Can Partial Differential Equations Have Non-Separable Solutions?

In summary, the conversation discusses the use of separation of variables to solve partial differential equations (PDEs). It is mentioned that this method assumes each solution is a product of two functions that are only dependent on one variable. However, it is questioned whether there exist solutions that do not follow this form. The speaker also brings up the fact that the majority of PDEs are solved numerically rather than through separation of variables. They suggest searching for results on the existence and uniqueness of solutions to PDEs, particularly in the multivariable case. It is also mentioned that Fourier series methods can be used to solve PDEs, but this requires assuming separation of variable solutions.
  • #1
pivoxa15
2,255
1
The title should have been partial differential equations.

PDEs are solved usually by separation of variables but that assumes each solution is a product of two functions which are only dependent on one variable only.

But could there exist solutions which are not in the this form? If so how would you find them?
 
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  • #2
I take issue with that. PDEs are not 'usually solved' by separation of variables since only a tiny fragment of PDEs are solvable in this manner. The majority of PDEs that are solved are surely done numerically.

What happens in a classroom example rarely approximates the normal state of affairs.

Try googling for existence and uniqueness of solutions to PDEs. I know there are results in the one variable case (the Lipschitz condition, for example), but I don't know about the multivariable one.
 
  • #3
And many partial differential equations are solve by Fourier series methods.
 
  • #4
HallsofIvy said:
And many partial differential equations are solve by Fourier series methods.

That is after you assume the separation of variable solutions though? I was asking for solutions with variables that are unseparable (i.e. e^(xy) as a solution)
 

FAQ: Can Partial Differential Equations Have Non-Separable Solutions?

What is partial differentiation?

Partial differentiation is a mathematical process used to find the rate of change of a function with respect to one of its variables, while holding all other variables constant. It is commonly used in multivariable calculus and is a fundamental tool in many areas of science and engineering.

Why is partial differentiation important?

Partial differentiation allows us to better understand and analyze functions that involve multiple variables. It allows us to determine how changes in one variable affect the overall behavior of the function, making it an essential tool in fields such as physics, economics, and engineering.

How is partial differentiation different from ordinary differentiation?

Ordinary differentiation involves finding the rate of change of a function with respect to a single variable. Partial differentiation, on the other hand, involves finding the rate of change of a function with respect to one variable while holding all other variables constant. This allows us to analyze the effect of one variable on the function, while keeping other variables fixed.

What is the notation used for partial differentiation?

The notation used for partial differentiation is similar to ordinary differentiation, but with a partial symbol (∂) instead of the derivative symbol (d). For example, the partial derivative of a function f with respect to variable x is denoted as ∂f/∂x.

What are some applications of partial differentiation?

Partial differentiation has numerous applications in fields such as physics, economics, engineering, and statistics. It is commonly used to analyze the behavior of complex systems, optimize functions, and solve differential equations. It is also used in the study of thermodynamics, quantum mechanics, and fluid mechanics.

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