Theorem The Mix Derivative

Theorem (Symmetry of Second Partial Derivative): If the function f:R2→Rf : R^2 \rightarrow R has continuous derivatives fxyf_{xy} and fyxf_{yx} at some point (a,b)(a, b), then

fxy(a,b)=fyx(a,b) f_{xy}(a, b) = f_{yx}(a, b)

Proof:

W.L.O.G, for h>0,k>0h > 0, k > 0, define

Δ=[f(a+h,b+k)−f(a+h,b)]−[f(a,b+h)−f(a,b)] \Delta = [f(a + h, b + k) - f(a + h, b)] - [f(a, b + h) - f(a, b)]

Define F(x)=f(x,b+k)−f(x,b)F(x) = f(x, b + k) - f(x, b), which is continuous and differentiable (since fxf_x exists on RR). By mean value theorem, ∃a1∈[a,a+h]\exists a_1 \in [a, a + h] for which

Δ=F(a+h)−F(a)=F′(a1)h=[fx(a1,b+k)−fx(a1,b)]h \Delta = F(a + h) - F(a) = F'(a_1) h = [f_x(a_1, b + k) - f_x(a_1, b)] h

Apply again mean value theorem, ∃b1∈[b,b+k]\exists b_1 \in [b, b + k], s.t.,

Δ=fxy(a1,b1)kh \begin{aligned} \Delta &= f_{xy}(a_1, b_1) k h \end{aligned}

We can also define G(y)=f(a+h,y)−f(a,y)G(y) = f(a + h, y) - f(a, y) and rewrite

Δ=G(b+h)−G(b) \Delta = G(b + h) - G(b)

Similarly, by applying mean value theorem twice, ∃b2∈[b,b+k],a2∈[a,a+h]\exists b_2 \in [b, b + k], a_2 \in [a, a + h], s.t,

Δ=fyx(a2,b2)hk \Delta = f_{yx}(a_2, b_2)hk

Putting together

Δ=fxy(a1,b1)kh=fyx(a2,b2)hk \Delta = f_{xy}(a_1, b_1) k h = f_{yx}(a_2, b_2)hk

Because both fxyf_{xy} and fyxf_{yx} are continuous, as h→0h \rightarrow 0 and k→0k \rightarrow 0, fxy(a1,b1)→fxy(a,b)f_{xy}(a_1, b_1) \rightarrow f_{xy}(a, b) and fyx(a2,b2)→fyx(a,b)f_{yx}(a_2, b_2) \rightarrow f_{yx}(a, b), as desired.

■\blacksquare.

Theorem The Increment

If function f:R2→Rf : R^2 \rightarrow R has continuous derivative fxf_x and fyf_y at some point (a,b)(a, b), then

f(a+h,b+k)−f(a,b)=fx(a,b)h+fy(a,b)k+ϵ1h+ϵ2k f(a + h, b + k) - f(a, b) = f_x(a, b) h + f_y(a, b)k + \epsilon_1 h + \epsilon_2 k

where ϵ1,ϵ2→0\epsilon_1, \epsilon_2 \rightarrow 0 as h,k→0h,k \rightarrow 0.

Proof:

By mean value theorem, ∃a1\exists a_1 between aa and a+ha + h, ∃b1\exists b_1 between bb and b+kb + k, s.t.,

f(a+h,b+k)−f(a,b)=f(a+h,b+k)−f(a+h,b)+f(a+h,b)−f(a,b)=fy(a+h,b1)k+fx(a1,b)h \begin{aligned} f(a + h, b + k) - f(a, b) &= f(a + h, b + k) - f(a + h, b) + f(a + h, b) - f(a, b) \\ &= f_y(a + h, b_1)k + f_x(a_1, b)h \end{aligned}

Define ϵ1=fx(a1,b)−fx(a,b)\epsilon_1 = f_x(a_1, b) - f_x(a, b) and ϵ2=fy(a+h,b1)−fy(a,b)\epsilon_2 = f_y(a + h, b_1) - f_y(a, b), we infer that

f(a+h,b+k)−f(a,b)=fx(a,b)h+fy(a,b)k+ϵ1h+ϵ2k f(a + h, b + k) - f(a, b) = f_x(a, b) h + f_y(a, b)k + \epsilon_1 h + \epsilon_2 k

The claim ϵ1,ϵ2→0\epsilon_1, \epsilon_2 \rightarrow 0 as h,k→0h,k \rightarrow 0 results from the continuity of fxf_x and fyf_y.

■\blacksquare.

Reference

  1. George B. Thomas, Jr., Maurice D. Weir, Joel Hass, THOMAS’ CALCULUS