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Random Walks in Biology: New and Expanded Edition Revised Edition
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This book is a lucid, straightforward introduction to the concepts and techniques of statistical physics that students of biology, biochemistry, and biophysics must know. It provides a sound basis for understanding random motions of molecules, subcellular particles, or cells, or of processes that depend on such motion or are markedly affected by it. Readers do not need to understand thermodynamics in order to acquire a knowledge of the physics involved in diffusion, sedimentation, electrophoresis, chromatography, and cell motility--subjects that become lively and immediate when the author discusses them in terms of random walks of individual particles.
- ISBN-100691000646
- ISBN-13978-0691000640
- EditionRevised
- PublisherPrinceton University Press
- Publication dateSeptember 7, 1993
- LanguageEnglish
- Dimensions5.5 x 0.42 x 8.5 inches
- Print length152 pages
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"I very strongly recommend this excellent book to students as a supplementary textbook in courses on biochemistry, physiology, and biophysics. Moreover, research scientists and scholars should enjoy reading it."---Akira Okubo, The Quarterly Review of Biology
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- Publisher : Princeton University Press; Revised edition (September 7, 1993)
- Language : English
- Paperback : 152 pages
- ISBN-10 : 0691000646
- ISBN-13 : 978-0691000640
- Item Weight : 7 ounces
- Dimensions : 5.5 x 0.42 x 8.5 inches
- Best Sellers Rank: #862,296 in Books (See Top 100 in Books)
- #84 in Biophysics (Books)
- #283 in Molecular Biology (Books)
- #380 in Mathematical Physics (Books)
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The random walk equations are mostly biologically based.
That is equations that describe the motion of biological things.
Type of things covered ( including but not limited to)
Ficks equations
Diffusion
Drift
drag
Diffusion at Equilibrium
Derivation of Boltzman equation
Importance of KT
Mean Square Velocity
Einstien-Scmoluchowski relation
Flagellar propulsion
Motility of Escherichia Coli
Probability Distributions (Gaussian , Binomial , Poisson)
etc
The book is a fairly easy read.
You'll need at least high school to uni maths background.
The maths is fairly practical stuff ( translatable to s/w code )
There are plenty of graphs and diagrams.