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Mathematica a secret world of intuition and curiosity

A fascinating look into how the transformative joys of mathematical experience are available to everyone, not just specialists Math has a reputation for being inaccessible. People think that it requires a special gift or that comprehension is a matter of genes. Yet the greatest mathematicians throug...

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Main Author: Bessis, David, 1971- (Author)
Other Authors: Frey, Kevin (Translator) (Translator)
Format: Books Print Book
Language:English
French
Published: New Haven ; London : Yale University Press, [2024]
Subjects:
Mathematics > Philosophy.
Intuition.
Mathematics > Psychological aspects.
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Summary:A fascinating look into how the transformative joys of mathematical experience are available to everyone, not just specialists Math has a reputation for being inaccessible. People think that it requires a special gift or that comprehension is a matter of genes. Yet the greatest mathematicians throughout history, from René Descartes to Alexander Grothendieck, have insisted that this is not the case. Like Albert Einstein, who famously claimed to have "no special talent," they said that they had accomplished what they did using ordinary human doubts, weaknesses, curiosity, and imagination. David Bessis offers an illuminating guide toward deeper mathematical comprehension and reconnects us with the mental plasticity we experienced as children. With simple, concrete examples, Bessis shows how mathematical comprehension is integral to the great learning milestones of life, such as learning to see, to speak, to walk, and to eat with a spoon. Focusing on the deeply human roots of mathematics, Bessis dispels the myths of mathematical genius and offers an engaging initiation into the experience of math not as a series of discouragingly incomprehensible logic problems but as a physical activity akin to yoga, meditation, or a martial art. He opens the door to changing the way you think not only about math but about intelligence, intuition, and everything that goes on inside your head.
Physical Description:viii, 330 pages : illustrations ; 23 cm
Bibliography:Includes bibliographical references (pages 299-314) and index (pages 319-330).
ISBN:9780300270884
0300270887
Author Notes:David Bessis received his PhD in pure mathematics from University Paris-Cité. After a career at Yale University, CNRS, and École normale supérieure (with research topics in algebra, geometry, and topology), his interests shifted from pure mathematics to machine learning, leading him to establish a technology company in this field. He lives in Paris, France. Kevin Frey received a PhD in English from the State University of New York at Stony Brook. He lives in Kaneohe, HI.

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