Norm equivalence between Sobolev space and L_2

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SUMMARY

The discussion centers on the norm equivalence between Sobolev space \( H_0^1(\Omega) \) and \( L^2(\Omega) \). The reverse Poincaré inequality establishes that for any function \( v \in H^1_0(\Omega) \), the relationship \( \|v\|_{L^2(\Omega)} \leq C(\Omega) \|\nabla v\|_{L^2(\Omega)} \) holds true. Furthermore, the equivalence \( \|u\|_{H_0^1(\Omega)} = \|\nabla u\|_{L^2(\Omega)} \) indicates that the Sobolev norm can be expressed in terms of the gradient norm. The confusion arises from transitioning between these two norm types, specifically how the \( L^2 \)-norm relates to the Sobolev norm.

PREREQUISITES
  • Understanding of Sobolev spaces, specifically \( H^1_0(\Omega) \)
  • Familiarity with the reverse Poincaré inequality
  • Knowledge of \( L^2 \)-norms and their properties
  • Basic concepts of functional analysis and Hilbert spaces
NEXT STEPS
  • Study the implications of the reverse Poincaré inequality in functional analysis
  • Explore the properties of Sobolev spaces, focusing on norm equivalences
  • Learn about the relationship between Sobolev norms and \( L^2 \)-norms
  • Investigate the role of gradients in the context of Hilbert spaces
USEFUL FOR

Mathematicians, researchers in functional analysis, and students studying Sobolev spaces and their applications in partial differential equations.

kisengue
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Hello! I've found this paper, wherein page 33 states that the reverse Poincaré inequality gives

\forall v \in H^1_0(\Omega) , \|v\|_{L^2(\Omega)} \leq C(\Omega) \|\nabla v\|_{L^2(\Omega)}

This I can follow - it gives a norm equivalence between the norm of a vector and the gradient of its gradient (clumsily expressed, I know). However, just a little bit later the paper states that

\|u\|_{H_0^1(\Omega)} = \|\nabla u\|_{L^2(\Omega)}

That is, those two norms are equivalent. This is what I don't understand - I don't understand the jump from the L^2-norms in the first statement to the Sobolev norm in the second. Any help in understanding this would be helpful.
 
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I think L2 is also in a Hilbert space. And if you take the gradient of a function, the result resides in a lower Hilbert Space.
So I think the problem reduces to finding out which H corresponds to L2.
 

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