Solution of the good PDE ?

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In summary, the solution of the given PDE is u(x,y) = -1-x+e^x F(x^2-2y), where F is an arbitrary function. This solution was obtained by reducing the homogeneous part of the initial DE and using algebraic manipulations to find the general solution for p(x,y). The particular solution was found by seeking solutions in the forms v(x,y)=a(x) and u(x,y)=b(x).
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Solution of the good PDE ?

Find the solution of u of the equation

u_x + x u_y = u + x if u(x,0)=x^2,x>0.
 
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  • #2


The general solution to your PDE is

[itex]u(x,y) = -1-x+e^x F(x^2-2y),[/itex]

where F is an arbitrary function.

Your boundary condition leads to

[itex]F(t) = (1+t^{1/2}+t)exp(-t^{1/2}),[/itex]

where [itex]t=x^2-2y.[/itex]
 
  • #3


kosovtsov said:
The general solution to your PDE is

[itex]u(x,y) = -1-x+e^x F(x^2-2y),[/itex]

where F is an arbitrary function.

Your boundary condition leads to

[itex]F(t) = (1+t^{1/2}+t)exp(-t^{1/2}),[/itex]

where [itex]t=x^2-2y.[/itex]

I'm not the original poster, but nice. May I know which method you used to obtain the general solution? Thank you!
 
  • #4


The main idea: If the homogeneous DE

[itex]\alpha(x,y)\frac{\partial s(x,y)}{\partial x}+\beta(x,y)\frac{\partial s(x,y)}{\partial x}=0[/itex]

is solvable (it is sufficient to find any particular solution), then DE of the following type

[itex]\alpha(x,y)\frac{\partial p(x,y)}{\partial x}+\beta(x,y)\frac{\partial p(x,y)}{\partial x}=\xi(x,y)p(x,y)+f(x,y)[/itex]

is solvable (at least formally) too. And general solution for p(x,y) can be found in principle from s(x,y) by means of only algebraic manipulations.

For given DE first of all we have to reduce the homogeneous part of initial DE

[itex]\frac{\partial u(x,y)}{\partial x}+x\frac{\partial u(x,y)}{\partial x}-u(x,y)=0[/itex]

to ([itex] u=\exp(v)[/itex])

[itex]\frac{\partial v(x,y)}{\partial x}+x\frac{\partial v(x,y)}{\partial x}-1=0.[/itex]

The (particular) polynomial solution of homogeneous part of the last DE

[itex]\frac{\partial v(x,y)}{\partial x}+x\frac{\partial v(x,y)}{\partial x}=0.[/itex]

is [itex] v(x,y)=x^2-2y[/itex], so its general solution is [itex] v(x,y)=F(x^2-2y).[/itex]

To find general solutions for DEs on the way back it is quite enough here to seek particular solutions of nonhomogeneous DEs in forms [itex] v(x,y)=a(x),u(x,y)=b(x)[/itex].
 
  • #5


The solution of this partial differential equation (PDE) can be found by using the method of characteristics. This method involves finding a set of curves, known as characteristics, along which the PDE reduces to an ordinary differential equation (ODE). The solution of the ODE can then be used to find the solution of the PDE.

In this case, the characteristics are given by the equations dx/dt = 1 and dy/dt = x. Solving these equations, we get x = t and y = t^2/2 + c, where c is an arbitrary constant. This means that the PDE reduces to an ODE along the curves x = t and y = t^2/2 + c.

Solving the ODE, we get u(x,y) = e^y (x^2 + 2c). Using the initial condition, u(x,0) = x^2, we can determine the value of c as 0. Therefore, the solution of the PDE is u(x,y) = e^y (x^2).

In summary, the solution of the good PDE is u(x,y) = e^y (x^2), where x > 0 and y = t^2/2. This solution satisfies the given PDE and the initial condition.
 

What is a PDE?

A PDE, or partial differential equation, is an equation that involves multiple variables and their partial derivatives. It is commonly used to model physical systems in fields such as physics, engineering, and finance.

What is a good PDE?

A good PDE is a PDE that has a unique solution and is well-posed. This means that the solution exists, is stable, and is sensitive to initial conditions. A good PDE also has physical relevance and can accurately model the system it is describing.

What methods are used to solve PDEs?

There are various methods for solving PDEs, including analytical, numerical, and approximate methods. Analytical methods involve finding an exact solution using mathematical techniques such as separation of variables or the method of characteristics. Numerical methods use algorithms and computer programs to approximate the solution, such as finite difference or finite element methods. Approximate methods provide an approximate solution that is often easier to compute but may sacrifice accuracy.

What are boundary conditions and why are they important in solving PDEs?

Boundary conditions are conditions that are specified at the boundaries of the domain in which the PDE is being solved. They are important because they help determine the behavior of the solution at the boundaries and are necessary for finding a unique solution. Without boundary conditions, the solution to a PDE would not be fully determined.

What are some real-world applications of PDEs?

PDEs have numerous applications in various fields. In physics, they are used to model heat transfer, fluid dynamics, and wave propagation. In engineering, they are used to model structural mechanics, electromagnetism, and control systems. In finance, they are used to model stock prices and option pricing. Other applications include weather forecasting, image processing, and population dynamics.

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