Section 10.3 Tangent Planes
Subsection 10.3.1 Generalizing Tangents
In single variable calculus, derivatives allowed us to find the slopes and equations of tangent lines to the graph of a function. We want to extend this idea. For functions of two variables, we have graphs which are surfaces in \(\RR^3\) instead of curves in \(\RR^2\text{.}\) These surfaces have tangent planes instead of tangent lines.
If we have such a function \(f(x,y)\) let's look at a particular point \((a,b,f(a,b))\) on the graph of the function. We can calculate the partial derivatives \(f_x(a,b)\) and \(f_y(a,b)\text{.}\) At the point \((a,b,f(a,b))\text{,}\) these two partial derivatives give us the rate of change in \(x\) and in \(y\text{.}\) That's the slope of a tangent line in the \(x\) direction and a tangent line in the \(y\) direction. We'd rather have direction vectors than slopes, but we can construct these. For the \(x\) direciton, the \(y\) coordinate is \(0\) since there is no change in \(y\text{.}\) That gives the vector \((1, 0, f_x(a,b))\text{.}\) Likewise in the \(y\) direction, we have the vector \((0,1,f_y(a,b))\text{.}\) These are two tangent local direction vectors.
If we have two vectors on a plane, the normal of the plane is given by the cross product. So we calculate \((1,0, f_x(a,b)) \times (0,1, f_y(a,b)) = (-f_x(a,b), -f_y(a,b),1)\text{.}\) Therefore, we have the following result.
Proposition 10.3.1.
Let \(f(x,y)\) be a function \(\RR^2 \rightarrow \RR\text{.}\) The equation of the tangent plane to \(f\) at \((a,b,f(a,b))\) is
Proof.
We just calculated the normal at any point \((a,b,f(a,b))\) on the graph of the function. That vector was \((-f_x(a,b), -f_y(a,b),1)\text{.}\) The equation of the plane is given by the dot product of the variables with the normal. Here is this dot product, with an unknown value \(c\text{.}\)
We have a point on the plane: \((a,b,f(a,b))\text{.}\) By substitution, we can solve for \(c\text{.}\)
Putting this \(c\) in gives the equation of the plane.
From here, is it just a re-arrangement to get the form in the proposition.
Subsection 10.3.2 Tangent Plane Examples
Example 10.3.2.
Consider \(f(x,y) = \frac{1}{1 + x^2 + y^2}\text{.}\)
At the point \((x,y) = (1,1)\text{,}\) we have \(f_x(1,1) = \frac{-2}{9}\) and \(f_y(1,1) = \frac{-2}{9}\text{.}\) The normal is \(\left( \frac{-2}{9}, \frac{-2}{9}, 1 \right)\) and the point is \(\left(1,1, \frac{1}{3} \right)\text{.}\) The tangent plane is
At the point \((x,y) = (0,0)\text{,}\) we have \(f_x(0,0) = 0\) and \(f_y(0,0) = 0\text{.}\) The normal is \((0,0,1)\) and the point is \((0,0,1)\text{.}\) The tangent plane is
At the point \((x,y) = (-2,2)\text{,}\) we have \(f_x(-2,2) = \frac{4}{81}\) and \(f_y(-2,2) = \frac{-4}{81}\text{.}\) The normal is \(\left( \frac{-4}{81}, \frac{4}{81}, 1 \right)\) and the point is \(\left(-2,2, \frac{1}{9} \right)\text{.}\) The tangent plane is
Subsection 10.3.3 Higher Dimensions
The definition of tangent planes for \(f: \RR^2 \rightarrow \RR\) extends to as many dimensions as we want. A function \(f: \RR^3 \rightarrow \RR\) has a graph in \(\RR^4\text{.}\) Its tangent spaces are 3-spaces in \(\RR^4\text{.}\) We can understand those 3-spaces in a very similar method. We calcluate the three local tangent directions.
There isn't a cross-product in \(\RR^4\text{,}\) but we can genearlize the pattern in this case to get the normal to the tangent 3-space.
The equation of the tangent 3-space at \((a,b,c,f(a,b,c))\) is
And we could extend this to \(f: \RR^n \rightarrow \RR\text{,}\) which has a tangent hyperplane in \(\RR^{n+1}\text{.}\)
The normal to the tangent hyperplane is
The equation of the tangent hyperplane at \((a_1, a_2, a_3, \ldots, a_n, f(a_1, a_2, \ldots, a_n))\) is
To connect tangent (hyper)planes to tangents to parametric curves and derivatives along those curves, we have the following result.
Proposition 10.3.3.
Let \(\gamma(t)\) be a parametric curve in \(\RR^{n+1}\) and \(f: \RR^n \rightarrow \RR\) a differentiable function. Then if \(\gamma(t)\) lies on the graph of \(f\text{,}\) the tangents to \(\gamma(t)\) must lie on the tangent planes to the graph of \(f\text{.}\) (All these tangent vectors are local direction vectors).
Example 10.3.4.
Consider the same function as Example 10.3.2: \(f(x,y) = \frac{1}{1+x^2+y^2}\text{.}\) Then consider the parametric curves \(\gamma_1(t) = \left(t,1, \frac{1}{2+t^2} \right)\) and \(\gamma_2(t) = \left(1, t, \frac{1}{2+t^2} \right)\text{.}\) It is easy to check that both curves lie on the graph of \(f\) and both pass through the point \(\left(1,1,\frac{1}{3} \right)\) at \(t=1\text{.}\) Then we can calculate the tangents to the curves at that point and the plane they span.
This gives exactly the same normal at the same point \(\left( 1,1,\frac{1}{3} \right)\text{,}\) so the same plane. We can think of tangent planes at the environment for tangents to curves which lie on the graph of the function.