Directional Derivatives and Gradient
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₂ΛM 1: Lagrange Multipliers with One Constraint. Examples
This example illustrates the concepts of directional derivatives and gradients. It constructs the gradient vector at a point on a 3D surface and the directional derivative along any direction. Key mathematical concepts include derivatives, vectors, and 3D surfaces. GeoGebra commands used include Circle, Point, Derivative, Vector, ImplicitCurve, Plane, CurveCartesian, Textfield, Length, Segment, Function, Rotate, OrthogonalLine, IntersectPath, Angle, Intersect, Element, etc. Suitable for university calculus courses.
GeoGebra Commands & Parameters
Circle(P, 1) → tPoint(t) → BDerivative(f(x, y), x) → fxDerivative(f(x, y), y) → fyVector(P, P + (fx(x(P), y(P)), fy(x(P), y(P)))) → gradImplicitCurve(f(x, y) - f(x(P), y(P))) → cImplicitCurve(f(x, y)) → dImplicitCurve(f(x, y) - 1) → gImplicitCurve(f(x, y) - 2) → hImplicitCurve(f(x, y) - 3) → iImplicitCurve(f(x, y) - 4) → jImplicitCurve(f(x, y) - 5) → kImplicitCurve(f(x, y) + 1) → lImplicitCurve(f(x, y) + 2) → mImplicitCurve(f(x, y) + 3) → nImplicitCurve(f(x, y) + 4) → oImplicitCurve(f(x, y) + 5) → pPlane(P, P', P + (fx(x(P), y(P)), fy(x(P), y(P)))) → rCurveCartesian(x(P) + (fx(x(P), y(P)) * w), y(P) + (fy(x(P), y(P)) * w), w, -100, 100) → qCurveCartesian(x(P') + (fx(x(P), y(P')) * Q), y(P') + (fy(x(P), y(P)) * Q), z(P') + (((fx(x(P), y(P)))^(2) + (fy(x(P), y(P)))^(2)) * Q), Q, -100, 100) → eTextfield(f) → InputBox1Textfield(Px) → InputBox2Textfield(Py) → InputBox3Length(grad) → normgradSegment(P'', P') → sFunction(f(x(P'), y(P')) + (fx(x(P'), y(P')) * (x - x(P'))) + (fy(x(P'), y(P')) * (y - y(P'))), x(P) - 1, x(P) + 1, y(P) - 1, y(P) + 1) → bRotate(B, θ, P) → AVector(P, A) → uOrthogonalLine(P, u, xOyPlane) → f_1OrthogonalPlane(P'', f_1) → vIntersectPath(v, f) → wIntersectPath(v, b) → a_1Angle(B, P, A) → βTextfield(θ) → InputBox4Point(zAxis) → CIntersect(zAxis, xAxis) → DVector(C, D) → u_1Point(yAxis) → EVector(E, D) → v_1Point(xAxis) → FVector(F, D) → w_1Element(list1, faces) → Selectedvector
AI Drawing Prompt Reference
Draw a 3D surface and its gradient vector and directional derivative at a point on the surface. First, draw the surface, then select a point on the surface, compute the gradient vector at that point, and draw the gradient vector. Next, draw the curve of the directional derivative at that point. Finally, draw the normal plane and the normal vector in the plane.
The prompt above was compiled from the original drawing commands and is for reference only.