Can you recommend a modern book on the calculus of variations?

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SUMMARY

The discussion centers on the definitions of weak and strong extrema in the context of the calculus of variations, specifically referencing Gelfand and Fomin's book "Calculus of Variations." Participants clarify that strong extrema allow a wider class of variations, making them less restrictive than weak extrema. The conversation also highlights the confusion surrounding the definitions found in the Wikipedia article, which some participants believe are inverted. Recommendations for modern texts on the subject are sought, emphasizing the need for clarity and advanced presentations.

PREREQUISITES
  • Understanding of functional analysis, particularly in the context of continuous functions.
  • Familiarity with the concepts of weak and strong extrema in calculus of variations.
  • Knowledge of norms, specifically 0-norm and 1-norm, and their implications on extremum definitions.
  • Basic comprehension of the spaces of functions, such as ##\mathcal{C}[a,b]## and ##\mathcal{D}_1##.
NEXT STEPS
  • Research modern textbooks on the calculus of variations, focusing on advanced presentations.
  • Explore the differences between weak and strong extrema in more depth.
  • Study the implications of different norms on the classification of extrema.
  • Investigate the role of differentiable variations in determining weak extrema.
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Mathematicians, students of advanced calculus, and researchers in functional analysis seeking clarity on the calculus of variations and recommendations for contemporary literature on the topic.

Amok
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Hello guys,

Recently I came across a definition to which I'd never given much thought. I was reading through Gelfand and Fomin's "Calculus of variations" and I read the part about weak and strong extrema, and I really can't manage to wrap my head around these definitions. They can be found in the wiki article (basically a copy-paste of the book):

http://en.wikipedia.org/wiki/Calculus_of_variations#Extrema

My immediate thought is that these definitions must be inverted. I mean, if you have:

\| f-f_0 \|_1 < \delta

For certain f's, then, a fortiori you have:

\| f-f_0\|_0 < \delta

For all these f's. So this means that the extremum defined with the 1st order norm should be stronger!

At some point I found a definition that was the exact opposite of the one given in wiki (in some google book), but I can't find it anymore. Maybe I should just sleep on it, but I'd still like your input. While we're at it, can you recommend a good, modern book on the calculus of variations? I find that most books on the subject used as references are pretty dated and often not very clear.
 
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The Wiki article looks wrong. As you noted, it seems to have weak and strong reversed.
 
They aren't reversed. Strong is called strong because it allows a wider class of variations. To be a weak extremum you only have to check differentiable variations.

It would be nice to hear some book recommendations. I love Gelfand Fomin, but a more advanced presentation that assumes more background analysis would be great.
 
I reread the definition again just to clarify to myself whether strong implies weak. And it does. The norms are only used to restrict the class of variations. So the "stronger norm" is more restrictive on the allowed variations. Thus it produces a weaker form of extremum.
 
well it is kind of late but yet..

I would say that extrema in "0-norm" are stronger.

Consider a functional ##J## defined in ##\mathcal{C}[a,b]## (that is the space of all continuous functions from ##[a,b]## to ##\mathcal{R}##) then if ##J## has an extremum at ##y_0 \in \mathcal{C}## certanly it also has an extremum at ##y_0 \in \mathcal{D}_1## if it is defined on ##\mathcal{D}_1##.
I don't know if i was clear enough. I hope so..
 
i forgot to say that ##\mathcal{D}_1## is the set of all smooth functions ##y:[a,b] \rightarrow \mathcal{R}##.
Then obviously ##\mathcal{D}_1 \subset \mathcal{C}##. Let ##y_0 \in \mathcal{D}_1## (##\Rightarrow y_0 \in \mathcal{C}##). Then if ##J## has an extremum at ##y_0## in ##\mathcal{C}##, then it also has an extremum at ##y_0## in ##\mathcal{D}_1## (since ##\mathcal{D}_1## is a subset of ##\mathcal{C}##).
 

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