Math Without Numbers

· Saltzailea: Penguin
4,5
8 iritzi
Liburu elektronikoa
208
orri
Egokia

Liburu elektroniko honi buruz

An illustrated tour of the structures and patterns we call "math"

The only numbers in this book are the page numbers.

Math Without Numbers is a vivid, conversational, and wholly original guide to the three main branches of abstract math—topology, analysis, and algebra—which turn out to be surprisingly easy to grasp. This book upends the conventional approach to math, inviting you to think creatively about shape and dimension, the infinite and infinitesimal, symmetries, proofs, and how these concepts all fit together. What awaits readers is a freewheeling tour of the inimitable joys and unsolved mysteries of this curiously powerful subject.

Like the classic math allegory Flatland, first published over a century ago, or Douglas Hofstadter's Godel, Escher, Bach forty years ago, there has never been a math book quite like Math Without Numbers. So many popularizations of math have dwelt on numbers like pi or zero or infinity. This book goes well beyond to questions such as: How many shapes are there? Is anything bigger than infinity? And is math even true? Milo Beckman shows why math is mostly just pattern recognition and how it keeps on surprising us with unexpected, useful connections to the real world.

The ambitions of this book take a special kind of author. An inventive, original thinker pursuing his calling with jubilant passion. A prodigy. Milo Beckman completed the graduate-level course sequence in mathematics at age sixteen, when he was a sophomore at Harvard; while writing this book, he was studying the philosophical foundations of physics at Columbia under Brian Greene, among others.

Balorazioak eta iritziak

4,5
8 iritzi

Egileari buruz

Milo Beckman has been addicted to math since a young age. Born in Manhattan in 1995, he began taking math classes at Stuyvesant High School at age eight and was captain of the New York City Math Team by age thirteen. His diverse projects and independent research have been featured in the New York Times, FiveThirtyEight, Good Morning America, Salon, the Huffington Post, the Chronicle of Higher Education, Business Insider, the Boston Globe, Gothamist, the Economist, and others. He worked for three tech companies, two banks, and a US senator before retiring at age nineteen to teach math in New York, China, and Brazil, and to work on this book.

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