Textbook for calculus of variations? Hamiltonian mechanics?

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SUMMARY

The discussion centers on the need for textbooks to learn Hamiltonian mechanics, particularly focusing on functional derivatives and variational calculus. Goldstein's "Classical Mechanics" is identified as the standard reference for both Lagrangian and Hamiltonian mechanics, though some users find it tedious. The Gateaux derivative is highlighted as a crucial concept for understanding variational calculus, which involves the variation of functionals. Recommendations include Landau & Lifshitz for introductory material and additional texts available on Amazon for deeper exploration.

PREREQUISITES
  • Understanding of basic Hamiltonian mechanics
  • Familiarity with variational calculus concepts
  • Knowledge of Gateaux derivatives
  • Experience with differential calculus in multiple variables
NEXT STEPS
  • Study Goldstein's "Classical Mechanics" for foundational knowledge
  • Explore Landau & Lifshitz vol. 1 for an introductory perspective
  • Research the Gateaux derivative and its applications in variational calculus
  • Practice problems involving variations of functionals to solidify understanding
USEFUL FOR

Students and professionals in physics, particularly those focusing on mechanics and variational calculus, as well as anyone seeking to deepen their understanding of Hamiltonian mechanics.

betelgeuse91
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I need to learn about Hamiltonian mechanics involving functional and functional derivative...
Also, I need to learn about generalized real and imaginary Hamiltonian...
I only learned the basics of Hamiltonian mechanics during undergrad and now those papers I read show very generalized version and I wish to know which book I should read...!

Could you recommend me some textbooks to learn those?
 
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Let's see... Goldstein is the defacto standard on Classical Mechanics, both Lagrangian and Hamiltonian. The basics of variational calculus is on wikipedia to a good extent. I don't have a good text but you can sit down with the web and blank sheets of paper and work through examples.

In hind sight I'd say the subject reduces to learning the meaning of the Gateaux derivative and corresponding differential. Then recognize that when dealing with function valued variables there are two levels of differential... the differential representing the variation of the value of the function as the independent variable varies. i.e. df(x) = f'(x)dx and the need to deal with arbitrary variations in the choice of function f(x) \to f(x) + \delta f(x).

Then the variation of a functional (scalar valued function of a function) will involve a variational derivative best expressed as a Gateaux derivative.
\delta L[f] = \lim_{h\to 0} \frac{G[f+h\delta f] - G[f]}{h}
where G is a functional i.e .a scalar valued function of a function-valued variable.

Once you then extrapolate your differential calculus of many variables i.e. vectors to differential calculus of functions treated as elements of a vector space, the variational calculus unfolds in a natural way. Between this post and that understanding is then a simple matter of months of exploring examples.

Go to it.
JB
 
Goldstein is also flawed, concerning non-holnomic constraints. For an intro I recommend Landau&Liftshitz vol. 1.
 

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