The Physical Nature of Information (eBook)

A Short Course

Gregory Falkovich (Autor)

eBook Download: PDF

2025
233 Seiten
Princeton University Press (Verlag)
978-0-691-26654-1 (ISBN)

Infos

A unified introduction to information theory for scientistsApplications of information theory span a broad range of disciplines today. This book presents a unified treatment of the subject for students and practitioners in the sciences. It teaches the tools universally used by physicists working on quantum computers and black holes, engineers designing self-driving cars, traders perfecting market strategies, chemists playing with molecules, biologists studying cells and living beings, linguists analyzing languages, and neuroscientists figuring out how the brain works. No matter what area of science you specialize in, The Physical Nature of Information unlocks the power of information theory to test the limits imposed by uncertainty.Provides a panoramic approach to information theoryDraws on examples from physics, engineering, biology, economics, and linguisticsApplications range from thermodynamics and statistical mechanics to dynamical chaos, information and communication theories, and quantum informationIncludes materials for lectures and tutorials along with exercises with detailed solutionsCan be used to design a one-semester introductory courseIdeal for self-study by graduate students and advanced undergraduatesInvaluable for scholars seeking new research opportunities

Produkt-Details

• Erscheint lt. Verlag: 28.1.2025
• Zusatzinfo: 45 b/w illus.
• Sprache: englisch
• Themenwelt: Mathematik / Informatik ► Informatik ► Theorie / Studium
• Themenwelt: Naturwissenschaften ► Physik / Astronomie ► Angewandte Physik
• Schlagworte: Alice • Alphabet • Analog • binary • bits • Boltzmann • brain • Chain • Choice • Conditional probability • constant • Correlations • Data • degrees • Degrees freedom • density • Density Matrix • dimensional • Direction • distortion • Distribution • ENCODE • Energy • Entanglement • Entropy • Equation • Equilibrium • Evolution • Factor • flow • force • freedom • Function • Gaussian • Gibbs • growth • hamiltonian • Heat • hypothesis • Information • Input • Knowledge • Law • length • Letter • line • logarithm • Matrix • maximal • Microcanonical • MOMENTA • Momentum • Neumann • Operator • orthogonal • Output • parameters • particle • Physics • Points • Positive • Product • quantities • quantum • Qubit • relative • respect • result • scale • sensory • Signals • space • Spin • Statistical • Statistics • Subsystem • sum • Systems • Temperature • thermal • thermodynamics • Transmission • Uniform • Unit • UNITY • Variables • Variance • Vector • Volume • von • Zero
• ISBN-10: 0-691-26654-9 / 0691266549
• ISBN-13: 978-0-691-26654-1 / 9780691266541