TheoremComplete

The Implicit and Inverse Function Theorems

These fundamental theorems establish when a system of equations can be locally solved for some variables in terms of others, and when a multivariable function has a local inverse.


The Implicit Function Theorem

Theorem8.5Implicit Function Theorem

Let F:Rn+m→RmF : \mathbb{R}^{n+m} \to \mathbb{R}^m be continuously differentiable, and let (a,b)∈Rn×Rm(\mathbf{a}, \mathbf{b}) \in \mathbb{R}^n \times \mathbb{R}^m satisfy F(a,b)=0F(\mathbf{a}, \mathbf{b}) = \mathbf{0}. If the m×mm \times m matrix of partial derivatives ∂(F1,…,Fm)∂(y1,…,ym)(a,b)\frac{\partial(F_1, \ldots, F_m)}{\partial(y_1, \ldots, y_m)}(\mathbf{a}, \mathbf{b}) is invertible, then there exist open neighborhoods UU of a\mathbf{a} and VV of b\mathbf{b} and a unique C1C^1 function g:U→V\mathbf{g} : U \to V such that F(x,g(x))=0F(\mathbf{x}, \mathbf{g}(\mathbf{x})) = \mathbf{0} for all x∈U\mathbf{x} \in U. Moreover, the Jacobian of g\mathbf{g} is Jg=−(∂F∂y)−1∂F∂xJ_\mathbf{g} = -\left(\frac{\partial F}{\partial \mathbf{y}}\right)^{-1} \frac{\partial F}{\partial \mathbf{x}}

ExampleImplicit differentiation of a curve

For F(x,y)=x2+y2−1=0F(x, y) = x^2 + y^2 - 1 = 0 near (0,1)(0, 1): Fy=2y=2≠0F_y = 2y = 2 \neq 0 at (0,1)(0, 1), so yy can be written as y=g(x)=1−x2y = g(x) = \sqrt{1-x^2} locally, with g′(x)=−Fx/Fy=−x/yg'(x) = -F_x/F_y = -x/y.


The Inverse Function Theorem

Theorem8.6Inverse Function Theorem

Let f:Rn→Rn\mathbf{f} : \mathbb{R}^n \to \mathbb{R}^n be continuously differentiable in a neighborhood of a\mathbf{a}, and suppose the Jacobian matrix Jf(a)J_\mathbf{f}(\mathbf{a}) is invertible (equivalently, det⁡Jf(a)≠0\det J_\mathbf{f}(\mathbf{a}) \neq 0). Then there exists a neighborhood UU of a\mathbf{a} such that:

  1. f\mathbf{f} is a bijection from UU to f(U)\mathbf{f}(U)
  2. f(U)\mathbf{f}(U) is open
  3. The inverse f−1:f(U)→U\mathbf{f}^{-1} : \mathbf{f}(U) \to U is continuously differentiable
  4. Jf−1(f(a))=(Jf(a))−1J_{\mathbf{f}^{-1}}(\mathbf{f}(\mathbf{a})) = (J_\mathbf{f}(\mathbf{a}))^{-1}
ExamplePolar coordinate transformation

The map f(r,θ)=(rcos⁡θ,rsin⁡θ)\mathbf{f}(r, \theta) = (r\cos\theta, r\sin\theta) has Jacobian determinant rr. For r>0r > 0, the inverse function theorem guarantees a local inverse, confirming that polar coordinates provide a valid coordinate system away from the origin.


RemarkRelationship between the two theorems

The inverse function theorem and implicit function theorem are equivalent: each can be derived from the other. The implicit function theorem for F(x,y)=0F(\mathbf{x}, \mathbf{y}) = \mathbf{0} follows from applying the inverse function theorem to the map (x,y)↦(x,F(x,y))(\mathbf{x}, \mathbf{y}) \mapsto (\mathbf{x}, F(\mathbf{x}, \mathbf{y})). Both theorems are fundamentally about the local solvability of nonlinear systems.