Following on from a previous question - Plane Equation Where D Not Equal to Zero:
I am trying to develop an intuitive understanding for the equation of a plane, specifically, plane equations where $D \neq 0$:
$Ax + By + Cz = D$
In the image below is a 3-D space. The orange parallelogram represents a plane which does not intersect the origin. Points $P_1$, $P_2$ and $P_3$ all lie on the plane.
These points can be represented with position vectors; where $\vec v_1$, $\vec v_2$ and $\vec v_3$ correspond to the points $P_1$, $P_2$ and $P_3$ respectively:
Based on how I currently understand it, the vectors pictured below: $(\vec v_1 - \vec v_2)$ and $(\vec v_3 - \vec v_2)$, are parallel to the plane, which is to say that if either of them were moved and placed directly onto the plane, they would lie completely flat across it. Taking the cross product of $(\vec v_1 - \vec v_2) \times (\vec v_3 - \vec v_2)$ should yield a vector ($\vec n$) which is orthogonal to both $(\vec v_1 - \vec v_2)$ and $(\vec v_3 - \vec v_2)$, and therefore the plane. I haven't attempted to draw the normal vector $\vec n$ because it seems to me that it would be around about on the y-axis - so it should be pretty easy to visualise:
Based on what I have just gone through, there are two facts that seem to be in contradiction of each other:
- The vector $\vec n$ is normal to both $(\vec v_1 - \vec v_2)$ and $(\vec v_3 - \vec v_2)$, $\vec n$ is therefore normal to the plane (as $(\vec v_1 - \vec v_2)$ and $(\vec v_3 - \vec v_2)$, are parallel to the plane).
- $Ax + By + Cz \neq 0$
The value of $D$ in the plane equation cannot be equal to $0$, since the plane does not pass through the origin. Conversely, either of the vectors $(\vec v_1 - \vec v_2)$ or $(\vec v_3 - \vec v_2)$ dotted with the normal vector $(Ax + By + Cz)$ should be equal to $0$ since both vectors are orthogonal to the normal vector (or at least it appears this way to me).



There’s no contradiction here. What seems to be tripping you up is that being normal to a plane is not the same thing as being orthogonal to the position vector of a point on the plane. To reduce the proliferation of symbols, in the following I’ll identify points with their position vectors, as is often done when working in $\mathbb R^n$.
We can use your property #1 to define a plane in $\mathbb R^3$: given a vector $\vec n=(A,B,C)\ne0$ and a point $P_0$, the plane through $P_0$ with normal $\vec n$ is the set of points $P$ such that $\vec n\cdot(P-P_0)=0$. It’s easy to verify property #1 for this definition. If $P_1$ and $P_2$ are any two points on the plane, then $$\vec n\cdot(P_1-P_2) = \vec n\cdot(P_1-P_0+P_0-P_2) = \vec n\cdot(P_1-P_0)+\vec n\cdot(P_2-P_0)=0.$$ We can rewrite the defining equation of the plane as $$\vec n\cdot P=\vec n\cdot P_0.\tag{*}$$ The point $P_0$ is fixed, so this equation says that the dot product with $\vec n$ of (the position vector of) every point on the plane is constant. Call this constant $-D$ and expand this equation in terms of coordinates to obtain the familiar $Ax+By+Cz+D=0$. Note that it doesn’t necessarily follow that $\vec n\cdot P=0$.
Now suppose that $P=\alpha\vec n$ is a point on the plane. We then have $\vec n\cdot P = \alpha\vec n\cdot\vec n=-D$, from which $\alpha = -D/\lVert\vec n\rVert^2$. So, if $\alpha\gt0$, we can reach the plane from the origin by moving a distance of $\lvert D\rvert/\lVert\vec n\rVert$ in the direction of $\vec n$; if $\alpha\lt0$, we move in the direction opposite to $\vec n$; and if $\alpha=0$, the origin lies on the plane. Since $\vec n$ is orthogonal to the plane, $\lvert D\rvert/\lVert\vec n\rVert$ the also the distance of the plane from the origin.
Recall that the orthogonal projection of a vector $\vec v$ onto $\vec n$ is given by the expression $$\left({\vec n\over\lVert\vec n\rVert} \cdot \vec v\right){\vec n\over\lVert\vec n\rVert} = {\vec n\cdot\vec v\over \vec n\cdot\vec n}\vec n.$$ Multiplying both sides of equation (*) by $\vec n/(\vec n\cdot\vec n)$, we have $${\vec n\cdot P\over\vec n\cdot\vec n}\vec n = {\vec n\cdot P_0\over\vec n\cdot\vec n}\vec n,$$ which gives us another characterization of the plane: it’s the set of points whose position vectors have the same orthogonal projection onto a fixed nonzero vector $\vec n$. This last should make clear why $\vec n\cdot P$ for a point on the plane is not necessarily equal to zero: this fixed projection onto $\vec n$ can be any scalar multiple of $\vec n$.