I Why Lagrange’s method of solving Pp + Qq=R works?

PLAGUE
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I am new to partial differential equations and today, I was introduced to Lagrange's method of solving PDE's. Someone please help me understand this method.
I am new to partial differential equations and today, I was introduced to Lagrange's method of solving PDE's.

Here, is a proof that shows how Lagrange's method works. I understand the proof until it says,

Substituting these values we get, k(Pp + Qq) = kR or Pp + Qq = R, which is the given equation (1). Therefore, if u(x, y, z) = c1 and v(x, y, z) = c2 are two independent solutions of the system of differential equations (dx)/P = (dy)/Q = (dz)/R, then Ф(u, v) = 0 is a solution of Pp + Qq = R, Ф being an arbitrary function.

I mean why should, "if u(x, y, z) = c1 and v(x, y, z) = c2 are two independent solutions of the system of differential equations (dx)/P = (dy)/Q = (dz)/R, then Ф(u, v) = 0 is a solution of Pp + Qq = R"?

I know we derived

Screenshot 2025-07-16 084941.webp


But what's the link between this and the solution? I don't see any, unfortunately!
 
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PLAGUE said:
TL;DR Summary: I am new to partial differential equations and today, I was introduced to Lagrange's method of solving PDE's. Someone please help me understand this method.

I am new to partial differential equations and today, I was introduced to Lagrange's method of solving PDE's.

Here, is a proof that shows how Lagrange's method works. I understand the proof until it says,



I mean why should, "if u(x, y, z) = c1 and v(x, y, z) = c2 are two independent solutions of the system of differential equations (dx)/P = (dy)/Q = (dz)/R, then Ф(u, v) = 0 is a solution of Pp + Qq = R"?

I know we derived

View attachment 363293

But what's the link between this and the solution? I don't see any, unfortunately!
Great question — this part often feels like a leap when you're first seeing it. Let me try to break it down in a way that connects the dots:

You're dealing with the linear first-order PDE:
\[
P(x, y, z)\frac{\partial z}{\partial x} + Q(x, y, z)\frac{\partial z}{\partial y} = R(x, y, z),
\]
which we write symbolically as:
\[
Pp + Qq = R,
\]
where \( p = \frac{\partial z}{\partial x} \) and \( q = \frac{\partial z}{\partial y} \).

---

\textbf{Step 1: Solve the \emph{Characteristic System}}

The idea of Lagrange’s method is to reduce the PDE into ordinary differential equations (ODEs) along curves called \emph{characteristics}:
\[
\frac{dx}{P} = \frac{dy}{Q} = \frac{dz}{R}.
\]
This system describes the "flow" in 3D space \((x, y, z)\) along which the solution surface evolves.

---

\textbf{Step 2: Find Two Independent Integrals of This System}

Let’s say you solve this system and find two functionally independent combinations:
\[
u(x, y, z) = c_1, \quad v(x, y, z) = c_2,
\]
which means: along every characteristic curve, the values of \( u \) and \( v \) remain constant.

These define surfaces in \((x,y,z)\)-space. But any arbitrary function
\[
\Phi(u, v) = 0
\]
defines a level surface built from combinations of \( u \) and \( v \), and that surface will also be constant along the same characteristic curves.

---

\textbf{Step 3: Why is \( \Phi(u,v) = 0 \) a Solution?}

Because if \( u \) and \( v \) are constant along the characteristics, then so is any function of them — meaning \( \Phi(u,v) \) stays constant too.

Taking \( \Phi(u(x,y,z), v(x,y,z)) = 0 \) and differentiating implicitly via the chain rule shows that this function satisfies the original PDE automatically because its total derivatives align with the directions defined by the characteristic equations.

Thus:
\[
Pp + Qq = R
\]
is satisfied by any implicit solution of the form
\[
\Phi(u,v) = 0.
\]

---

\textbf{Analogy:}

Think of the characteristics like streamlines in a fluid. If two "labels" \( u \) and \( v \) are constant along those streamlines, then any function of \( u \) and \( v \) will also be constant — and that gives you the general solution to the PDE.
 
Jirnyak said:
Great question — this part often feels like a leap when you're first seeing it. Let me try to break it down in a way that connects the dots:
Please read the LaTeX Guide at the lower left in order to format your post to properly display LaTeX code. However, do not use the Preview function because it's currently broken and will mangle your LaTeX.
 
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Likes member 666967
Jirnyak said:
Great question — this part often feels like a leap when you're first seeing it. Let me try to break it down in a way that connects the dots:

You're dealing with the linear first-order PDE:
\[
P(x, y, z)\frac{\partial z}{\partial x} + Q(x, y, z)\frac{\partial z}{\partial y} = R(x, y, z),
\]
which we write symbolically as:
\[
Pp + Qq = R,
\]
where \( p = \frac{\partial z}{\partial x} \) and \( q = \frac{\partial z}{\partial y} \).

---

\textbf{Step 1: Solve the \emph{Characteristic System}}

The idea of Lagrange’s method is to reduce the PDE into ordinary differential equations (ODEs) along curves called \emph{characteristics}:
\[
\frac{dx}{P} = \frac{dy}{Q} = \frac{dz}{R}.
\]
This system describes the "flow" in 3D space \((x, y, z)\) along which the solution surface evolves.

---

\textbf{Step 2: Find Two Independent Integrals of This System}

Let’s say you solve this system and find two functionally independent combinations:
\[
u(x, y, z) = c_1, \quad v(x, y, z) = c_2,
\]
which means: along every characteristic curve, the values of \( u \) and \( v \) remain constant.

These define surfaces in \((x,y,z)\)-space. But any arbitrary function
\[
\Phi(u, v) = 0
\]
defines a level surface built from combinations of \( u \) and \( v \), and that surface will also be constant along the same characteristic curves.

---

\textbf{Step 3: Why is \( \Phi(u,v) = 0 \) a Solution?}

Because if \( u \) and \( v \) are constant along the characteristics, then so is any function of them — meaning \( \Phi(u,v) \) stays constant too.

Taking \( \Phi(u(x,y,z), v(x,y,z)) = 0 \) and differentiating implicitly via the chain rule shows that this function satisfies the original PDE automatically because its total derivatives align with the directions defined by the characteristic equations.

Thus:
\[
Pp + Qq = R
\]
is satisfied by any implicit solution of the form
\[
\Phi(u,v) = 0.
\]

---

\textbf{Analogy:}

Think of the characteristics like streamlines in a fluid. If two "labels" \( u \) and \( v \) are constant along those streamlines, then any function of \( u \) and \( v \) will also be constant — and that gives you the general solution to the PDE.
Why along a characteristic curve dx/P = dy/Q = dz/R?
 
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