subset of $\mathbb{R}^2$.
Instead it's isomorphic to $\mathbb{R}^2$, implying there is a bijection between them.
What would we deduce that $a$ is in the same plane as $b$ and $c$? (Sweating)

If $b$ and $c$ are independent, they span a plane through the origin.
If the vector $(A,B,C)$ is normal to that plane, the equation of the plane is:
$$(A,B,C) \cdot (x,y,z) = Ax+By+Cz=0$$
Note that these are exactly all vectors that are perpendicular to $(A,B,C)$.
So if $a$ is perpendicular to a normal of the plane, it must therefore be in the plane. (Nerd)
 

FAQ: Proving Coplanarity with Triple Product: Exploring the Conditions

What is coplanarity?

Coplanarity refers to the condition where multiple points or vectors lie on the same plane. In other words, they can all be connected by a single flat surface.

How is coplanarity proven using the triple product?

The triple product is a mathematical equation that involves the dot product and cross product of three vectors. If the result of the triple product is equal to zero, then the three vectors are coplanar.

What are the conditions for proving coplanarity using the triple product?

The three vectors must lie on the same plane and cannot be parallel to each other. Additionally, they must not all be collinear, meaning they cannot all lie on the same line.

Can coplanarity be proven with more than three vectors?

Yes, the triple product can be extended to include more than three vectors. However, the result will still be zero only if all the vectors are coplanar.

What is the significance of proving coplanarity?

Coplanarity is an important concept in mathematics and physics, as it allows for the simplification of many calculations and problems involving multiple vectors. It is also a fundamental concept in understanding the geometry of 3D space.

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