Unit 2: The Cauchy Problem, Method of Characteristics & Non-Linear First-Order PDEs
Advanced theory of first-order PDEs: the Cauchy problem and local existence-uniqueness theorems, characteristic strips in contact space, shock wave formation in quasilinear conservation laws and the Rankine-Hugoniot condition, Monge cones and contact elements, Charpit's method for fully non-linear equations F(x, y, z, p, q) = 0, and the four classical standard forms.
§2.1 The Cauchy Problem for Quasilinear Equations & Local Existence-Uniqueness
1. Rigorous Formulation of the Cauchy Problem
Consider the quasilinear partial differential equation:
on an open domain $\Omega \subseteq \mathbb{R}^2$. Let $\Gamma \subset \mathbb{R}^3$ be a simple regular $C^1$ space curve parametrized by arc parameter $s \in [a, b]$:
The Cauchy problem consists in determining a $C^1$ surface $z = u(x, y)$ defined on a neighborhood of the projection curve $\gamma_0 = (x_0(s), y_0(s))$ such that:
- $u(x, y)$ satisfies the PDE on $\Omega$: $P(x, y, u) u_x + Q(x, y, u) u_y = R(x, y, u)$.
- The surface contains $\Gamma$: $u(x_0(s), y_0(s)) = z_0(s)$ for all $s \in [a, b]$.
2. Characteristic System and Coordinate Transformation
To solve the Cauchy problem, we construct the characteristic curves emanating from each point of $\Gamma$. For each fixed $s$, consider the initial value problem for the autonomous ODE system:
By the Picard-Lindelöf theorem for ODEs, since $P, Q, R$ are $C^1$, this system possesses a unique local solution $(X(s, t), Y(s, t), Z(s, t))$ defined for $(s, t) \in [a, b] \times (-\delta, \delta)$.
3. The Local Existence and Uniqueness Theorem
Theorem 2.1 (Cauchy-Kovalevskaya Local Existence for Quasilinear First-Order PDEs): Let $P, Q, R \in C^1(\mathbb{R}^3)$ and let $\Gamma = (x_0(s), y_0(s), z_0(s))$ be a $C^1$ curve. Suppose that at $s = s_0$:
Then there exists an open neighborhood $U$ of $(x_0(s_0), y_0(s_0))$ in $\mathbb{R}^2$ containing a unique $C^1$ function $z = u(x, y)$ solving the Cauchy problem.
Proof: Consider the planar mapping $\Phi: (s, t) \mapsto (X(s, t), Y(s, t))$. At $t = 0$, the Jacobian matrix of $\Phi$ is:
Its determinant is precisely:
By the Inverse Function Theorem, $\Phi$ is a local $C^1$-diffeomorphism from an open neighborhood $V$ of $(s_0, 0)$ onto an open neighborhood $U$ of $(x_0(s_0), y_0(s_0))$. Thus, we can invert the mapping smoothly:
Now define the candidate solution surface by:
Along the initial curve ($t = 0$), $u(x_0(s), y_0(s)) = Z(s, 0) = z_0(s)$, satisfying the initial condition. To verify that $u$ satisfies the PDE, differentiate $Z(s, t) = u(X(s, t), Y(s, t))$ with respect to $t$:
Since $(X, Y, Z)$ are characteristic trajectories, $X_t = P, Y_t = Q, Z_t = R$:
Hence, $u(x, y)$ is a genuine $C^1$ solution. Uniqueness follows because any integral surface containing $\Gamma$ must contain all characteristic curves issuing from $\Gamma$. $\blacksquare$
§2.2 Characteristic Curves, Characteristic Strips & Shock Waves
1. Wave Steepening in Nonlinear Conservation Laws
Consider the inviscid Burgers equation, the prototype for nonlinear wave propagation and gas dynamics:
subject to initial profile $u(x, 0) = f(x)$.
The characteristic equations are:
Along a characteristic trajectory issuing from $(x_0, 0)$:
- $u(x, t) = f(x_0)$ is constant along each characteristic.
- The characteristic curve is a straight line in the $(x, t)$ plane:
Thus, points with higher values of $u$ travel with greater speed $c = u$.
2. Gradient Catastrophe and Shock Formation Time
Differentiating the implicit relation $u = f(x - u t)$ with respect to $x$:
Solving for the spatial gradient $u_x$:
Theorem 2.2 (Gradient Catastrophe / Breaking Time): If $f'(x_0) \ge 0$ for all $x_0 \in \mathbb{R}$ (rarefaction / expansion profile), characteristics diverge forward in time and the classical $C^1$ solution exists for all $t > 0$. If there exists any point $x_0$ where $f'(x_0) < 0$ (compressive profile), the denominator vanishes at a finite time. The earliest such time, called the breaking time (or shock formation time), is given by:
At $t = t_{\text{shock}}$, the gradient $u_x \to -\infty$, characteristics intersect, and the single-valued classical solution ceases to exist.
3. Weak Solutions and the Rankine-Hugoniot Condition
Beyond $t > t_{\text{shock}}$, physics dictates the formation of a shock wave: a propagating jump discontinuity across a curve $x = s(t)$.
Definition 2.1 (Rankine-Hugoniot Jump Condition): For a scalar conservation law $u_t + (f(u))_x = 0$, the propagation speed $\dot{s}(t) = \frac{ds}{dt}$ of a discontinuity separating state $u_L$ on the left and $u_R$ on the right satisfies:
For Burgers' equation $f(u) = \frac{1}{2}u^2$:
The shock speed is the arithmetic mean of the states immediately to its left and right.
§2.3 Non-Linear First-Order Equations: Contact Elements and Monge Cones
1. Contact Elements and the Geometry of Solution Surfaces
Let $F(x, y, z, p, q) = 0$ be a general non-linear first-order PDE. At any point $P_0(x_0, y_0, z_0)$, a planar element through $P_0$ is defined by:
The set $(x_0, y_0, z_0, p, q)$ is called a contact element or tangent element. For a fixed point $(x_0, y_0, z_0)$, the PDE $F(x_0, y_0, z_0, p, q) = 0$ is a relation between $p$ and $q$. Thus, at each point, there is not a single tangent plane (as in linear PDEs), but a one-parameter family of tangent planes:
where $F(x_0, y_0, z_0, p(t), q(t)) = 0$.
2. The Monge Cone
Definition 2.2 (Monge Cone): The envelope of this one-parameter family of tangent planes passing through $(x_0, y_0, z_0)$ is a cone with vertex at $(x_0, y_0, z_0)$, known as the Monge cone. Every integral surface $z = u(x, y)$ passing through $(x_0, y_0, z_0)$ must have a tangent plane that belongs to this family; consequently, the integral surface must be tangent to the Monge cone along a straight-line generator!
To determine the generators of the Monge cone, differentiate the tangent plane equation with respect to parameter $t$:
Differentiating $F(x_0, y_0, z_0, p(t), q(t)) = 0$ with respect to $t$:
Substituting this into the envelope equation:
Along this generator, the increment $dZ$ on the tangent plane is:
Therefore, the direction ratios of the generator of the Monge cone are:
This direction is the characteristic direction for non-linear equations.
§2.4 Charpit's Method for General Non-Linear PDEs F(x, y, z, p, q) = 0
1. Compatibility and Charpit's Auxiliary Equations
Paul Charpit (1784) established the universal method for finding a complete integral of an arbitrary non-linear PDE $F(x, y, z, p, q) = 0$. The foundational strategy is to seek a second relation:
such that $F = 0$ and $\Phi = a$ are compatible: that is, solving them simultaneously for $p$ and $q$:
makes the Pfaffian differential form:
an exact (integrable) differential.
By Frobenius' integrability theorem, the integrability condition is:
2. Complete Derivation of Charpit's System
Differentiating both $F(x, y, z, p, q) = 0$ and $\Phi(x, y, z, p, q) = a$ with respect to $x$ (treating $z$ as depending on $x, y$):
Similarly differentiating with respect to $y$:
Eliminating the mixed second derivatives $\frac{\partial p}{\partial x}, \frac{\partial q}{\partial x}, \frac{\partial p}{\partial y}, \frac{\partial q}{\partial y}$ using $\frac{\partial p}{\partial y} = \frac{\partial q}{\partial x}$ leads to the linear first-order PDE for $\Phi$:
Applying Lagrange's auxiliary ODE method to this equation gives Charpit's Auxiliary Equations:
Theorem 2.3 (Charpit's Auxiliary System):
or with signs reversed:
Any non-trivial first integral $\Phi(x, y, z, p, q) = a$ obtained from this system provides the compatible relation. Solving for $p$ and $q$ and integrating $dz = p dx + q dy$ yields the complete integral with two arbitrary constants $a$ and $b$.
§2.5 Special Standard Forms of Non-Linear PDEs
1. The Four Classical Standard Forms
When the non-linear equation $F(x, y, z, p, q) = 0$ lacks certain variables, Charpit's system simplifies drastically into four canonical forms:
Standard Form I: Equations Involving Only $p$ and $q$ ($f(p, q) = 0$)
Here $F_x = F_y = F_z = 0$. Charpit's equations give:
Substituting $p = a$ into $f(p, q) = 0$ gives $q = Q(a)$ (constant). Integrating $dz = p dx + q dy = a dx + Q(a) dy$:
This is the complete integral, representing a family of planes.
Standard Form II: Equations Not Involving $x$ and $y$ ($f(z, p, q) = 0$)
Here $F_x = F_y = 0$. Charpit's system gives $\frac{dp}{p F_z} = \frac{dq}{q F_z} \implies \frac{dp}{p} = \frac{dq}{q} \implies q = a p$. Assume $z = Z(u)$ where $u = x + a y$. Then:
Substituting into $f(z, p, q) = 0$ yields an ODE for $Z(u)$:
Standard Form III: Separable Equations ($f(x, p) = g(y, q)$)
Here $x$ and $p$ can be separated from $y$ and $q$. Set each side equal to an arbitrary constant $a$:
Integrating the total differential:
Standard Form IV: Clairaut's Equation ($z = p x + q y + f(p, q)$)
As established in Unit 1, setting $p = a$ and $q = b$ directly yields the complete integral:
Rigorous Tiered Solved Examination Problems
Step-by-step unskipped derivations, complete proofs, and verification across Foundational, Advanced, and Honors tiers.
Find the complete integral of the non-linear first-order partial differential equation:
using Charpit's auxiliary equations, and determine its singular solution.
1. Formulating Charpit's Equations
Let $F(x, y, z, p, q) = p^2 + q^2 - 1 = 0$. The partial derivatives of $F$ are:
Charpit's auxiliary equations are:
Substituting our derivatives:
2. Finding a Compatible Integral
From $\frac{dp}{0}$, we immediately have:
Substitute $p = a$ into the original PDE $F = 0$:
(where $|a| \le 1$).
3. Integrating the Pfaffian Form
Now assemble the total differential $dz = p dx + q dy$:
Integrating directly:
This 2-parameter family of planes is the complete integral.
4. Singular Solution
To check for a singular solution, eliminate $p$ and $q$ from:
From $F_p = 0$ and $F_q = 0$, we have $p = 0, q = 0$. Substituting into $F$:
This is a contradiction! Therefore, no singular solution exists. $\blacksquare$
Solve the Cauchy problem for the non-linear first-order partial differential equation:
subject to the initial data on the curve:
1. Complete Integral
The equation is of Clairaut form $z = p x + q y + f(p, q)$ where $f(p, q) = p^2 + q^2$. The complete integral is:
where $a$ and $b$ are arbitrary constants.
2. Envelope of the Complete Integral Restricted to $\Gamma$
To find the integral surface containing $\Gamma$, we establish an arbitrary relationship $b = \phi(a)$ such that the surface contains each point $(s, 0, s^2)$:
Substitute $x_0 = s, y_0 = 0, z_0 = s^2$:
Along the characteristic curve, the strip condition requires tangency:
Since $x_0 = s, y_0 = 0, z_0 = s^2$, we have $x_0'(s) = 1, y_0'(s) = 0, z_0'(s) = 2s$. Thus:
From the complete integral, $p = a$, which means:
Substitute $s = a/2$ into the condition $s^2 = a s + a^2 + b^2$:
Rearranging:
For real solutions, this forces $a = 0, b = 0$, which yields only the point $(0,0,0)$.
3. Alternative Method via Characteristic Strips
Let us construct the characteristic strip $(x(t), y(t), z(t), p(t), q(t))$ directly using Charpit's ODEs: Here $F(x, y, z, p, q) = p x + q y + p^2 + q^2 - z = 0$. The characteristic equations are:
To find $q_0(s)$, substitute initial values into $F = 0$ at $t = 0$:
For real $(x, y, z, p, q)$, $5s^2 + q_0^2 = 0$ forces $s = 0$ and $q_0 = 0$. Thus, the strip condition has no real solution for $s \ne 0$ because the curve $\Gamma$ lies outside the region of real contact elements for this PDE. In the complex plane, $q_0 = \pm i \sqrt{5} s$, leading to complex integral surfaces. This demonstrates an essential property of non-linear Cauchy problems: a real solution exists if and only if the initial data strip admits real contact elements $F(x_0, y_0, z_0, p_0, q_0) = 0$. $\blacksquare$
Consider the inviscid Burgers equation:
subject to the smooth initial Cauchy data:
- Find the exact breaking time $t_{\text{shock}}$ at which the first shock wave is formed.
- Determine the spatial coordinate $x_{\text{shock}}$ where the shock first appears.
- Rigorously prove that $u_x \to -\infty$ as $t \to t_{\text{shock}}^-$, while the solution remains bounded.
1. Calculation of the Breaking Time
Along the characteristic curve issuing from $x_0 \in \mathbb{R}$ at $t = 0$:
The characteristic line equation is:
Differentiating with respect to $x$:
A singularity in the spatial gradient occurs when the denominator vanishes:
Since $t > 0$, shock formation requires $f'(x_0) < 0$. The earliest breaking time is:
2. Finding the Maximum Negative Slope of $f(x)$
The initial profile is $f(x) = (1 + x^2)^{-1}$. Its first derivative is:
To find the minimum of $f'(x)$ (maximum of $-f'(x)$), differentiate again:
Setting $f''(x) = 0$:
For $f'(x)$ to be negative, we need $x > 0$:
Evaluate $f'(x_0^*)$:
Thus, the maximum negative slope is:
Therefore, the shock formation time is:
3. Spatial Location of First Shock Inception
At $t = t_{\text{shock}}$ and $x_0 = \frac{1}{\sqrt{3}}$:
We have:
Therefore:
4. Gradient Divergence with Bounded Solution
As $t \to t_{\text{shock}}^-$ along the critical characteristic $x_0 = \frac{1}{\sqrt{3}}$:
Hence:
However, along every characteristic, $u(x, t) = f(x_0) = \frac{1}{1 + x_0^2}$. Since $0 < f(x_0) \le 1$ for all $x_0 \in \mathbb{R}$, we have:
The solution remains strictly bounded in the supremum norm $\|u(\cdot, t)\|_\infty \le 1$, but its derivative blows up: a classic gradient catastrophe. $\blacksquare$