Nature of Critical Points of Function f(x, y): Local Max/Min and Saddle
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₁ΛM 0 -Critical points and their nature using hessian matrix
This example demonstrates the nature of critical points of a function f(x, y), including local maxima, minima, and saddle points, using geometric methods. Key mathematical concepts include derivatives, matrices, and calculus. GeoGebra commands such as ImplicitCurve, Simplify, and Zip are used to dynamically illustrate the function's properties. Suitable for university-level calculus and coordinate geometry courses.
GeoGebra Commands & Parameters
ImplicitCurve(fy0(x, y)) → ay0ImplicitCurve(fx0(x, y)) → ax0Simplify(Derivative[f, x, 1]) → fxSimplify(Derivative[f, y, 1]) → fyImplicitCurve(fx(x, y)) → axImplicitCurve(fy(x, y)) → aySimplify(Derivative[fx, x, 1]) → fxxSimplify(Derivative[fx, y, 1]) → fxySimplify(Derivative[fy, y, 1]) → fyySimplify(Derivative[fy, x, 1]) → fyxZip({{fxx(a), fxy(a)}, {fyx(a), fyy(a)}}, a, l1) → MZip(Determinant[a], a, M) → DZip(fxx(a), a, l1) → f_{xx}Sequence(If[D(i) > 0, If[f_{xx}(i) > 0, "local minimum", "local maximum"], If[(D(i) * f_{xx}(i)) ≟ 0, "?", "saddle point"]], i, 1, Length[l1]) → l4Zip((x(a), y(a), f(a)), a, l1) → l5Zip(fx(a), a, l1) → lfxZip(fy(a), a, l1) → lfyTableText(Append["i", 1…Length[l1]], Append["critical points", l5], Append["f_{x}", lfx], Append["f_{y}", lfy], Append["f_{xx}", f_{xx}], Append["Det", D], Append["", l4], "v") → text1LaTeX(f, true) → text2Sequence(If[D(i) > 0, If[f_{xx}(i) > 0, 1, 2], If[D(i) ≟ 0, -5, -1]], i, 1, Length[l1]) → l4aSort(l5, l4a) → l5aSort(l1, l4a) → l1aLength(lmax) → lämaxLength(lmin) → läminLength(lsad) → läsadSort(l4, l4a) → l4aaTableText(Append["i", 1…Length[l1]], Append["critical points", l5a], Append["", l4aa], "v") → text1aLength(lq) → läqImplicitCurve(f(x, y) - z0) → IFxyZip((x(a), y(a)), a, lsad) → lsad_2Zip((x(a), y(a)), a, lq) → lq_2Zip((x(a), y(a)), a, lmax) → lmax_2Zip((x(a), y(a)), a, lmin) → lmin_2RotateText(txt1, 90°) → txt2