Understanding Smooth Solutions to PDEs

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SUMMARY

A smooth solution to partial differential equations (PDEs) is defined as a function whose derivatives of all orders exist and are continuous, denoted as C(Ω), where Ω is the domain of the function. While some texts may refer to "sufficiently smooth" functions, this typically means that derivatives exist up to a certain order and are continuous to one order less. The distinction between smooth and real analytic solutions is significant, with the former being more flexible in terms of derivative continuity. Examples of smooth functions include bump functions and frequency components of wave packets.

PREREQUISITES
  • Understanding of partial differential equations (PDEs)
  • Familiarity with vector spaces and function spaces, specifically C(Ω)
  • Knowledge of manifold theory and its terminology
  • Basic concepts of Sobolev spaces
NEXT STEPS
  • Research the properties of Sobolev spaces and their applications in PDEs
  • Study the differences between smooth and real analytic functions
  • Explore the concept of bump functions and their role in partitions of unity
  • Learn about the implications of "sufficiently smooth" functions in mathematical proofs
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Mathematicians, physicists, and students studying partial differential equations, manifold theory, and functional analysis will benefit from this discussion.

waht
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What exactly is a smooth solution to PDEs. I couldn't find the definition in my books, googled that and came up empty handed. I suspect the solution must be continuous with all the deriviatives.
 
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You are right. A function is said to be smooth if all its derivatives are continous. The vector space of such functions is denoted C^\infty(\Omega), where \Omega is the domain where the function is defined.

I don't believe there is a formal definition of smoothness, but in general, when a text is talking about a smooth function, is implying that the function has as many continuous derivatives (not necesarily all) required for something to occur.
 
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Thanks a lot.
 
The "formal" definition of "smooth" that I have seen is "first derivative is continuous". I have also seen the phrase "sufficiently smooth" meaning as many continuous derivatives as you need.
 
Hi all, the standard definition of "smooth" (without qualification) in most textbooks on manifold theory is indeed that derivatives of all orders exist and are continuous. Examples include bump functions (as in partitions of unity) and frequency components of wave packets. Contrast real analytic solutions, which are far more "rigid"!

But Halls is also right, in the sense that many books/papers refer to "smooth of order such and such", or even "sufficiently smooth", meaning what AiRAVATA said: sufficiently smooth (usually short for "derivatives exist to order n and are continuous to order n-1") to ensure you can use whatever theorem you plan to quote in a proof.
 
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It depend if your are working on Sobolev sapces or others
 

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