Functional diffential-integral equations

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In summary, Brian Hatfield's book, "Quantum Field Theory Of Point Particles And Strings," discusses functional calculus notation and derivatives in great detail. He uses notation similar to that of ordinary derivatives, and assumes some familiarity with the subject. He references a 1966 book, "The Method of Second Quantization," which is apparently expensive to purchase. It seems that the notation and derivations discussed in the book are related to operator theory on a Hilbert space.
  • #1
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I'm reading Quantum Field Theory Of Point Particles And Strings, by Brian Hatfield, chapter 9 called Functional Calculus. But he seems to assume some famiality with the subject. I'm intriqued by his notation. He uses notation for functional derivatives almost as if it were ordinary derivatives; he uses the notation:

[tex]\[
\frac{{\delta F[a]}}{{\delta a(x)}}
\][/tex], [tex] \[
\frac{{\delta ^2 G[a]}}{{\delta a(y)^2 }}
\][/tex], and [tex] \[
\int {\Delta a\,\,e^{ - F[a]} }
\]
[/tex].

I'm looking for a more complete development of these ideas using this kind of notation. I wonder if it is developed enough to solve for Functionals F[a], like differential equations solve for functions. It makes me wonder if, say, the functional Lagrangian of physics can be derived on first principles using these methods. Any guidance would be appreciated. Thanks.
 
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  • #2
Yeah, no, you can't really 'solve' functionals the same way you would a differential equation.
(Oh the elusive Exact Density Functional! Hear the lament of the quantum chemist! 45 years since we http://www-theor.ch.cam.ac.uk/people/ross/thesis/node32.html" you existed and no one yet knows what you are! :cry:)

Anyway, http://julian.tau.ac.il/~bqs/functionals.pdf" seems like an okay introduction - or you could check out some Mathematical Methods for Physics books (e.g. Arfken) that have chapters on functional analysis, or one of the many dedicated books on the topic.
 
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  • #3
alxm said:
Yeah, no, you can't really 'solve' functionals the same way you would a differential equation.
I wonder if there is any proof of this statement. Or are you speaking from your own experience? Could it be because there is no way to specify boundary conditions for functionals as there is for functions? Maybe not in general, but perhaps in special circumstances. Or maybe it is sufficient to show that some functional does obey the Functional differential equation. Could uniqueness be addressed by showing that a slight variation of the functional is not a solution?

alxm said:
Anyway, http://julian.tau.ac.il/~bqs/functionals.pdf" seems like an okay introduction - or you could check out some Mathematical Methods for Physics books (e.g. Arfken) that have chapters on functional analysis, or one of the many dedicated books on the topic.

In the bibliography, Brian Hatfield references F. A. Berezine, The Method of Second Quantization, 1966. I looked this up on Amazon.com; they want $530 a copy for this book. Does it really have this special information in it?

What exactly would be the topic that I would look up for this subject? I looked in some of my variational calculus books. They don't seem to use this notation and don't get into functional integration (path integrals) very much.
 
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  • #4
I was also looking for this kind of stuff. For instance whenever it comes to obtain Taylor-expansions of functionals. :)
 
  • #5
haushofer said:
I was also looking for this kind of stuff. For instance whenever it comes to obtain Taylor-expansions of functionals. :)

It seems there is some similarity between functional differential-integral calculus and that of operators on a Hilbert space. You can have infinite dimensional vectors in Hilbert space used to describe functions. And the operators that act on these vectors are derivatives and integrals, much like functionals that act on functions. I wonder how close the relationship is. Perhaps operator math on Hilbert space simply uses a different notation, where, perhaps, the operators are limited to being linear. There are operators defined in terms of other operators. And if I remember correctly, there are taylor expansions and power series of operators. Perhaps these techniques transfers to functional math.
 
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  • #6
I guess they do, because in field theory people are quite used to use these functional Taylor expressions. For instance, when you perform a coordinate transformation and look at the functional and coordinate change of the action. I tried to find a rigorous justification for this, but somehow few people take the effort to explain this in detail. Maybe I should try it for myself :)
 

Related to Functional diffential-integral equations

1. What are functional differential-integral equations?

Functional differential-integral equations are a type of mathematical equation that combines both differential and integral operators. They are used to model dynamic systems in which the present state of the system depends not only on its current value, but also on its past history.

2. How are functional differential-integral equations different from ordinary differential equations?

The main difference between functional differential-integral equations and ordinary differential equations is that the former involve both differential and integral operators, while the latter only involve differential operators. This allows functional differential-integral equations to capture more complex dynamics and behaviors in a system.

3. What are some real-world applications of functional differential-integral equations?

Functional differential-integral equations are used in a wide range of fields, including physics, biology, economics, and engineering. They are particularly useful in modeling systems with memory, such as population dynamics, chemical reactions, and control systems.

4. How are functional differential-integral equations solved?

Solving functional differential-integral equations can be challenging and often requires advanced mathematical techniques. There is no one general method for solving these equations, as the approach will depend on the specific form of the equation and the type of system being modeled.

5. What are the benefits of using functional differential-integral equations?

Functional differential-integral equations offer a more comprehensive and accurate representation of dynamic systems, compared to ordinary differential equations. They also allow for the inclusion of memory effects, which can be critical in certain applications. Additionally, they can provide insights into the long-term behavior of a system, rather than just its current state.

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