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Proof of impossibility

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Inmathematics, animpossibility theorem is atheorem that demonstrates a problem or general set of problems cannot be solved. These are also known asproofs of impossibility,negative proofs, ornegative results. Impossibility theorems often resolve decades or centuries of work spent looking for a solution by proving thereis no solution. Proving that something is impossible is usually much harder than the opposite task, as it is often necessary to develop a proof that works in general, rather than to just show a particular example.[1] Impossibilitytheorems are usually expressible as negative existential propositions oruniversal propositions in logic.

Theirrationality of the square root of 2 is one of the oldest proofs of impossibility. It shows that it is impossible to express the square root of 2 as aratio of twointegers. Another consequential proof of impossibility wasFerdinand von Lindemann's proof in 1882, which showed that the problem ofsquaring the circle cannot be solved[2] because the numberπ istranscendental (i.e., non-algebraic), and that only a subset of thealgebraic numbers can be constructed bycompass and straightedge. Two other classical problems—trisecting the general angle anddoubling the cube—were also proved impossible in the 19th century, and all of these problems gave rise to research into more complicated mathematical structures.

Some of the most important proofs of impossibility found in the 20th century were those related toundecidability, which showed that there are problems that cannot be solved in general by anyalgorithm, with one of the more prominent ones being thehalting problem.Gödel's incompleteness theorems were other examples that uncovered fundamental limitations in the provability of formal systems.[3]

Incomputational complexity theory, techniques like relativization (the addition of anoracle) allow for "weak" proofs of impossibility, in that proofs techniques that are not affected by relativization cannot resolve theP versus NP problem.[4] Another technique is the proof ofcompleteness for acomplexity class, which provides evidence for the difficulty of problems by showing them to be just as hard to solve as any other problem in the class. In particular, a complete problem isintractable if one of the problems in its class is.

Proof techniques

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See also:Types of proof

Contradiction

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One of the widely used types of impossibility proof isproof by contradiction. In this type of proof, it is shown that if a proposition, such as a solution to a particular class of equations, is assumed to hold, then via deduction two mutually contradictory things can be shown to hold, such as a number being both even and odd or both negative and positive. Since the contradiction stems from the original assumption, this means that the assumed premise must be impossible.

In contrast, a non-constructive proof of an impossibility claim would proceed by showing it is logically contradictory forall possible counterexamples to be invalid: at leastone of the items on a list of possible counterexamples must actually be a valid counterexample to the impossibility conjecture. For example, a conjecture that it is impossible for an irrational power raised to an irrational power to be rationalwas disproved, by showing that one of two possible counterexamples must be a valid counterexample, without showing which one it is.

By descent

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Main article:Proof by infinite descent

Another type of proof by contradiction is proof by descent, which proceeds first by assuming that something is possible, such as apositive integer[5] solution to a class of equations, and that therefore there must be a smallest solution (by theWell-ordering principle). From the alleged smallest solution, it is then shown that a smaller solution can be found, contradicting the premise that the former solution was the smallest one possible—thereby showing that the original premise that a solution exists must be false.

Counterexample

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The obvious way to disprove an impossibility conjecture is by providing a singlecounterexample. For example,Euler proposed that at leastn differentnth powers were necessary to sum to yet anothernth power. The conjecture was disproved in 1966, with a counterexample involving a count of only four different 5th powers summing to another fifth power:

275 + 845 + 1105 + 1335 = 1445.

Proof by counterexample is a form ofconstructive proof, in that an object disproving the claim is exhibited.

Economics

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Arrow's theorem: Rational ranked-choice voting

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Insocial choice theory,Arrow's impossibility theorem shows that it is impossible to devise aranked-choice voting system that is bothnon-dictatorial and satisfies a basic requirement forrational behavior calledindependence of irrelevant alternatives.

Gibbard's theorem: Non-dictatorial strategyproof games

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Gibbard's theorem shows that anystrategyproofgame form (i.e. one with adominant strategy) with more than two outcomes isdictatorial.

TheGibbard–Satterthwaite theorem is a special case showing that no deterministic voting system can be fully invulnerable tostrategic voting in all circumstances, regardless of how others vote.

Revelation principle: Non-honest solutions

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Therevelation principle can be seen as an impossibility theorem showing the "opposite" of Gibbard's theorem, in a colloquial sense: anygame or voting system can bemade resistant to strategy by incorporating the strategy into themechanism. Thus, it is impossible to design amechanism with a solution that is better than can be obtained by atruthful mechanism.

Geometry

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Expressingmth roots rationally

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The proof byPythagoras about 500 BCE has had a profound effect on mathematics. It shows that thesquare root of 2 cannot be expressed as the ratio of two integers. The proof bifurcated "the numbers" into two non-overlapping collections—therational numbers and theirrational numbers.

There is a famous passage inPlato'sTheaetetus in which it is stated thatTheodorus (Plato's teacher) proved the irrationality of

3,5,...,{\displaystyle {\sqrt {3}},{\sqrt {5}},...,}

taking all the separate cases up to the root of 17 square feet ... .[6]

A more general proof shows that themth root of an integerN is irrational, unlessN is themth power of an integern.[7] That is, it is impossible to express themth root of an integerN as the ratioab of two integersa andb, that share no commonprime factor, except in cases in whichb = 1.

Euclidean constructions

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Greek geometry was based on the use of thecompass and a straightedge (though the straightedge is not strictly necessary). The compass allows a geometer to construct points equidistant from each other, which inEuclidean space are equivalent to implicitly calculations ofsquare roots. Four famous questions asked how to construct:

  1. a pair of linestrisecting a given angle;
  2. a cube with a volumetwice the volume of a given cube;
  3. a squareequal in area to that of a given circle;
  4. anequilateral polygon with an arbitrary number of sides.

For more than 2,000 years unsuccessful attempts were made to solve these problems; at last, in the 19th century it was proved that the desired constructions are mathematically impossible without admitting additional tools other than a compass.[8]

All of these are problems inEuclidean construction, and Euclidean constructions can be done only if they involve onlyEuclidean numbers (by definition of the latter).[9] Irrational numbers can be Euclidean. A good example is the square root of 2 (an irrational number). It is simply the length of the hypotenuse of a right triangle with legs both one unit in length, and it can be constructed with a straightedge and a compass. But it was proved centuries after Euclid that Euclidean numbers cannot involve any operations other than addition, subtraction, multiplication, division, and the extraction of square roots.

Bothtrisecting the general angle anddoubling the cube require takingcube roots, which are notconstructible numbers.

π{\displaystyle \pi } is not aEuclidean number ... and therefore it is impossible to construct, by Euclidean methods a length equal to the circumference of a circle of unit diameter

Becauseπ{\displaystyle \pi } was proved in 1882 to be atranscendental number, it is not a Euclidean number; Hence the construction of a lengthπ{\displaystyle \pi } from a unit circle is impossible.[10][11]

Constructing an equilateraln-gon

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TheGauss-Wantzel theorem showed in 1837 that constructing an equilateraln-gon is impossible for most values ofn.

Deducing Euclid's parallel postulate

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Main article:Non-Euclidean geometry

Theparallel postulate from Euclid'sElements is equivalent tothe statement that given a straight line and a point not on that line, only one parallel to the line may be drawn through that point. Unlike the other postulates, it was seen as less self-evident. Nagel and Newman argue that this may be because the postulate concerns "infinitely remote" regions of space; in particular, parallel lines are defined as not meeting even "at infinity", in contrast toasymptotes.[12] This perceived lack of self-evidence led to the question of whether it might be proven from the other Euclidean axioms and postulates. It was only in the nineteenth century that the impossibility of deducing the parallel postulate from the others was demonstrated in the works ofGauss,Bolyai,Lobachevsky, andRiemann. These works showed that the parallel postulate can moreover be replaced by alternatives, leading tonon-Euclidean geometries.

Nagel and Newman consider the question raised by the parallel postulate to be "...perhaps the most significant development in its long-range effects upon subsequent mathematical history".[12] In particular, they consider its outcome to be "of the greatest intellectual importance," as it showed that "aproof can be given of theimpossibility of proving certain propositions [in this case, the parallel postulate] within a given system [in this case, Euclid's first four postulates]."[13]

Number theory

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Impossibility of Fermat triples

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Main article:Fermat's Last Theorem

Fermat's Last Theorem was conjectured byPierre de Fermat in the 1600s, states the impossibility of finding solutions in positive integers for the equationxn+yn=zn{\displaystyle x^{n}+y^{n}=z^{n}} withn>2{\displaystyle n>2}.Fermat himself gave a proof for then = 4 case using his technique ofinfinite descent, and other special cases were subsequently proved, but the general case was not proven until 1994 byAndrew Wiles.

Integer solutions of Diophantine equations: Hilbert's tenth problem

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Main articles:Matiyasevich's theorem andHilbert's problems

The question "Does any arbitrary Diophantine equation have an integer solution?" isundecidable. That is, it is impossible to answer the question for all cases.

Franzén introducesHilbert's tenth problem and theMRDP theorem (Matiyasevich-Robinson-Davis-Putnam theorem) which states that "no algorithm exists which can decide whether or not a Diophantine equation hasany solution at all". MRDP uses the undecidability proof of Turing: "... the set of solvable Diophantine equations is an example of a computably enumerable but not decidable set, and the set of unsolvable Diophantine equations is not computably enumerable".[14]

Decidability

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Richard's paradox

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Main article:Richard's paradox

This profound paradox presented byJules Richard in 1905 informed the work ofKurt Gödel[15] and Alan Turing. A succinct definition is found inPrincipia Mathematica:[16]

Richard's paradox ... is as follows. Consider all decimals that can be defined by means of afinite number ofwords[“words” are symbols; boldface added for emphasis]; letE be the class of such decimals. ThenE has0{\displaystyle \aleph _{0}}[an infinite number of] terms; hence its members can be ordered as the 1st, 2nd, 3rd, ... LetX be a number defined as follows[Whitehead & Russell now employ the Cantor diagonal method].
If then-th figure in then-th decimal isp, let then-th figure inX bep + 1 (or 0, ifp = 9). ThenX is different from all the members ofE, since, whatever finite valuen may have, then-th figure inX is different from then-th figure in then-th of the decimals composingE, and thereforeX is different from then-th decimal. Nevertheless we have definedX in a finite number of words[i.e. this very definition of “word” above.] and thereforeX ought to be a member ofE. ThusX both is and is not a member of E.

— Principia Mathematica, 2nd edition 1927, p. 61

Kurt Gödel considered his proof to be “an analogy” of Richard's paradox, which he called "Richard's antinomy"[17] (seebelow).

Alan Turing constructed this paradox with a machine and proved that this machine could not answer a simple question: will this machine be able to determine if any machine (including itself) will become trapped in an unproductive ‘infinite loop’ (i.e. it fails to continue its computation of the diagonal number).

Complete and consistent axiomatic system

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Main article:Gödel's incompleteness theorems

To quote Nagel and Newman (p. 68), "Gödel's paper is difficult. Forty-six preliminary definitions, together with several important preliminary theorems, must be mastered before the main results are reached". In fact, Nagel and Newman required a 67-page introduction to their exposition of the proof. But if the reader feels strong enough to tackle the paper, Martin Davis observes that "This remarkable paper is not only an intellectual landmark but is written with a clarity and vigor that makes it a pleasure to read" (Davis in Undecidable, p. 4).

Gödel proved, in his own words:

"It is reasonable... to make the conjecture that ...[the] axioms [fromPrincipia Mathematica andPeano] are ... sufficient to decide all mathematical questions which can be formally expressed in the given systems. In what follows it will be shown that this is not the case, but rather that ... there exist relatively simple problems of the theory of ordinary whole numbers which cannot be decided on the basis of the axioms" (Gödel in Undecidable, p. 4).

Gödel compared his proof to "Richard's antinomy" (an "antinomy" is a contradiction or a paradox; for more seeRichard's paradox):

"The analogy of this result with Richard's antinomy is immediately evident; there is also a close relationship [14] with theLiar Paradox (Gödel's footnote 14: Everyepistemological antinomy can be used for a similar proof of undecidability) ... Thus, we have a proposition before us which asserts its own unprovability [15]. (His footnote 15: Contrary to appearances, such a proposition is not circular, for, to begin with, it asserts the unprovability of a quite definite formula)".[17]

Proof of halting

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Main article:Turing's proof
  • TheEntscheidungsproblem, thedecision problem, was first answered by Church in April 1935 and preceded Turing by over a year, as Turing's paper was received for publication in May 1936.[18]
  • Turing's proof is made difficult by number of definitions required and its subtle nature. SeeTuring machine andTuring's proof for details.
  • Turing's first proof (of three) follows the schema of Richard's paradox: Turing's computing machine is an algorithm represented by a string of seven letters in a "computing machine". Its "computation" is to testall computing machines (including itself) for "circles", and form a diagonal number from the computations of the non-circular or "successful" computing machines. It does this, starting in sequence from 1, by converting the numbers (base 8) into strings of seven letters to test. When it arrives at its own number, it createsits own letter-string. It decides it is the letter-string of a successful machine, but when it tries to do this machine's (its own) computation it locks in a circle and can't continue. Thus, we have arrived at Richard's paradox. (If you are bewildered see Turing's proof for more).

A number of similar undecidability proofs appeared soon before and after Turing's proof:

  1. April 1935: Proof ofAlonzo Church ("An Unsolvable Problem of Elementary Number Theory"). His proof was to "...propose a definition of effective calculability ... and to show, by means of an example, that not every problem of this class is solvable" (Undecidable p. 90))
  2. 1946:Post correspondence problem (cf Hopcroft and Ullman[19] p. 193ff, p. 407 for the reference)
  3. April 1947: Proof ofEmil Post (Recursive Unsolvability of a Problem of Thue) (Undecidable p. 293). This has since become known as "The Word problem of Thue" or "Thue's Word Problem" (Axel Thue proposed this problem in a paper of 1914 (cf References to Post's paper in Undecidable, p. 303)).
  4. Rice's theorem: a generalized formulation of Turing's second theorem (cf Hopcroft and Ullman[19] p. 185ff)[20]
  5. Greibach's theorem: undecidability in language theory (cf Hopcroft and Ullman[19] p. 205ff and reference on p. 401 ibid:Greibach [1963] "The undecidability of the ambiguity problem for minimal lineal grammars,"Information and Control 6:2, 117–125, also reference on p. 402 ibid: Greibach [1968] "A note on undecidable properties of formal languages", Math Systems Theory 2:1, 1–6.)
  6. Penrose tiling questions.

Information theory

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Compression of random strings

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Main article:Chaitin's incompleteness theorem

For an exposition suitable for non-specialists, see Beltrami p. 108ff. Also see Franzen Chapter 8 pp. 137–148, and Davis pp. 263–266. Franzén's discussion is significantly more complicated than Beltrami's and delves into Ω—Gregory Chaitin's so-called "halting probability". Davis's older treatment approaches the question from aTuring machine viewpoint. Chaitin has written a number of books about his endeavors and the subsequent philosophic and mathematical fallout from them.

A string iscalled(algorithmically) random if it cannot be produced from any shorter computer program. Whilemost strings are random, no particular one can be proved so, except for finitely many short ones:

"A paraphrase of Chaitin's result is that there can be no formal proof that a sufficiently long string is random..."[21]

Beltrami observes that "Chaitin's proof is related to a paradox posed by Oxford librarian G. Berry early in the twentieth century that asks for 'the smallest positive integer that cannot be defined by an English sentence with fewer than 1000 characters.' Evidently, the shortest definition of this number must have at least 1000 characters. However, the sentence within quotation marks, which is itself a definition of the alleged number is less than 1000 characters in length!"[22]

Natural sciences

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Main article:No-go theorem

Innatural science, impossibility theorems are derived as mathematical results proven within well-establishedscientific theories. The basis for this strong acceptance is a combination of extensive evidence of something not occurring, combined with an underlying theory, very successful in making predictions, whose assumptions lead logically to the conclusion that something is impossible.

Two examples of widely accepted impossibilities inphysics areperpetual motion machines, which violate the law ofconservation of energy, and exceeding thespeed of light, which violates the implications ofspecial relativity. Another is theuncertainty principle ofquantum mechanics, which asserts the impossibility of simultaneously knowing both the position and the momentum of a particle. There is alsoBell's theorem: no physical theory of local hidden variables can ever reproduce all of the predictions of quantum mechanics.

While an impossibility assertion in natural science can never be absolutely proved, it could be refuted by the observation of a singlecounterexample. Such a counterexample would require that the assumptions underlying the theory that implied the impossibility be re-examined.

See also

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Notes and references

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  1. ^Pudlák, pp. 255–256.
  2. ^Weisstein, Eric W."Circle Squaring".mathworld.wolfram.com. Retrieved2019-12-13.
  3. ^Raatikainen, Panu (2018),"Gödel's Incompleteness Theorems", in Zalta, Edward N. (ed.),The Stanford Encyclopedia of Philosophy (Fall 2018 ed.), Metaphysics Research Lab, Stanford University, retrieved2019-12-13
  4. ^Baker, Theodore; Gill, John; Solovay, Robert (1975)."Relativizations of the P=?NP Question".SIAM Journal on Computing.4 (4):431–442.doi:10.1137/0204037. Retrieved2022-12-11.
  5. ^More generally, proof by infinite descent is applicable to anywell-ordered set.
  6. ^Hardy and Wright, p. 42
  7. ^Hardy and Wright, p. 40
  8. ^Nagel and Newman p. 8
  9. ^Hardy and Wright p. 159
  10. ^Hardy and Wright p. 176
  11. ^Hardy and Wright p. 159 referenced by E. Hecke. (1923).Vorlesungen über die Theorie der algebraischen Zahlen. Leipzig:Akademische Verlagsgesellschaft
  12. ^abNagel and Newman, p. 9
  13. ^Nagel and Newman, p. 10
  14. ^Franzén p.71
  15. ^Nagel, Ernest; Newman, James R. (1958).Gödel's proof. Lulu.com. pp. 60 ff.ISBN 0-359-07926-1.OCLC 1057623639.
  16. ^Principia Mathematica, 2nd edition 1927, p. 61, 64 inPrincipia Mathematica online, Vol.1 at University of Michigan Historical Math Collection
  17. ^abGödel inUndecidable, p. 9
  18. ^Also received for publication in 1936 (in October, later than Turing) was a short paper by Emil Post that discussed the reduction of an algorithm to a simple machine-like "method" very similar to Turing's computing machine model (seePost–Turing machine for details).
  19. ^abcJohn E. Hopcroft,Jeffrey D. Ullman (1979).Introduction to Automata Theory, Languages, and Computation. Addison-Wesley.ISBN 0-201-02988-X.
  20. ^"...there can be no machine E which ... will determine whether M [an arbitrary machine] ever prints a given symbol (0 say)" (Undecidable p. 134). Turing makes an odd assertion at the end of this proof that sounds remarkably like Rice's Theorem:
    "...each of these "general process" problems can be expressed as a problem concerning a general process for determining whether a given integer n has a property G(n)... and this is equivalent to computing a number whose nth figure is 1 if G(n) is true and 0 if it is false" (Undecidable p 134). Unfortunately he doesn't clarify the point further, and the reader is left confused.
  21. ^Beltrami p. 109
  22. ^Beltrami, p. 108

Bibliography

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  • G. H. Hardy andE. M. Wright,An Introduction to the Theory of Numbers, Fifth Edition, Clarendon Press, Oxford England, 1979, reprinted 2000 with General Index (first edition: 1938). The proofs that e and pi are transcendental are not trivial, but a mathematically adept reader will be able to wade through them.
  • Alfred North Whitehead andBertrand Russell,Principia Mathematica to *56, Cambridge at the University Press, 1962, reprint of 2nd edition 1927, first edition 1913. Chap. 2.I. "The Vicious-Circle Principle" p. 37ff, and Chap. 2.VIII. "The Contradictions" p. 60ff.
  • Turing, A.M. (1936), "On Computable Numbers, with an Application to the Entscheidungsproblem",Proceedings of the London Mathematical Society, 2, vol. 42, no. 1 (published 1937), pp. 230–65,doi:10.1112/plms/s2-42.1.230,S2CID 73712 (andTuring, A.M. (1938), "On Computable Numbers, with an Application to the Entscheidungsproblem: A correction",Proceedings of the London Mathematical Society, 2, vol. 43, no. 6 (published 1937), pp. 544–6,doi:10.1112/plms/s2-43.6.544).online version This is the epochal paper where Turing definesTuring machines and shows that it (as well as theEntscheidungsproblem) is unsolvable.
  • Martin Davis,The Undecidable, Basic Papers on Undecidable Propositions, Unsolvable Problems And Computable Functions, Raven Press, New York, 1965. Turing's paper is #3 in this volume. Papers include those by Godel, Church, Rosser, Kleene, and Post.
  • Martin Davis's chapter "What is a Computation" in Lynn Arthur Steen'sMathematics Today, 1978, Vintage Books Edition, New York, 1980. His chapter describes Turing machines in the terms of the simplerPost–Turing machine, then proceeds onward with descriptions of Turing's first proof and Chaitin's contributions.
  • Andrew Hodges,Alan Turing: The Enigma, Simon and Schuster, New York. Cf Chapter "The Spirit of Truth" for a history leading to, and a discussion of, his proof.
  • Hans Reichenbach,Elements of Symbolic Logic, Dover Publications Inc., New York, 1947. A reference often cited by other authors.
  • Ernest Nagel andJames Newman,Gödel's Proof, New York University Press, 1958.
  • Edward Beltrami,What is Random? Chance and Order in Mathematics and Life, Springer-Verlag New York, Inc., 1999.
  • Torkel Franzén,Godel's Theorem, An Incomplete Guide to Its Use and Abuse, A.K. Peters, Wellesley Mass, 2005. A recent take on Gödel's Theorems and the abuses thereof. Not so simple a read as the author believes it is. Franzén's (blurry) discussion of Turing's 3rd proof is useful because of his attempts to clarify terminology. Offers discussions of Freeman Dyson's, Stephen Hawking's, Roger Penrose's and Gregory Chaitin's arguments (among others) that use Gödel's theorems, and useful criticism of some philosophic and metaphysical Gödel-inspired dreck that he's found on the web.
  • Pavel Pudlák,Logical Foundations of Mathematics and Computational Complexity. A Gentle Introduction, Springer 2013. (See Chapter 4 "Proofs of impossibility".)
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