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- Absolutely continuous function
- Absolutely continuous probability distribution
- Absolutely normal number
- Almost-everywhere convergence from weak-type domination
- Almost-everywhere limit under a uniform L1 bound
- Conditional expectation from finite-measure densities
- Conditional information function
- Conditional measures of a factor
- Conditional probability
- Convolution
- Convolution theorem for Laplace transforms
- Counting measure
- Cumulative distribution function
- Dense approximation under a weak-type maximal bound
- Differentiation along refining metric partitions
- Differentiation of an indefinite Lebesgue integral
- Dirac measure
- Dominated differentiation under the integral sign
- Dyadic conditional averages recover integrable functions
- Dyadic filtration
- Equality in Hölder's inequality
- Equality in Minkowski inequality
- Essential infimum
- Essential infimum and essential supremum
- Essentially bounded function
- Essential range
- Essential supremum
- Even-weight principal-value distribution
- First integral for a variational integrand independent of the function value
- Fourier inversion theorem
- Fundamental theorem of calculus for Lebesgue integration
- Gradient of a Sobolev function vanishes on a level set
- Hazard function
- Hilbert space
- L1 convolution bound
- Lebesgue differentiation theorem
- Lebesgue measurable sections
- Lebesgue measure
- Lebesgue theorem on differentiability of monotone functions
- Linear growth bound for integrable observables
- L-infinity norm
- Liouville theorem for integrable nonnegative elliptic subsolutions
- Lp norm
- Mass normalization in mollified singular integrals
- Measurable partition
- Measure theory
- Minkowski inequality
- Minkowski inequality for error aggregation
- Nonnegative ergodic averages with infinite integral
- Null set
- One-dimensional Sobolev representative
- Orthogonal polynomial
- Orthogonal polynomials for the absolute-value weight
- Oscillating minimizing sequence with no minimizer
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- Periodic distribution
- Point-evaluation kernel is not closed in the integral norm
- Probability density function
- Radial derivative
- Radial profile
- Radial Sobolev profile on an annulus
- Reachable set
- Relative entropy nonnegativity
- Scheffé lemma
- Shannon-McMillan-Breiman theorem
- Singular support of an indicator function
- Sobolev chain rule
- Sobolev gradient vanishes on a zero set
- Space of continuous functions on a compact space
- Spectrum of a bounded operator
- Strictly proper scoring rule
- Sublinear operator
- Summable L1 norms imply almost-everywhere absolute convergence
- Triangular ergodic averaging lemma
- Typewriter sequence
- Volterra power-kernel integral
- Weak type with a normed domain
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The term "almost everywhere" is a concept used in mathematics, particularly in measure theory and related fields, to describe a property that holds true for all points in a space except for a set of measure zero. In more formal terms, within a given measurable space, a property P is said to hold "almost everywhere" if the set of points where P does not hold has measure zero.