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Book
Continuous Model Theory. (AM-58), Volume 58
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ISBN: 1400882052 Year: 2016 Publisher: Princeton, NJ : Princeton University Press,

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Abstract

This is a study of the theory of models with truth values in a compact Hausdorff topological space.


Book
Set-Valued Analysis
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Year: 2021 Publisher: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute

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This Special Issue contains eight original papers with a high impact in various domains of set-valued analysis. Set-valued analysis has made remarkable progress in the last 70 years, enriching itself continuously with new concepts, important results, and special applications. Different problems arising in the theory of control, economics, game theory, decision making, nonlinear programming, biomathematics, and statistics have strengthened the theoretical base and the specific techniques of set-valued analysis. The consistency of its theoretical approach and the multitude of its applications have transformed set-valued analysis into a reference field of modern mathematics, which attracts an impressive number of researchers.


Book
Set-Valued Analysis
Authors: --- ---
Year: 2021 Publisher: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute

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Abstract

This Special Issue contains eight original papers with a high impact in various domains of set-valued analysis. Set-valued analysis has made remarkable progress in the last 70 years, enriching itself continuously with new concepts, important results, and special applications. Different problems arising in the theory of control, economics, game theory, decision making, nonlinear programming, biomathematics, and statistics have strengthened the theoretical base and the specific techniques of set-valued analysis. The consistency of its theoretical approach and the multitude of its applications have transformed set-valued analysis into a reference field of modern mathematics, which attracts an impressive number of researchers.


Book
Set-Valued Analysis
Authors: --- ---
Year: 2021 Publisher: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute

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Abstract

This Special Issue contains eight original papers with a high impact in various domains of set-valued analysis. Set-valued analysis has made remarkable progress in the last 70 years, enriching itself continuously with new concepts, important results, and special applications. Different problems arising in the theory of control, economics, game theory, decision making, nonlinear programming, biomathematics, and statistics have strengthened the theoretical base and the specific techniques of set-valued analysis. The consistency of its theoretical approach and the multitude of its applications have transformed set-valued analysis into a reference field of modern mathematics, which attracts an impressive number of researchers.


Book
Order-Preserving Maps and Integration Processes. (AM-31), Volume 31
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ISBN: 1400882303 Year: 2016 Publisher: Princeton, NJ : Princeton University Press,

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Abstract

The description for this book, Order-Preserving Maps and Integration Processes. (AM-31), Volume 31, will be forthcoming.

Keywords

Group theory. --- Integrals. --- Abelian group. --- Addition. --- Axiom. --- Baire function. --- Banach space. --- Big O notation. --- Binary operation. --- Binary relation. --- Borel set. --- Bounded function. --- Cartesian product. --- Characteristic function (probability theory). --- Circumference. --- Closure (mathematics). --- Coefficient. --- Combination. --- Commutative algebra. --- Compact space. --- Complete lattice. --- Continuous function (set theory). --- Continuous function. --- Contradiction. --- Corollary. --- Coset. --- Countable set. --- Directed set. --- Domain of a function. --- Elementary function. --- Empty set. --- Equation. --- Equivalence class. --- Estimation. --- Existential quantification. --- Finite set. --- Fubini's theorem. --- Hilbert space. --- I0. --- Infimum and supremum. --- Integer. --- L-function. --- Lattice (order). --- Lebesgue integration. --- Limit (mathematics). --- Limit superior and limit inferior. --- Linear map. --- Measure (mathematics). --- Monotonic function. --- Natural number. --- Order of operations. --- Parity (mathematics). --- Partially ordered group. --- Partially ordered set. --- Pointwise convergence. --- Pointwise. --- Polynomial. --- Projection (linear algebra). --- Quadratic function. --- Real number. --- Requirement. --- Riemann integral. --- Riemann–Stieltjes integral. --- Scalar multiplication. --- Scientific notation. --- Self-adjoint operator. --- Set (mathematics). --- Set function. --- Sign (mathematics). --- Special case. --- Subset. --- Subtraction. --- Summation. --- Theorem. --- Unification (computer science). --- Upper and lower bounds.


Book
Surface Area. (AM-35), Volume 35
Author:
ISBN: 140088232X Year: 2016 Publisher: Princeton, NJ : Princeton University Press,

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The description for this book, Surface Area. (AM-35), Volume 35, will be forthcoming.

Keywords

Surfaces. --- Absolute continuity. --- Addition. --- Admissible set. --- Arc length. --- Axiom. --- Axiomatic system. --- Bearing (navigation). --- Bounded variation. --- Calculus of variations. --- Circumference. --- Compact space. --- Complex analysis. --- Concentric. --- Connected space. --- Continuous function (set theory). --- Continuous function. --- Corollary. --- Countable set. --- Covering set. --- Curve. --- Derivative. --- Diameter. --- Differentiable function. --- Differential geometry. --- Direct proof. --- Dirichlet integral. --- Disjoint sets. --- Empty set. --- Equation. --- Equicontinuity. --- Existence theorem. --- Existential quantification. --- Function (mathematics). --- Functional analysis. --- Geometry. --- Hausdorff measure. --- Homeomorphism. --- Homotopy. --- Infimum and supremum. --- Integral geometry. --- Intersection number (graph theory). --- Interval (mathematics). --- Iterative method. --- Jacobian. --- Lebesgue integration. --- Lebesgue measure. --- Limit (mathematics). --- Limit point. --- Limit superior and limit inferior. --- Linearity. --- Line–line intersection. --- Locally compact space. --- Mathematician. --- Mathematics. --- Measure (mathematics). --- Metric space. --- Morphism. --- Natural number. --- Nonparametric statistics. --- Orientability. --- Parameter. --- Parametric equation. --- Parametric surface. --- Partial derivative. --- Potential theory. --- Radon–Nikodym theorem. --- Representation theorem. --- Representation theory. --- Right angle. --- Semi-continuity. --- Set function. --- Set theory. --- Sign (mathematics). --- Smoothness. --- Space-filling curve. --- Subset. --- Summation. --- Surface area. --- Tangent space. --- Theorem. --- Topological space. --- Topology. --- Total order. --- Total variation. --- Uniform convergence. --- Unit square.

Strong Rigidity of Locally Symmetric Spaces. (AM-78), Volume 78
Author:
ISBN: 0691081360 1400881838 9780691081366 Year: 2016 Volume: 78 Publisher: Princeton, NJ : Princeton University Press,

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Abstract

Locally symmetric spaces are generalizations of spaces of constant curvature. In this book the author presents the proof of a remarkable phenomenon, which he calls "strong rigidity": this is a stronger form of the deformation rigidity that has been investigated by Selberg, Calabi-Vesentini, Weil, Borel, and Raghunathan.The proof combines the theory of semi-simple Lie groups, discrete subgroups, the geometry of E. Cartan's symmetric Riemannian spaces, elements of ergodic theory, and the fundamental theorem of projective geometry as applied to Tit's geometries. In his proof the author introduces two new notions having independent interest: one is "pseudo-isometries"; the other is a notion of a quasi-conformal mapping over the division algebra K (K equals real, complex, quaternion, or Cayley numbers). The author attempts to make the account accessible to readers with diverse backgrounds, and the book contains capsule descriptions of the various theories that enter the proof.

Keywords

Differential geometry. Global analysis --- Riemannian manifolds --- Symmetric spaces --- Rigidity (Geometry) --- 512 --- Lie groups --- Geometric rigidity --- Rigidity theorem --- Discrete geometry --- Spaces, Symmetric --- Geometry, Differential --- Manifolds, Riemannian --- Riemannian space --- Space, Riemannian --- Manifolds (Mathematics) --- Groups, Lie --- Lie algebras --- Topological groups --- Algebra --- Lie groups. --- Riemannian manifolds. --- Symmetric spaces. --- Rigidity (Geometry). --- 512 Algebra --- Addition. --- Adjoint representation. --- Affine space. --- Approximation. --- Automorphism. --- Axiom. --- Big O notation. --- Boundary value problem. --- Cohomology. --- Compact Riemann surface. --- Compact space. --- Conjecture. --- Constant curvature. --- Corollary. --- Counterexample. --- Covering group. --- Covering space. --- Curvature. --- Diameter. --- Diffeomorphism. --- Differentiable function. --- Dimension. --- Direct product. --- Division algebra. --- Ergodicity. --- Erlangen program. --- Existence theorem. --- Exponential function. --- Finitely generated group. --- Fundamental domain. --- Fundamental group. --- Geometry. --- Half-space (geometry). --- Hausdorff distance. --- Hermitian matrix. --- Homeomorphism. --- Homomorphism. --- Hyperplane. --- Identity matrix. --- Inner automorphism. --- Isometry group. --- Jordan algebra. --- Matrix multiplication. --- Metric space. --- Morphism. --- Möbius transformation. --- Normal subgroup. --- Normalizing constant. --- Partially ordered set. --- Permutation. --- Projective space. --- Riemann surface. --- Riemannian geometry. --- Sectional curvature. --- Self-adjoint. --- Set function. --- Smoothness. --- Stereographic projection. --- Subgroup. --- Subset. --- Summation. --- Symmetric space. --- Tangent space. --- Tangent vector. --- Theorem. --- Topology. --- Tubular neighborhood. --- Two-dimensional space. --- Unit sphere. --- Vector group. --- Weyl group. --- Riemann, Variétés de --- Lie, Groupes de --- Geometrie differentielle globale --- Varietes riemanniennes

Mathematical methods of statistics
Author:
ISBN: 0691005478 0691080046 1400883865 9780691080048 9780691005478 Year: 1946 Volume: 9 Publisher: Princeton: Princeton University Press,

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Abstract

In this classic of statistical mathematical theory, Harald Cramér joins the two major lines of development in the field: while British and American statisticians were developing the science of statistical inference, French and Russian probabilitists transformed the classical calculus of probability into a rigorous and pure mathematical theory. The result of Cramér's work is a masterly exposition of the mathematical methods of modern statistics that set the standard that others have since sought to follow. For anyone with a working knowledge of undergraduate mathematics the book is self contained. The first part is an introduction to the fundamental concept of a distribution and of integration with respect to a distribution. The second part contains the general theory of random variables and probability distributions while the third is devoted to the theory of sampling, statistical estimation, and tests of significance.

Keywords

Mathematical statistics --- 519.2 --- 519.2 Probability. Mathematical statistics --- Probability. Mathematical statistics --- Mathematics --- Statistical inference --- Statistics, Mathematical --- Statistics --- Probabilities --- Sampling (Statistics) --- Statistical methods --- Statistique mathématique --- Mathematical statistics. --- Statistique mathématique --- Statistique mathématique. --- Distribution (théorie des probabilités) --- Distribution (Probability theory) --- A priori probability. --- Addition theorem. --- Additive function. --- Analysis of covariance. --- Arithmetic mean. --- Axiom. --- Bayes' theorem. --- Bias of an estimator. --- Binomial distribution. --- Binomial theorem. --- Bolzano–Weierstrass theorem. --- Borel set. --- Bounded set (topological vector space). --- Calculation. --- Cartesian product. --- Central moment. --- Characteristic function (probability theory). --- Characteristic polynomial. --- Coefficient. --- Commutative property. --- Confidence interval. --- Convergence of random variables. --- Correlation coefficient. --- Degeneracy (mathematics). --- Degrees of freedom (statistics). --- Diagram (category theory). --- Dimension. --- Distribution (mathematics). --- Distribution function. --- Empirical distribution function. --- Equation. --- Estimation theory. --- Estimation. --- Identity matrix. --- Independence (probability theory). --- Interval (mathematics). --- Inverse probability. --- Invertible matrix. --- Joint probability distribution. --- Laplace distribution. --- Lebesgue integration. --- Lebesgue measure. --- Lebesgue–Stieltjes integration. --- Likelihood function. --- Limit (mathematics). --- Linear regression. --- Logarithm. --- Logarithmic derivative. --- Logarithmic scale. --- Marginal distribution. --- Mathematical analysis. --- Mathematical induction. --- Mathematical theory. --- Mathematics. --- Matrix (mathematics). --- Maxima and minima. --- Measure (mathematics). --- Method of moments (statistics). --- Metric space. --- Minor (linear algebra). --- Moment (mathematics). --- Moment matrix. --- Normal distribution. --- Numerical analysis. --- Parameter. --- Parity (mathematics). --- Poisson distribution. --- Probability distribution. --- Probability theory. --- Probability. --- Proportionality (mathematics). --- Quantity. --- Random variable. --- Realization (probability). --- Riemann integral. --- Sample space. --- Sampling (statistics). --- Scientific notation. --- Series (mathematics). --- Set (mathematics). --- Set function. --- Sign (mathematics). --- Standard deviation. --- Statistic. --- Statistical Science. --- Statistical hypothesis testing. --- Statistical inference. --- Statistical regularity. --- Statistical theory. --- Subset. --- Summation. --- Theorem. --- Theory. --- Transfinite number. --- Uniform distribution (discrete). --- Variable (mathematics). --- Variance. --- Weighted arithmetic mean. --- Z-test. --- Distribution (théorie des probabilités)


Book
Lectures on Fourier Integrals. (AM-42), Volume 42
Authors: --- ---
ISBN: 1400881994 Year: 2016 Publisher: Princeton, NJ : Princeton University Press,

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The description for this book, Lectures on Fourier Integrals. (AM-42), Volume 42, will be forthcoming.

Keywords

Fourier series. --- Integrals. --- Harmonic analysis. --- Abscissa. --- Absolute value. --- Absolutely integrable function. --- Acta Mathematica. --- Addition. --- Additive function. --- Affine transformation. --- Almost periodic function. --- Analytic function. --- Antiderivative. --- Arbitrarily large. --- Arithmetic mean. --- Augustin-Louis Cauchy. --- Bernhard Riemann. --- Bessel function. --- Big O notation. --- Borel set. --- Boundary layer. --- Boundary value problem. --- Bounded function. --- Bounded variation. --- Calculation. --- Cauchy principal value. --- Characteristic function (probability theory). --- Coefficient. --- Compact space. --- Compactness theorem. --- Complex number. --- Continuous function. --- Dense set. --- Derivative. --- Differentiable function. --- Dirichlet series. --- Distribution function. --- Division by zero. --- E. W. Hobson. --- Eigenfunction. --- Eigenvalues and eigenvectors. --- Empty set. --- Equation. --- Existential quantification. --- Exponential polynomial. --- Exterior (topology). --- Fourier transform. --- Function (mathematics). --- Functional equation. --- Gamma function. --- Generating function. --- Harmonic function. --- Initial point. --- Integer. --- Integral equation. --- Interval (mathematics). --- Limit of a sequence. --- Line (geometry). --- Linear combination. --- Linear differential equation. --- Mathematische Annalen. --- Mean value theorem. --- Monotonic function. --- Null set. --- Order of integration (calculus). --- Order of integration. --- Order of magnitude. --- Parameter. --- Partial derivative. --- Partial fraction decomposition. --- Poisson formula. --- Poisson summation formula. --- Polar coordinate system. --- Polynomial. --- Power series. --- Principal part. --- Rapidity. --- Rational function. --- Rational number. --- Real variable. --- Remainder. --- Requirement. --- Set function. --- Sign (mathematics). --- Smoothness. --- Special case. --- State function. --- Step function. --- Subsequence. --- Summation. --- Theorem. --- Total variation. --- Trigonometric integral. --- Uniform convergence. --- Uniqueness theorem. --- Variable (mathematics).

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