Edge Rewrite
// HTMLRewriter · presentation

This page was redesigned at the edge.

Cloudflare fetched the original article and streamed it through HTMLRewriter to apply an entirely new visual system without rebuilding the source page.

// request.cf · coarse context

A page that knows where it met you.

Only coarse request metadata is shown. This demo does not display or persist visitor IP addresses.

Country
US
Cloudflare location
CMH
Connection
HTTP/2
Language
Not provided

Ray ID: a22d029c1946c526

Jump to content

// Workers AI · dad joke modeWhat did "How to Solve It" say to the math book? "Let's problem solve our differences.

From Wikipedia, the free encyclopedia
(Redirected from How to solve it)
How to Solve It: A New Aspect of Mathematical Method
Cover of first edition
AuthorGeorge Pólya
GenreMathematics, problem solving
PublisherPrinceton University Press
Publication date1945
Media typehardcover, paperback
Pages204
Followed byMathematics and Plausible Reasoning (1954) 

How to Solve It is a guide to problem solving by mathematician George Pólya. Originally published by Princeton University Press in 1945, a second edition was released by Doubleday in 1957, and the book has been reissued several times since.[1] In the preface to the first edition, Pólya said he wrote the book primarily for teachers and students of mathematics, and the examples are taken from elementary algebra and geometry. However, How to Solve It was later embraced by other disciplines for its clear explanations of heuristics and problem-solving strategies such as induction, analogy, specialization, and working backwards.[2] The book has been translated into more than 15 languages and sold over a million copies, "making it one of the most widely circulated mathematics books in history."[3]

Four phases

[edit source]

Pólya begins with a two-page checklist that identifies four phases to solving a mathematical problem:[4]

  1. Understand the problem.
  2. Make a plan.
  3. Carry out the plan.
  4. Look back.[5]

He emphasizes that the divisions between phases are not rigid, and it is important to be flexible in one's approach:

Trying to find the solution, we may repeatedly change our point of view, our way of looking at the problem. We have to shift our position again and again. Our conception of the problem is likely to be rather incomplete when we start the work; our outlook is different when we have made some progress; it is again different when we have almost obtained the solution.[6]

First phase: Understand the problem

[edit source]

Pólya writes that students are often stymied in their efforts to solve a problem simply because they do not understand it fully. To address this situation, he recommends that the teacher prompt students with a series of questions which will lead them to a deeper grasp of the problem.[7] He says the key initial questions to ask are: "What is the unknown?", "What are the data?", and "What is the condition?" (meaning, "By what condition is the unknown linked to the data?").[8]

Other suggested questions include:

  • Do you understand all the words in the verbal statement of the problem?
  • Can you restate the problem in your own words?
  • Can you draw a figure that illustrates the unknown and the data?
  • Is it a reasonable problem, i.e., is the condition sufficient to determine the unknown?[9]

Second phase: Devise a plan

[edit source]

Pólya considers this the most important and challenging phase, acknowledging that the process of devising a workable plan "may be long and tortuous":

[T]he main achievement in the solution of a problem is to conceive the idea of a plan. This idea may emerge gradually. Or, after apparently unsuccessful trials and a period of hesitation, it may occur suddenly, in a flash, as a "bright idea". The best that the teacher can do for the student is to procure for him, by unobtrusive help, a bright idea.[10]

The bulk of the book is devoted to offering suggestions to stimulate such an idea. Among the listed suggestions (and these are covered in more detail in the book's heuristics dictionary) are:

  • Guess and test[11]
  • Solve a related but simpler problem[12]
  • Use symmetry, i.e., look for interchangeable parts in the problem[13]
  • Use a model[14]
  • Look for a pattern[15][16]
  • Examine special cases[17]
  • Work backwards[18]
  • Be creative[19]

Pólya adds that applying these suggestions requires skill and judgment, which is best learned by solving many problems. He emphasizes the role of the teacher who should pose questions that help students devise plans. Pólya differentiates between asking a thought-provoking question such as "Do you know a related problem?" versus asking a leading question such as "Could you apply the theorem of Pythagoras?"[20] In his view, the latter question, though well-intentioned, is not instructive because the student does not know how the teacher arrived at it.[20]

Third phase: Carry out the plan

[edit source]

Pólya regards this phase as markedly easier than devising a plan. What is mainly needed is patience:

The plan gives a general outline; we have to convince ourselves that the details fit into the outline, and so we have to examine the details one after the other, patiently, till everything is perfectly clear, and no obscure corner remains in which an error could be hidden.[21]

Fourth phase: Look back

[edit source]

After students solve a problem, Pólya urges them to pause and examine the result and the process which led to it. First, check the answer to ensure it makes sense in the context of the problem. Does the solution use all the data that was given?[22] Students should explore whether an alternative strategy might have been used. They should verify the solution by double-checking their calculations and reasoning.

Pólya also advocates taking time to reflect on what was done, what worked and what did not, what could have been done better, and other problems where this solution might be useful.[23] Doing so will enable the student to choose an appropriate strategy for future problems that resemble the current one.

Heuristics dictionary

[edit source]

The book's largest section consists of a heuristics dictionary. It contains 67 entries with suggestions "for making progress on difficult problems".[24] Many suggestions are aimed at finding a more accessible, related problem when a student is struggling to solve the original problem.[25] For example:

HeuristicInformal Description
AnalogyCan you find a problem analogous to your problem and solve that?
Auxiliary elementsCan you add some new element to your problem to get closer to a solution?
Auxiliary problemCan you find a subproblem or side problem whose solution will help you solve your problem?
Decomposing and recombiningCan you decompose the problem and "recombine its elements in some new manner"?
Draw a figureCan you draw a picture of the problem?
GeneralizationCan you find a problem more general than your problem?
Here is a problem related to yours and solved beforeCan you find a problem related to yours that has already been solved and use that to solve your problem?
Induction and mathematical inductionCan you solve your problem by deriving a generalization from some examples?
Reductio ad absurdum and indirect proofCan you show the falsity of an assumption by deriving from it a manifest absurdity? Conversely, can you prove the truth of an assertion by showing the falsity of the opposite assumption?
SpecializationCan you find a problem more specialized? For instance, what if the given value was zero, would that shed light on the problem?
Variation of the problemCan you vary or change your problem to create a new problem (or set of problems) whose solution(s) will help you solve your original problem?
Working backwardsCan you start with the goal and work backwards to something you already know?

Reception

[edit source]

Pólya's book was praised for its usefulness in mathematics education and in education more broadly. The Mathematical Gazette said the book was "primarily for students and teachers of mathematics, but it might interest any educated teacher of any subject which does not consist in the mere accumulation of knowledge. Its appeal would perhaps be greatest at the Training College level, and although it contains very little that a good teacher would not discover for himself, it might very well accelerate the process of discovery."[26] E. T. Bell labeled the book "an instructive exposition of the heuristic method applied to the solution of problems in elementary mathematics.... If heuristic is no longer taught, How to Solve It may supply the deficiency. Every prospective teacher should read it."[27] In a thumbnail review in the Chicago Tribune, How to Solve It was called "a disarmingly elementary book on the solution of problems. Largely illustrated by mathematics, but method is applicable in principle to problems in science, engineering, or social work. Of great value to every one."[28]

In American Journal of Psychology, A. C. Schaeffer wrote:

Instead of allowing the student to search blindly and without a plan or method, Pólya shows how he may be led quite naturally to a solution through the kind of heuristic procedure which he found in a hint given by the Greek mathematician Pappus (ca. 300 A.D.), a hint which has served to solve, as the author says, many difficult and baffling problems. The work may be read with profit by students and researchers in mathematics and in some of the physical sciences. In fact, any young person seeking a career in the sciences would do well to ponder this important contribution to the teacher's art.[29]

Influence

[edit source]

Mathematics Professor Alan H. Schoenfeld wrote in 1987 that the increased interest at the time in the area of problem solving, and in finding ways to teach it effectively, owed a big debt to How to Solve It.[24][30] He pointed out that in the prior five years alone, the book had been cited in journals as diverse as American Political Science Review, Annual Review of Psychology, Artificial Intelligence, Computers and Chemistry, Computers and Education, Discourse Processes, Educational Leadership, Higher Education, and Human Learning.[24]

But not all were convinced of the practical benefits of Pólya's heuristic strategies. Schoenfeld did not consider the strategies sufficient for his undergraduate math students working on non-routine problems. He argued that domain-specific knowledge and "mathematical sophistication" were also essential.[31][32] From his observations of students attempting to utilize How to Solve It, Schoenfeld noticed they were often confused as to which among the dozens of Pólya's heuristic strategies should be chosen for a particular problem.[32]

AI pioneers Allen Newell and Marvin Minsky praised Pólya for reviving the field of heuristics.[33] In his 1960 paper, "Steps Toward Artificial Intelligence", Minsky wrote that "everyone should know the work of George Pólya on how to solve problems."[34]

In the 1960s and '70s, Soviet engineer Genrich Altshuller developed a methodology, known as the Theory of Inventive Problem Solving (or TRIZ from the Russian abbreviation), which in many aspects paralleled Pólya's work but was more oriented toward solving engineering problems.[35]

How to Solve It became a valued debugging guide for computer programmers. In 1982, R. G. Dromey wrote How to Solve it by Computer, a computer science textbook dedicated to and inspired by Pólya. In his Preface, Dromey stated, "there was a definite need for a book written in the spirit of Pólya's work, but translated into the computing science context."[36] In a 1980s interview at Microsoft, Charles Simonyi said that "Programmers get a couple of books on their first day here. One of them, called How to Solve It, is by George Pólya, the mathematician. [Simonyi takes the book from a bookcase next to his desk and opens it to a certain page.] These two pages are important [note: he's referring to the two-page checklist at the start of the book]. The rest of the book just elaborates on these two pages. This is like a checklist for problem solving."[37]

See also

[edit source]
  1. "How to Solve It". Penguin Books. December 2023.
  2. "How to Solve It". Princeton University Press. October 2019.
  3. Dembart, Lee (September 8, 1985). "George Polya, 97, Dean of Mathematicians, Dies". Los Angeles Times.
  4. Pólya 1957, pp. xvi–xvii.
  5. Pólya 1957, pp. 6–15.
  6. Pólya 1957, p. 5.
  7. Pólya 1957, p. 33.
  8. Pólya 1957, p. 214.
  9. Pólya 1957, pp. 6–8.
  10. Pólya 1957, pp. 8–9.
  11. Pólya 1957, p. 99.
  12. Pólya 1957, p. 114: "try to solve first some related problem; then you may find courage to attack your original problem again. Do not forget that human superiority consists in going around an obstacle that cannot be overcome directly".
  13. Pólya 1957, p. 199.
  14. Pólya 1957 p. 105, pp. 29–32. Pólya discusses a rate problem involving water flowing into a conical vessel as an example of using a model to visualize and solve a problem.
  15. Pólya 1957, pp. 82, 120.
  16. "5.2: George Pólya's Strategy". Mathematics Library. LibreTexts. August 21, 2024.
  17. Pólya 1957, pp. 191–196.
  18. Pólya 1957, p. 225.
  19. Pólya 1957 p. 172, 197–198. Pólya argues that discovery and invention require patience; one must be willing to wait until a bright idea appears, sometimes subconsciously.
  20. 1 2 Pólya 1957, p. 22.
  21. Pólya 1957, pp. 12–13.
  22. Pólya 1957, p. 16.
  23. Pólya 1957, pp. 14–16, 36.
  24. 1 2 3 Schoenfeld, Alan H. (December 1987). "Pólya, Problem Solving, and Education". Mathematics Magazine. Vol. 60, no. 5. pp. 283–291. JSTOR 2690409.
  25. Pólya 1957, p. 114.
  26. Robson, A. (July 1946). "Reviewed Work: How to Solve It by G. Pólya". The Mathematical Gazette. 30 (290): 181–82. JSTOR 3609122.
  27. Bell, E. T. (December 1945). "Reviewed Work: How to Solve It: A New Aspect of Mathematical Method by G. Pólya". The American Mathematical Monthly. 52 (10): 575. JSTOR 2306109.
  28. "Technical Books". Chicago Tribune. June 16, 1946. p. 58 via Newspapers.com.
  29. Schaeffer, A. C. (April 1946). "Reviewed Work: How to Solve It; A New Aspect of Mathematical Method by G. Pólya". American Journal of Psychology. 59 (2): 331–32. JSTOR 1416910.
  30. Schoenfeld, Alan H. (1992). D. Grouws (ed.). "Learning to think mathematically: Problem solving, metacognition, and sense-making in mathematics" (PDF). Handbook for Research on Mathematics Teaching and Learning. New York: Macmillan: 334–370. Archived from the original (PDF) on 2013-12-03. Retrieved 2013-11-27. Pólya is "the mathematician best known for his conceptualization of mathematics as problem solving and for his work in making problem solving the focus of mathematics instruction".
  31. Wilson, James W.; Fernandez, Maria L.; Hadaway, Nelda (1993). "Mathematical Problem Solving". University of Georgia via Academia.edu.
  32. 1 2 Schoenfeld, Alan H. (December 1980). "Teaching Problem-Solving Skills". American Mathematical Monthly. 87 (10): 794–805. JSTOR 2320787.
  33. Newell, Allen (July 1981). "The Heuristic of George Pólya and Its Relation to Artificial Intelligence" (PDF). Department of Computer Science, Carnegie-Mellon University. Paper delivered by Newell at the International Symposium on the Methods of Heuristic, held in Bern, Switzerland, September 15-18, 1980.
  34. Minsky, Marvin (October 1960). "Steps Toward Artificial Intelligence". Archived from the original on 2008-12-31. Retrieved 2006-05-17.
  35. Savransky, Semyon D. (2000). Engineering of Creativity: Introduction to TRIZ Methodology of Inventive Problem Solving. CRC Press. p. 303. ISBN 978-0849322556.
  36. Dromey, R. G. (1982). "Preface". How to Solve it by Computer. Prentice-Hall International. p. xiii. ISBN 978-0134339955.
  37. Lammers, Susan M., ed. (1986). "Charles Simonyi". Programmers at Work: Interviews. Redmond, Washington: Microsoft Press. p. 18. ISBN 978-0914845713.

References

[edit source]
[edit source]