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Preface | p. ix |
Probability Distributions and Densities | |
Definition of Probability | p. 1 |
Formalizing the Definition | p. 3 |
Measure and Lebesgue Integration | p. 5 |
Distribution Function | p. 7 |
The Probability Density Function | p. 8 |
A Simple Example of the Distribution and Density Functions | p. 10 |
Expected Values | p. 11 |
Joint Distribution Functions | p. 12 |
The Joint Density Function | p. 13 |
Expected Values | p. 14 |
Conditional Probabilities | p. 15 |
Conditional Expectations | p. 16 |
Statistical Independence and Lack of Correlation | p. 16 |
Change of Variable | p. 17 |
Moments, Characteristic Functions, and the Gaussian Distribution | |
Moments Defined | p. 19 |
Significance of the Moments | p. 21 |
The Correlation Matrix and Principal Axes | p. 24 |
The Characteristic Function | p. 25 |
Properties of the Characteristic Function | p. 25 |
Two Simple Examples | p. 27 |
The Central-Limit Theorem for Independent Variables | p. 30 |
The Gaussian Distribution from a More Physical Point of View | p. 33 |
Moments of a Gaussian Distribution | p. 37 |
The Jointly Normal Distribution | p. 38 |
Cumulants | p. 39 |
The Gram-Charlier Expansion | p. 39 |
Random Functions | |
Generalities: Multipoint Characteristic Functions | p. 43 |
Statistics for Derivatives and Integrals | p. 44 |
Processes and Characteristic Functionals: The Gaussian Process | p. 47 |
Limit Processes of Random Functions | p. 50 |
The Representation Problem | p. 54 |
Finite Total Energy and Characteristic Eddies | p. 57 |
Calculation of the Characteristic Eddies | p. 59 |
Rate of Convergence of the Series of Eigenfunctions | p. 60 |
Stationarity and the Ergodic Problem | p. 62 |
Autocorrelations of Stationary Processes and Their Properties | p. 68 |
Estimation by Time Averages | p. 71 |
The Representation Problem for Stationary Processes: Spectra | p. 76 |
Estimation by Time Averages with Zero Integral Scale | p. 79 |
Another Type of Representation Theorem for Stationary Processes: Characteristic Eddies | p. 80 |
Alternate Approaches to Harmonic Decomposition for Stationary Processes | |
A Central-Limit Theorem for Random Functions | p. 84 |
Random Processes in More Dimensions | |
Multidimensional Vector Fields of Finite Energy | p. 95 |
Homogeneity, Averaging, and Ergodicity in Several Dimensions | p. 96 |
The Homogeneous Scalar Field: One-Dimensional Spectra | p. 98 |
The Homogeneous Scalar Field: The Three-Dimensional Spectrum | p. 100 |
The Homogeneous Scalar Field: Consequences of Isotropy | p. 100 |
The Homogeneous Scalar Field: General Form of the Spectra | p. 102 |
The Solenoidal Homogeneous Vector Field: Implications of Incompressibility | p. 104 |
The Solenoidal Homogeneous Vector Field: One-Dimensional Spectra | p. 107 |
The Solenoidal Homogeneous Vector Field: The Three-Dimensional Spectrum | p. 107 |
The Solenoidal Homogenous Vector Field: Consequences of Isotropy | p. 108 |
The Solenoidal Homogeneous Vector Field: General Form of the Spectra | p. 111 |
Characteristic Eddies for a Homogeneous Vector Field | p. 113 |
Incompletely Homogeneous Fields: Co-and Quadrature Spectra and Coherence | p. 114 |
Characteristic Eddies for an Incompletely Homogeneous Field | p. 117 |
Multiple-Valued Functions | p. 121 |
Distribution of Solutions for an Algebraic Equation | p. 130 |
Fourier Transforms | |
Fourier Transforms of Well-Behaved Functions | p. 137 |
The Inverse Transform | p. 138 |
The Convolution | p. 139 |
Symmetry Properties | p. 140 |
Parseval's Relation | p. 141 |
Relations among Derivatives | p. 142 |
Shift of Variables | p. 142 |
Multiple Variables | p. 143 |
Tensors | |
Transformation Properties: Co- and Contra variant Indices | p. 145 |
The Metric Tensor: Changing Indices | p. 147 |
Cartesian Systems, Numerical Tensors, and Tensor Densities | p. 149 |
Differentiation | p. 152 |
Eigenvalues and Eigenvectors: Representations | p. 153 |
Principal Invariants, The Cayley-Hamilton Theorem, and Inverses | p. 156 |
Theory of Generalized Functions | |
Generalities | p. 159 |
Linear Continuous Functionals | p. 160 |
Addition and Multiplication by a Constant and by a Function | p. 161 |
Convergence of Sequences of Generalized Functions | p. 162 |
Differentiation and Integration of Generalized Functions | p. 162 |
Support of a Generalized Function | p. 164 |
Direct Product of Generalized Functions | p. 164 |
Convolutions of Generalized Functions | p. 164 |
Fourier Transforms of Generalized Functions | p. 166 |
Several Variables | p. 167 |
Effect of a Shift of Variables | p. 167 |
Asymptotic Behavior of Generalized Functions | p. 168 |
Fourier Transforms of Generalized Functions Defined on the Space of Bounded, Infinitely Differentiable Functions | p. 172 |
The Fourier Transform of the Convolution | p. 174 |
Behavior of the Fourier Transform | p. 175 |
The Kernel Theorem | p. 176 |
Representations of Generalized Functions of Finite Total Energy | p. 176 |
Invariant Theory, Isotropy, and Axisymmetry | |
Invariance under Transformation Groups | p. 179 |
Independent Invariants of Tensors of Various Orders | p. 180 |
Representations of Tensor Functions-A General Method | p. 182 |
Tensor Constants and Functions of a Scalar | p. 183 |
Tensor Functions of a Vector | p. 183 |
Tensor Functions of a Tensor of Second Rank | p. 184 |
References | p. 187 |
Index | p. 191 |
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