From Cosmos to Chaos: The Science of Unpredictability
and over one million other books are available for Amazon Kindle .
Learn more
| ||||||||||||||||||||
Did you know you can trade in your old books for an Amazon.co.uk Gift Card to spend on the things you want? Plus, get an extra £5 Gift Certificate when you trade in books worth £10 or more before June 30, 2012. Visit the Books Trade-In Store for more details. |
Product details
|
More About the Author
Product Description
Review
...the refreshingly opinionated writing of Peter Coles in 'From Cosmos to Chaos'. This is really a book about probability theory and its application to different branches of science, but Coles is a Professor of Astrophysics, and cosmology is one of the most evident strengths of his book.
...[a] very readable book. (Zentralblatt Math 1099-115 )
...the book provides a truly enjoyable overview of the role of probability in science, as well as in everyday life. It is aimed essentially at non-specialist readers, but even those who are familiar with its contents will enjoy the stimulating presentation. (Nature, Vol. 443, October 2006 )
...refreshingly opinionated writing... (Jim Bennett, Times Literary Supplement )
...[a] very readable book. (Zentralblatt Math 1099-115 )
...the book provides a truly enjoyable overview of the role of probability in science, as well as in everyday life. It is aimed essentially at non-specialist readers, but even those who are familiar with its contents will enjoy the stimulating presentation. (Nature, Vol. 443, October 2006 )
...refreshingly opinionated writing... (Jim Bennett, Times Literary Supplement )
Product Description
Cosmology has undergone a revolution in recent years. The exciting interplay between astronomy and fundamental physics has led to dramatic revelations, including the existence of the dark matter and the dark energy that appear to dominate our cosmos. But these discoveries only reveal themselves through small effects in noisy experimental data. Dealing with such observations requires the careful application of probability and statistics. But it is not only in the arcane world of fundamental physics that probability theory plays such an important role. It has an impact in many aspects of our everyday life, from the law courts to the lottery. Why then do so few people understand probability? And why do so few people understand why it is so important for science? Why do so many people think that science is about absolute certainty when, at its core, it is actually dominated by uncertainty? This book attempts to explain the basics of probability theory, and illustrate their application across the entire spectrum of science.
Inside This Book
(Learn More)
Front Cover | Copyright | Table of Contents | Excerpt | Index | Back Cover
Explore More
Concordance
Browse Sample PagesConcordance
Front Cover | Copyright | Table of Contents | Excerpt | Index | Back Cover
Tag this product(What's this?)Think of a tag as a keyword or label you consider is strongly related to this product.
Tags will help all customers organise and find favourite items. |
Customer Reviews
There are no customer reviews yet on Amazon.co.uk.
5 star
4 star
3 star
2 star
1 star
Most Helpful Customer Reviews on Amazon.com (beta)
Amazon.com:
2 reviews
1 of 1 people found the following review helpful
Probability considered within a cross-section of physics and cosmology
15 Nov 2010
Format:Paperback|Amazon Verified Purchase
The astronomer author sets out "to cut a broad swathe through the physical sciences" emphasizing how they relate to probability. He succeeds in creating a well-written and interesting book, treating a range of topics which the author himself has clearly thought about carefully. It is more sophisticated than most popular science books, both in writing style and by including occasional equations, but it is still accessible to the motivated reader.
Two thirds might be described as "standard" topics, but the author often presents some slightly novel angle. For instance, the brief history of probability naturally focuses on astronomers and physicists, e.g. Gauss and least squares. For elementary mathematics of probability, a routine discussion of poker deal probabilities is followed by a more elaborate analysis of finesse-or-drop in bridge. A 23 page chapter outlines some less elementary mathematics of probability (Markov chains, computer simulation, Kolmogorov complexity, chaos, the first digit law, random point processes being more clustered than untutored intuition suggests, Brownian motion) in admirably concise yet informative style. Turning to physics, there are three remarkably lucid chapters which contain more solid content than most non-mathematical treatments. One on statistical mechanics and entropy, another on quantum theory, and the third on the standard theory surrounding the Big Bang. Probability enters into the latter because random spatial density fluctuations in the early universe are presumably responsible for the later emergence of structure.
The other third of the book is a thread starting from the classic frequentist-Bayesian debate, moving through the "maximum entropy" principle (well established in a statistical mechanics context) for choosing Bayes priors where little information is available, and ending (Chapters 9 and 10) with frankly speculative material on the theme of the observable Universe as one random realization of many possible (or one amongst many existing but unobservable) other Universes, thereby seeking to infer something from Bayes rule. The latter leads to technical topics such as a prior distribution on the matter density parameter Omega; and to more philosophical ones such as the Anthropic principle, via the Fermi paradox and the Doomsday argument. Most scientists (and I) are skeptical of such topics, regarding them as based on inventing priors on mathematical-philosophical rather than scientific grounds, but motivated readers will find it interesting to ponder the arguments for themselves.
Two thirds might be described as "standard" topics, but the author often presents some slightly novel angle. For instance, the brief history of probability naturally focuses on astronomers and physicists, e.g. Gauss and least squares. For elementary mathematics of probability, a routine discussion of poker deal probabilities is followed by a more elaborate analysis of finesse-or-drop in bridge. A 23 page chapter outlines some less elementary mathematics of probability (Markov chains, computer simulation, Kolmogorov complexity, chaos, the first digit law, random point processes being more clustered than untutored intuition suggests, Brownian motion) in admirably concise yet informative style. Turning to physics, there are three remarkably lucid chapters which contain more solid content than most non-mathematical treatments. One on statistical mechanics and entropy, another on quantum theory, and the third on the standard theory surrounding the Big Bang. Probability enters into the latter because random spatial density fluctuations in the early universe are presumably responsible for the later emergence of structure.
The other third of the book is a thread starting from the classic frequentist-Bayesian debate, moving through the "maximum entropy" principle (well established in a statistical mechanics context) for choosing Bayes priors where little information is available, and ending (Chapters 9 and 10) with frankly speculative material on the theme of the observable Universe as one random realization of many possible (or one amongst many existing but unobservable) other Universes, thereby seeking to infer something from Bayes rule. The latter leads to technical topics such as a prior distribution on the matter density parameter Omega; and to more philosophical ones such as the Anthropic principle, via the Fermi paradox and the Doomsday argument. Most scientists (and I) are skeptical of such topics, regarding them as based on inventing priors on mathematical-philosophical rather than scientific grounds, but motivated readers will find it interesting to ponder the arguments for themselves.
3 of 4 people found the following review helpful
Glimpses of probability
23 Oct 2006
Format:Hardcover
The book is based on a grand idea of uniting probabilistic thinking from games of chance to the universe as a whole. Even though each of the chapters are OK, and some are really good, the bridge from bridge to Big Bang is not very strong. Coles is not afraid of mathematics: all the major equations are presented, and this will distract some of the fainthearted readers, but the mathematically inclined will love it because of the conciseness of explanations.
Were these reviews helpful?
Let us know
Listmania!
Look for similar items by category
- Books > Science & Nature > Astronomy & Cosmology > Astronomy
- Books > Science & Nature > Biological Sciences > Hydrobiology > Marine Biology
- Books > Science & Nature > Engineering & Technology > Aeronautics & Aerospace
- Books > Science & Nature > Engineering & Technology > Engineering Physics
- Books > Science & Nature > Mathematics > Applied Mathematics > Mathematics for Scientists & Engineers
- Books > Science & Nature > Mathematics > Probability & Statistics
- Books > Science & Nature > Physics > Applied Physics > Astrophysics
- Books > Science & Nature > Physics > Mathematical
- Books > Science & Nature > Physics > Particle & High-Energy Physics
- Books > Science & Nature > Physics > Relativity
- Books > Science & Nature > Physics > States of Matter > Condensed Matter
- Books > Science & Nature > Popular Science > Maths
- Books > Science & Nature > Popular Science > Physics
- Books > Scientific, Technical & Medical
Look for similar items by subject
Feedback
- Would you like to update product info or give feedback on images?
- I am the Author, and I want to comment on my book.
- I am the Publisher, and I want to comment on this book.
|
