6.9. THE DERIVATIVE AND THE CARTESIAN PRODUCT 155

Definition 6.9.3 Let g : U ⊆∏ni=1 Xi→ Y , where U is an open set. Then the map

z→ g (x1, · · · ,xi−1,z,xi+1, · · · ,xn)

is a function from the open set in Xi,

{z : x= (x1, · · · ,xi−1,z,xi+1, · · · ,xn) ∈U}

to Y . When this map is differentiable, its derivative is denoted by Dig (x). To aid in thenotation, for v ∈ Xi, let θ iv ∈∏

ni=1 Xi be the vector (0, · · · ,v, · · · ,0) where the v is in the

ith slot and for v ∈∏ni=1 Xi, let vi denote the entry in the ith slot of v. Thus, by saying

z→ g (x1, · · · ,xi−1,z,xi+1, · · · ,xn)

is differentiable is meant that for v ∈ Xi sufficiently small,

g (x+θ iv)−g (x) = Dig (x)v+o(v) .

Note Dig (x) ∈L (Xi,Y ) .

As discussed above, we have the following definition of C1 (U) .

Definition 6.9.4 Let U ⊆ X be an open set. Then f : U →Y is C1 (U) if f is differ-entiable and the mapping x→ Df (x) , is continuous as a function from U to L (X ,Y ).

With this definition of partial derivatives, here is the major theorem. Note the resem-blance with the matrix of the derivative of a function having values in Rm in terms of thepartial derivatives.

Theorem 6.9.5 Let g,U,∏ni=1 Xi, be given as in Definition 6.9.3. Then g is C1 (U)

if and only if Dig exists and is continuous on U for each i. In this case, g is differentiableand

Dg (x)(v) = ∑k

Dkg (x)vk (6.14)

where v = (v1, · · · ,vn) .

Proof: Suppose then that Dig exists and is continuous for each i. Note ∑kj=1 θ jv j =

(v1, · · · ,vk,0, · · · ,0) . Thus ∑nj=1 θ jv j = v and define ∑

0j=1 θ jv j ≡ 0. Therefore,

g (x+v)−g (x) =n

∑k=1

[g

(x+

k

∑j=1

θ jv j

)−g

(x+

k−1

∑j=1

θ jv j

)](6.15)

=n

∑k=1

[(g

(x+

k

∑j=1

θ jv j

)−g (x+θ kvk)

)−

(g

(x+

k−1

∑j=1

θ jv j

)−g (x)

)]

+n

∑k=1

(g (x+θ kvk)−g (x))

If hk (x) ≡ g(x+∑

k−1j=1 θ jv j

)− g (x) then the top sum is ∑

nk=1hk (x+θ kvk)−hk (x)

and from the definition of hk, ∥Dhk (x)∥ < ε a sufficiently small ball containing x. Thus

6.9. THE DERIVATIVE AND THE CARTESIAN PRODUCT 155Definition 6.9.3 Ler g:U CJ], Xi > Y, where U is an open set. Then the mapZI GQ(H1,°°* ,Vi-1, 2%, Vip 4,°°* Ln)is a function from the open set in Xj,{Z:@ = (%1,°°+ ,@i-1,2,%j44,°°* Ln) CU}to Y. When this map is differentiable, its derivative is denoted by Djg (a). To aid in thenotation, for v € X;, let O;v € []_, X; be the vector (0,--- ,v,--- ,0) where the v is in thei” slot and for v € Th Xi, let vj denote the entry in the i” slot of v. Thus, by sayingZI Q(@1,°°+ , Li-1, 2, Ljny,°°+ Ln)is differentiable is meant that for v © X; sufficiently small,g (a+ Ov) —g (x) = Dig (x) v+o(v).Note Dig (x) € £ (X,Y).As discussed above, we have the following definition of C! (U).Definition 6.9.4 LerU CX be an open set. Then f :U -Y is C!(U) if f is differ-entiable and the mapping x + Df (a), is continuous as a function from U to £ (X,Y).With this definition of partial derivatives, here is the major theorem. Note the resem-blance with the matrix of the derivative of a function having values in R” in terms of thepartial derivatives.Theorem 6.9.5 Lez g, U, JI, Xi, be given as in Definition 6.9.3. Then g is C! (U)if and only if Dig exists and is continuous on U for each i. In this case, g is differentiableandv)= yi Dig (a) Ux (6.14)kwhere v = (V1,°°*,Un)-Proof: Suppose then that Djg exists and is continuous for each i. Note Yee 0jvj =(v1,-++ , Ux, 0,--- ,0). Thus Yi) 8jv; = v and define yo 0 ;v; = 0. Therefore,g(a@+v)— =) |e (++ £90) -a(2+Lom)| (6.15)alot) ms) enYio (w+6,v%) — 9 (@))If hy (x) =g (@+E' | 6;) — g(a) then the top sum is )7_, hy (a+ O;u,) — hy (x)and from the definition of hx, ||Dh, (ax)|| < € a sufficiently small ball containing 2. Thus