Are there practical applications for Axiomatized Formal Theories?

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SUMMARY

Axiomatized formal theories have significant practical applications across various disciplines, including mathematics, engineering, and computer science. They serve as foundational tools for formal methods, particularly in the formal verification of hardware and software. The compactness theorem illustrates their utility in extending partial orders and finding polynomial roots. Additionally, satisfiability solvers are effective in addressing complex combinatorial problems, such as the traveling salesman problem.

PREREQUISITES
  • Understanding of proof theory and its applications in formal verification
  • Familiarity with the compactness theorem in mathematical logic
  • Knowledge of satisfiability solvers and their role in combinatorial problem-solving
  • Basic concepts of formal methods in computer science
NEXT STEPS
  • Research formal verification techniques in software engineering
  • Explore the compactness theorem and its implications in mathematics
  • Learn about satisfiability solvers and their algorithms
  • Investigate the applications of quantum logic in physics
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This discussion is beneficial for mathematicians, computer scientists, software engineers, and researchers interested in the practical applications of logic and formal methods in various fields.

agapito
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The study of these theories is interesting in itself,if only to understand Godel's work. My question concerns their practical applicability to the solution of problems in different disciplines like mathematics, engineering, physics and the like.

Are there reasons for studying them beyond the strictly abstract realm?

All contributions appreciated.
 
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Look at the list of logic-related conferences. If you include smaller events that are related to logic, but not necessarily have mathematical logic as the main focus, they happen around the world almost every week.

Most of them are related to computer science. Logic turned out to be a wonderful tool for building models and investigating the properties of software and hardware. It's one of the main foundations of formal methods. So even though in the beginning of the 20th century logic was one of the most abstract areas of mathematics, now it is one of the most applied ones.

One of the most direct applications of proof theory is formal verification of hardware and software as well as of regular mathematical results. A great deal of research is devoted to making proving properties of programs convenient and, hopefully, not significantly harder than writing programs themselves.

Logic can be applied to other areas of mathematics. For example, using compactness theorem, it is easy to show that every partial order can be extended to a linear one, and that every field $F$ has an extension $F'$ where every polynomial with coefficients from $F$ has a root. Satisfiability solvers can be used to solving computationally complex combinatorial problems, such as finding shortest routes that visit all cities. I am not a specialist about connection with physics, but there are some, such as quantum logic.
 
Evgeny.Makarov said:
Look at the list of logic-related conferences. If you include smaller events that are related to logic, but not necessarily have mathematical logic as the main focus, they happen around the world almost every week.

Most of them are related to computer science. Logic turned out to be a wonderful tool for building models and investigating the properties of software and hardware. It's one of the main foundations of formal methods. So even though in the beginning of the 20th century logic was one of the most abstract areas of mathematics, now it is one of the most applied ones.

One of the most direct applications of proof theory is formal verification of hardware and software as well as of regular mathematical results. A great deal of research is devoted to making proving properties of programs convenient and, hopefully, not significantly harder than writing programs themselves.

Logic can be applied to other areas of mathematics. For example, using compactness theorem, it is easy to show that every partial order can be extended to a linear one, and that every field $F$ has an extension $F'$ where every polynomial with coefficients from $F$ has a root. Satisfiability solvers can be used to solving computationally complex combinatorial problems, such as finding shortest routes that visit all cities. I am not a specialist about connection with physics, but there are some, such as quantum logic.

Many thanks for your response, am
 

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