尝试绘制导数函数图像 by Marc Renault
几何画板及绘图内容加载中,请稍等……
①本范例演示如何通过绘制原函数图像来推断并绘制其导数函数图像;②涉及的核心数学概念包括导数的几何意义、函数图像特征、线性拟合等;③作图要点——从下方『构造摘要』提炼用到了 Sequence(数列)、Corner(角点)、FitPoly(多项式拟合)、Function(函数)、Segment(线段)、Point(点)等 GeoGebra 命令/对象;④适合高中阶段学生学习微积分初步,理解导数与原函数图像之间的关系。
GeoGebra 命令及参数
Sequence((i, Random[-2, 3] + (0 * dummy)), i, -12, 12, 3) → fPointListCorner(1) → panelPt1Corner(4) → panelPt4FitPoly(fPointList, Length[fPointList] - 1) → fFunction(f, -6, 6) → fResFunction(g, -6, 6) → gResSegment((-6, -3.5), (-6, 4.5)) → segASegment((-5, -3.5), (-5, 4.5)) → segBSegment((-4, -3.5), (-4, 4.5)) → segCSegment((-3, -3.5), (-3, 4.5)) → segDSegment((-2, -3.5), (-2, 4.5)) → segESegment((-1, -3.5), (-1, 4.5)) → segFSegment((0, -3.5), (0, 4.5)) → segGSegment((1, -3.5), (1, 4.5)) → segHSegment((2, -3.5), (2, 4.5)) → segISegment((3, -3.5), (3, 4.5)) → segJSegment((4, -3.5), (4, 4.5)) → segKSegment((5, -3.5), (5, 4.5)) → segLSegment((6, -3.5), (6, 4.5)) → segMPoint(segA) → APoint(segB) → BPoint(segC) → CPoint(segD) → DPoint(segE) → EPoint(segF) → FPoint(segG) → GPoint(segH) → HPoint(segI) → IPoint(segJ) → JPoint(segK) → KPoint(segL) → LPoint(segM) → MFitPoly({A, B, C}, 2) → parABCFitPoly({C, D, E}, 2) → parCDEFitPoly({E, F, G}, 2) → parEFGFitPoly({G, H, I}, 2) → parGHIFitPoly({I, J, K}, 2) → parIJKFitPoly({K, L, M}, 2) → parKLMFitPoly({B, C, D}, 2) → parBCDFitPoly({D, E, F}, 2) → parDEFFitPoly({F, G, H}, 2) → parFGHFitPoly({H, I, J}, 2) → parHIJFitPoly({J, K, L}, 2) → parJKLFunction(parABC, x(A), x(B)) → conABFunction((parABC(x) * (1 - (x + 5))) + (parBCD(x) * (x + 5)), -5, -4) → conBCFunction((parBCD(x) * (1 - (x + 4))) + (parCDE(x) * (x + 4)), -4, -3) → conCDFunction((parCDE(x) * (1 - (x + 3))) + (parDEF(x) * (x + 3)), -3, -2) → conDEFunction((parDEF(x) * (1 - (x + 2))) + (parEFG(x) * (x + 2)), -2, -1) → conEFFunction((parEFG(x) * (1 - (x + 1))) + (parFGH(x) * (x + 1)), -1, 0) → conFGFunction((parFGH(x) * (1 - (x + 0))) + (parGHI(x) * (x + 0)), 0, 1) → conGHFunction((parGHI(x) * (1 - (x - 1))) + (parHIJ(x) * (x - 1)), 1, 2) → conHIFunction((parHIJ(x) * (1 - (x - 2))) + (parIJK(x) * (x - 2)), 2, 3) → conIJFunction((parIJK(x) * (1 - (x - 3))) + (parJKL(x) * (x - 3)), 3, 4) → conJKFunction((parJKL(x) * (1 - (x - 4))) + (parKLM(x) * (x - 4)), 4, 5) → conKLFunction(parKLM, 5, 6) → conLM
AI 绘图提示语参考
绘制一个函数的图像及其导数图像。首先随机生成一个函数图像,然后通过分析图像的拐点和斜率,拟合出导数函数的多项式。接着在y轴上画出一个矩形区域,然后通过拟合多项式,连接相邻的拐点,构造出导数函数的图像。最后,使用这些多项式函数,绘制出导数函数的连续图像。
以上提示语为根据原始绘图命令整理而来,仅供参考。