Proofs in Mathematics: Methods, Examples, and How to Write Them
A mathematical proof is a logical argument, built only from definitions, axioms, and previously established results, that shows a statement is true in every case with no exceptions. Checking examples, no matter how many, is never enough. Proofs use deductive reasoning, and the main techniques are direct proof, proof by contradiction, and proof by induction.
Table of Contents
Key Takeaways
- A proof must hold for every possible case; testing examples such as n = 1 through n = 10 can never establish a general claim.
- The polynomial n² ā n + 41 produces prime numbers for every integer from n = 1 to n = 40, then fails at n = 41, where the result equals 41².
- Direct proof, proof by contradiction, and proof by induction are the three techniques covered below, each illustrated with a worked example.
- Induction requires two components: a base case and a step showing the statement holds for n+1 whenever it holds for n.
- Formal proofs use rigid symbolic structure, while informal proofs use natural language and are what mathematicians write in practice.
What Is a Mathematical Proof?
A proof is a convincing explanation of why a mathematical statement is true, built only from definitions, axioms, and previously proven theorems or lemmas. A proof relies on deductive reasoning rather than empirical observation, meaning it must account for every case, not just the ones that have been checked.
For example, no amount of checking small values of n can prove that n² ā n + 41 is prime for every natural number n. A valid proof must explain why the claim holds universally, with no exception, regardless of how large n becomes.
In mathematical logic, a “formal proof” is a proof written with rigid symbolic structure and little or no natural language. Formal proofs are precise but difficult to read, so in practice mathematicians write informal proofs: arguments expressed in readable prose that remain rigorous enough to be convincing. Any valid informal proof can, in principle, be converted into a formal one, though this conversion is rarely done in practice because of how tedious it is. A large collection of formal proofs is available at Metamath.
Why Are Proofs Necessary Instead of Checking Examples?
Mathematics requires statements that are true in every case, or false, rather than statements that are “usually true.” A pattern that holds for most examined cases is generally uninteresting unless the word “most” is defined with mathematical precision, because checking finitely many cases can never rule out a counterexample among infinitely many possibilities.
The polynomial n² ā n + 41 illustrates this danger clearly. It produces a prime number for every integer from n = 1 through n = 40:
| n | n² ā n + 41 |
|---|---|
| 1 | 41 |
| 2 | 43 |
| 3 | 47 |
| 4 | 53 |
| 5 | 61 |
| 6 | 71 |
| 7 | 83 |
| 8 | 97 |
| 9 | 113 |
| 10 | 131 |
Despite this long run of prime results, the pattern breaks at n = 41, where the polynomial equals 41² rather than a prime number:
[tex]41^2 – 41 + 41 = 41^2.[/tex]
This single counterexample demonstrates why experimental evidence, however extensive, can never substitute for a proof. Mathematical certainty requires an argument that covers every case, including the ones nobody has checked.
What Are the Main Methods of Proof?
Several proof techniques recur across mathematics, and experience helps in choosing which method fits a given problem. The three most common are direct proof, proof by contradiction, and proof by induction, each described below with a worked example.
How Does a Direct Proof Work?
A direct proof starts from the stated assumptions and proceeds logically, step by step, to the conclusion, without assuming the opposite of what is being proven.
As an example, consider proving that the square of an odd integer is always odd. An odd integer can be written in the form 2n+1. Squaring this expression gives:
[itex](2n+1)^2 = 4n^2 + 4n + 1 = 2(2n^2 + 2n) + 1.[/itex]
This result equals 2m+1 with m = 2n² + 2n, which is the general form of an odd number, so the square of an odd integer is odd.
A second direct proof example: for the linear polynomial aX + b where a ā 0, the value āb/a is a root, because substituting it back in gives zero:
[tex] a\left(\frac{-b}{a}\right) + b = \frac{-ba}{a} + b = -b + b = 0. [/tex]
How Does Proof by Contradiction Work?
Proof by contradiction assumes the negation of the statement to be proven and then derives a logical contradiction from that assumption, which shows the original statement must be true.
Consider the converse of the earlier result: if n² is odd, then n must be odd. To prove this by contradiction, assume instead that n is even, meaning n = 2k for some integer k. Then:
[itex]n^2 = (2k)^2 = 4k^2 = 2(2k^2),[/itex]
which means n² is even. This contradicts the starting assumption that n² is odd, so the assumption that n is even must be false. Therefore n must be odd.
Proof by contradiction also appears in everyday reasoning, such as solving a 2Ć2 mini sudoku where the numbers 1 and 2 must each appear once in every row and column. If the first row already contains a 1, placing a second 1 in that row would violate the rule, so assuming it were possible leads to a contradiction, meaning the remaining cell must contain 2.
How Does Proof by Induction Work?
Mathematical induction proves a statement for all natural numbers, or for all integers greater than or equal to some base value, using a two-part argument similar to toppling dominoes: a base case, and a step showing the statement passes from n to n+1.
Formally, induction requires proving two things: first, that the statement holds for a specific base value a, and second, that for every n ā„ a, if the statement holds for n, it also holds for n+1. Once both parts are established, the statement holds for every integer greater than or equal to a.
As an example, consider proving that 1 + 2 + 3 + … + n equals n(n+1)/2 for every positive integer n. The base case, n = 1, gives 1 = 1(1+1)/2, which checks out. For the induction step, assume the formula holds for n, then:
[tex] 1+2+\dots + n + (n+1) = \frac{n(n+1)}{2} + (n+1) = \frac{n^2+n + 2n + 2}{2} = \frac{(n+1)(n+2)}{2}, [/tex]
which shows the formula also holds for n+1, completing the induction.
A second example is Bernoulli’s inequality, which states that (1+x)^n ā„ 1 + nx for every integer n ā„ 0 and every real number x > ā1. The base case, n = 0, gives (1+x)ā° = 1 = 1 + 0Ā·x. For the induction step, assume (1+x)^n ā„ 1 + nx, then multiply both sides by (1+x) ā„ 0:
[tex](1+x)^{n+1} \ge (1+nx)(1+x) = 1 + (n+1)x + x^2 \ge 1 + (n+1)x,[/tex]
since x² ℠0, which completes the induction step.
How Should a Proof Be Written and Communicated?
Writing a proof clearly is a separate, learnable skill from finding the proof in the first place. The right level of detail depends on the audience: a proof written for high-school students needs more explanation than one written for research mathematicians.
A well-written proof should not consist of symbols alone. Full sentences should guide the reader through each logical step, and calculations should be accompanied by an explanation of what each step accomplishes. Heavy use of formal logic symbols such as ā or ā without any surrounding text makes a proof harder to follow. For instance, the following terse proof is technically correct but unfriendly to a reader:
[tex]n=2k+1 \Rightarrow n^2=(2k+1)^2=4k^2+4k+1 \Rightarrow \exists m: n^2=2m+1[/tex]
A clearer version of the same argument reads: “Let n = 2k + 1. Then n² = (2k+1)² = 4k² + 4k + 1 = 2(2k² + 2k) + 1, so n² has the form 2m+1 with m = 2k² + 2k, hence it is odd.”
Frequently Asked Questions
What is the difference between a formal proof and an informal proof?
A formal proof has a rigid symbolic structure with little or no natural language, making it precise but hard to read. An informal proof uses natural-language sentences alongside calculations, remaining rigorous while staying readable. Mathematicians write informal proofs in practice, even though any valid informal proof could, in principle, be converted into a formal one.
Why can’t checking many examples prove a mathematical statement?
Checking examples can never rule out a counterexample among the infinitely many cases left unchecked. The polynomial n² ā n + 41 produces a prime number for every n from 1 to 40, then fails at n = 41, where it equals 41² instead of a prime, showing why a pattern observed in examples is not a proof.
What are the two required parts of a proof by induction?
A proof by induction requires a base case, showing the statement holds for a specific starting value, and an induction step, showing that if the statement holds for n, it also holds for n+1. Together these two parts establish the statement for every integer at or above the base value.
How does proof by contradiction work?
Proof by contradiction assumes the opposite of what needs to be proven, then shows that this assumption leads to a logical impossibility. Since the assumption cannot hold, the original statement must be true. An example is proving that n must be odd if n² is odd, by assuming n is even and showing that this forces n² to be even, contradicting the premise.
How much symbolic notation should a written proof contain?
A proof should use full sentences to guide the reader through the logical steps rather than relying on symbols such as ā or ā alone. Calculations should appear alongside an explanation of what each step accomplishes, since a symbol-only proof, while technically correct, is harder for a reader to follow than one written in clear prose.
Further Reading
The Wikipedia entry on mathematical proof provides additional background and examples of proof techniques.
For guidance on writing mathematical texts clearly, see this guide to mathematical writing.
This article was authored by several Physics Forums members with PhDs in physics or mathematics.








“perhaps you should stop debating the philosophy of mathematical proofs then”
You’re the one who keeps wanted to steer the thread in this direction. Much of this thread has been a discussion of the Insights article in the first post. Later, the discussion went off on somewhat of a tangent about computers being used to prove mathematical statements.
“These Forums are not for Philosophy (which is why I always object to the term “real world”) and this should be taken off line.”
perhaps you should stop debating the philosophy of mathematical proofs then
“definitely seems as though aikismos, lavinia, and myself would enjoy from a new insights post on the philosophy of mathematical proof if we can find some qualified people!”
These Forums are not for Philosophy (which is why I always object to the term “real world”) and this should be taken off line.
definitely seems as though aikismos, lavinia, and myself would enjoy from a new insights post on the philosophy of mathematical proof if we can find some qualified people!
Hmmm. Certainly a good rebuttal about the nature of mathematical proof. Obviously, the FAQ in question is severely simplified, so maybe an intermediate FAQ could be created? My experience has been that even mathematical undergraduates often have questions about the nature of proof in math as it’s generally an aside in class and an appendix in the textbook, and that the same sort of scholastic rigor isn’t applied to examining the topic like it is in science.
Okay, you raise some good points, so let me clarify.
1) Yes, mathematical physics has embraced computation and modeling, but it does so as an abductive appendage to what is primarily an inductive pursuit, and strictly speaking mathematical models of the universe aren’t empirical science per se which traditionally moves from intersubjective observation of phenomena to predictive logical statements (obviously inseparable from set-theoretic and arithmetic relations) which are often infused with qualitative overtones for future predictions. Sure, they’re both math in one sense, but where they come from and where they arrive at are very distinct. In this way, I would say that mathematical theories and scientific theories are entirely different beasts. Scientific theories use mathematical theories as building blocks in their proof. That’s why in the popular media when famous physicists like Seth Lloyd say “the universe is a computer” or Marvin Minsky says “we may be living in a simulations”, there’s a lot of linguistic merit to what they say (because these are only analogies), but the statements are metaphysical, and NOT scientific. (Anyone who literally believes the universe is a computer, and we are software would have to prove the existence of hardware because information always exists in a medium, and if the medium is information, then another layer of regress!). Mathematical physics is like a calculator to the notebook of science and measurement of the world around us, and the nature of their proofs are still distinct. Simulation isn’t proof of causality.
2) In regards to mathematical theories, let me say that I understand your use of the term now, and I apologize for presuming you were making the simple error I referred to. Obviously you’re knowledgeable in mathematical proof. But in the sense that it tends to be used, number theory, for example, it’s just a synonym for discipline. Obviously among the mathematically literate it’s still used as you used it, and that’s to describe an overarching collection of proofs moving in a general direction or by a theme. I do accept the point that mathematical proof is completely a function of a philosophy of math and the selection of assumptions be they axioms, postulates, or first-order predicates, etc. however, the nature of what constitutes mathematical phenomena is largely been accepted in the scientific community to be a function of human cognitive states, and therefore is embodied in the mind and explored not soley through phenomenological techniques, though they still play a role, but through correlates among neurofunction as observed by fMRI, objective measures of mathematical performance, and simple introspection. (See [URL]https://en.wikipedia.org/wiki/Where_Mathematics_Comes_From[/URL]) Note also, that I make no such claim about mathematicians who seem to violate a symmetry of using science to practice math as scientists actually practice math. (Plato has cursed the philosophy of math, in the same way Aristotle cursed science, IMO.) So, yes, they are theories, but in a way, unlike a scientific theory which is true because evidence supports it, mathematical theory is true by assumption. For example, Euclidian theory is equally as relevant as non-Euclidian theories of mathematics.
3) “What you are saying is that you can deduce elliptical orbits from Newton’s Laws and certain initial conditions – as one would do with any differential equation.” No, I think that’s a mischaracterization, although I’m sympathetic to your simplification. Let me reiterate. Yes, one can deduce the model even with initial conditions, but in deduction by definition of the process itself, the initial conditions are irrelevant to the conclusion and therefore the deductive proof the model of the orbit can be proven, but that proof is mathematical and not scientific, where as using the deductive proof as a model to make a scientific prediction which can be verified against intersubjective measure is the scientific proof and is therefore much greater in scope. In this way, scientific theory (primarily the math deduction of a model) only plays a role in scientific practice of theory building.
Please let me know if this is clear, because the nature of mathematical and scientific proof are relevant to my pursuit of establishing a metaphysics of STEM which is rigorous. I’d certainly love rebuttals and rejoinders on where you draw the lines around mathematical proof.
“1) Math isn’t really considered a science anymore, and that is an old fashioned language popular during the time of Gauss. The scientific methods have diverged substantially from the mathematical methods although really both are quite severely intertwined in practice. Proof is used by science and logic and even law and argumentation, but this article is just about math proof, so no need to get all technical on the divergence of the term ‘proof’ itself.”
In fact, mathematics and theoretical physics have converged in the last century.
”
2) Theories aren’t arrived at from deduction of axioms. I think you meant theorems. The former is scientific nomenclature for assertions, while the latter is mathematical.
”
True but there are mathematical theories just as there are empirical theories. In fact, these theories are what mathematicians study – and invent. In some sense one can consider mathematics to be empirical since its theories are derived from examining mathematical phenomena – not to mention so called “real world” phenomena. As an example of a theory that is being actively researched today, take look at the theory of differential extensions of homology theories. For a classical example, look at Riemann’s theory of algebraic functions.
”
3) While Pythagorean’s Theorem can be proven from algebraic or geometric theorems, actual elliptical orbits are never deduced strictly from Newton’s laws. Strictly speaking, specific ellipses can be even in mathematical models, but elliptical orbits are physical phenomena which require initial states obtained through astronomical measurements and are actually subject to complicated gravitational fields (the two-body problem is an ideal and simple model). Then after modeling, generally physical orbits have to be checked against more measurements.”
What you are saying is that you can deduce elliptical orbits from Newton’s Laws and certain initial conditions – i.e. you are solving a differential equation.
“My complaint about this is that the proofs were done beforehand — for example, that ##pi = 4sum_{n = 0}^{infty} frac{(-1)^n}{2n + 1}## (Gregory-Liebniz series), to name just one formulation. There are many more here – [URL=’https://en.wikipedia.org/wiki/Approximations_of_%CF%80′]https://en.wikipedia.org/wiki/Approximations_of_Ļ[/URL]. The role of the computer was to to the arithmetic, not the actual proof.”
Ahhh, that clarifies what you meant when you said “being used for a proof” in the OP. You’re talking more about symbolic computation. [URL]https://en.wikipedia.org/wiki/Automated_theorem_proving[/URL] Thanks for clarifying your statement. According to ([URL]https://en.wikipedia.org/wiki/Automated_theorem_proving[/URL]), it looks like one of the first use of automation of proofs occurred in the early 1950’s. To wit:
‘In 1954, [URL=’https://en.wikipedia.org/wiki/Martin_Davis’]Martin Davis[/URL] programmed Presburger’s algorithm for a [URL=’https://en.wikipedia.org/wiki/JOHNNIAC’]JOHNNIAC[/URL] vacuum tube computer at the [URL=’https://en.wikipedia.org/wiki/Princeton_Institute_for_Advanced_Study’]Princeton Institute for Advanced Study[/URL]. According to Davis, ‘Its great triumph was to prove that the sum of two even numbers is even”‘”.
Hey, maybe the FAQ could contain a brief mention in the opening that computers are now doing the work of mathematicians?
“:) Not a stretch at all, and in fact, for two-thousand years, arguments over the nature of proof of fractions to approximate constants have raged between some math minds greater than you or I. As proof that rational approximations of irrational constants requires proof, cite me any irrational approximation, and I will show you that the value was derived from a mathematical technique PROVEN to be true.”
My complaint about this is that the proofs were done beforehand — for example, that ##pi = 4sum_{n = 0}^{infty} frac{(-1)^n}{2n + 1}## (Gregory-Liebniz series), to name just one formulation. There are many more here – [URL]https://en.wikipedia.org/wiki/Approximations_of_%CF%80[/URL]. The role of the computer was to to the arithmetic, not the actual proof.
“That’s really a stretch, IMO. There is a huge difference between a Univac-era computer cranking out the decimal digits of ##pi##, as compared to a computer tabulating all possible ways that a map could be colored using four colors.”
:) Not a stretch at all, and in fact, for two-thousand years, arguments over the nature of proof of fractions to approximate constants have raged between some math minds greater than you or I. As proof that rational approximations of irrational constants requires proof, cite me any irrational approximation, and I will show you that the value was derived from a mathematical technique PROVEN to be true. Now granted we don’t teach them in school (and hence our lack of familiarity with the thousands of proofs used to find values for pi), but our ignorance doesn’t imply that those proofs don’t exist (they clearly do and are argued like any other) or that they are irrelevant (science relies heavily on math constants for their calculations). When anyone says that pi is about 3.1415, it’s not an assumption, but a proven approximation. Both Karl Gauss and Leonard Euler devised proofs for approximations of pi. Of course, if you’re suggesting your views on proof bear more weight, than I can respect your self-confidence. ;) Perhaps you’re just biased towards proofs in discrete mathematics over real analysis?
Oh, and to show you that the approximation of pi relies on a mathematical proof, here’s an interesting case where a crank almost got a wrong value of pi passed as state law in the US. (To be fair the legislators were in Indiana). You may have never thought about it, and it may not give you the warm fuzzies, but fractions to approximate irrational values aren’t picked out of a hat. They’re proven with algebraic axioms to be true. :D [URL]https://en.wikipedia.org/wiki/Indiana_Pi_Bill[/URL]
“Technically speaking, the approximation of irrational values to rational ones (such as those historically used as constants in calculations involving Pi) ARE theorems.”
That’s really a stretch, IMO. There is a huge difference between a Univac-era computer cranking out the decimal digits of ##pi##, as compared to a computer tabulating all possible ways that a map could be colored using four colors.
“I was talking about using computers in proofs of theorems, not for calculating numbers, such as the digits of ##pi##.”
Technically speaking, the approximation of irrational values to rational ones (such as those historically used as constants in calculations involving Pi) ARE theorems.
“The first time that I recall computers being used for a proof was back in the mid-70s, in the Four Color Problem.”
[quote=aikismos]I’m pretty sure that computerized proofs go back to mechanical computers computing Pi. [/quote]I was talking about using computers in proofs of theorems, not for calculating numbers, such as the digits of ##pi##.
“Go ahead and start one, if you like. The first time that I recall computers being used for a proof was back in the mid-70s, in the Four Color Problem.”
I’m pretty sure that computerized proofs go back to mechanical computers computing Pi. If you’d like… I have a simple but informative source and could find this if you’d like.
“A concise and clear description of what a proof is.
1) One might add that proof is used in all scientific theories. The difference in mathematics is that proof gives certainty while in other sciences it does not. All theories deduce conclusions from axioms. Just as the Pythagorean theorem may be deduced from the axioms of Euclidean geometry so can elliptical orbits of a two body system be deduced from Newton’s Laws. Proof is not unique to mathematics.
2) I think this sentence is badly stated.
“This reasoning goes against the heart of mathematics. In mathematics, we donāt just want the statement to hold for āmost casesā, we want to make the statement work for āall casesā. Mathematics tries to provide results that are 100% true or 100% false. A result that holds for āmost casesā is uninteresting (unless one can rigorously define what āmost casesā means).”
Any theory wants to define conditions in which certain principles hold always.”
1) Math isn’t really considered a science anymore, and that is an old fashioned language popular during the time of Gauss. The scientific methods have diverged substantially from the mathematical methods although really both are quite severely intertwined in practice. Proof is used by science and logic and even law and argumentation, but this article is just about math proof, so no need to get all technical on the divergence of the term ‘proof’ itself.
2) Theories aren’t arrived at from deduction of axioms. I think you meant theorems. The former is scientific nomenclature for assertions, while the latter is mathematical.
3) While Pythagorean’s Theorem can be proven from algebraic or geometric theorems, actual elliptical orbits are never deduced strictly from Newton’s laws. Strictly speaking, specific ellipses can be even in mathematical models, but elliptical orbits are physical phenomena which require initial states obtained through astronomical measurements and are actually subject to complicated gravitational fields (the two-body problem is an ideal and simple model). Then after modeling, generally physical orbits have to be checked against more measurements.
4) “This reasoning goes against the heart of mathematics. In mathematics, we donāt just want the statement to hold for āmost casesā, we want to make the statement work for āall casesā. Mathematics tries to provide results that are 100% true or 100% false. A result that holds for āmost casesā is uninteresting (unless one can rigorously define what āmost casesā means).” – I think that given the target audience, this sentence is fair with the caveat that we obviously redefine our domains to make our statement (entirely) true or false. Once you start saying 100%, then we’re moving into fuzzy sets!
A concise and clear description of what a proof is.
1) One might add that proof is used in all scientific theories. The difference in mathematics is that proof gives certainty while in other sciences it does not. All theories deduce conclusions from axioms. Just as the Pythagorean theorem may be deduced from the axioms of Euclidean geometry so can elliptical orbits of a two body system be deduced from Newton’s Laws. Proof is not unique to mathematics.
2) I think this sentence is badly stated.
“This reasoning goes against the heart of mathematics. In mathematics, we donāt just want the statement to hold for āmost casesā, we want to make the statement work for āall casesā. Mathematics tries to provide results that are 100% true or 100% false. A result that holds for āmost casesā is uninteresting (unless one can rigorously define what āmost casesā means).”
Any theory wants to define conditions in which certain principles hold always.
“Mark44 got mad at me (reasonably, I think) for making the thread somewhat off topic. If somebody wants to create a new thread which discusses the merits of proof in the 21st century world of big data and supercomputers, I would love to have that discussion.”
Go ahead and start one, if you like. The first time that I recall computers being used for a proof was back in the mid-70s, in the Four Color Problem.
Mark44 got mad at me (reasonably, I think) for making the thread somewhat off topic. If somebody wants to create a new thread which discusses the merits of proof in the 21st century world of big data and supercomputers, I would love to have that discussion.
“I believe it is “Bernoulli” instead of “Bernouilly”.”
I agree. [USER=205308]@micromass[/USER], [USER=211768]@bcrowell[/USER], or [USER=13785]@mathwonk[/USER], one of you might want to take care of this.
“doesn’t searching for problems where it is possible to obtain a binary true or false answer severely limit the problems you can look at?[/quote]Every question that has a non-binary answer, such as ‘What is the value of ##e^{ipi}##?’, when given an answer, has a supplementary question: ‘How do you know?’, to which the answer is a proof.
Indeed, in a sense a proof is an answer to the question ‘How do you know that P?’ where P is some proposition. That is a non-binary question. Yes or No doesn’t cut it as a proof.
[quote]it seems as though the vast majority of problems will be “unprovable.””I personally feel that is right, because of some vague, unformed connection to Godel’s First Incompleteness Theorem. But it’s just a feeling and, since the set of possible propositions is infinite, and the subsets that are provable and unprovable given any given logical language and set of non-logical axioms, both have cardinality ##aleph_0##, it’s not clear what we could mean by ‘the vast majority’.
“doesn’t searching for problems where it is possible to obtain a binary true or false answer severely limit the problems you can look at?
[/quote]So what? You’re missing the point of this article, which is a short description of some types of proofs in mathematics. Each proof justifies a given statement in mathematics, which is either true or false. A proof gives us confidence that the statement is true.
“Any problem that has a real-valued numeric answer can, in principle, be answered by posing an infinite sequence of yes or no questions. This is one of the ways that the computability of a real number is phrased within the mathematics of computing.
Since the number of finitely expressible problems is countably infinite, the notion of a “majority” is not clear cut. But yes, not all problems can be solved.”
I don’t care about “in principle”, I want in practice, and any definition of the space of possible problems which is not finite is meaningless since we’re only interested in a) the space of problems at a fixed point in time and b) problems which exceed a certain cutoff in interest.
“doesn’t searching for problems where it is possible to obtain a binary true or false answer severely limit the problems you can look at?
”
Any problem that has a real-valued numeric answer can, in principle, be answered by posing an infinite sequence of yes or no questions. This is one of the ways that the computability of a real number is phrased within the mathematics of computing.
“it seems as though the vast majority of problems will be “unprovable.””
Since the number of finitely expressible problems is countably infinite, the notion of a “majority” is not clear cut. But yes, not all problems can be solved.
There appears to be a typo in…
”
Proof by induction
A proof by induction is often used when we have to proof something for all natural numbers. The idea behind the proof by contradiction is that of falling dominoes.
“
Nice article. I like the list of tips in the linked text by Knuth et al too. I’ll read more of it at my leisure to try to improve my writing. I’ve a couple of comments:
For me the worst flaw in proof writing is when the writer does not explain their steps. For example the justification for getting from one line to the next may be a result that was observed briefly in passing 20 pages ago and has not been mentioned since, but the author doesn’t reference it so the reader is left feeling stupid because they don’t remember the result and can’t understand how the step is justified. A number of widely-used physics texts do this frequently and I think it’s very poor. This is one area where reading symbolic logic proofs can actually be easier than reading some more wordy mathematical ones, because it is a requirement of a symbolic logic proof that the justification of every line be formally stated.
The reason that many authors omit such justification is that it’s a lot of work to insert all the correct references. But for every two minutes that an author saves herself by not locating and inserting the justification ref, she has cost her readers collectively dozens, maybe hundreds of hours (depending on how many readers there are!) racking their brains and leafing through the book trying to work out the justification.
Numbering all non-trivial equations is one way to make it much easier to include such refs.
Knuth et al suggest varying one’s words in order to avoid monotony. For instance one might alternate ‘so’, ‘hence’, ‘therefore’, ‘it follows that’. My practice in the past has been to do that but now I am questioning it. One doesn’t read maths proofs for the beauty of their prose (that’s what poetry and fiction are for) but to gain understanding, and unnecessarily varying the terms used seems to me to be more likely to detract from understanding than to support it. A problem that sometimes arises is that, in the search for synonyms, the writer ends up using a word that has alternative possible meanings, and hence introduces ambiguity into the text. This is a matter for judgement and I imagine that there’s a sweet spot somewhere between the extremes of always using the same word and avoiding using the same key word twice in a paragraph. Currently I find I’m steering away from variety towards greater consistency and clarity in word choice, relative to where I was.
“In logic, we often work with āformal proofsā. These are proofs with a very rigid structure and contain only symbols and not words. They are often quite difficult to read. In theory all proofs should be āformal proofsā, but this would be unmanageable. Instead, mathematicians write informal proofs that are easy to read, but still convincing enough.”That passage might make sense to a person who understands that "logic" refers to a specialized discipline. However, in mathematics, I disagree with using terminology "formal proof" to mean a proof that only uses symbols. The FAQ is useful to someone wanting to know "What is a proof?" It doesn't provide practical guidance to people who want to know "How do I do a proof?".
1) You say "There are actually two separate skills that one must master: finding the proof and communicating the proof." and that you focus on the former, but really, you're focusing on the later. Devising mathematical proofs (which usually involves abduction and often empirical calculation these days) isn't really covered in the article at all.2) You might also want to revise "A proof is a convincing statement" to say collection of statements to which logic is applied to arrive at a true conclusion. I've never seen a proof that is a single statement.3) "By its very nature, a proof uses deductive reasoning and not empirical arguments." Proof is not strictly deductive in nature (see your article where you cite example and description of proof by induction). In fact, I think you might want to revise the article to contain Proof by Exhaustion as it is often used in education to show simple cases or is a part of larger proofs. It would be prudent to include the word counter-example in your example of the equation 412ā41+41=412. Euclid didn't even do most of his research deductively. It's more of a communicational and didactic tool to use deduction than actual research math (which is way more creative and less constrictive than deduction).4) You might want to compare examples of a paragraph proof, two-column proof, and flow proof if you're trying to help math newbies understand the nature of proof. Most newbies are sloshed around different classes which may ask them to do each.Overall, a good start on a useful FAQ!
I believe it is "Bernoulli" instead of "Bernouilly".
doesn't searching for problems where it is possible to obtain a binary true or false answer severely limit the problems you can look at?it seems as though the vast majority of problems will be "unprovable."