What kind of PDE loses information in time?

In summary, a PDE is a mathematical equation that involves partial derivatives and is used to model physical phenomena in various fields. It can lose information in time when initial and boundary conditions are not well-defined, leading to multiple possible solutions. All types of PDEs have this potential, but it can be prevented by ensuring well-defined conditions. PDEs that lose information in time are commonly used in fields such as fluid dynamics, heat transfer, quantum mechanics, and image and signal processing.
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Just learned that diffusion equation loses information as time goes on,i.e. given the initial condition at t=0, we can't uniquely determine the solution for t<0. And diffusion equation reminds me of Schrodinger equation, which looks very much like diffusion equation, except that the coefficient is imaginary. However, from my experience of solving it, Schrodinger's equation preserves information, initial condition at t=0 uniquely determine solutions at t<0. I'm wondering what's the criteria of determining whether a PDE loses information or not?
 
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Thank you for bringing up this interesting topic. I can provide some insight into your question about the criteria for determining whether a partial differential equation (PDE) loses information or not.

First, it is important to understand that PDEs are mathematical equations used to describe physical phenomena, such as diffusion or wave propagation. They involve multiple variables and their derivatives with respect to space and time. The solutions to PDEs are functions that describe the behavior of these physical systems.

Now, coming to your observation about the diffusion equation and Schrodinger equation, it is true that both these equations have similar mathematical forms. However, there are key differences between them that determine whether information is lost or preserved.

One of the main criteria for determining whether a PDE loses information is the presence of a dissipative term. A dissipative term is a mathematical term that represents the loss of energy or information in a physical system. In the case of the diffusion equation, the diffusion coefficient is a dissipative term, which means that as time goes on, the solution will spread out and lose its initial information. This is why we cannot uniquely determine the solution for t<0.

On the other hand, the Schrodinger equation does not have a dissipative term. The imaginary coefficient in the equation represents the quantum mechanical nature of the system, but it does not cause any loss of information. This is why the initial condition at t=0 can uniquely determine the solution at t<0.

In summary, the presence of a dissipative term is the main criteria for determining whether a PDE loses information. However, there may be other factors at play, such as the physical system being described and the boundary conditions imposed on the equation.

I hope this helps answer your question. If you have any further doubts, please feel free to ask. Let's continue to explore and learn together.
 

Related to What kind of PDE loses information in time?

1. What is a PDE?

A PDE, or partial differential equation, is a mathematical equation that involves partial derivatives of a multivariable function. It is used to model physical phenomena in various fields such as physics, engineering, and finance.

2. How does a PDE lose information in time?

A PDE can lose information in time when the initial conditions and boundary conditions are not well-defined or are not sufficient to uniquely determine the solution. This means that there are multiple solutions that could satisfy the equation, making it impossible to accurately predict the behavior of the system.

3. Can all types of PDEs lose information in time?

Yes, all types of PDEs have the potential to lose information in time. However, some PDEs are more well-behaved and have unique solutions for any given set of initial and boundary conditions, while others may have multiple solutions or even no solution at all.

4. How can we prevent a PDE from losing information in time?

To prevent a PDE from losing information in time, we need to ensure that the initial conditions and boundary conditions are well-defined and sufficient to uniquely determine the solution. This can be achieved through careful analysis and understanding of the physical system being modeled.

5. What are some real-world applications where PDEs that lose information in time are used?

PDEs that lose information in time are commonly used in fields such as fluid dynamics, heat transfer, and quantum mechanics. They are also used in image and signal processing, where noise or other factors can cause information loss in the data being analyzed.

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