Metric Spaces: Contraction Mappings

Definition Let \(A\) be a mapping of a metric space \(R\) onto itself. Then \(x\) is a fixed point of \(A\) if \(Ax = x\). Suppose there exists \(\alpha < 1\) such that \(\rho(Ax, Ay)\) for all \(x, y \in R\), then \(A\) is a contraction mapping. Every contraction mapping is automatically continuous, since \(Ax_n \rightarrow AX\) whenever \(x_n \rightarrow x\).

Theorem 1 (Fixed point theorem)

Every contraction mapping \(A\) defined on a complete metric space \(R\) has a unique fixed point.


Keep contracting, i.e. applying \(A\).

Theorem 1’

Given a continuous mapping of a complete metric space \(R\) onto itself, suppose \(A^n\) is a contraction mapping (\(n\) an integer \(>1\)). Then \(A\) has a unique fixed point.

Let \(x = \lim_{x \rightarrow \infty} A^{kn} x_0\) and \(Ax = \lim_{k \rightarrow \infty} A A^{kn} x_0\).

Theorem 2 (Picard)

Given \(n\) functions \(f_i (x, y_1, \ldots, y_n)\) defined and continuous on an \((n+1)\)​-dimensional domain \(G\) containing the point \[(x_n, y_{01}, \ldots, y_{0n})\] suppose each \(f_i\) satisfies a Lipschitz condition of the form \[|f_i(x, y_1, \ldots, y_n) - f_i(x, \tilde{y}_1, \ldots, \tilde{y}_n)| \leq M \max_{1 \leq i \leq n} |y_i - \tilde{y}_i|\] in the variables \(y_1, \ldots, y_n\). Then there is an interval \(|x - x_i| \leq \delta\) in which the system of differential equations \[\frac{dy_i}{dx} = f_i (x, y_1, \ldots, y_n) \quad (i = 1, \ldots, n)\] has a unique solution \[y_1 = \phi_1(x), \ldots, y_n = \phi_n(x)\] satisfying the initial conditions \[\phi_1(x_0) = y_{01}, \ldots, \phi_n(x_0) = y_{0n}\]

The Fredholm equation (of the second kind) and Volterra equation are defined in the book.


  1. Let \(A\) be a mapping of a metric space \(R\) into itself. Prove the condition \[\rho(Ax, Ay) < \rho(x, y) \quad (x \neq y)\] is insufficient for the existence of a fixed point of f\(A\).

    Let \(R\) be \((0, 1)\) and \(A = \frac{1}{2}\), then fixed point would be \(0\), but \(0 \notin R\). Need \(R\) to be complete.

  2. Let \(F(x)\) be a continuously differentiable function on the interval \([a, b]\) such that \(F(a) < 0\), \(F(b)> 0\) and \[0 < K_1 \leq F^\prime(x) \leq K_2 (a \leq x \leq b)\] Use Theorem 1 to find the unique root of the equation \(F(x) = 0\)

    Hint. Introduce the auxiliary function \(f(x) = x - \lambda F(x)\), and choose \(\lambda\) such that the theorem works for the equivalent equation \(f(x) = x\).

    \[f(x) = x - \lambda F(x) \quad f^\prime(x) = 1 - \lambda F^\prime(x)\] Select λ so that \(|f^\prime(x)| = |1 - \lambda F^\prime(x)| < 1\), whenever \(\lambda F^\prime(x) < 1\) since \(F^\prime(x)\) is strictly positive. Can do this by setting $λ = \frac{1}{K_1 + K_2} since \[\lambda F^\prime(x) \leq K_2 = \frac{K_2}{K_1 + K_2} < 1\] By Theorem 1, \(f\) has a fixed point \(x_0 \in [a, b]\) such that \(f(x_0) = x_0\), which means \(\lambda F(x_0) = 0\), and \(x_0\) is the unique root of \(F(x) = 0\).

  3. Devise a proof of the implicit function theorem based on the use of the fixed point theorem.

    Don’t know what the implicit function theorem is. TODO.

  4. Prove that the method of successive approximations can be used to solve the system \[x_i = \sum_{j=1}^n a_{ij}x_j + b_i\] if \(|a_{ij}| < \frac{1}{n}\) (for all \(i\) and \(j\)), but not if \(|a_{ij}| = \frac{1}{n}\).


  5. Prove that the condition \(\sum_{j=1}^n|a_{ij}| \leq \alpha < 1\) is sufficient for the mapping \(y_i = \sum_{j=1}^n a_{ij}x_j + b_i\) to be a contraction mapping in the space \(R_0^n\).


  6. Prove that any of the \(n\)​-dimensional contraction mapping conditions imply \[\begin{vmatrix} a_{11}-1 & a_{12} & \cdots & a_{1n} \\ a_{21} & a_{22}-1 & \cdots & a_{2n} \\ \vdots & \vdots & \ddots & \vdots \\ a_{n1} & a_{n2} & \cdots & a_{nn}-1 \\ \end{vmatrix} \not= 0\]


  7. Consider the nonlinear integral equation \[f(x) = \lambda\int_a^b K(x, y; f(y)) dy + \psi(x)\] with continuous \(K\) and \(\psi\), where \(K\) satisfies a Lipschitz condition of the form \[|K(x, y; z_1) - K(x, y; z_2)| \leq M|z_1 - z_2|\] in its ‘functional’ argument. Prove that the equation has a unique solution for all \[|\lambda| < \dfrac{1}{M(b-a)}\] Write the successive approximations to this solution.

    Beats me. TODO.