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 In mathematics, Hilbert's program, formulated by German mathematician David Hilbert David Hilbert in the early part of the 20th century, was a proposed solution to the foundational crisis of mathematics, when early attempts to clarify the foundations of mathematics were found to suffer from paradoxes and inconsistencies. As a solution, Hilbert proposed to ground all existing theories to a finite, complete set of axioms, and provide a proof that these axioms were consistent. Hilbert proposed that the consistency of more complicated systems, such as real analysis, could be proven in terms of simpler systems. Ultimately, the consistency of all of mathematics could be reduced to basic arithmetic. Gödel's incompleteness theorems, published in 1931, showed that Hilbert's program was unattainable for key areas of mathematics. In his first theorem, Gödel showed that any consistent system with a computable set of axioms which is capable of expressing arithmetic can never be complete: it is possible to construct a statement that can be shown to be true, but that cannot be derived from the formal rules of the system. In his second theorem, he showed that such a system could not prove its own consistency, so it certainly cannot be used to prove the consistency of anything stronger with certainty. This refuted Hilbert's assumption that a finitistic system could be used to prove the consistency of itself, and therefore anything else.Contents1 Statement of Hilbert's program 2 Gödel's incompleteness theorems 3 Hilbert's program after Gödel 4 See also 5 References 6 External linksStatement of Hilbert's program The main goal of Hilbert's program was to provide secure foundations for all mathematics. In particular this should include:A formulation of all mathematics; in other words all mathematical statements should be written in a precise formal language, and manipulated according to well defined rules. Completeness: a proof that all true mathematical statements can be proved in the formalism. Consistency: a proof that no contradiction can be obtained in the formalism of mathematics. This consistency proof should preferably use only "finitistic" reasoning about finite mathematical objects. Conservation: a proof that any result about "real objects" obtained using reasoning about "ideal objects" (such as uncountable sets) can be proved without using ideal objects. Decidability: there should be an algorithm for deciding the truth or falsity of any mathematical statement.Gödel's incompleteness theorems Main article: Gödel's incompleteness theorems Kurt Gödel Kurt Gödel showed that most of the goals of Hilbert's program were impossible to achieve, at least if interpreted in the most obvious way. Gödel's second incompleteness theorem shows that any consistent theory powerful enough to encode addition and multiplication of integers cannot prove its own consistency. This presents a challenge to Hilbert's program:It is not possible to formalize all of mathematics within a formal system, as any attempt at such a formalism will omit some true mathematical statements. There is no complete, consistent extension of even Peano arithmetic based on a recursively enumerable set of axioms. A theory such as Peano arithmetic cannot even prove its own consistency, so a restricted "finitistic" subset of it certainly cannot prove the consistency of more powerful theories such as set theory. There is no algorithm to decide the truth (or provability) of statements in any consistent extension of Peano arithmetic. Strictly speaking, this negative solution to the Entscheidungsproblem appeared a few years after Gödel's theorem, because at the time the notion of an algorithm had not been precisely defined. Hilbert's program after Gödel Many current lines of research in mathematical logic, proof theory and reverse mathematics can be viewed as natural continuations of Hilbert's original program. Much of it can be salvaged by changing its goals slightly (Zach 2005), and with the following modifications some of it was successfully completed:Although it is not possible to formalize all mathematics, it is possible to formalize essentially all the mathematics that anyone uses. In particular Zermelo–Fraenkel set theory, combined with first-order logic, gives a satisfactory and generally accepted formalism for almost all current mathematics. Although it is not possible to prove completeness for systems at least as powerful as Peano arithmetic (at least if they have a computable set of axioms), it is possible to prove forms of completeness for many other interesting systems. The first big success was by Gödel himself (before he proved the incompleteness theorems) who proved the completeness theorem for first-order logic, showing that any logical consequence of a series of axioms is provable. An example of a non-trivial theory for which completeness has been proved is the theory of algebraically closed fields of given characteristic. The question of whether there are finitary consistency proofs of strong theories is difficult to answer, mainly because there is no generally accepted definition of a "finitary proof". Most mathematicians in proof theory seem to regard finitary mathematics as being contained in Peano arithmetic, and in this case it is not possible to give finitary proofs of reasonably strong theories. On the other hand, Gödel himself suggested the possibility of giving finitary consistency proofs using finitary methods that cannot be formalized in Peano arithmetic, so he seems to have had a more liberal view of what finitary methods might be allowed. A few years later, Gentzen gave a consistency proof for Peano arithmetic. The only part of this proof that was not clearly finitary was a certain transfinite induction up to the ordinal ε0. If this transfinite induction is accepted as a finitary method, then one can assert that there is a finitary proof of the consistency of Peano arithmetic. More powerful subsets of second order arithmetic have been given consistency proofs by Gaisi Takeuti and others, and one can again debate about exactly how finitary or constructive these proofs are. (The theories that have been proved consistent by these methods are quite strong, and include most "ordinary" mathematics.) Although there is no algorithm for deciding the truth of statements in Peano arithmetic, there are many interesting and non-trivial theories for which such algorithms have been found. For example, Tarski found an algorithm that can decide the truth of any statement in analytic geometry (more precisely, he proved that the theory of real closed fields is decidable). Given the Cantor–Dedekind axiom, this algorithm can be regarded as an algorithm to decide the truth of any statement in Euclidean geometry. This is substantial as few people would consider Euclidean geometry Euclidean geometry a trivial theory.See alsoGrundlagen der Mathematik Foundational crisis of mathematics AtomismReferencesG. Gentzen, 1936/1969. Die Widerspruchfreiheit der reinen Zahlentheorie. Mathematische Annalen 112:493–565. Translated as 'The consistency of arithmetic', in The collected papers of Gerhard Gentzen, M. E. Szabo (ed.), 1969. D. Hilbert. 'Die Grundlagen Der Elementaren Zahlentheorie'. Mathematische Annalen 104:485–94. Translated by W. Ewald as 'The Grounding of Elementary Number Theory', pp. 266–273 in Mancosu (ed., 1998) From Brouwer to Hilbert: The debate on the foundations of mathematics in the 1920s, Oxford University Press. New York. S.G. Simpson, 1988. Partial realizations of Hilbert's program. Journal of Symbolic Logic 53:349–363. R. Zach, 2005. Hilbert's Program Then and Now. Manuscript, arXiv:math/0508572v1.External linksEntry on Hilbert's program by Richard Zach at the Stanford Encyclopedia of Philosophy.v t eComputable knowledgeTopics and conceptsAlphabet of human thought Authority control Automated reasoning Commonsense knowledge Commonsense reasoning Computability Formal system Inference engine Knowledge base Knowledge-based systems Knowledge engineering Knowledge extraction Knowledge representation Knowledge retrieval Library classification Logic programming Ontology Personal knowledge base Question answering Semantic reasonerProposals and implementationsZairja Ars Magna (1300) An Essay towards a Real Character, and a Philosophical Language (1688) Calculus ratiocinator Calculus ratiocinator and characteristica universalis (1700) Dewey Decimal Classification (1876) Begriffsschrift (1879) Mundaneum (1910) Logical atomism (1918) Tractatus Logico-Philosophicus (1921) Hilbert's program (1920s) Incompleteness theorem (1931) World Brain (1938) Memex (1945) General Problem Solver (1959) Prolog (1972) Cyc (1984) Semantic Web (2001) Evi (2007) Wolfram Alpha (2009) Watson (2011) Siri (2011) Knowledge Graph (2012) Wikidata (2012) Cortana (2014) Viv (2016)In fiction The Engine The Engine (Gulliver's Travels, 1726) Joe ("A Logic Named Joe", 1946) The Librarian (Snow Crash, 1992) Dr. Know (A.I. Artificial Intelligence, 2001) Waterhouse (The Baroque Cycle, 2003)See also: Logic machines in fiction and List of f

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