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Book
Variation totale d'une fonction
Author:
ISBN: 3540069526 0387069526 3540379053 9780387069524 9783540069522 Year: 1974 Volume: 413 Publisher: Berlin : Springer-Verlag,


Book
Stationary Stochastic Processes. (MN-8)
Author:
ISBN: 0691080747 1322884773 0691621411 0691648077 1400868572 9780691080741 Year: 2015 Publisher: Princeton, NJ : Princeton University Press,

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Abstract

Encompassing both introductory and more advanced research material, these notes deal with the author's contributions to stochastic processes and focus on Brownian motion processes and its derivative white noise.Originally published in 1970.The Princeton Legacy Library uses the latest print-on-demand technology to again make available previously out-of-print books from the distinguished backlist of Princeton University Press. These editions preserve the original texts of these important books while presenting them in durable paperback and hardcover editions. The goal of the Princeton Legacy Library is to vastly increase access to the rich scholarly heritage found in the thousands of books published by Princeton University Press since its founding in 1905.

Keywords

Stationary processes --- Stationary processes. --- Stochastic processes --- 519.216 --- 519.216 Stochastic processes in general. Prediction theory. Stopping times. Martingales --- Stochastic processes in general. Prediction theory. Stopping times. Martingales --- Bochner integral. --- Bochner's theorem. --- Bounded operator. --- Bounded variation. --- Brownian motion. --- Characteristic exponent. --- Characteristic function (probability theory). --- Complexification. --- Compound Poisson process. --- Computation. --- Conditional expectation. --- Continuous function (set theory). --- Continuous function. --- Continuous linear operator. --- Convergence of random variables. --- Coset. --- Covariance function. --- Cyclic subspace. --- Cylinder set. --- Degrees of freedom (statistics). --- Derivative. --- Differential equation. --- Dimension (vector space). --- Dirac delta function. --- Discrete spectrum. --- Distribution function. --- Dual space. --- Eigenfunction. --- Equation. --- Existential quantification. --- Exponential distribution. --- Exponential function. --- Finite difference. --- Fourier series. --- Fourier transform. --- Function (mathematics). --- Function space. --- Gaussian measure. --- Gaussian process. --- Harmonic analysis. --- Hermite polynomials. --- Hilbert space. --- Homeomorphism. --- Independence (probability theory). --- Independent and identically distributed random variables. --- Indicator function. --- Infinitesimal generator (stochastic processes). --- Integral equation. --- Isometry. --- Joint probability distribution. --- Langevin equation. --- Lebesgue measure. --- Lie algebra. --- Limit superior and limit inferior. --- Linear combination. --- Linear function. --- Linear interpolation. --- Linear subspace. --- Mean squared error. --- Measure (mathematics). --- Monotonic function. --- Normal distribution. --- Normal subgroup. --- Nuclear space. --- One-parameter group. --- Orthogonality. --- Orthogonalization. --- Parameter. --- Poisson point process. --- Polynomial. --- Probability distribution. --- Probability measure. --- Probability space. --- Probability. --- Projective linear group. --- Radon–Nikodym theorem. --- Random function. --- Random variable. --- Reproducing kernel Hilbert space. --- Self-adjoint operator. --- Self-adjoint. --- Semigroup. --- Shift operator. --- Special case. --- Stable process. --- Stationary process. --- Stochastic differential equation. --- Stochastic process. --- Stochastic. --- Subgroup. --- Summation. --- Symmetrization. --- Theorem. --- Transformation semigroup. --- Unitary operator. --- Unitary representation. --- Unitary transformation. --- Variance. --- White noise. --- Zero element.


Book
Fourier analysis on local fields
Author:
ISBN: 0691618127 0691645167 1400871336 9781400871339 0691081654 9780691081656 Year: 1975 Volume: 15 Publisher: Princeton : Princeton University Press,

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This book presents a development of the basic facts about harmonic analysis on local fields and the n-dimensional vector spaces over these fields. It focuses almost exclusively on the analogy between the local field and Euclidean cases, with respect to the form of statements, the manner of proof, and the variety of applications.The force of the analogy between the local field and Euclidean cases rests in the relationship of the field structures that underlie the respective cases. A complete classification of locally compact, non-discrete fields gives us two examples of connected fields (real and complex numbers); the rest are local fields (p-adic numbers, p-series fields, and their algebraic extensions). The local fields are studied in an effort to extend knowledge of the reals and complexes as locally compact fields.The author's central aim has been to present the basic facts of Fourier analysis on local fields in an accessible form and in the same spirit as in Zygmund's Trigonometric Series (Cambridge, 1968) and in Introduction to Fourier Analysis on Euclidean Spaces by Stein and Weiss (1971).Originally published in 1975.The Princeton Legacy Library uses the latest print-on-demand technology to again make available previously out-of-print books from the distinguished backlist of Princeton University Press. These editions preserve the original texts of these important books while presenting them in durable paperback and hardcover editions. The goal of the Princeton Legacy Library is to vastly increase access to the rich scholarly heritage found in the thousands of books published by Princeton University Press since its founding in 1905.

Keywords

Fourier analysis. --- Local fields (Algebra) --- Fields, Local (Algebra) --- Algebraic fields --- Analysis, Fourier --- Mathematical analysis --- Corps algébriques --- Fourier analysis --- 511 --- 511 Number theory --- Number theory --- Local fields (Algebra). --- Harmonic analysis. Fourier analysis --- Fourier Analysis --- Abelian group. --- Absolute continuity. --- Absolute value. --- Addition. --- Additive group. --- Algebraic extension. --- Algebraic number field. --- Bessel function. --- Beta function. --- Borel measure. --- Bounded function. --- Bounded variation. --- Boundedness. --- Calculation. --- Cauchy–Riemann equations. --- Characteristic function (probability theory). --- Complex analysis. --- Conformal map. --- Continuous function. --- Convolution. --- Coprime integers. --- Corollary. --- Coset. --- Determinant. --- Dimension (vector space). --- Dimension. --- Dirichlet kernel. --- Discrete space. --- Distribution (mathematics). --- Endomorphism. --- Field of fractions. --- Finite field. --- Formal power series. --- Fourier series. --- Fourier transform. --- Gamma function. --- Gelfand. --- Haar measure. --- Haar wavelet. --- Half-space (geometry). --- Hankel transform. --- Hardy's inequality. --- Harmonic analysis. --- Harmonic function. --- Homogeneous distribution. --- Integer. --- Lebesgue integration. --- Linear combination. --- Linear difference equation. --- Linear map. --- Linear space (geometry). --- Local field. --- Lp space. --- Maximal ideal. --- Measurable function. --- Measure (mathematics). --- Mellin transform. --- Metric space. --- Modular form. --- Multiplicative group. --- Norbert Wiener. --- P-adic number. --- Poisson kernel. --- Power series. --- Prime ideal. --- Probability. --- Product metric. --- Rational number. --- Regularization (mathematics). --- Requirement. --- Ring (mathematics). --- Ring of integers. --- Scalar multiplication. --- Scientific notation. --- Sign (mathematics). --- Smoothness. --- Special case. --- Special functions. --- Subgroup. --- Subring. --- Support (mathematics). --- Theorem. --- Topological space. --- Unitary operator. --- Vector space. --- Analyse harmonique (mathématiques)

Singular integrals and differentiability properties of functions
Author:
ISBN: 0691080798 1400883881 9780691080796 Year: 1970 Volume: 30 Publisher: Princeton : Princeton University Press,

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Abstract

Singular integrals are among the most interesting and important objects of study in analysis, one of the three main branches of mathematics. They deal with real and complex numbers and their functions. In this book, Princeton professor Elias Stein, a leading mathematical innovator as well as a gifted expositor, produced what has been called the most influential mathematics text in the last thirty-five years. One reason for its success as a text is its almost legendary presentation: Stein takes arcane material, previously understood only by specialists, and makes it accessible even to beginning graduate students. Readers have reflected that when you read this book, not only do you see that the greats of the past have done exciting work, but you also feel inspired that you can master the subject and contribute to it yourself. Singular integrals were known to only a few specialists when Stein's book was first published. Over time, however, the book has inspired a whole generation of researchers to apply its methods to a broad range of problems in many disciplines, including engineering, biology, and finance. Stein has received numerous awards for his research, including the Wolf Prize of Israel, the Steele Prize, and the National Medal of Science. He has published eight books with Princeton, including Real Analysis in 2005.

Keywords

Functions of real variables. --- Harmonic analysis. --- Singular integrals. --- Multiplicateurs (analyse mathématique) --- Multipliers (Mathematical analysis) --- Functional analysis --- Harmonic analysis. Fourier analysis --- Functions of real variables --- Harmonic analysis --- Singular integrals --- Fonctions de variables réelles --- Analyse harmonique --- Intégrales singulières --- Fonctions de plusieurs variables réelles --- Calcul différentiel --- Functions of several real variables --- Differential calculus --- 517.518.5 --- Integrals, Singular --- Integral operators --- Integral transforms --- Analysis (Mathematics) --- Functions, Potential --- Potential functions --- Banach algebras --- Calculus --- Mathematical analysis --- Mathematics --- Bessel functions --- Fourier series --- Harmonic functions --- Time-series analysis --- Real variables --- Functions of complex variables --- 517.518.5 Theory of the Fourier integral --- Theory of the Fourier integral --- A priori estimate. --- Analytic function. --- Banach algebra. --- Banach space. --- Basis (linear algebra). --- Bessel function. --- Bessel potential. --- Big O notation. --- Borel measure. --- Boundary value problem. --- Bounded function. --- Bounded operator. --- Bounded set (topological vector space). --- Bounded variation. --- Boundedness. --- Cartesian product. --- Change of variables. --- Characteristic function (probability theory). --- Characterization (mathematics). --- Commutative property. --- Complex analysis. --- Complex number. --- Continuous function (set theory). --- Continuous function. --- Convolution. --- Derivative. --- Difference "ient. --- Difference set. --- Differentiable function. --- Dimension (vector space). --- Dimensional analysis. --- Dirac measure. --- Dirichlet problem. --- Distribution function. --- Division by zero. --- Dot product. --- Dual space. --- Equation. --- Existential quantification. --- Family of sets. --- Fatou's theorem. --- Finite difference. --- Fourier analysis. --- Fourier series. --- Fourier transform. --- Function space. --- Green's theorem. --- Harmonic function. --- Hilbert space. --- Hilbert transform. --- Homogeneous function. --- Infimum and supremum. --- Integral transform. --- Interpolation theorem. --- Interval (mathematics). --- Linear map. --- Lipschitz continuity. --- Lipschitz domain. --- Locally integrable function. --- Marcinkiewicz interpolation theorem. --- Mathematical induction. --- Maximal function. --- Maximum principle. --- Mean value theorem. --- Measure (mathematics). --- Modulus of continuity. --- Multiple integral. --- Open set. --- Order of integration. --- Orthogonality. --- Orthonormal basis. --- Partial derivative. --- Partial differential equation. --- Partition of unity. --- Periodic function. --- Plancherel theorem. --- Pointwise. --- Poisson kernel. --- Polynomial. --- Real variable. --- Rectangle. --- Riesz potential. --- Riesz transform. --- Scientific notation. --- Sign (mathematics). --- Singular integral. --- Sobolev space. --- Special case. --- Splitting lemma. --- Subsequence. --- Subset. --- Summation. --- Support (mathematics). --- Theorem. --- Theory. --- Total order. --- Unit vector. --- Variable (mathematics). --- Zero of a function.

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