Why is the vector equation of a plane defined as n • (r-r0) = 0?

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Discussion Overview

The discussion revolves around the vector equation of a plane defined as n • (r-r0) = 0. Participants explore the implications of this definition, questioning its adequacy in uniquely defining a plane and examining the relationship between normal vectors and points on the plane. The scope includes conceptual clarification and mathematical reasoning.

Discussion Character

  • Conceptual clarification
  • Mathematical reasoning
  • Debate/contested

Main Points Raised

  • One participant questions why the vector equation n • (r-r0) = 0 is a suitable definition of a plane, noting that multiple normal vectors could be orthogonal to a single vector a defined as (r-r0).
  • Another participant clarifies that the equation represents a property of planes rather than a strict definition, emphasizing that every plane is two-dimensional and has a unique normal line through any point on it.
  • A later reply challenges the notion that the vector equation does not define a unique plane, referencing a book that states it does, and asks how to derive the standard Cartesian equation from the vector equation.
  • One participant provides a mathematical explanation of the sets P and Q to illustrate how the vector equation can define a plane containing a specific point r0.
  • Another participant reflects on their earlier confusion, acknowledging that the vector equation may seem ambiguous until a specific vector is added, leading to a unique plane definition.

Areas of Agreement / Disagreement

Participants express differing views on whether the vector equation n • (r-r0) = 0 serves as a proper definition of a plane. Some argue it is a property, while others assert it defines a unique plane. The discussion remains unresolved regarding the adequacy of the definition.

Contextual Notes

There are unresolved assumptions regarding the interpretation of the vector equation and its relationship to Cartesian equations. The discussion includes varying perspectives on the uniqueness of planes defined by normal vectors.

That Neuron
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Just curious about a certain facet of the vector description of a plane. My query is as to why it is defined as n • (r-r0) = 0. Great, that's because any two vectors with a dot product of 0 must be orthogonal to each other and if we have a point on a infinite plane with an associated vector we can define the plane perfectly. BUT here is my problem (Which will be resolved after a few minutes on here, I'm sure) If we can define the vector (r-r0) as a single vector, say a, then why it seems to me that a multitude of different n vectors could be orthogonal to vector a, and thus it seems like a poor definition of a plane.

Just wondering if anyone can clear this up for me.


:)

Thanks.
 
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That Neuron said:
If we can define the vector (r-r0) as a single vector, say a, then why it seems to me that a multitude of different n vectors could be orthogonal to vector a, and thus it seems like a poor definition of a plane.
That's NOT a "definition" of a plane but it is a property of any plane. Every plane is two dimensional- given any point in the plane there exist an infinite number of lines through that point lying in the plane. Further, there exist a unique line (normal to the plane) through that poit and perpendicular to all those lines.
 
HallsofIvy said:
That's NOT a "definition" of a plane but it is a property of any plane. Every plane is two dimensional- given any point in the plane there exist an infinite number of lines through that point lying in the plane. Further, there exist a unique line (normal to the plane) through that poit and perpendicular to all those lines.

Right, BUT my book says that it is a definition (Or at least says that it determines a single plane) which is weird.

Also, how can we derive the standard cartesian equation a(x-x0) + b(y-y0) + c(z-z0) from the vector equation?
 
That Neuron said:
If we can define the vector (r-r0) as a single vector, say a, then why it seems to me that a multitude of different n vectors could be orthogonal to vector a, and thus it seems like a poor definition of a plane.
That "multitude" of vectors is the set
$$P=\left\{\mathbf r\in\mathbb R^3:\mathbf n\cdot\mathbf r=\mathbf 0\right\}.$$ This is a plane that contains ##\mathbf 0##. Now let ##\mathbf r_0\in\mathbb R^3## be arbitrary and consider the set
$$Q=\left\{\mathbf r\in\mathbb R^3:\mathbf n\cdot(\mathbf{r-r_0})=\mathbf 0\right\}.$$ For all ##\mathbf r\in Q##, ##\mathbf r-\mathbf{r_0}## is in the plane Q. This observation should make it easier to see that Q is a plane that contains ##\mathbf r_0##. Q is what you get if you take P and add ##\mathbf r_0## to every vector in it.

That Neuron said:
Also, how can we derive the standard cartesian equation a(x-x0) + b(y-y0) + c(z-z0) from the vector equation?
\begin{align}
&\mathbf r =(x,y,z)\\
&\mathbf r_0 =(x_0,y_0,z_0)\\
&\mathbf n =(a,b,c)
\end{align}
 
Oh, I see the mistake in my logic, I was looking at the cartesian equation being ambiguous as a result of the vector equation, I suppose that the vector equation is ambiguous until we add the actual vector, then we get a unique equation for the plane.

Don't know what I was thinking. There's only one plane orthogonal to a particular 'normal' vector, even if there are several vectors orthogonal to a single plane.
 

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