物理
The Fabric of Reality 豆瓣
作者: David Deutsch Penguin 1998 - 3
This is an extraordinary and challenging synthesis of ideas uniting Quantum Theory, and the theories of Computation, Knowledge and Evolution. Deutsch's extraordinary book explores the deep connections between these strands which reveal the fabric of reality in which human actions and ideas play essential roles.
The Grammar of Science (Phoenix Edition) 豆瓣
作者: Karl Pearson Dover Publications 2004 - 6
"A remarkable book that influenced the scientific thought of an entire generation."--Dictionary of Scientific Biography
A major statement of the language, method, and concepts of the physical sciences, this 1892 volume traces not only the history of experimental investigation but also the efforts of philosophic minds to state and organize their findings intelligently. A classic in the philosophy of science, its author is the founder of modern statistics. Karl Pearson was among the most influential university teachers of his era, and he possessed a remarkable ability to captivate both students and casual listeners. In The Grammar of Science, his most widely read book, he introduced the concept of a general methodology underlying all science, and thus made one of the great contributions to modern thought. 1957 ed.
The Principles of Quantum Mechanics 豆瓣 Goodreads
作者: P. A. M. Dirac Oxford University Press, USA 1982 - 2
"The standard work in the fundamental principles of quantum mechanics, indispensable both to the advanced student and to the mature research worker, who will always find it a fresh source of knowledge and stimulation." --Nature
"This is the classic text on quantum mechanics. No graduate student of quantum theory should leave it unread"--W.C Schieve, University of Texas
Mathematische Grundlagen der Quantenmechanik 豆瓣
作者: John von Neumann Springer 1996 - 3
From the Back Cover
Es gibt einige Bücher, die die naturwissenschaftliche Welt verändert haben: John von Neumanns Buch über die Quantenmechanik gehört dazu! Mit dieser richtungsweisenden Studie legte er den Grundstein für seine späteren, weltberühmten Arbeiten in den USA. Das Buch ist nicht nur von historischem Interesse, sondern kann immer noch als elementare Einführung in die Grundbegiffe der Quantenmechanik mit Gewinn studiert werden. Seine besondere Stärke ist die Verbindung zwischen physikalischer Idee und mathematischer Exaktheit. Ein Gewinn für jeden Leser aus den Bereichen Mathematik und Physik - schon ab dem 4. Semester.
Methoden der mathematischen Physik 豆瓣
作者: Richard Courant / David Hilbert Springer 1993 - 10
In diesem Buch spurt man noch immer die Inspiration zweier grosser Mathematiker: Hilbert gilt als der letzte seiner Zunft, der in allen Gebieten der Mathematik zu Hause war. Seine grundlegend neuen Erkenntnisse pragten entscheidend die moderne Auffassung vom Wesen der Mathematik. Sein Schuler Courant ist auch heute noch anerkannt als ein ausgezeichneter Lehrer, der die Gabe hatte, schwierigste Materien verstandlich darstellen zu konnen
Einstein's Unfinished Symphony 豆瓣
作者: Marcia Bartusiak National Academy Press 2000
We all know that water and sound move in waves-but gravity? In Marcia Bartusiak's new book, we are introduced to the physics of gravity waves-or vibrations in space-time. We learn about the new generation of observatories, now being completed worldwide, that will give astronomers not just a new window on the cosmos but a whole new sense with which to explore the heavens. Instead of collecting light waves or radio waves, these novel instruments will allow scientists to listen to the very rhythms of the universe, adding an auditory dimension to the grand images we study through powerful telescopes.
In accessible and lively writing that translates intricate physical concepts into lyrical language, Bartusiak describes how a gravity wave surges through the cosmos at the speed of light. She traces the fascinating story of Einstein's theory of general relativity and goes on to explore how physicists' views of gravity waves have evolved over the decades. We also come to know many of the people involved in today's experiments. As Bartusiak weaves their personal histories in with the ultimate aspirations for the new technologies, an absorbing story of science unfolds. This gripping account of complex, cutting-edge science is brought down to earth and made interesting by an author skilled in the telling of popular science.
Two's Company, Three Is Complexity 豆瓣
作者: Neil F. Johnson Oneworld Publications 2007
Preface
It is 2050, and you are watching Who Wants to be a Billionaire? The contestant is one question away from the jackpot. Up comes his
question: “What is the name of the theory that scientists started developing at the beginning of the twenty-first century, and
which helped the world overcome traffic congestion, financial market crashes, terrorist attacks, pandemic viruses, and cancer?” The contestant cannot believe his luck. What an easy question! But he is so nervous that his mind temporarily goes blank. He starts to consider option A: “They are all still unsolved problems” – but then quickly realizes that this is a dumb answer. Instead, he uses his last lifeline to ask the audience. The audience responds unanimously and instantaneously with option B: “The Theory of Complexity”. Without hesitation, he goes with option B. The host hands him the cheque, and the world has yet another billionaire.
Pure fantasy? Maybe not.
In this book, we will go on a journey to the heart of Complexity, an emerging science which looks set to trigger the next great wave of advances in everything from medicine and biology through to economics and sociology. Complexity Science also comes with the
prospect of solving a wide range of important problems which face us as individuals and as a Society. Consequently, it is set to permeate through every aspect of our lives.
There is, however, one problem. We don’t yet have a fullyfledged “theory” of Complexity. Instead, I will use this book to assemble all the likely ingredients of such a theory within a common framework, and then analyze a wide range of real-world applications within this same common framework. It will then require someone from the future – perhaps one of the younger readers of this book – to finally put all these pieces into place.
Complexity Science is a double-edged sword in the best possible sense. It is truly “big science” in that it embodies some of the hardest, most fundamental and most challenging open problems in academia. Yet it also manages to encapsulate the major practical issues which face us every day from our personal lives and health, through to global security. Making a pizza is complicated, but not complex. The same holds for filling out your tax return, or mending a bicycle puncture. Just follow the instructions step by step, and you will eventually be able to go from start to finish without too much trouble. But imagine trying to do all three at the same time. Worse still, suppose that the sequence of steps that you follow in one task actually depends on how things are progressing with the other two. Difficult? Well, you now have an indication of what Complexity is all about. With that in mind, now substitute those three interconnected tasks for a situation in which three interconnected people each try to follow their own instincts and strategies while reacting to the actions of the others. This then gives an idea of just how Complexity
might arise all around us in our daily lives.
While I was writing this book, I had the following “wish-list” in my head concerning its goals:
1. To provide a book which a wide cross-section of people would want to read and would enjoy reading – regardless of age,
background or level of scientific knowledge.
2. To introduce readers to the exciting range of real-world scenarios in which Complexity Science can prove its worth.
3. To provide the book on Complexity that “I never had but always needed”. In other words, to provide an easily readable yet thorough guide to this important scientific revolution.
4. To provide a book that my kids could read – or rather, a book that they would actually choose to read all by themselves. This is a very important goal, since Complexity will likely become the science of interest for future generations.
5. To provide a book which is just as readable on a plane or bus as in a library. As such, it should also make sense when read in short chunks.
6. To provide a book which provides professional scientists,economists, and policy-makers with a new perspective on
open problems in their field, and to help stimulate new Complexity-based interdisciplinary research projects.
However, as I finish the book and offer it up to potential readers,I realize that the above wish-list can essentially be reduced to just
one item: I would wish that you enjoy reading this book, and that it might provide you with fresh thoughts and insights for dealing
with the complex world in which we live, and which our children will inherit.
There are some practicalities concerning the book’s content and layout which I would like to explain. The language, examples and
analogies are kept simple since the focus of the book is to explain what Complexity Science is all about, and why it is so important for
us all. I therefore avoid delving into too much detail in the main text. Instead, the Appendix describes how to access the technical
research papers upon which the discussions in the book are based, and gives a list of Internet websites containing additional information about Complexity research around the world. Having said this, I won’t pull any punches in the sense that I tackle all the topics
which I believe to be relevant. Part 1 of the book takes us through the theoretical underpinnings of Complexity, while Part 2
delves into its real-world applications. Some of the territory is only just beginning to be explored, with very few answers available
for the questions being posed. From the perspective of other scientific revolutions throughout history this might seem to be par
for the course. However we are not talking about history here –instead, we are looking at work which is emerging at the forefront
of a new discipline. For this reason we will be highlighting where such research is heading, rather than where it has been.
But why should you believe what I write about Complexity? This is a crucially important question given that Complexity Science is still being developed and its potential applications explored. Unfortunately many accounts of Complexity in the popular press are second-hand, i.e. they are typically written by people who have done little, if any, research on Complexity themselves and are instead reporting on their interpretation of
other people’s work. Given the relatively immature nature of the field, I believe that such indirect interpretations are potentially
dangerous. For this reason, I will base the book’s content around my own research group’s experience in Complexity. This has
various advantages: (i) it reflects my own understanding of the Complexity field; (ii) it represents what I believe to be the most
relevant and important topics; (iii) it will hopefully give the reader a sense of what it is like to be at the “pit-face” in such a
challenging area of research; and (iv) it ensures that any reader can challenge me directly on any claims that I make, and can
demand an informed answer. To facilitate this process of public scrutiny, a complete list of the relevant scientific research reports
is presented in the latter part of the Appendix. I also encourage any readers who wish to email me with questions, to do so at
n.johnson@physics.ox.ac.uk
Maxwell's Demon 豆瓣
作者: Harvey Leff (Editor), Andrew F. Rex (Editor) Princeton University Press 1990
新的科学突破将在于物质与信息边缘的地方。对于麦克斯韦妖这个假想的科学怪物的研究证实在朝向这个方向努力。逻辑计算能够不产生熵吗?计算上的不可逆和物理上的不可逆究竟有什么关系?信息和物质究竟以怎样的方式纠缠在一起?这本书是一个论文集,对物理与信息科学的边界进行探讨。
A Guide to Monte Carlo Simulations in Statistical Physics 豆瓣
作者: Landau, David P./ Binder, Kurt Cambridge Univ Pr 2005 - 9
This new and updated edition deals with all aspects of Monte Carlo simulation of complex physical systems encountered in condensed-matter physics, statistical mechanics, and related fields. After briefly recalling essential background in statistical mechanics and probability theory, it gives a succinct overview of simple sampling methods. The concepts behind the simulation algorithms are explained comprehensively, as are the techniques for efficient evaluation of system configurations generated by simulation. It contains many applications, examples, and exercises to help the reader and provides many new references to more specialized literature. This edition includes a brief overview of other methods of computer simulation and an outlook for the use of Monte Carlo simulations in disciplines beyond physics. This is an excellent guide for graduate students and researchers who use computer simulations in their research. It can be used as a textbook for graduate courses on computer simulations in physics and related disciplines.