13.12
Imagine standing on a gently curved hill and focusing on a single point underfoot. At a very small scale, the surface looks almost flat.
This can be visualized as a flat board resting on the hill at that specific point. Mathematically, this is the tangent plane.
To define this plane for a surface where height z depends on x and y, two slices of the surface are taken at the chosen point: one parallel to the xz-plane and the other parallel to the yz-plane.
Each slice forms a curve on the surface, and each curve has a tangent line with a specific slope at that point. These slopes come from partial derivatives. The tangent plane is the unique flat surface that contains the tangent lines of both curves.
The equation of this plane shows the change in height as a linear combination of changes in x and y. In this equation, the coefficients are the partial derivatives, representing the slopes of the two curves.
Near the chosen point, this linear equation closely approximates the surface, making complex shapes easier to analyze.
In multivariable calculus, the concept of a tangent plane plays a central role in approximating curved surfaces. When dealing with a surface defined by a function of two variables, such as z = f(x, y), the tangent plane at a given point provides the best linear approximation to the surface near that point. This local linearization allows complex, nonlinear geometries to be treated using simpler, planar models.
The construction of the tangent plane involves taking vertical slices of the surface along planes where either x or y is held constant. These slices yield curves on the surface, and the tangent lines to these curves at a chosen point define the directional derivatives in the x and y directions. These directional slopes, given by the partial derivatives fx and fy, find the orientation of the tangent plane.
The equation of the tangent plane at a point (x0, y0, z0) is given by:
\begin{equation*}z-z_0=f_x(x_0,y_0)(x-x_0)+f_y(x_0,y_0)(y-y_0)\end{equation*}
This equation provides a linear approximation of the surface near the chosen point, accurately describing its behavior over small distances.
Imagine standing on a gently curved hill and focusing on a single point underfoot. At a very small scale, the surface looks almost flat.
This can be visualized as a flat board resting on the hill at that specific point. Mathematically, this is the tangent plane.
To define this plane for a surface where height z depends on x and y, two slices of the surface are taken at the chosen point: one parallel to the xz-plane and the other parallel to the yz-plane.
Each slice forms a curve on the surface, and each curve has a tangent line with a specific slope at that point. These slopes come from partial derivatives. The tangent plane is the unique flat surface that contains the tangent lines of both curves.
The equation of this plane shows the change in height as a linear combination of changes in x and y. In this equation, the coefficients are the partial derivatives, representing the slopes of the two curves.
Near the chosen point, this linear equation closely approximates the surface, making complex shapes easier to analyze.
From Chapter 13:
Now Playing
Partial Derivatives and Gradients
52 Views
Partial Derivatives and Gradients
101 Views
Partial Derivatives and Gradients
73 Views
Partial Derivatives and Gradients
59 Views
Partial Derivatives and Gradients
12 Views
Partial Derivatives and Gradients
52 Views
Partial Derivatives and Gradients
11 Views
Partial Derivatives and Gradients
67 Views
Partial Derivatives and Gradients
106 Views
Partial Derivatives and Gradients
51 Views
Partial Derivatives and Gradients
12 Views
Partial Derivatives and Gradients
15 Views
Partial Derivatives and Gradients
48 Views
Partial Derivatives and Gradients
13 Views
Partial Derivatives and Gradients
17 Views
See More