Presentation is loading. Please wait.

Presentation is loading. Please wait.

Section 15.6 Directional Derivatives and the Gradient Vector.

Similar presentations


Presentation on theme: "Section 15.6 Directional Derivatives and the Gradient Vector."— Presentation transcript:

1 Section 15.6 Directional Derivatives and the Gradient Vector

2 The directional derivative of f at (x 0, y 0 ) in the direction of a unit vector is if this limit exists. THE DIRECTIONAL DERIVATIVE

3 COMMENTS ON THE DIRECTIONAL DERIVATIVE If u = i, then D i f = f x. If u = j, then D j f = f y.

4 THE DIRECTIONAL DERIVATIVE AND PARTIAL DERIVATIVES Theorem: If f is a differentiable function of x and y, then f has a directional derivative in the direction of any unit vector and D u f (x, y) = f x (x, y) a + f y (x, y) b

5 THE DIRECTIONAL DERIVATIVE AND ANGLES If the unit vector u makes an angle θ with the positive x-axis, then we can write and the formula for the directional derivative becomes D u f (x, y) = f x (x, y) cos θ + f y (x, y) sin θ

6 VECTOR NOTATION FOR THE DIRECTIONAL DERIVATIVE

7 THE GRADIENT VECTOR If f is a function of two variables x and y, then the gradient of f is the vector function defined by NOTATION: Another notation for the gradient is grad f.

8 THE DIRECTIONAL DERIVATIVE AND THE GRADIENT The directional derivative can be expressed by using the gradient

9 The directional derivative of f at (x 0, y 0, z 0 ) in the direction of a unit vector is if this limit exists. THE DIRECTIONAL DERIVATIVE IN THREE VARIABLES

10 VECTOR FORM OF THE DEFINITION OF THE DIRECTIONAL DERIVATIVE The directional derivative of f at the vector x 0 in the direction of the unit vector u is NOTE: This formula is valid for any number of dimensions: 2, 3, or more.

11 THE GRADIENT IN THREE VARIABLES If f is a function of three variables, the gradient vector is The directional directive can be expressed in terms of the gradient as

12 Theorem: Suppose f is a differentiable function of two or three variables. The maximum value of the directional derivative D u f (x) is and it occurs when u has the same direction as the gradient vector. MAXIMIZING THE DIRECTIONAL DERIVATIVE

13 Let F be a function of three variables. The tangent plane to the level surface F(x, y, z) = k at P(x 0, y 0, z 0 ) is the plane that passes through P and is tangent to F(x, y, z) = k. Its normal vector is, and its equation is TANGENT PLANE AND NORMAL LINE TO A LEVEL SURFACE The normal line to the level surface F(x, y, z) = k at P is the line passing through P and perpendicular to the tangent plane. Its direction is given by the gradient, and its symmetric equations are


Download ppt "Section 15.6 Directional Derivatives and the Gradient Vector."

Similar presentations


Ads by Google