Mathematics / Differential Equations Canonical Reductions & Green's Functions 100% Free Open Access
Chapter 2 • Theory & Derivations

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:

$$P(x, y, z) \frac{\partial z}{\partial x} + Q(x, y, z) \frac{\partial z}{\partial y} = R(x, y, z)$$

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 $s \in [a, b]$:

$$\Gamma: \quad x = x_0(s), \quad y = y_0(s), \quad z = z_0(s)$$

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:

  1. $u(x, y)$ satisfies the PDE on $\Omega$: $P(x, y, u) u_x + Q(x, y, u) u_y = R(x, y, u)$.
  2. 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:

$$\begin{cases} \frac{\partial X}{\partial t}(s, t) = P(X(s, t), Y(s, t), Z(s, t)), & X(s, 0) = x_0(s) \\ \frac{\partial Y}{\partial t}(s, t) = Q(X(s, t), Y(s, t), Z(s, t)), & Y(s, 0) = y_0(s) \\ \frac{\partial Z}{\partial t}(s, t) = R(X(s, t), Y(s, t), Z(s, t)), & Z(s, 0) = z_0(s) \end{cases}$$

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 $s = s_0$:

$$J(s_0) = \left. \frac{\partial(X, Y)}{\partial(s, t)} \right|_{t=0} = x_0'(s_0) Q(x_0(s_0), y_0(s_0), z_0(s_0)) - y_0'(s_0) P(x_0(s_0), y_0(s_0), z_0(s_0)) \ne 0$$

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:

$$D\Phi(s, 0) = \begin{pmatrix} X_s(s, 0) & X_t(s, 0) \\ Y_s(s, 0) & Y_t(s, 0) \end{pmatrix} = \begin{pmatrix} x_0'(s) & P(x_0, y_0, z_0) \\ y_0'(s) & Q(x_0, y_0, z_0) \end{pmatrix}$$

Its determinant is precisely:

$$\det D\Phi(s_0, 0) = x_0'(s_0) Q(x_0, y_0, z_0) - y_0'(s_0) P(x_0, y_0, z_0) = J(s_0) \ne 0$$

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:

$$s = S(x, y), \qquad t = T(x, y)$$

Now define the candidate solution surface by:

$$u(x, y) = Z(S(x, y), T(x, y))$$

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 $t$:

$$Z_t = u_x X_t + u_y Y_t$$

Since $(X, Y, Z)$ are characteristic trajectories, $X_t = P, Y_t = Q, Z_t = R$:

$$R = u_x P + u_y Q \implies P u_x + Q u_y = R$$

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:

$$u_t + u u_x = 0, \qquad x \in \mathbb{R}, \quad t > 0$$

subject to initial profile $u(x, 0) = f(x)$.

The characteristic equations are:

$$\frac{dt}{d\tau} = 1, \qquad \frac{dx}{d\tau} = u, \qquad \frac{du}{d\tau} = 0$$

Along a characteristic trajectory issuing from $(x_0, 0)$:

  1. $u(x, t) = f(x_0)$ is constant along each characteristic.
  2. The characteristic curve is a straight line in the $(x, t)$ plane:
$$x(t) = x_0 + f(x_0) t$$

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 $x$:

$$u_x = f'(x - u t) \cdot (1 - u_x t) \implies u_x [1 + t f'(x - u t)] = f'(x - u t)$$

Solving for the spatial gradient $u_x$:

$$u_x(x, t) = \frac{f'(x_0)}{1 + t f'(x_0)}$$

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:

$$t_{\text{shock}} = \frac{1}{\max_{x_0 \in \mathbb{R}} (-f'(x_0))} = -\frac{1}{\min_{x_0} f'(x_0)} > 0$$

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:

$$\frac{ds}{dt} = \frac{[f(u)]}{[u]} = \frac{f(u_L) - f(u_R)}{u_L - u_R}$$

For Burgers' equation $f(u) = \frac{1}{2}u^2$:

$$\frac{ds}{dt} = \frac{\frac{1}{2}u_L^2 - \frac{1}{2}u_R^2}{u_L - u_R} = \frac{u_L + u_R}{2}$$

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:

$$Z - z_0 = p (X - x_0) + q (Y - y_0)$$

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:

$$Z - z_0 = p(t) (X - x_0) + q(t) (Y - y_0)$$

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 $t$:

$$p'(t) (X - x_0) + q'(t) (Y - y_0) = 0$$

Differentiating $F(x_0, y_0, z_0, p(t), q(t)) = 0$ with respect to $t$:

$$F_p p'(t) + F_q q'(t) = 0 \implies \frac{p'(t)}{q'(t)} = -\frac{F_q}{F_p}$$

Substituting this into the envelope equation:

$$- F_q (X - x_0) + F_p (Y - y_0) = 0 \implies \frac{X - x_0}{F_p} = \frac{Y - y_0}{F_q}$$

Along this generator, the increment $dZ$ on the tangent plane is:

$$dZ = p\,dX + q\,dY = p \lambda F_p + q \lambda F_q = \lambda (p F_p + q F_q)$$

Therefore, the direction ratios of the generator of the Monge cone are:

$$dx : dy : dz = F_p : F_q : (p F_p + q F_q)$$

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:

$$\Phi(x, y, z, p, q) = a$$

such that $F = 0$ and $\Phi = a$ are compatible: that is, solving them simultaneously for $p$ and $q$:

$$p = p(x, y, z, a), \qquad q = q(x, y, z, a)$$

makes the Pfaffian differential form:

$$dz = p\,dx + q\,dy \quad \iff \quad dz - p\,dx - q\,dy = 0$$

an exact (integrable) differential.

By Frobenius' integrability theorem, the integrability condition is:

$$\frac{\partial p}{\partial y} + q \frac{\partial p}{\partial z} = \frac{\partial q}{\partial x} + p \frac{\partial q}{\partial z}$$

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 $x, y$):

$$\begin{cases} F_x + F_z p + F_p \frac{\partial p}{\partial x} + F_q \frac{\partial q}{\partial x} = 0 \\ \Phi_x + \Phi_z p + \Phi_p \frac{\partial p}{\partial x} + \Phi_q \frac{\partial q}{\partial x} = 0 \end{cases}$$

Similarly differentiating with respect to $y$:

$$\begin{cases} F_y + F_z q + F_p \frac{\partial p}{\partial y} + F_q \frac{\partial q}{\partial y} = 0 \\ \Phi_y + \Phi_z q + \Phi_p \frac{\partial p}{\partial y} + \Phi_q \frac{\partial q}{\partial y} = 0 \end{cases}$$

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 $\Phi$:

$$-F_p \frac{\partial \Phi}{\partial x} - F_q \frac{\partial \Phi}{\partial y} - (p F_p + q F_q) \frac{\partial \Phi}{\partial z} + (F_x + p F_z) \frac{\partial \Phi}{\partial p} + (F_y + q F_z) \frac{\partial \Phi}{\partial q} = 0$$

Applying Lagrange's auxiliary ODE method to this equation gives Charpit's Auxiliary Equations:

Theorem 2.3 (Charpit's Auxiliary System):

$$\frac{dx}{-F_p} = \frac{dy}{-F_q} = \frac{dz}{-(p F_p + q F_q)} = \frac{dp}{F_x + p F_z} = \frac{dq}{F_y + q F_z} = \frac{d\Phi}{0}$$

or with signs reversed:

$$\frac{dx}{F_p} = \frac{dy}{F_q} = \frac{dz}{p F_p + q F_q} = \frac{dp}{-(F_x + p F_z)} = \frac{dq}{-(F_y + q F_z)}$$

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:

$$\frac{dp}{0} = \frac{dq}{0} \implies p = a \quad (\text{constant})$$

Substituting $p = a$ into $f(p, q) = 0$ gives $q = Q(a)$ (constant). Integrating $dz = p dx + q dy = a dx + Q(a) dy$:

$$z = a x + Q(a) y + b$$

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:

$$p = \frac{\partial z}{\partial x} = Z'(u), \qquad q = \frac{\partial z}{\partial y} = a Z'(u)$$

Substituting into $f(z, p, q) = 0$ yields an ODE for $Z(u)$:

$$f(z, Z', a Z') = 0 \implies \int \frac{dz}{Z'(z)} = x + a y + b$$
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 $a$:

$$f(x, p) = a \implies p = P(x, a)$$
$$g(y, q) = a \implies q = Q(y, a)$$

Integrating the total differential:

$$dz = P(x, a)\,dx + Q(y, a)\,dy \implies z = \int P(x, a)\,dx + \int Q(y, a)\,dy + b$$
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:

$$z = a x + b y + f(a, b)$$

Rigorous Tiered Solved Examination Problems

Step-by-step unskipped derivations, complete proofs, and verification across Foundational, Advanced, and Honors tiers.

Foundational Example 2.1: Charpit's Method for the Eikonal Unit-Slope Equation

Find the complete integral of the non-linear first-order partial differential equation:

$$p^2 + q^2 = 1$$

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:

$$F_x = 0, \quad F_y = 0, \quad F_z = 0, \quad F_p = 2p, \quad F_q = 2q$$

Charpit's auxiliary equations are:

$$\frac{dx}{F_p} = \frac{dy}{F_q} = \frac{dz}{p F_p + q F_q} = \frac{dp}{-(F_x + p F_z)} = \frac{dq}{-(F_y + q F_z)}$$

Substituting our derivatives:

$$\frac{dx}{2p} = \frac{dy}{2q} = \frac{dz}{2(p^2 + q^2)} = \frac{dp}{0} = \frac{dq}{0}$$

2. Finding a Compatible Integral

From $\frac{dp}{0}$, we immediately have:

$$dp = 0 \implies p = a \quad (\text{arbitrary constant})$$

Substitute $p = a$ into the original PDE $F = 0$:

$$a^2 + q^2 = 1 \implies q = \sqrt{1 - a^2}$$

(where $|a| \le 1$).


3. Integrating the Pfaffian Form

Now assemble the total differential $dz = p dx + q dy$:

$$dz = a\,dx + \sqrt{1 - a^2}\,dy$$

Integrating directly:

$$z = a x + \sqrt{1 - a^2}\,y + b$$

This 2-parameter family of planes is the complete integral.


4. Singular Solution

To check for a singular solution, eliminate $p$ and $q$ from:

$$F = p^2 + q^2 - 1 = 0, \qquad F_p = 2p = 0, \qquad F_q = 2q = 0$$

From $F_p = 0$ and $F_q = 0$, we have $p = 0, q = 0$. Substituting into $F$:

$$0^2 + 0^2 - 1 = -1 \ne 0$$

This is a contradiction! Therefore, no singular solution exists. $\blacksquare$

Advanced Example 2.2: Non-Linear Cauchy Problem on a Contact Strip

Solve the Cauchy problem for the non-linear first-order partial differential equation:

$$z = p x + q y + p^2 + q^2$$

subject to the initial data on the curve:

$$\Gamma: \quad x_0(s) = s, \quad y_0(s) = 0, \quad z_0(s) = s^2, \qquad s \in \mathbb{R}$$

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:

$$z = a x + b y + a^2 + b^2$$

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 $(s, 0, s^2)$:

$$z_0(s) = a x_0(s) + b y_0(s) + a^2 + b^2$$

Substitute $x_0 = s, y_0 = 0, z_0 = s^2$:

$$s^2 = a s + a^2 + b^2 \implies s^2 - a s - (a^2 + b^2) = 0$$

Along the characteristic curve, the strip condition requires tangency:

$$\frac{dz_0}{ds} = p_0 \frac{dx_0}{ds} + q_0 \frac{dy_0}{ds}$$

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:

$$2s = p_0(1) + q_0(0) \implies p_0 = 2s$$

From the complete integral, $p = a$, which means:

$$a = 2s \implies s = \frac{a}{2}$$

Substitute $s = a/2$ into the condition $s^2 = a s + a^2 + b^2$:

$$\left(\frac{a}{2}\right)^2 = a \left(\frac{a}{2}\right) + a^2 + b^2 \implies \frac{a^2}{4} = \frac{a^2}{2} + a^2 + b^2 = \frac{3a^2}{2} + b^2$$

Rearranging:

$$b^2 = \frac{a^2}{4} - \frac{6a^2}{4} = -\frac{5a^2}{4}$$

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:

$$\dot{x} = F_p = x + 2p$$
$$\dot{y} = F_q = y + 2q$$
$$\dot{z} = p F_p + q F_q = p(x + 2p) + q(y + 2q)$$
$$\dot{p} = -(F_x + p F_z) = -(p + p(-1)) = 0 \implies p(t) = p_0(s) = 2s$$
$$\dot{q} = -(F_y + q F_z) = -(q + q(-1)) = 0 \implies q(t) = q_0(s)$$

To find $q_0(s)$, substitute initial values into $F = 0$ at $t = 0$:

$$p_0 x_0 + q_0 y_0 + p_0^2 + q_0^2 - z_0 = 0$$
$$(2s)(s) + q_0(0) + (2s)^2 + q_0^2 - s^2 = 0$$
$$2s^2 + 4s^2 + q_0^2 - s^2 = 0 \implies 5s^2 + q_0^2 = 0$$

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 $F(x_0, y_0, z_0, p_0, q_0) = 0$. $\blacksquare$

Honors Challenge Example 2.3: Shock Formation Time in Inviscid Burgers Equation

Consider the inviscid Burgers equation:

$$\frac{\partial u}{\partial t} + u \frac{\partial u}{\partial x} = 0, \qquad x \in \mathbb{R}, \quad t > 0$$

subject to the smooth initial Cauchy data:

$$u(x, 0) = \frac{1}{1 + x^2}$$
  1. Find the exact breaking time $t_{\text{shock}}$ at which the first shock wave is formed.
  2. Determine the spatial coordinate $x_{\text{shock}}$ where the shock first appears.
  3. 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 $t = 0$:

$$u(x, t) = u(x_0, 0) = f(x_0) = \frac{1}{1 + x_0^2}$$

The characteristic line equation is:

$$x = x_0 + f(x_0) t = x_0 + \frac{t}{1 + x_0^2}$$

Differentiating with respect to $x$:

$$u_x(x, t) = \frac{f'(x_0)}{1 + t f'(x_0)}$$

A singularity in the spatial gradient occurs when the denominator vanishes:

$$1 + t f'(x_0) = 0 \implies t = -\frac{1}{f'(x_0)}$$

Since $t > 0$, shock formation requires $f'(x_0) < 0$. The earliest breaking time is:

$$t_{\text{shock}} = \min_{x_0 : f'(x_0) < 0} \left( -\frac{1}{f'(x_0)} \right) = \frac{1}{\max_{x_0} (-f'(x_0))}$$

2. Finding the Maximum Negative Slope of $f(x)$

The initial profile is $f(x) = (1 + x^2)^{-1}$. Its first derivative is:

$$f'(x) = -\frac{2x}{(1 + x^2)^2}$$

To find the minimum of $f'(x)$ (maximum of $-f'(x)$), differentiate again:

$$f''(x) = - \frac{2(1 + x^2)^2 - 2x \cdot 2(1 + x^2)(2x)}{(1 + x^2)^4} = - \frac{2(1 + x^2) - 8x^2}{(1 + x^2)^3} = - \frac{2 - 6x^2}{(1 + x^2)^3} = \frac{6x^2 - 2}{(1 + x^2)^3}$$

Setting $f''(x) = 0$:

$$6x^2 - 2 = 0 \implies x^2 = \frac{1}{3} \implies x = \pm \frac{1}{\sqrt{3}}$$

For $f'(x)$ to be negative, we need $x > 0$:

$$x_0^* = \frac{1}{\sqrt{3}}$$

Evaluate $f'(x_0^*)$:

$$1 + (x_0^*)^2 = 1 + \frac{1}{3} = \frac{4}{3}$$
$$f'(x_0^*) = - \frac{2 / \sqrt{3}}{(4/3)^2} = - \frac{2 / \sqrt{3}}{16 / 9} = - \frac{2 \cdot 9}{16 \sqrt{3}} = - \frac{18}{16\sqrt{3}} = - \frac{9}{8\sqrt{3}} = - \frac{3\sqrt{3}}{8}$$

Thus, the maximum negative slope is:

$$\max (-f'(x)) = \frac{3\sqrt{3}}{8}$$

Therefore, the shock formation time is:

$$t_{\text{shock}} = \frac{8}{3\sqrt{3}} = \frac{8\sqrt{3}}{9} \approx 1.5396\text{ s}$$

3. Spatial Location of First Shock Inception

At $t = t_{\text{shock}}$ and $x_0 = \frac{1}{\sqrt{3}}$:

$$x_{\text{shock}} = x_0^* + f(x_0^*) t_{\text{shock}}$$

We have:

$$f(x_0^*) = \frac{1}{1 + 1/3} = \frac{3}{4}$$

Therefore:

$$x_{\text{shock}} = \frac{1}{\sqrt{3}} + \left(\frac{3}{4}\right) \left( \frac{8}{3\sqrt{3}} \right) = \frac{1}{\sqrt{3}} + \frac{2}{\sqrt{3}} = \frac{3}{\sqrt{3}} = \sqrt{3} \approx 1.732$$

4. Gradient Divergence with Bounded Solution

As $t \to t_{\text{shock}}^-$ along the critical characteristic $x_0 = \frac{1}{\sqrt{3}}$:

$$1 + t f'(x_0^*) = 1 - t \frac{3\sqrt{3}}{8} \to 0^+$$

Hence:

$$u_x(x(t), t) = \frac{-3\sqrt{3}/8}{1 - t(3\sqrt{3}/8)} \to -\infty$$

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:

$$0 < u(x, t) \le 1 \quad \forall t \ge 0$$

The solution remains strictly bounded in the supremum norm $\|u(\cdot, t)\|_\infty \le 1$, but its derivative blows up: a classic gradient catastrophe. $\blacksquare$