Pseudomathematics
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Pseudomathematics is any work, study or activity which claims to be mathematical, but refuses to work within the standards of proof and rigour which mathematics is subject to. Much like other pseudoscience, it often relies on ignoring proven facts and methods, making unsubstaniated claims of fact and ignorance and rejection of the work of experts. Unfortunately for practitioners of pseudomathematics, mathematics is an absolute science of black and white - everything is right or wrong. There is not often scope for debate or discussion, as only mathematical proof is relevant.
Pseudomathematics takes multiple forms, often focusing on disproving accepted facts or proving things which have been proven impossible. While a conventional mathematician is welcome to reject and attempt to disprove theories or prove something, they must work within the rigour and framework of mathematics. To attempt to refute a theorem, one must prove it to be false or find an error in the given proof. One cannot simply make an argument against it. Likewise, modern mathematics has proven various things to be impossible, and so to attempt to prove it without addressing the alleged impossibility is folly.
Common claims among pseudo-mathematicians often involves refutations of the works of Gödel and Cantor; attempts to solve compass-and-straightedge problems which were proven to be impossible in the 1800s; attempts to change the values of mathematical constants or to question the accepted nature of irrationality, transcendence or complex numbers. Pseudo-mathematicians may use convincing and sophisticated mathematical vocabulary, however their theories using such terms tend to be not even wrong due to the highly specific nature of the terms.
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[edit] Compass and straightedge constructions
A common feature of pseudomathematics, and pseudoscience in general, is attempted solutions to problems which the layman can easily understand but actually involves very complicated science. Problems which anybody can understand, but only advanced mathematicians can provide true insight into, attract a whole range of cranks offering different theories.
There is perhaps no greater example of this than certain compass and straightedge construction problems. These problems involve setting a task, to be completed with only a straightedge (a marked or unmarked ruler, depending on the problem) and a compass. The most common problem is 'squaring the circle' - given a circle of radius '1 unit', construct a square of equal area. Obviously, this problem seems easy to understand. Celebrated mathematicians including Archimedes, Pythagoras and Euclid were obsessed with this problem. Unfortunately, it was proven to be impossible in the 1800s due to the transcendental-ness of pi.^{[1]}^{[2]}
To this day, attempts to 'square the circle,' as well as attempts to 'trisect the angle' and 'double the cube' are still attempted by amateur mathematicians. Because you and I can understand these problems, but perhaps cannot understand why they are impossible, they seem within the reach of the layman, if he tries hard enough. Not a single credible mathematician would doubt the proof of the impossibility of these problems, and American Professor Underwood Dudley^{[wp]} has published books documenting and refuting these claims.
[edit] Areas attracting crank ideas
[edit] Elementary proof
Elementary proof refers to the use of only basic mathematics, and has different meanings in different fields. In number theory, an elementary proof is a proof without complex analysis. It is important to remember that no proof in mathematics is "less valid" than another - it is correct or incorrect. Despite that, many crank mathematicians and fringe engineers will reject or denigrate a proof which isn't 'elementary,' probably because they can't understand it. The use of complex numbers or even reductio ad absurdum have been called into question, despite their complete acceptance by modern mathematicians^{[3]}. Reductio ad absurdum, an important mathematical tool, has been accepted since at least the time of Plato.
[edit] Complex numbers
Complex numbers rely on the imaginary unit. The imaginary unit, when squared, equals -1. Despite this being unintuitive and seemingly 'imaginary,' the use of complex numbers is very important in proving both mathematical and physical phenomena, including being particularly important in electronic engineering. After the works of Gauss, complex numbers were proven to be logically consistent and completely accepted. Despite this, 'Complex number denial' seems to exist across the internet.
[edit] Fermat's Last Theorem
The quest to solve 'Fermat's Last Theorem' (no three positive integers a, b, and c can satisfy the equation a^{n} + b^{n} = c^{n} for any integer value of n greater than two.) famously began when Pierre de Fermat claimed that he could prove it, but that he lacked the space to write the proof in a margin. It took until the 1990s and significant mathematical advancements to prove Fermat's Last Theorem; in the intervening period, this being a problem that can be understood by the layman and a proof which is very advanced, cranks have often popped up claiming to be able to prove the theorem using elementary mathematics.
[edit] The value of π
The value of π, which was proven to be irrational in 1761, has attracted hundreds of claims of an exact value from engineers, pseudomathematicians, cranks and laymen. Bill number 246 of the 1897 sitting of the Indiana State Legislature actually tried to (indirectly) set the value of π. The bill would have stated, as law, a correct method of squaring the circle.^{[4]} This method was in fact true, as long as π is held to be 3.2. Sadly, π is not 3.2. This should not be confused with an assertion that some legitimate mathematicians make that "π is wrong" and that people should use τ(tau) instead. That argument doesn't contest the value of π or its importance, but simply argues that τ (which is equal to 2π) is more comprehensible to children for teaching mathematics and simplifies trigonometry. The tau vs pi argument is not a question of pseudomath, but teaching practice.
[edit] Attempts to refute accepted theories
It is not pseudoscience to be critical of accepted theories, or to attempt to disprove them; that scepticism an important part of the scientific process. However, many crank mathematicians will attempt to refute accepted theories through verbal arguments, visual 'proofs' or alleged 'proofs' which neither deal with the complexity of the issue nor point out the error in the accepted proof. While these crank approaches seem to turn up in many areas of mathematics, particular theorems and theories tend to attract the ire of cranks throughout the centuries. Once again, this commonly occurs with theories whose premise can be understood by the layman, but whose complexities cannot. The works of Gödel and Cantor seem to attract a lot of internet cranks.
[edit] Gödel's incompleteness theorems
Gödel's two incompleteness theorems establish limitations which are inherent in any axiomatic system except for the most trivial.^{[5]} This means that however complete our axiomatic system (the basis of mathematics) becomes, there will always be statements which are true, but cannot be proven. The theorems were very controversial upon their announcement; the establishment at that time was of the belief that everything that was true could be proven. this position was most famously enunciated by David Hilbert when he said, "Wir müssen wissen. Wir werden wissen." (German for "We must know. We will know."). Despite this, this enormous upheaval of man's understanding of mathematics settled down relatively quickly as no serious mathematicians made attempts to disprove it, accepting the proof.^{[6]} Today, the professional mathematicians have fully accepted the incompleteness theorems, but a certain breed of crank seems attracted to disproving them.
[edit] Cantor, set theory & infinity
Georg Cantor's work on set theory and infinity now forms an important part of the basis of mathematics. His insights were revolutionary, redefining how we view infinity. Through his study of one-to-one correspondence, it became clear that there are different kinds of infinity. In layman's terms, two things could both be infinite, and yet there could be more of one than the other. The idea that there are different kinds of infinity doesn't seem to rest well with some people. Disproof offers of his theories range from barely mathematical to not even wrong. These attempts have come from amateur^{[7]} and professional^{[8]} mathematicians alike.
[edit] The fucking 0.999... shit
Under the standard definition and notation for the real numbers, it has been well established that 0.999... = 1.^{[9]} Many, many heated internet arguments have been had over this.
[edit] Millennium Problems
In 2000, the Clay Mathematics Institute offered $1,000,000 to anybody who could solve one of seven open questions in mathematics.^{[10]} Six remain unproven.^{[11]} In the decade since 2000, well-intentioned amateurs have attempted a whole host of attempts to solve these problems, especially the Riemann Hypothesis.^{[12]} The fact is that these problems are incredibly difficult to understand without university-level mathematical education.
[edit] Riemann Hypothesis
Often described as the most important open problem in mathematics, the Riemann Hypothesis relates to the behaviour of the Riemann zeta function. It has been proven that, if the Riemann Hypothesis is true, then certain statements about prime numbers are also true. Because of this, it is of huge importance to mathematicians. Because the problem (or at least the consequences for our understanding of prime numbers) can be understood fairly easily, dozens of 'proofs' of the hypothesis are published to the Internet regularly, normally not dealing with any of the depth of the actual problem. A British academic has collected many such attempted proofs.^{[12]}
[edit] P vs. NP problem
The P vs. NP problem deals with the minimum complexity (i.e. relation between input size and running time) of optimal algorithms solving certain kinds of computational problems.
In computer science, the complexity of an algorithm is referred to as its "order", abbreviated with a capital O. Say, for example, your problem is sorting a list of n items, and you write an algorithm that takes any list of n items and sorts them. If the computation time is directly proportional to the number of items that have to be tested (i.e. doubling the number of items doubles the computation time), we say the algorithm is O(n). If the computation time is proportional to the number of items squared (i.e. doubling the number of items quadruples the computation time), we say the algoritm is O(n^{2}). In the case of sorting an arbitrary list, the fastest algorithms tend to be O(n log n). In the case of searching through an ordered list to see if a specific item is there or not, the fastest algorithm is O(log n).
"P" stands for Polynomial. A computational problem is considered "in P" if an algorithm exists that can solve the problem in "polynomial time" -- that is, it's O(n), or O(n^{2}), or O(n^{3}), or any order where the n is raised to some fixed power. If, however, the fastest algorithm is something like O(2^{n}), where the n appears as an exponent, then the problem isn't being solved in polynomial time and isn't "in P".
"NP" stands for Non-deterministically Polynomial. A computational problem is "in NP" if an algorithm exists that can solve the problem in polynomial time on an unlimited number of computers running in parallel. A very special subset of NP problems are those considered "NP-complete." These are problems which can all be transformed into one another; the fastest algorithm for solving any one of them can be used to solve them all. Examples of NP-complete problems include the Traveling Salesman Problem ("find the shortest route along this interconnected network of nodes in which the salesman visits each node exactly once"), and the Binomial Expansion Problem ("for an equation of n variables, find an exponent for each one such that we arrive at a given set of results").
P vs. NP is hugely important to computer science. To put it in perspective: if we ever find a way to solve any NP-complete problem with a P-complexity algorithm, every single data encryption scheme on the planet becomes trivially easy to crack. Because of this, various computer scientists and geeks alike have taken a huge interest in the problem and attempted to prove it one way or the other. Sadly, the problem is very unlikely to be resolved without an advanced level of understanding. Scott Aaronson's article gives a good overview.
[edit] Practitioners
- Mohamed El Naschie is a controversial Egyptian mathematician, physicist and engineer whose E-infinity theory is disregarded by mainstream mathematics and physics. Somehow he became chief editor of a journal that people actually read and then began to fill it with his "theories". He doesn't like "RashunelWiki."^{[13]}
[edit] External Links
[edit] Footnotes
- ↑ Geometry forums - Squaring the Circle
- ↑ Steve Dutch - Why Trisecting the Angle is Impossible
- ↑ Well, not all of them.
- ↑ The Indiana Pi Bill, 1897
- ↑ Any system with enough axioms to prove useful things is covered, really.
- ↑ John W Dawson - The Reception of Gödel’s Incompleteness Theorems
- ↑ Science Forums - Cantor's Diagonal Slash Disproved
- ↑ Underwood Dudley - Mathematical cranks
- ↑ https://en.wikipedia.org/wiki/0.999...#Infinite_series_and_sequences
- ↑ Clay Mathematics Institute - First Clay Mathematics Institute Millennium Prize Announced
- ↑ The Poincaré Conjecture^{[wp]} was proven by Grigoriy Perelman in 2002/3. He declined the prize.
- ↑ ^{12.0} ^{12.1} Proposed (dis)proofs of the Riemann Hypothesis
- ↑ Rosa Online - (translation)
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