Properties of Gradient Vector Field (2014) – Directional Derivative on Unit Circ
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₂ΛM 1: Lagrange Multipliers with One Constraint. Examples
① This example demonstrates the geometric meaning of the directional derivative in a gradient vector field by moving a point on the unit circle to explore how the rate of change varies with direction. ② Core mathematical concepts include gradient vectors, directional derivatives, partial derivatives, and vector fields, fundamental to multivariable calculus. ③ Construction highlights: using GeoGebra commands such as Sequence, Derivative, Point, Vector, Circle, OrthogonalLine, Intersect, and Angle, the applet builds a function f, its partial derivatives f_x and f_y, a direction vector u controlled by a point A on the unit circle, and auxiliary lines/points to visualize the projection of the gradient onto the direction. ④ Suitable for university-level calculus or advanced high school students, ideal for classroom demonstrations to foster intuitive understanding of directional derivatives and gradient properties.
GeoGebra Commands & Parameters
Sequence(f(x, y) - h = 0, h, -4, 4) → list1Derivative(f, x) → f_xDerivative(f, y) → f_yPoint(list1) → AVector(A, A + (f_x(a, b), f_y(a, b))) → uCircle(A, 1) → cVector(A, A + (((p * f_x(a, b)) + (q * f_y(a, b))) * (cos(t), sin(t)))) → vOrthogonalLine(A, u) → hIntersect(c, h) → C, DAngle(C, A, E) → α
AI Drawing Prompt Reference
Create a point A on the unit circle and calculate the partial derivatives f_x and f_y of function f at point A to generate the gradient vector u. Then, create a direction vector v whose direction is determined by point A on the unit circle and the gradient vector u. Using the intersection points C and D of the unit circle and direction vector v, calculate the angle α between the gradient vector u and the positive x-axis.
The prompt above was compiled from the original drawing commands and is for reference only.