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Tangent Planes and Linear Approximations

Just as in 2-space we can visualize the line tangent to a curve at a point, in 3-space we can picture the plane tangent to a surface at a point.

Consider the surface given by z = f(x,y). Let (x0,y0,z0) be any point on this surface. If f(x,y) is differentiable at (x0,y0), then the surface has a tangent plane at (x0,y0,z0). The equation of the tangent plane at (x0,y0,z0) is given by

fx(x0,y0)(x-x0)+fy(x0,y0)(y-y0)-(z-z0) = 0

Notes

  • Recall that the equation of the plane containing a point (x0,y0,z0) and normal to the vector n = (a,b,c) is
    a(x-x0)+b(y-y0)+c(z-z0) = 0.
    The derivation of the equation for the tangent plane just involves showing that the tangent plane is normal to the vector n = (fx(x0,yy), fy(x0,y0),-1).

  • For surfaces F(x,y,z) = 0 that are not easily solved for z, the equation of the tangent plane at (x0,y0,z0) is
    Fx(x0,y0,z0)(x-x0) + Fy(x0,y0,z0)(y-y0) + Fz(x0,y0,z0)(z-z0) = 0
    provided that ÑF(x0,y0,z0) ¹ 0. Note that if we let F(x,y,z) = f(x,y)-z, we obtain the equation given for the tangent plane to z = f(x,y) at (x0,y0,z0).

Example

Let's find the equation of the plane tangent to the surface z = 4x3y2+2y at the point (1,-2,12).

Since f(x,y) = 4x3y2+2y ,

fx(x,y) = 12x2y2 and fy(x,y) = 8x3y +2.
With x = 1 and y = -2,
fx(1,-2)
=
12(1)2(-2)2 = 48
fy(1,-2)
=
8(3)3(-2)+2 = -14.
Thus, the tangent plane has normal vector n = (48,-14,-1) at (1,-2,12) and the equation of the tangent plane is given by
48(x-1)-14( y-(-2)) -(z-12) = 0.
Simplifying,
48x-14y-z = 64

The following Exploration allows you to plot the surface from the previous example (as well as a few other surfaces) and the tangent plane at various points. Zoom in on a particular point. What do you notice about the surface and the tangent plane near the point?

Exploration

The tangent plane to a surface at a point stays close to the surface near the point. In fact, if f(x,y) is differentiable at the point (x0,y0), the tangent plane to the surface z = f(x,y) at (x0,y0) provides a good approximation to f(x,y) near (x0,y0):

Solving fx(x0,y0)(x-x0) + fy(x0,y0)(y-y0)-(z-z0) = 0 for z,
z = z0 +fx(x0,y0)(x-x0) + fy(x0,y0)(y-y0).

Since z0 = f(x0,y0), we have that
z = f(x0,y0)+fx(x0,y0)(x-x0) + fy(x0,y0)(y-y0).

Near (x0,y0), the surface is close to the tangent plane. Thus,
f(x,y) » f(x0,y0)+fx(x0,y0)(x-x0) + fy(x0,y0)(y-y0)

We call this the linear approximation or local linearization of f(x,y) near (x0,y0).

Notes

  • The linear approximation is really just the multivariable Taylor polynomial of degree 1 for f(x,y) about (x0,y0). It is only accurate near (x0,y0). Better approximations can be obtained by using higher-order Taylor polynomials.

  • These concepts can be extended to functions of more than two variables:
    f(x,y,z) » f(x0,y0,z0)+fx(x0,y0,z0)(x-x0) +fy(x0,y0,z0)(y-y0) + fz((x0,y0,z0)(z-z0)
    where f(x,y,z) is differentiable at (x0,y0,z0).

Example

From our work in the previous example, the linear approximation to f(x,y) = 4x3y2+2y near x = 1, y = -2 is

f(x,y) » 48x-14y-64.
This is, of course, exact at x = 1, y = -2:
f(1,-2) = 12 = 48(1)-14(-2)-64.
At x = 1.1 and y = -1.9, according to the linear approximation,
f(1.1,-1.9) » 48(1.1) -14(-1.9)-64 = 15.4,
which is very close to the exact value f(1.1,-1.9) = 15.41964!


Key Concepts

  • Tangent Plane to a Surface

    Let (x0,y0,z0) be any point on the surface z = f(x,y). If f(x,y) is differentiable at (x0,y0), then the surface has a tangent plane at (x0,y0,z0) given by

    fx(x0,y0)(x-x0)+fy(x0,y0)(y-y0)-(z-z0) = 0

  • Linear Approximation to a Surface

    If f(x,y) is differentiable at (x0,y0), then near (x0,y0)

    f(x,y) » f(x0,y0)+fx(x0,y0)(x-x0) + fy(x0,y0)(y-y0).