Show that if $F$ and $G$ are first integrals of the characteristic system of $u_{t} + c(x,t,u)u_{x} = g(x,t,u)$ then $\Psi(F(x,t,u),G(x,t,u))=0$ defines the solution $u=u(x,t)$ of this equation. It seems like an easy exercise, but I don't know how to start - can anyone give me a hint? Thanks in advance!
2026-03-27 00:55:08.1774572908
Function of first integrals pde
55 Views Asked by Bumbble Comm https://math.techqa.club/user/bumbble-comm/detail At
1
There are 1 best solutions below
Related Questions in PARTIAL-DIFFERENTIAL-EQUATIONS
- PDE Separation of Variables Generality
- Partial Derivative vs Total Derivative: Function depending Implicitly and Explicitly on Variable
- Transition from theory of PDEs to applied analysis and industrial problems and models with PDEs
- Harmonic Functions are Analytic Evan’s Proof
- If $A$ generates the $C_0$-semigroup $\{T_t;t\ge0\}$, then $Au=f \Rightarrow u=-\int_0^\infty T_t f dt$?
- Regular surfaces with boundary and $C^1$ domains
- How might we express a second order PDE as a system of first order PDE's?
- Inhomogeneous biharmonic equation on $\mathbb{R}^d$
- PDE: Determine the region above the $x$-axis for which there is a classical solution.
- Division in differential equations when the dividing function is equal to $0$
Related Questions in CHARACTERISTICS
- Another attempt at solving a PDE with the method of characteristics
- Method of characteristics - solution doesn't seem consistent with original PDE
- Characteristic curve Partial Differential Equations
- $\left\{\begin{array}{lll} f_{t}+xf_{y}=0\\ f|_{t=0}=f_{0}(x,y) \end{array}\right.$
- Domain solutions on partial differential equations
- The meaning of non-characteristic boundary data for a PDE
- Solution of Burgers' equation
- Interpretation of graph of PDE
- Solving PDE using Lagrange method of characteristics
- How to take this exterior derivative of the expression $du - \sum_i p_i dx_i$?
Trending Questions
- Induction on the number of equations
- How to convince a math teacher of this simple and obvious fact?
- Find $E[XY|Y+Z=1 ]$
- Refuting the Anti-Cantor Cranks
- What are imaginary numbers?
- Determine the adjoint of $\tilde Q(x)$ for $\tilde Q(x)u:=(Qu)(x)$ where $Q:U→L^2(Ω,ℝ^d$ is a Hilbert-Schmidt operator and $U$ is a Hilbert space
- Why does this innovative method of subtraction from a third grader always work?
- How do we know that the number $1$ is not equal to the number $-1$?
- What are the Implications of having VΩ as a model for a theory?
- Defining a Galois Field based on primitive element versus polynomial?
- Can't find the relationship between two columns of numbers. Please Help
- Is computer science a branch of mathematics?
- Is there a bijection of $\mathbb{R}^n$ with itself such that the forward map is connected but the inverse is not?
- Identification of a quadrilateral as a trapezoid, rectangle, or square
- Generator of inertia group in function field extension
Popular # Hahtags
second-order-logic
numerical-methods
puzzle
logic
probability
number-theory
winding-number
real-analysis
integration
calculus
complex-analysis
sequences-and-series
proof-writing
set-theory
functions
homotopy-theory
elementary-number-theory
ordinary-differential-equations
circles
derivatives
game-theory
definite-integrals
elementary-set-theory
limits
multivariable-calculus
geometry
algebraic-number-theory
proof-verification
partial-derivative
algebra-precalculus
Popular Questions
- What is the integral of 1/x?
- How many squares actually ARE in this picture? Is this a trick question with no right answer?
- Is a matrix multiplied with its transpose something special?
- What is the difference between independent and mutually exclusive events?
- Visually stunning math concepts which are easy to explain
- taylor series of $\ln(1+x)$?
- How to tell if a set of vectors spans a space?
- Calculus question taking derivative to find horizontal tangent line
- How to determine if a function is one-to-one?
- Determine if vectors are linearly independent
- What does it mean to have a determinant equal to zero?
- Is this Batman equation for real?
- How to find perpendicular vector to another vector?
- How to find mean and median from histogram
- How many sides does a circle have?
$$0=\frac{\partial \Psi }{\partial x}=\frac{\partial \Psi }{\partial F}\cdot \left( \frac{\partial F}{\partial x}+\frac{\partial F}{\partial u}\cdot \frac{\partial u}{\partial x} \right)+\frac{\partial \Psi }{\partial G}\cdot \left( \frac{\partial G}{\partial x}+\frac{\partial G}{\partial u}\cdot \frac{\partial u}{\partial x} \right).$$
$$0=\frac{\partial \Psi }{\partial t}=\frac{\partial \Psi }{\partial F}\cdot \left( \frac{\partial F}{\partial t}+\frac{\partial F}{\partial u}\cdot \frac{\partial u}{\partial t} \right)+\frac{\partial \Psi }{\partial G}\cdot \left( \frac{\partial G}{\partial t}+\frac{\partial G}{\partial u}\cdot \frac{\partial u}{\partial t} \right).$$
$$\left[ \begin{matrix} \frac{\partial F}{\partial x}+\frac{\partial F}{\partial u}\cdot \frac{\partial u}{\partial x} & \frac{\partial G}{\partial x}+\frac{\partial G}{\partial u}\cdot \frac{\partial u}{\partial x} \\ \frac{\partial F}{\partial t}+\frac{\partial F}{\partial u}\cdot \frac{\partial u}{\partial t} & \frac{\partial G}{\partial t}+\frac{\partial G}{\partial u}\cdot \frac{\partial u}{\partial t} \\ \end{matrix} \right]\left[ \begin{matrix} \frac{\partial \Psi }{\partial F} \\ \frac{\partial \Psi }{\partial G} \\ \end{matrix} \right]=0\text{ }.$$
Since $\frac{\partial \Psi }{\partial F}$ and $\frac{\partial \Psi }{\partial G}$ do not vanish, from Cramer’s rule we know
$$\Delta = \left| {\begin{array}{*{20}{c}}{\frac{{\partial F}}{{\partial x}} + \frac{{\partial F}}{{\partial u}} \cdot \frac{{\partial u}}{{\partial x}}}&{\frac{{\partial G}}{{\partial x}} + \frac{{\partial G}}{{\partial u}} \cdot \frac{{\partial u}}{{\partial x}}}\\{\frac{{\partial F}}{{\partial t}} + \frac{{\partial F}}{{\partial u}} \cdot \frac{{\partial u}}{{\partial t}}}&{\frac{{\partial G}}{{\partial t}} + \frac{{\partial G}}{{\partial u}} \cdot \frac{{\partial u}}{{\partial t}}}\end{array}} \right| = 0{\rm{ }}.$$
$$\left( \frac{\partial F}{\partial x}+\frac{\partial F}{\partial u}\cdot \frac{\partial u}{\partial x} \right)\left( \frac{\partial G}{\partial t}+\frac{\partial G}{\partial u}\cdot \frac{\partial u}{\partial t} \right)-\left( \frac{\partial G}{\partial x}+\frac{\partial G}{\partial u}\cdot \frac{\partial u}{\partial x} \right)\left( \frac{\partial F}{\partial t}+\frac{\partial F}{\partial u}\cdot \frac{\partial u}{\partial t} \right)=0\text{ }.$$
$$\left( {\frac{{\partial G}}{{\partial x}}\frac{{\partial F}}{{\partial u}} - \frac{{\partial F}}{{\partial x}}\frac{{\partial G}}{{\partial u}}} \right)\frac{{\partial u}}{{\partial t}} + {\rm{ }}\left( {\frac{{\partial F}}{{\partial t}}\frac{{\partial G}}{{\partial u}} - \frac{{\partial F}}{{\partial u}}\frac{{\partial G}}{{\partial t}}} \right)\frac{{\partial u}}{{\partial x}} = \left( {\frac{{\partial F}}{{\partial x}}\frac{{\partial G}}{{\partial t}} - \frac{{\partial F}}{{\partial t}}\frac{{\partial G}}{{\partial x}}} \right).$$
$${u_t} + c\left( {x,t,u} \right){u_x} = g\left( {x,t,u} \right){\rm{ }}.$$