| Titre : |
Symmetry in Chaos : A search for pattern in mathematics art and nature |
| Type de document : |
texte imprimé |
| Auteurs : |
Michael Field, Auteur ; Martin Golubitsky, Auteur |
| Editeur : |
Oxford University Press |
| ISBN/ISSN/EAN : |
978-0-19-853688-8 |
| Langues : |
Anglais (eng) |
| Catégories : |
Informatique
Informatique:Systèmes
|
| Index. décimale : |
003 Les Systèmes |
| Résumé : |
Chaotic dynamics (known popularly as chaos theory or, more simply, chaos) is among the most fascinating new fields in modern science, revolutionizing our understanding of order and pattern in nature. Symmetry, a traditional and highly developed area of mathematics, would seem to lie at the opposite end of the spectrum. From the branching of trees to the rose windows of great cathedrals, symmetric patterns seem the antithesis of such chaotic systems as weather patterns. And yet, scientists are now finding connections between these two areas, connections which could have profound consequences for our understanding of the physical world. In Symmetry in Chaos, mathematicians Michael Field and Martin Golubitsky offer an engaging look at where these two fields meet. In the process, they have generated mathematically a series of stunning computer images linking symmetry and chaos. |
Symmetry in Chaos : A search for pattern in mathematics art and nature [texte imprimé] / Michael Field, Auteur ; Martin Golubitsky, Auteur . - [S.l.] : Oxford University Press, [s.d.]. ISBN : 978-0-19-853688-8 Langues : Anglais ( eng)
| Catégories : |
Informatique
Informatique:Systèmes
|
| Index. décimale : |
003 Les Systèmes |
| Résumé : |
Chaotic dynamics (known popularly as chaos theory or, more simply, chaos) is among the most fascinating new fields in modern science, revolutionizing our understanding of order and pattern in nature. Symmetry, a traditional and highly developed area of mathematics, would seem to lie at the opposite end of the spectrum. From the branching of trees to the rose windows of great cathedrals, symmetric patterns seem the antithesis of such chaotic systems as weather patterns. And yet, scientists are now finding connections between these two areas, connections which could have profound consequences for our understanding of the physical world. In Symmetry in Chaos, mathematicians Michael Field and Martin Golubitsky offer an engaging look at where these two fields meet. In the process, they have generated mathematically a series of stunning computer images linking symmetry and chaos. |
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