• Theorem 10.5.1 The Chain Rule (I)
If z = f (x(t), y(t)), where x(t) and y(t) are differentiable and f (x, y) is a differentiable function of x and y, then
dz dt = d
dt[f (x(t), y(t))] = ∂f
∂x(x(t), y(t))dx dt +∂f
∂y(x(t), y(t))dy dt.
• Theorem 10.5.2 Chain Rule (II)
Suppose that z = f (x, y), where f is a differentiable function of x and y and where x = x(s, t) and y = y(s, t) both have first-order partial derivatives. Then we have the chain rules:
∂z
∂s = ∂z
∂x
∂x
∂s +∂z
∂y
∂y
∂s
∂z
∂t = ∂z
∂x
∂x
∂t +∂z
∂y
∂y
∂t.
• Theorem 10.7.2 Second Derivatives Test
Suppose that f (x, y) has continuous second-order partial derivatives in some open disk containing the point (a, b) and that fx(a, b) = fy(a, b) = 0. Define the discriminant D for the point (a, b) by
D(a, b) = fxx(a, b) fyy(a, b)− [ fxy(a, b)]2.
(1) If D(a, b) > 0 and fxx(a, b) > 0, then f has a local minimum at (a, b).
(2) If D(a, b) > 0 and fxx(a, b) < 0, then f has a local maximum at (a, b).
(3) If D(a, b) < 0, then f has a saddle point at (a, b).
(4) If D(a, b) = 0, then no conclusion can be drawn.
• Theorem 10.7.3 Extreme Value Theorem (I)
Suppose that f (x, y) is continuous on the closed and bounded region R ⊂ R2. Then f has both an absolute maximum and an absolute minimum on R.
Further, the absolute extrema must occur at either a critical point in R or on the boundary of R.
• Theorem 10.8.1 Method of Lagrange Multiplier
Suppose that f (x, y) and g(x, y) are functions with continuous first partial derivatives and ∇g(x, y) 6= 0 on the surface g(x, y) = 0. Suppose that either
(1) the minimum value of f (x, y) subject to the constraint g(x, y) = 0 occurs at (x0, y0); or
(2) the maximum value of f (x, y) subject to the constraint g(x, y) = 0 occurs at (x0, y0).
Then ∇f(x0, y0, z0) = λ∇g(x0, y0, z0) for some constant λ.
• Definition 11.8.1 Jacobian of a transformation
∂(x, y)
∂(u, v) =
¯¯¯¯
¯
∂x
∂u
∂x
∂v
∂y
∂u
∂y
∂u
¯¯¯¯
¯
• Theorem 11.8.1
Suppose that the region S in the uv-plane is mapped onto the region R in the xy-plane by the one-to-one transformation T defined by x = g(u, v) and y = h(u, v), where g and h have continuous first partial derivatives on S. If f is continuous on R and the Jacobian ∂(x, y)
∂(u, v) is nonzero on S, then
¨
R
f (x, y)dA =
¨
S
f (g(u, v), h(u, v))¯¯
¯¯∂(x, y)
∂(u, v)
¯¯¯¯dudv.