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Mathematics · Ch 8 — Differentials and Partial Derivatives

Partial Derivatives

8.5

Partial Derivatives

Motivation. For F(x,y)F(x,y), holding y=y0y=y_0 fixed turns F(x,y0)F(x,y_0) into a function of xx alone, whose graph is the curve cut from the surface z=F(x,y)z=F(x,y) by the plane y=y0y=y_0; its ordinary derivative with respect to xx, evaluated at x=x0x=x_0, is the slope of the tangent to that curve — this is the rate of change of FF in the xx-direction only, with yy held fixed. Symmetrically for yy.

Definition 8.8 (Partial Derivative). Let A={(x,y)∣a<x<b, c<y<d}⊂R2A=\{(x,y)\mid a<x<b,\,c<y<d\}\subset\mathbb R^2, F:A→RF:A\to\mathbb R, (x0,y0)∈A(x_0,y_0)\in A.

  1. FF has a partial derivative with respect to xx at (x0,y0)(x_0,y_0) if lim⁡h→0F(x0+h,y0)−F(x0,y0)h\displaystyle\lim_{h\to0}\frac{F(x_0+h,y_0)-F(x_0,y_0)}{h} exists; the limit value is denoted ∂F∂x(x0,y0)\dfrac{\partial F}{\partial x}(x_0,y_0), also written Fx(x0,y0)F_x(x_0,y_0).
  2. FF has a partial derivative with respect to yy at (x0,y0)(x_0,y_0) if lim⁡k→0F(x0,y0+k)−F(x0,y0)k\displaystyle\lim_{k\to0}\frac{F(x_0,y_0+k)-F(x_0,y_0)}{k} exists; the limit value is ∂F∂y(x0,y0)\dfrac{\partial F}{\partial y}(x_0,y_0), also written Fy(x0,y0)F_y(x_0,y_0). Read ∂F\partial F as "partial FF", ∂x\partial x as "partial xx", and ∂F∂x\dfrac{\partial F}{\partial x} as "partial FF by partial xx" (or "dho FF by dho xx"). If FF has a partial derivative w.r.t. xx at every point of AA, then ∂F∂x(x,y)\dfrac{\partial F}{\partial x}(x,y) is itself a new function on AA. Partial derivatives for three or more variables are defined exactly the same way, one variable at a time with all others frozen. Mechanically, all the usual rules of differentiation (sum, product, quotient, chain) apply unchanged — the only new bookkeeping is that every variable except the one being differentiated is treated as a constant.
    Watch out

    Unlike one variable — where differentiability always implies continuity — the existence of both FxF_x and FyF_y at a point does NOT guarantee FF is continuous there. Example: f(x,y)=0f(x,y)=0 if xy≠0xy\ne0, f(x,y)=1f(x,y)=1 if xy=0xy=0. Along the xx-axis (y=0y=0) or the yy-axis (x=0x=0), f≡1f\equiv1, so both fx(0,0)=0f_x(0,0)=0 and fy(0,0)=0f_y(0,0)=0 exist; yet along the line y=xy=x with x≠0x\ne0, f(x,x)=0≠1=f(0,0)f(x,x)=0\ne1=f(0,0), so ff is not continuous at (0,0)(0,0).

    Worked example. For F(x,y)=x3y2+7xyF(x,y)=x^3y^2+7xy, holding yy fixed and differentiating w.r.t. xx: Fx=3x2y2+7yF_x=3x^2y^2+7y; holding xx fixed and differentiating w.r.t. yy: Fy=2x3y+7xF_y=2x^3y+7x. Evaluate at any given point exactly as with a one-variable derivative. Second-order and mixed partial derivatives. Since FxF_x is again a function of (x,y)(x,y), it can be partially differentiated again:

    ∂2F∂x2=Fxx=∂∂x ⁣(∂F∂x),∂2F∂y2=Fyy,∂2F∂y ∂x=Fxy=∂∂y ⁣(∂F∂x),∂2F∂x ∂y=Fyx=∂∂x ⁣(∂F∂y).\frac{\partial^2F}{\partial x^2}=F_{xx}=\frac{\partial}{\partial x}\!\left(\frac{\partial F}{\partial x}\right), \quad \frac{\partial^2F}{\partial y^2}=F_{yy}, \quad \frac{\partial^2F}{\partial y\,\partial x}=F_{xy}=\frac{\partial}{\partial y}\!\left(\frac{\partial F}{\partial x}\right), \quad \frac{\partial^2F}{\partial x\,\partial y}=F_{yx}=\frac{\partial}{\partial x}\!\left(\frac{\partial F}{\partial y}\right).

    Higher (third and beyond) mixed partials continue the same pattern, one variable at a time, e.g. ∂3F∂y ∂x ∂y=∂∂y ⁣(∂2F∂x ∂y)\dfrac{\partial^3F}{\partial y\,\partial x\,\partial y}=\dfrac{\partial}{\partial y}\!\left(\dfrac{\partial^2F}{\partial x\,\partial y}\right). …
Figure 8.11Fig 8.11 Geometric meaning of the partial derivative w.r.t. y: the surface z=F(x,y) cut by the plane x=x0 gives the curve z=F(x0,y), whose tangent line at (x0,y0) has slope the partial derivative
Fig. 8.11 — Fig 8.11 Geometric meaning of the partial derivative w.r.t. y: the surface z=F(x,y) cut by the plane x=x0 gives the curve z=F(x0,y), whose tangent line at (x0,y0) has slope the partial derivative

Drawn by us to help you understand the concept clearly, and verified to make sure it's accurate. For exams, practice from your textbook's own diagram.

What this figure shows. Fig 8.11 Geometric meaning of the partial derivative w.r.t. y: the surface z=F(x,y) cut by the plane x=x0 gives the curve z=F(x0,y), whose tangent line at (x0,y0) has slope the …

Figure 8.12Fig 8.12 Geometric meaning of the partial derivative w.r.t. x: the surface z=F(x,y) cut by the plane y=y0 gives the curve z=F(x,y0), whose tangent line at (x0,y0) has slope the partial derivative
Fig. 8.12 — Fig 8.12 Geometric meaning of the partial derivative w.r.t. x: the surface z=F(x,y) cut by the plane y=y0 gives the curve z=F(x,y0), whose tangent line at (x0,y0) has slope the partial derivative

Drawn by us to help you understand the concept clearly, and verified to make sure it's accurate. For exams, practice from your textbook's own diagram.

What this figure shows. Fig 8.12 Geometric meaning of the partial derivative w.r.t. x: the surface z=F(x,y) cut by the plane y=y0 gives the curve z=F(x,y0), whose tangent line at (x0,y0) has slope the …