Why Is the Normal Vector of a Tangent Plane Equal to the Gradient?

In summary, the normal vector for a tangent plane to a surface is equal to the gradient vector because it is orthogonal to all possible curves passing through a point on the surface. This can be shown through differentiation and the fact that the tangent vector is perpendicular to the level surface.
  • #1
chemicalsss
2
0
For a tangent plane to a surface, why is the normal vector for this plane equal to the gradient vector? Or is it not?
 
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  • #2
You have to be a bit more precise: if a surface is defined by

[tex]f(\mathbf{x})=0[/tex]

then

[tex]\nabla f\big|_{\mathbf{x}_0}[/tex]

is a vector tangent to the surface at point x0. This is because it is orthogonal to the velocities of all possible curves that pass through x0:

[tex]0=df=\nabla f\cdot\mathbf{v}[/tex]
 
  • #3
Hi, there is a quick proof of this.
Suppose a surface:
F(x,y,z)=Costant

and a point:
P(x0,y0,z0) [tex]\in[/tex] surface.

Let C be a curve on the surface passing through P. This curve can be described by a vector function:
r(t)=(x(t),y(t),z(t))

let:
r(t0)=(x0,y0,z0)

C lies on the surface this implies that:
F(r(t))=Costant

differentiating (if F and r are differentiable) we have:
(∂F/∂x)(dx/dt)+(∂F/∂y)(dy/dt)+(∂F/∂z)(dz/dt)=0

∇F·r'(t)=0
[tex]\Rightarrow[/tex] The vector r'(t) (tangent to the surface) is perpendicular to the levele surface.
 
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Related to Why Is the Normal Vector of a Tangent Plane Equal to the Gradient?

1. What is a gradient?

The gradient is a mathematical concept used in the field of calculus, specifically in multivariable calculus. It is a vector that represents the direction and magnitude of the steepest increase of a function at a given point. In other words, it shows the direction in which the function is increasing the fastest.

2. What is a tangent plane?

A tangent plane is a flat surface that touches a given point on a curved surface. In the context of gradient and tangent planes, it refers to the plane that is perpendicular to the gradient vector at a specific point on a function. This tangent plane is used to approximate the behavior of the function at that point.

3. How is the gradient related to the tangent plane?

The gradient and the tangent plane are closely related. The gradient vector is always perpendicular to the tangent plane at a given point on a function. This means that the gradient vector is a normal vector to the tangent plane, and the direction of the gradient vector determines the direction of the steepest increase of the function.

4. What is the significance of gradient and tangent planes in real life?

Gradient and tangent planes have various real-life applications, especially in fields such as physics, engineering, and economics. They are used to model and understand the behavior of physical and economic systems, such as heat flow, fluid dynamics, and stock market trends. For example, in physics, the gradient of a temperature function can be used to determine the direction of heat flow at a specific point in space.

5. How can I use gradient and tangent planes to optimize a function?

Gradient and tangent planes are useful tools for optimization problems. By finding the gradient vector and the tangent plane at a particular point on a function, one can determine the direction of the steepest increase or decrease of the function. This information can be used to find the maximum or minimum values of the function, which is often the goal in optimization problems.

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