Tangent Planes and Linear Approximation
Tangent Planes
An equation of the plane tangent to the surface z=f(x,y) at the point (a,b,f(a,b)) is
z=fx(a,b) (x−a)+fy(a,b) (y−b)+f(a,b).
Find the tangent plane to the surface z=3x2+3y2 at (1,1,6).
Solution
Since the partial derivatives are fx=6x and fy=6y, the tangent plane is
z=6(x−1)+6(y−1)+6=6(x+y−1)
We can graph this surface and tangent plane with Matlab:
>> hold on
>> fsurf(@(x,y) 3*x.^2+3*y.^2)
>> fsurf(@(x,y) 6.*x+6.*y-6)

Find the tangent plane to z=4−2x2−y2 at the point (2,2,−8).
z=−8(x−2)−4(y−2)−8
Find the tangent plane to z=exy at the point (1,0,1).
z=y+1
Find the tangent plane to z=ln(1+xy) at the point (1,2,ln3).
z=32(x−1)+31(y−2)+ln3
Linear Approximation
Just as we can use tangent lines to approximate functions of one variable, we can use the tangent plane as a linear approximation for a function of two variables.
If f(x,y)=x2+y25, use the linear approximation at the point (−1,2,1) to estimate the value of f(−1.05,2.1).
Solution
Find the tangent plane to f at (−1,2,1):
fxfx(−1,2)L(x,y)=(x2+y2)2−80x and fy=(x2+y2)2−10y=2510=52 and fy(−1,2)=25−20=−54=fx(a,b) (x−a)+fy(a,b) (y−b)+f(a,b)=52(x+1)−54(y−2)+1
Then use this tangent plane to estimate the value of the function at (−1.05,2.1):
L(−1.05,2.1)=0.9≈f(−1.05,2.1)