PDE 2Ux + 3Uy + U = 0 with change of variables V(x,y)=ln[U(x,y)]

In summary: In this particular PDE, it is assumed that U is not negative because of the natural log function. The natural log function is only defined for positive inputs, so that is why we can assume U is non-negative in this case. However, in general, it is important to consider all possible values for U, including negative values, and determine if they are valid solutions.2) In this case, it is a fortunate coincidence that setting V(x,y)=f(x) works. This method may not always work for finding particular solutions to linear non-homogeneous first order PDEs. In those cases, you may need to use a more advanced technique or make a more educated guess for the particular solution.3) Yes,
  • #1
kingwinner
1,270
0
[note: Ux=∂U/∂x, Uy=∂U/∂y]

Example: Solve the partial differential equation 2Ux + 3Uy + U = 0 by using the change of variables V(x,y)=ln[U(x,y)]

Solution:
Vx = Ux/U
Vy = Uy/U

2Ux + 3Uy + U = 0
Dividing both sides by U, we have
2Ux/U + 3Uy/U + 1 = 0
=> 2Vx + 3Vy +1 = 0
=> 2Vx + 3Vy = -1

The corresponding homogeneous equation has the general solution V = f(3x-2y) where f is arbitrary function.

2Vx + 3Vy = -1
Set V(x,y)=f(x)
=> 2f ' + 0 = -1
=> f ' = -1/2
=> f= -x/2 + C
=> f= -x/2 (take C=0)
Therefore, a particular solution to 2Vx + 3Vy = -1 is V = -x/2

So the general solution to 2Vx + 3Vy = -1 is V = -x/2 + f(3x-2y)
=> the general solution to the original PDE is U = exp(-x/2) exp[f(3x-2y)] = exp(-x/2) g(3x-2y)

===============================
Now, I don't understand the parts in red:

1) In the solution, they divided both sides by U. Why is this always allowed? How do we know that U is not 0?

2) For the part of finding a particular solution to 2Vx + 3Vy = -1, they first set V(x,y)=f(x). What is the logic behind this step? Why would this lead us to a particular solution? I just don't get the idea.

3) At the end, they claimed that the general solution to the original PDE is
U = exp(-x/2) exp[f(3x-2y)]
i.e. U= exp(-x/2) g(3x-2y) (final answer)
I don't understand why exp[f(3x-2y)] can be replaced by g(3x-2y). Why do we have to do that? Is g here an arbitrary function?

Could someone please kindly explain? Any help is greatly appreciated!:smile:
 
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  • #2
kingwinner said:
[note: Ux=∂U/∂x, Uy=∂U/∂y]

Example: Solve the partial differential equation 2Ux + 3Uy + U = 0 by using the change of variables V(x,y)=ln[U(x,y)]

Solution:
Vx = Ux/U
Vy = Uy/U

2Ux + 3Uy + U = 0
Dividing both sides by U, we have
2Ux/U + 3Uy/U + 1 = 0
=> 2Vx + 3Vy +1 = 0
=> 2Vx + 3Vy = -1

The corresponding homogeneous equation has the general solution V = f(3x-2y) where f is arbitrary function.

2Vx + 3Vy = -1
Set V(x,y)=f(x)
=> 2f ' + 0 = -1
=> f ' = -1/2
=> f= -x/2 + C
=> f= -x/2 (take C=0)
Therefore, a particular solution to 2Vx + 3Vy = -1 is V = -x/2

So the general solution to 2Vx + 3Vy = -1 is V = -x/2 + f(3x-2y)
=> the general solution to the original PDE is U = exp(-x/2) exp[f(3x-2y)] = exp(-x/2) g(3x-2y)

===============================
Now, I don't understand the parts in red:

1) In the solution, they divided both sides by U. Why is this always allowed? How do we know that U is not 0?

2) For the part of finding a particular solution to 2Vx + 3Vy = -1, they first set V(x,y)=f(x). What is the logic behind this step? Why would this lead us to a particular solution? I just don't get the idea.

3) At the end, they claimed that the general solution to the original PDE is
U = exp(-x/2) exp[f(3x-2y)]
i.e. U= exp(-x/2) g(3x-2y) (final answer)
I don't understand why exp[f(3x-2y)] can be replaced by g(3x-2y). Why do we have to do that? Is g here an arbitrary function?

Could someone please kindly explain? Any help is greatly appreciated!:smile:

Regarding dividing by U, you have already assumed U not zero when you made the substitution V(x,y)=ln[U(x,y)]. This means your method may miss a possible solution U = 0. This is, in fact, a solution although likely uninteresting.

On setting V(x,y) = f(x), you are looking for any particular solution on the nonhomogeneous equation. So you are trying to see if perchance a pure function of x works. Luckily, it does.
You can check that V = -x/2 works.

As to why exp(-x/2) exp[f(3x-2y)] = exp(-x/2) g(3x-2y), you are just observing that if f can be anything, so can exp(f). g can't be completely arbitrary; it would have to be positive. But you can get any such g by taking f = ln(g).

In the end, sometimes although your steps rule out, for example, g being negative, it may turn out that in the equation itself it may be OK for g to be negative. You can check that by seeing if it satisfies the equation with arbitrary g.
 
  • #3
LCKurtz said:
Regarding dividing by U, you have already assumed U not zero when you made the substitution V(x,y)=ln[U(x,y)]. This means your method may miss a possible solution U = 0. This is, in fact, a solution although likely uninteresting.

On setting V(x,y) = f(x), you are looking for any particular solution on the nonhomogeneous equation. So you are trying to see if perchance a pure function of x works. Luckily, it does.
You can check that V = -x/2 works.

As to why exp(-x/2) exp[f(3x-2y)] = exp(-x/2) g(3x-2y), you are just observing that if f can be anything, so can exp(f). g can't be completely arbitrary; it would have to be positive. But you can get any such g by taking f = ln(g).

In the end, sometimes although your steps rule out, for example, g being negative, it may turn out that in the equation itself it may be OK for g to be negative. You can check that by seeing if it satisfies the equation with arbitrary g.

1) Then that looks even worse to me, it is a very strong restriction. Why can we assume that U is always non-negative in this PDE?

2) To find a particular solution to the PDE 2Vx + 3Vy = -1, they set V(x,y)=f(x). But why can they be so sure that a solution of a function that only depends on x even EXISTS? What if it fails, then what else can we do? Does this method always work for finding particular solutions to linear non-homogeneous first order PDEs?

3) I think that typically:
Every function of the form exp[f(3x-2y)] can be expressed in the form g(3x-2y), and every function of the form g(3x-2y) can be expressed in the form exp[f(3x-2y)] by taking f=ln(g). And I think that's why they can replace exp[f(3x-2y)] by g(3x-2y).
But exp(.) is always positive, so I think g here is an arbitrary function, but MUST be positive.

To be precise, we should say that the general solution is U = exp(-x/2) g(3x-2y) where g is an arbitrary non-negative function, right?


Thank you! :)
 
  • #4
kingwinner said:
1) Then that looks even worse to me, it is a very strong restriction. Why can we assume that U is always non-negative in this PDE?

Because V(x,y)=ln[U(x,y)], and V, U are real functions?
 
  • #5
kingwinner said:
1) Then that looks even worse to me, it is a very strong restriction. Why can we assume that U is always non-negative in this PDE?

2) To find a particular solution to the PDE 2Vx + 3Vy = -1, they set V(x,y)=f(x). But why can they be so sure that a solution of a function that only depends on x even EXISTS? What if it fails, then what else can we do? Does this method always work for finding particular solutions to linear non-homogeneous first order PDEs?

3) I think that typically:
Every function of the form exp[f(3x-2y)] can be expressed in the form g(3x-2y), and every function of the form g(3x-2y) can be expressed in the form exp[f(3x-2y)] by taking f=ln(g). And I think that's why they can replace exp[f(3x-2y)] by g(3x-2y).
But exp(.) is always positive, so I think g here is an arbitrary function, but MUST be positive.

To be precise, we should say that the general solution is U = exp(-x/2) g(3x-2y) where g is an arbitrary non-negative function, right?


Thank you! :)

(2) There may be a test that indicates a pure function of x works; I don't recall for sure.
But even if you don't know ahead of time it is going to work, nothing is lost by trying. And if that fails try a function of y. Nothing guarantees that either will work.

As I said before, your method of solution precludes g being negative. But that doesn't preclude the DE itself from allowing g to be negative. And, in fact, if you try substituting

U = exp(-x/2) g(3x-2y)

in the equation with no restriction on g except differentiability, you will see that it works.
 

FAQ: PDE 2Ux + 3Uy + U = 0 with change of variables V(x,y)=ln[U(x,y)]

What is PDE 2Ux + 3Uy + U = 0?

The given equation is a partial differential equation (PDE) that represents a relationship between the partial derivatives of a function U with respect to its independent variables x and y. This type of PDE is known as a first-order linear PDE.

What does the change of variables V(x,y)=ln[U(x,y)] signify?

The change of variables represented by the function V(x,y)=ln[U(x,y)] is a transformation that converts the original equation to a new form that is easier to solve. In this case, it transforms the first-order linear PDE into a separable PDE, where the variables can be separated and solved independently.

How do you solve PDE 2Ux + 3Uy + U = 0 with the given change of variables?

To solve the transformed PDE, we can use the method of separation of variables. This involves assuming a solution of the form U(x,y) = X(x)Y(y) and substituting it into the transformed PDE. This will result in two separate ordinary differential equations, which can be solved using standard techniques. The solutions can then be combined to obtain the general solution to the original PDE.

What are the applications of PDE 2Ux + 3Uy + U = 0 with change of variables V(x,y)=ln[U(x,y)]?

PDEs with change of variables are commonly used in physics, engineering, and other scientific fields to model various phenomena such as heat transfer, fluid dynamics, and quantum mechanics. This particular PDE can be applied to problems involving the rate of change of a physical quantity in two-dimensional space.

Are there any limitations to using change of variables in solving PDEs?

While change of variables can simplify the solution process for some PDEs, it may not always be possible or effective. In some cases, the transformed PDE may be more difficult to solve than the original one. Additionally, the choice of the transformation function can greatly affect the solution, and finding the appropriate one may require trial and error or advanced mathematical techniques.

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