Set Theory
A set is a collection of objects, considered as a whole.
Referenced by (59 direct, 635 transitive)
Direct references:
- group
- Ring
- Null Space
- Vector Space
- proof-of-bolzano-weierstrass
- subsequential-limits-of-a-metric-space-form-a-closed-set
- proof-of-subsequential-limits-of-a-metric-space-form-a-closed-set
- note-31
- Diameter
- diameter-of-set-equals-diameter-of-closure
- nested-sequence-of-compact-sets-with-lim-diam-zero-has-singleton-intersection
- proof-of-euclidean-spaces-are-complete
- Component Function
- Differentiable
- Total derivatives are unique
- Continuously Differentiable
- Domain
- Analytic
- Cauchy-Riemann Equations
- outer measure
- nonexistence of extension of length to all subsets of
- -Algebra
- sigma algebras are closed under countable intersection
- measurable space
- example-8
- smallest sigma algebra containing a collection of subsets.
- Upper bound
- Lower bound
- Discrete Channel
- proof-of-probability-vectors-form-a-convex-compact-set
- Sample Space
- Random Variable
- State Space
- Discrete Random Variable
- Statistical Model
- Element
- Membership criterion
- Axiom of Extensionality
- subset
- superset
- Union
- Empty Set
- set-equality-via-subset-inclusion
- proof-of-set-equality-via-subset-inclusion
- Function
- Domain of Definition
- Value
- Range
- Sequence
- Inverse Image
- proof-of-complement-of-union-is-intersection-of-complements
- proof-of-complement-of-intersection-is-union-of-complements
- Open Cover
- nonempty-intersection-of-finitely-many-compact-sets
- Cardinal Number, Equivalent
- complement-of-union-is-intersection-of-complements-general
- union-and-intersection-of-open-and-closed-sets
- Base
- countable-closed-set-has-isolated-points
Transitive (depth 1):
- Analytic at a point
- Cauchy-Goursat Theorem
- Cauchy's Integral Theorem
- Entire
- intuition-13
- proof-of-cauchys-integral-theorem
- Removable Singularity
- Residue Theorem
- Taylor Expansion Theorem
- theorem-1-intuition
- theorem-6
- compact-metric-space-has-countable-base
- every-separable-metric-space-has-a-countable-base
- proof-of-compact-metric-space-has-countable-base
- proof-of-condensation-points-of-an-uncountable-subset-of-rk-are-perfect
- proof-of-every-separable-metric-space-has-a-countable-base
- proof-of-infinite-subset-has-limit-point-implies-compact
- infinite-subset-of-countable-is-countable-note
- proof-of-n-tuples-of-countable-elements-are-countable
- Vector Function
- grad-div-curl-related
- Gradient System
- poincare-bendixson
- Real Valued Continuously Differentiable implies Lipschitz Continuous
- theorem-19
- Vector Valued Continuously Differentiable implies Lipschitz Continuous
- proof-of-compact-metric-spaces-are-complete
- gradient-as-surface-normal-vector
- Laplacian
- Level Surface
- Mean Value Inequality for Vector Valued Functions
- Mean Value Theorem
- proof-of-mean-value-inequality-for-vector-valued-functions
- remark-9
- Second Derivative Test for Convexity
- Total Derivative
- Capacity
- Cumulative Distribution Function
- Geometric Distribution
- Identically Distributed
- Probability Distribution
- Probability of Error
- Cauchy Integral Theorem
- closed-path-of-path-independent-integral-is-zero
- Contour Integral
- Divergence Theorem of Gauss
- Green's Theorem
- Parameter Space
- Path Independent
- remark-12
- Stoke's Theorem
- Volume Integral
- Well-posedness of IVPs
- note-11
- remark-7
- Scalar Function
- Vector Field
- binary-sequences-are-uncountable
- Complex Differentiable
- Continuous
- Convex Combination
- Derivative Function
- Entropy
- Entry
- existence-and-uniqueness-of-ivp-solutions
- Formal System
- Free vector
- limit-of-diameter-of-remaining-points-in-cauchy-sequence-is-zero
- Manifold
- Matrix
- Metric Space
- Mutual Independence
- n-tuple
- n-tuples-of-countable-elements-are-countable
- Nontrivial intervals are uncountable
- note-15
- note-8
- Open
- proof-of-function-is-continuous-at-point-iff-limit-at-point-equals-function-at-point
- proof-of-infinite-subset-of-countable-is-countable
- proof-of-nested-sequence-of-compact-sets-with-lim-diam-zero-has-singleton-intersection
- proof-of-sequence-in-compact-metric-space-has-a-convergent-subsequence
- proof-of-smallest-sigma-algebra-containing-a-collection-of-subsets
- remark-32
- Scalar
- Tangent Plane
- Tangential Intersection
- Term
- theorem-16
- Uniform distribution maximizes entropy
- Vector
- Absolutely Continuous Random Variable
- Circle of Convergence
- Complex Function
- is an inner product space
- Composition
- Conserved Quantity
- First-order system
- Hessian Matrix
- Homeomorphism
- Injective
- Jacobian Matrix
- Layer
- Linear Transformation
- Lipschitz Continuous
- Log is Concave
- mapping-continuous-iff-inverse-images-of-closed-sets-are-closed
- mapping-continuous-iff-inverse-images-of-open-sets-are-open
- Continuity Theorem for Moment Generating Functions
- Minimal Sufficient Statistic
- Moment Generating Function
- Parameterization
- Probability Density Function
- proof-of-theorem-1
- Real Sequence
- remark-3
- remark-30
- remark-45
- Sufficient Statistic
- Weakly Nonlinear Oscillator
- Abelian
- center (group)
- commutator
- cyclic group
- Examples of Rings
- homomorphism (group)
- index
- lagrange-theorem-for-indices
- normal
- order
- permutations-form-group
- simple
- subgroup
- symmetric group
- A Finite Group
- Properties of Group Homomorphisms
- Greatest lower bound
- Estimator
- Parametric Family
- proof-of-intersection-of-nonempty-nested-compact-sets-is-nonempty
- Null Space and Range are Subspaces
- rank
- Compact
- every-k-cell-is-compact-intuition
- proof-of-closed-subsets-of-compact-sets-are-compact
- proof-of-compact-relative-to-subspace
- proof-of-every-k-cell-is-compact
- proof-of-finite-sets-are-compact
- proof-of-nonempty-intersection-of-finitely-many-compact-sets
- Countable Sets Have Outer Measure 0
- A/B Test
- Binomial Distribution
- Central Limit Theorem
- chebyshev-fish
- Chebyshev's Inequality
- chebyshevs-inequality-note
- Conditional Entropy
- Conditional Independence Given Intermediate Step
- Conditional Mutual Information
- Convolution
- corollary-88
- Covariance
- Expected Value
- Function of middle variable forms Markov Chain
- Independent and Identically Distributed
- Jensen's Inequality
- Joint Entropy
- joint-entropy-is-less-than-or-equal-to-entropy-of-parts
- Joint Probability Distribution
- Law of Large Numbers
- law-of-large-numbers-note
- Markov Chain
- markov-inequality-fish
- Markov's Inequality
- Moment Generating Function of a Sum
- Mutual Information
- Negative Binomial Distribution
- Nonnegativity of Mutual Information
- Normal Approximation to the Binomial
- Normal Distribution
- Pairwise Independence
- Poisson Approximation to the Binomial
- Poisson Distribution
- proof-of-chebyshevs-inequality
- proof-of-fanos-inequality
- proof-of-law-of-large-numbers
- remark-14
- Reversibility of Markov Chains
- Self-Information
- Standard Normal Distribution
- Sum of Independent Normal Random Variables
- Sum of Independent Poisson Random Variables
- theorem-7
- Uniform Distribution
- Variance
- Identifiable
- Range (sequence)
- remark-16
- Commutative Ring
- ring-multiplicative-identity
- Ring with Unity
- Continuous Sample Space
- Discrete Sample Space
- Event
- Probability
- proof-of-markovs-inequality
- remark-17
- Bolzano-Weierstrass
- Bounded (sequence)
- Cantor set
- Cauchy Sequence
- Convergent
- Countable subadditivity of outer measure
- Derivation
- Diverge
- every-convergent-sequence-in-a-metric-space-is-a-cauchy-sequence
- infinite-subset-of-countable-is-countable-intuition
- intersection-of-nonempty-nested-compact-sets-is-nonempty
- intersection-of-sequence-of-nested-intervals-is-nonempty
- limit-of-a-function-characterized-by-limits-of-sequences
- limit-point-implies-convergent-sequence
- Limit (Sequence)
- Multinomial Distribution
- note-3
- note-49
- orbit
- proof-of-binary-sequences-are-uncountable
- proof-of-every-convergent-sequence-in-a-metric-space-is-a-cauchy-sequence
- proof-of-limit-of-a-function-characterized-by-limits-of-sequences
- proof-of-non-empty-perfect-sets-in-rk-are-uncountable
- proof-of-reals-are-uncountable
- proof-of-union-of-a-sequence-of-countable-sets-is-countable
- real-sequence-notation
- sequence-in-compact-metric-space-has-a-convergent-subsequence
- A sequence in converges iff its components converge
- sequence-notation
- sequence-range-cardinality
- sequence-terms-not-distinct
- sequence-theorems-context
- Strong Asymptotic Equipartition Property (Shannon--McMillan--Breiman)
- Subsequence
- sums-and-products-of-sequences
- union-of-a-sequence-of-countable-sets-is-countable
- Weak Asymptotic Equipartition Property
- example-4
- smallest-sigma-algebra-containing-a-collection-of-subsets-note
- KL Divergence
- Parameter
- coset
- discrete-metric-satisfies-axioms
- Subgroups of
- infinite-subset-of-countable-is-countable
- Nonadditivity of outer measure
- Outer Measure Preserves Order
- proof-of-cantor-set-contains-no-segment
- proof-of-euclidean-space-is-separable
- proof-of-mapping-continuous-iff-inverse-images-of-closed-sets-are-closed
- proof-of-mapping-continuous-iff-inverse-images-of-open-sets-are-open
- proof-of-union-and-intersection-of-open-and-closed-sets
- rn-vector-space-vs-metric-space
- Separated
- theorem-50
- proof-of-baire-category-theorem-special-case
- proof-of-cantor-set-is-compact
- proof-of-closure-distributes-over-finite-unions
- proof-of-compact-implies-closed
- proof-of-intersection-of-closed-and-compact-is-compact
- proof-of-open-set-in-r1-is-countable-union-of-disjoint-segments
- Least upper bound
- proof-of-sup-is-in-closure-of-bounded-nonempty-set-of-reals
- Known
- proof-of-theorem-19
- proof-of-complex-inner-product-space
- Range is span of transformation of domain basis
- Rank Nullity Theorem
Transitive (depth 2):
- Abelian and Non-Abelian Groups
- Properties of Cosets
- Singularity
- theorem-1
- Hypergeometric Distribution
- convergent-sequences-are-bounded
- weierstrass-note
- cantor-set-is-compact
- cantor-set-is-perfect
- cantor-set-is-uncountable
- Noiseless channel transmitting discrete symbols
- theorem-5
- Cauchy criterion for convergence
- compact-metric-spaces-are-complete
- Complete
- euclidean-spaces-are-complete
- proof-of-cauchy-criterion-for-convergence
- proof-of-limit-of-diameter-of-remaining-points-in-cauchy-sequence-is-zero
- proof-of-theorem-50
- Radius of Convergence
- closed-subsets-of-compact-sets-are-compact
- compact-implies-closed
- compact-relative-to-subspace
- every-k-cell-is-compact
- finite-sets-are-compact
- Heine-Borel
- infinite-subset-has-limit-point-implies-compact
- infinite-subset-of-compact-set-has-limit-point
- intersection-of-closed-and-compact-is-compact
- probability-vectors-form-a-convex-compact-set
- proof-of-infinite-subset-of-compact-set-has-limit-point
- proof-of-real-valued-continuously-differentiable-implies-lipschitz-continuous
- proof-of-uniform-distribution-maximizes-entropy
- proof-of-vector-valued-continuously-differentiable-implies-lipschitz-continuous
- analytic-implies-cr-equations
- Complex Derivative
- Point Singularity
- permutation multiplication
- note-25
- proof-of-chain-rule-for-mutual-information
- Conservative system
- all-parameterizations-of-curve-have-same-line-integral
- composition-of-continuous-functions-is-continuous
- composition-of-continuous-functions-is-continuous-intuition
- example-6
- function-is-continuous-at-point-iff-limit-at-point-equals-function-at-point
- Intermediate Value Theorem
- line-integral-over-a-plane-curve
- proof-of-composition-of-continuous-functions-is-continuous
- proof-of-theorem-12
- smooth
- proof-of-integral-of-one-over-z-around-unit-circle
- doubly-stochastic-maps-increase-entropy-intuition
- note-21
- proof-of-concavity-and-convexity-of-mutual-information
- proof-of-jensens-inequality
- Left Cosets of
- lagrange-theorem-for-indices-intuition
- proof-of-lagrange-theorem-for-indices
- cyclic subgroup
- cyclic-subgroup-generated-by-powers
- recursive
- remark-5
- theorem
- Conditioning Reduces Entropy
- Cross-Entropy
- Entropy Rate
- fanos-inequality-remark
- Gibbs' Inequality
- Chain rule for joint entropy
- lemma-93
- proof-of-concavity-of-entropy
- proof-of-doubly-stochastic-maps-increase-entropy
- proof-of-joint-entropy-is-less-than-or-equal-to-entropy-of-parts
- theorem-12
- Curl
- del
- Directional Derivative
- Left Stochastic Matrix
- Line Integral of Vector Function
- Partial Derivative
- Probability Vector
- remark-36
- The Four Ways to View Matrix Multiplication
- remark-46
- stationary-distribution-note
- Stochastic Matrix
- Bias
- Fano's Inequality
- proof-of-corollary-90
- Conditionally Independent
- Independence
- Odds
- Addition and Multiplication Rules
- Interpretation
- markovs-inequality-note
- proof-of-weak-asymptotic-equipartition-property
- closed-orbits-impossible-in-gradient-systems-intuition
- proof-of-processing-cannot-increase-information
- closed-orbits-impossible-in-gradient-systems
- Boundary
- homomorphism-injective-iff-trivial-kernel
- kernel
- proof-of-corollary-95
- proof-of-gibbs-inequality
- proof-of-lemma-93
- proof-of-log-sum-inequality
- proof-of-conditioning-reduces-entropy
- Conditional Relative Entropy
- convexity-of-relative-entropy-intuition
- proof-of-chain-rule-for-relative-entropy
- proof-of-nonnegativity-of-conditional-relative-entropy
- gravitational-potential-is-a-solution-to-laplaces-equation
- Neural Network
- proof-of-limit-of-a-function-at-a-point-is-unique-if-it-exists
- proof-of-theorem-7
- Stationary Distribution of an Ergodic Chain
- Subsequential limit
- example-5
- remark-6
- remark-8
- Tangent Space
- Ergodic
- note-19
- proof-of-characterization-of-sufficiency
- proof-of-data-processing-inequality
- Basis and Dimension for Column Space
- Basis and Dimension for Left Nullspace
- Basis and Dimension for Nullspace
- Basis and Dimension for Row Space
- Doubly stochastic maps increase entropy
- Doubly Stochastic Matrix
- Four Fundamental Subspaces
- matrix product
- cantor-bendixson-theorem
- Closure
- Condensation Point
- Connected
- Converge
- euclidean-space-is-metric-space
- every-metric-space-where-every-infinite-subset-has-a-limit-point-is-separable
- example-52
- heine-borel-note
- Limit
- metric-space-context
- Open Relative
- proof-of-cantor-bendixson-theorem
- proof-of-euclidean-space-is-metric-space
- Separable
- set-and-closure-have-same-limit-points
- set-is-its-closure-iff-it-is-closed
- Multinomial Coefficient
- Concavity and Convexity of Mutual Information
- proof-of-nonnegativity-of-mutual-information
- proof-of-nonexistence-of-extension-of-length-to-all-subsets-of-reals
- Special case of Blaire's theorem
- every-neighborhood-is-an-open-set
- open-closed-intuition
- open-iff-complement-closed
- open-set-in-r1-is-countable-union-of-disjoint-segments
- proof-of-every-neighborhood-is-an-open-set
- proof-of-limit-points-form-closed-set
- proof-of-open-iff-complement-closed
- proof-of-open-relative-iff-intersection-with-open-subset
- proof-of-set-is-its-closure-iff-it-is-closed
- cycle
- Orbits of a Permutation in
- alternating group
- bifurcation
- Parameters Factor Through the Parameterization
- fundamental-theorem-of-line-integrals
- remark-10
- remark-11
- theorem-7-intuition
- Bernoulli Process
- Log Probability
- p-value
- proof-of-theorem-9
- Characterization of Sufficiency
- Conditional Probability Distribution
- Convexity of Relative Entropy
- Product Distribution
- proof-of-convexity-of-relative-entropy
- proof-of-nonnegativity-of-relative-entropy
- Division Ring
- Multiplicative Inverse
- Parallel
- Vector Multiplication by a Scalar
- Gradient
- Potential Function
- proof-of-log-is-concave
- proof-of-connected-sets-in-r1-are-intervals
- proof-of-sequence-in-rk-converges-iff-its-components-converge
- theorem-7-remark
- Simple Poles on the Real Axis
- Even Integers as a Subgroup
- proof-of-theorem-23
- theorem-23
- characterization-of-sufficiency-example
- find-tangent-plane
- proof-of-gradient-as-surface-normal-vector
- Surface Normal
- concavity-of-entropy-intuition
- Confidence Interval for a Mean, Known Variance
- Confidence Interval for a Mean, Unknown Variance
- Standard Deviation
- variance-interpretation
- Bound vector
- Cauchy-Schwarz Inequality
- Cross Product
- Difference equation
- Direction
- incompressible
- Inner product
- invariance-of-curl
- Linear Combination
- Neuron
- note-5
- note-9
- Perpendicular
- projection
- Pythagorean Theorem
- Surface Normal Vector
- Unit Vector
- Vector Addition
- Vector Equality
- Divergence
- Divergence Theorem, or, Gauss's Theorem
- Irrotational
- Surface Integral over Vector Field
Transitive (depth 3):
- bifurcation point
- Saddle-Node
- Transcritical
- proof-of-heine-borel
- closure-distributes-over-finite-unions
- proof-of-analytic-implies-cr-equations
- condensation-points-of-an-uncountable-subset-of-rk-are-perfect
- proof-of-joint-is-marginal-times-conditional
- Nonnegativity of Conditional Mutual Information
- proof-of-conditional-independence-given-intermediate-step
- proof-of-nonnegativity-of-conditional-mutual-information
- connected-sets-in-r1-are-intervals
- conservative-systems-have-no-attracting-fixed-points
- proof-of-conservative-systems-have-no-attracting-fixed-points
- Binomial Series
- proof-of-sequence-converges-iff-neighborhood-contains-all-but-finitely-many-points
- Model Training
- remark-23
- cyclic notation
- disjoint (cycle)
- transposition
- directional-derivative-is-inner-product-of-vector-and-grad
- Normal Derivative
- Zero Vector
- Field
- proof-of-weierstrass
- proof-of-set-and-closure-have-same-limit-points
- fanos-inequality-remark-2
- proof-of-corollary-88
- Weak Form of Fano's Inequality
- Row space and nullspace are orthogonal complements
- outer-measure-of-a-closed-interval-note
- Conditional Probability
- corollary-95
- Multiplication Rule for Distributions
- cos-characterization-of-dot-product
- proof-of-fourier-basis
- proof-of-chain-rule-for-entropy
- proof-of-mutual-information-and-entropy
- Cauchy Principal Value
- limit-of-a-function-at-a-point-is-unique-if-it-exists
- note-7
- Unit
- open-relative-iff-intersection-with-open-subset
- intuition-2
- proof-of-pythagorean-theorem
- cauchy-schwarz-inequality-intuition
- proof-of-cauchy-schwarz-inequality
- proof-of-corollary-77
- Radius of Convergence and Nearest Singularity
- Uniqueness of Power Series Expansions
- euclidean-space-is-separable
- proof-of-every-metric-space-where-every-infinite-subset-has-a-limit-point-is-separable
- theorem-9
- arc-length-in-plane
- Line Integral
- proof-of-strong-asymptotic-equipartition-property-shannon-mcmillan-breiman
- Tangent Vector
Transitive (depth 4):
- permutation-as-product-of-disjoint-cycles
- Examples of Fields
- Real Numbers
- even (permutation)
- odd (permutation)
- permutation-parity-is-well-defined
Transitive (depth 5):
- Adding an Affine Function Preserves Convexity
- Affine Precomposition Preserves Convexity
- Ball
- Bounded
- Commensurable
- Complex Numbers
- condensation-point-example
- Convex Function
- Convex Set
- every-interval-is-uncountable
- Half-open Interval
- Interval
- k-cell
- length of open interval
- Logarithm
- Magnitude
- Orthogonal Decomposition
- Outer measure is translation invariant
- Outer measure of a closed interval
- product-of-convex-sets-is-convex
- proof-of-rationals-are-dense-in-reals
- rational-between-any-two-reals
- rationals-are-dense-in-reals
- reals-are-archimedean
- reals-are-uncountable
- Segment
- sup-is-in-closure-of-bounded-nonempty-set-of-reals
- translation
Transitive (depth 6):
- balls-are-convex
- balls-are-convex-note
- Neighborhood
- proof-of-balls-are-convex
- proof-of-limits-of-sequences-are-unique
- Weierstrass
- Finite Geometric Series
- Fourier Basis
- Generalized Binomial Coefficient
- Concave Function
- Strictly Convex Function
- Confidence Interval
- proof-of-cantor-set-is-not-empty
- proof-of-cantor-set-is-perfect
- proof-of-rational-between-any-two-reals
- cantor-set-contains-no-segment
Transitive (depth 7):
- Concavity of Entropy
- Large-Sample Confidence Interval for a Proportion
- Interior Point
- Limit Point
- neighborhood-of-limit-point-contains-infinitely-many-points
- proof-of-neighborhood-of-limit-point-contains-infinitely-many-points
- proof-of-set-and-its-limit-points-may-have-different-limit-points
- sequence-converges-iff-neighborhood-contains-all-but-finitely-many-points
Transitive (depth 8):
- Closed
- Dense
- Isolated Point
- limit-points-form-closed-set
- only-infinite-sets-have-limit-points
- Perfect Set
- proof-of-countable-closed-set-has-isolated-points
- proof-of-limit-point-implies-convergent-sequence
- set-and-its-limit-points-may-have-different-limit-points
- proof-of-convergent-sequences-are-bounded
Transitive (depth 9):
Transitive (depth 10):
The objects that make up a set are called its elements or its members.
Referenced by (58 direct, 542 transitive)
Direct references:
- matrix
- Scalar
- Vector
- Free vector
- Matrix
- n-tuple
- Entry
- Continuous
- proof-of-function-is-continuous-at-point-iff-limit-at-point-equals-function-at-point
- proof-of-sequence-in-compact-metric-space-has-a-convergent-subsequence
- limit-of-diameter-of-remaining-points-in-cauchy-sequence-is-zero
- nested-sequence-of-compact-sets-with-lim-diam-zero-has-singleton-intersection
- proof-of-nested-sequence-of-compact-sets-with-lim-diam-zero-has-singleton-intersection
- Vector Differential Calculus
- Vector Function
- Scalar Function
- theorem-19
- Tangent Plane
- gradient-as-surface-normal-vector
- remark-32
- Manifold
- Derivatives of Complex Functions
- Complex Differentiable
- Analytic
- Analytic at a point
- Derivative Function
- Taylor Expansion Theorem
- Residue Integration
- Nontrivial intervals are uncountable
- -Algebra
- sigma algebras are closed under countable intersection
- measurable space
- proof-of-smallest-sigma-algebra-containing-a-collection-of-subsets
- Convex Combination
- note-8
- Tangential Intersection
- existence-and-uniqueness-of-ivp-solutions
- Entropy
- note-15
- theorem-16
- Uniform distribution maximizes entropy
- Mutual Independence
- Sample Space
- Membership criterion
- Axiom of Extensionality
- subset
- superset
- Empty Set
- Function
- Value
- Term
- Formal System
- proof-of-infinite-subset-of-countable-is-countable
- n-tuples-of-countable-elements-are-countable
- proof-of-n-tuples-of-countable-elements-are-countable
- binary-sequences-are-uncountable
- Metric Space
- Open
Transitive (depth 1):
- Cauchy-Goursat Theorem
- Cauchy-Riemann Equations
- Cauchy's Integral Theorem
- Entire
- intuition-13
- proof-of-cauchys-integral-theorem
- Removable Singularity
- Residue Theorem
- theorem-1-intuition
- theorem-6
- example-4
- Singularity
- theorem-1
- proof-of-set-equality-via-subset-inclusion
- analytic-implies-cr-equations
- remark-3
- all-parameterizations-of-curve-have-same-line-integral
- Cauchy Integral Theorem
- composition-of-continuous-functions-is-continuous
- composition-of-continuous-functions-is-continuous-intuition
- Conserved Quantity
- Continuously Differentiable
- Contour Integral
- Divergence Theorem of Gauss
- example-6
- Expected Value
- function-is-continuous-at-point-iff-limit-at-point-equals-function-at-point
- Green's Theorem
- Homeomorphism
- Intermediate Value Theorem
- line-integral-over-a-plane-curve
- mapping-continuous-iff-inverse-images-of-closed-sets-are-closed
- mapping-continuous-iff-inverse-images-of-open-sets-are-open
- Mean Value Inequality for Vector Valued Functions
- Mean Value Theorem
- note-11
- proof-of-composition-of-continuous-functions-is-continuous
- proof-of-mean-value-inequality-for-vector-valued-functions
- proof-of-probability-vectors-form-a-convex-compact-set
- proof-of-real-valued-continuously-differentiable-implies-lipschitz-continuous
- proof-of-theorem-12
- proof-of-vector-valued-continuously-differentiable-implies-lipschitz-continuous
- remark-9
- smooth
- Stoke's Theorem
- Variance
- Volume Integral
- Well-posedness of IVPs
- doubly-stochastic-maps-increase-entropy-intuition
- note-21
- proof-of-concavity-and-convexity-of-mutual-information
- proof-of-jensens-inequality
- Conditional Mutual Information
- Conditioning Reduces Entropy
- Cross-Entropy
- Entropy Rate
- fanos-inequality-remark
- Gibbs' Inequality
- Chain rule for joint entropy
- joint-entropy-is-less-than-or-equal-to-entropy-of-parts
- KL Divergence
- lemma-93
- Noiseless channel transmitting discrete symbols
- note-25
- proof-of-concavity-of-entropy
- proof-of-doubly-stochastic-maps-increase-entropy
- proof-of-joint-entropy-is-less-than-or-equal-to-entropy-of-parts
- proof-of-uniform-distribution-maximizes-entropy
- remark-14
- theorem-12
- Weak Asymptotic Equipartition Property
- Curl
- del
- Directional Derivative
- Hessian Matrix
- Jacobian Matrix
- Left Stochastic Matrix
- Line Integral of Vector Function
- Markov Chain
- note-3
- Partial Derivative
- Probability Vector
- remark-36
- The Four Ways to View Matrix Multiplication
- remark-46
- stationary-distribution-note
- Stochastic Matrix
- remark-5
- Absolutely Continuous Random Variable
- Cardinal Number, Equivalent
- Circle of Convergence
- Complex Function
- is an inner product space
- Component Function
- Composition
- Domain of Definition
- First-order system
- Injective
- Layer
- Linear Transformation
- Lipschitz Continuous
- Log is Concave
- Continuity Theorem for Moment Generating Functions
- Minimal Sufficient Statistic
- Moment Generating Function
- nonexistence of extension of length to all subsets of
- Parameterization
- Probability Density Function
- Probability Distribution
- proof-of-theorem-1
- Random Variable
- Range
- Real Sequence
- remark-30
- remark-45
- remark-7
- Sequence
- Sufficient Statistic
- Weakly Nonlinear Oscillator
- proof-of-compact-metric-spaces-are-complete
- Boundary
- example-5
- remark-6
- remark-8
- Tangent Space
- Basis and Dimension for Column Space
- Basis and Dimension for Left Nullspace
- Basis and Dimension for Nullspace
- Basis and Dimension for Row Space
- Doubly stochastic maps increase entropy
- Doubly Stochastic Matrix
- Four Fundamental Subspaces
- matrix product
- Estimator
- example-8
- Identically Distributed
- Parametric Family
- Statistical Model
- cantor-bendixson-theorem
- Cauchy Sequence
- Closure
- Compact
- compact-implies-closed
- compact-metric-space-has-countable-base
- compact-metric-spaces-are-complete
- Complete
- Condensation Point
- Connected
- Converge
- Diameter
- diameter-of-set-equals-diameter-of-closure
- discrete-metric-satisfies-axioms
- euclidean-space-is-metric-space
- every-convergent-sequence-in-a-metric-space-is-a-cauchy-sequence
- every-metric-space-where-every-infinite-subset-has-a-limit-point-is-separable
- every-separable-metric-space-has-a-countable-base
- example-52
- heine-borel-note
- infinite-subset-has-limit-point-implies-compact
- Limit
- limit-of-a-function-characterized-by-limits-of-sequences
- metric-space-context
- nonempty-intersection-of-finitely-many-compact-sets
- Open Cover
- Open Relative
- proof-of-bolzano-weierstrass
- proof-of-cantor-bendixson-theorem
- proof-of-cauchy-criterion-for-convergence
- proof-of-compact-implies-closed
- proof-of-compact-metric-space-has-countable-base
- proof-of-euclidean-space-is-metric-space
- proof-of-euclidean-spaces-are-complete
- proof-of-every-convergent-sequence-in-a-metric-space-is-a-cauchy-sequence
- proof-of-every-separable-metric-space-has-a-countable-base
- proof-of-finite-sets-are-compact
- rn-vector-space-vs-metric-space
- Separable
- Separated
- sequence-in-compact-metric-space-has-a-convergent-subsequence
- sequence-theorems-context
- set-and-closure-have-same-limit-points
- set-is-its-closure-iff-it-is-closed
- subsequential-limits-of-a-metric-space-form-a-closed-set
- theorem-50
- theorem-7
- weierstrass-note
- Independent and Identically Distributed
- proof-of-euclidean-space-is-separable
- Special case of Blaire's theorem
- Base
- Differentiable
- Domain
- every-neighborhood-is-an-open-set
- open-closed-intuition
- open-iff-complement-closed
- open-set-in-r1-is-countable-union-of-disjoint-segments
- proof-of-every-k-cell-is-compact
- proof-of-every-neighborhood-is-an-open-set
- proof-of-limit-points-form-closed-set
- proof-of-mapping-continuous-iff-inverse-images-of-closed-sets-are-closed
- proof-of-mapping-continuous-iff-inverse-images-of-open-sets-are-open
- proof-of-nonempty-intersection-of-finitely-many-compact-sets
- proof-of-open-iff-complement-closed
- proof-of-open-relative-iff-intersection-with-open-subset
- proof-of-set-is-its-closure-iff-it-is-closed
- proof-of-union-and-intersection-of-open-and-closed-sets
- Second Derivative Test for Convexity
- Total derivatives are unique
- union-and-intersection-of-open-and-closed-sets
- Continuous Sample Space
- Discrete Sample Space
- Event
- Probability
- proof-of-markovs-inequality
- remark-17
- Parallel
- Vector Multiplication by a Scalar
- grad-div-curl-related
- Gradient
- Gradient System
- Potential Function
- proof-of-theorem-19
- smallest sigma algebra containing a collection of subsets.
- smallest-sigma-algebra-containing-a-collection-of-subsets-note
- coset
- Countable Sets Have Outer Measure 0
- Countable subadditivity of outer measure
- Subgroups of
- infinite-subset-of-countable-is-countable
- Nonadditivity of outer measure
- Null Space
- Outer Measure Preserves Order
- poincare-bendixson
- proof-of-binary-sequences-are-uncountable
- proof-of-cantor-set-contains-no-segment
- proof-of-union-of-a-sequence-of-countable-sets-is-countable
- set-equality-via-subset-inclusion
- subgroup
- find-tangent-plane
- proof-of-gradient-as-surface-normal-vector
- Surface Normal
- sequence-terms-not-distinct
- concavity-of-entropy-intuition
- Known
- Bound vector
- Cauchy-Schwarz Inequality
- Cross Product
- Difference equation
- Direction
- incompressible
- Inner product
- invariance-of-curl
- Linear Combination
- Neuron
- note-5
- note-9
- Perpendicular
- projection
- proof-of-theorem-9
- Pythagorean Theorem
- remark-16
- Surface Normal Vector
- Unit Vector
- Vector Addition
- Vector Equality
- Surface Integral over Vector Field
- Vector Field
Transitive (depth 2):
- proof-of-condensation-points-of-an-uncountable-subset-of-rk-are-perfect
- proof-of-infinite-subset-has-limit-point-implies-compact
- infinite-subset-of-countable-is-countable-note
- Cauchy criterion for convergence
- euclidean-spaces-are-complete
- note-49
- proof-of-limit-of-diameter-of-remaining-points-in-cauchy-sequence-is-zero
- proof-of-theorem-50
- Radius of Convergence
- closure-distributes-over-finite-unions
- proof-of-non-empty-perfect-sets-in-rk-are-uncountable
- Cantor set
- cantor-set-is-compact
- closed-subsets-of-compact-sets-are-compact
- compact-relative-to-subspace
- every-k-cell-is-compact
- finite-sets-are-compact
- Heine-Borel
- infinite-subset-of-compact-set-has-limit-point
- intersection-of-closed-and-compact-is-compact
- intersection-of-nonempty-nested-compact-sets-is-nonempty
- probability-vectors-form-a-convex-compact-set
- proof-of-cantor-set-is-compact
- proof-of-closed-subsets-of-compact-sets-are-compact
- proof-of-compact-relative-to-subspace
- proof-of-infinite-subset-of-compact-set-has-limit-point
- proof-of-intersection-of-closed-and-compact-is-compact
- Complex Derivative
- Point Singularity
- permutation multiplication
- condensation-points-of-an-uncountable-subset-of-rk-are-perfect
- proof-of-chain-rule-for-mutual-information
- proof-of-fanos-inequality
- connected-sets-in-r1-are-intervals
- proof-of-connected-sets-in-r1-are-intervals
- proof-of-open-set-in-r1-is-countable-union-of-disjoint-segments
- Conservative system
- Real Valued Continuously Differentiable implies Lipschitz Continuous
- Vector Valued Continuously Differentiable implies Lipschitz Continuous
- proof-of-integral-of-one-over-z-around-unit-circle
- Binomial Series
- Convergent
- convergent-sequences-are-bounded
- Diverge
- note-31
- proof-of-sequence-converges-iff-neighborhood-contains-all-but-finitely-many-points
- proof-of-subsequential-limits-of-a-metric-space-form-a-closed-set
- proof-of-theorem-23
- A sequence in converges iff its components converge
- Subsequential limit
- theorem-23
- Properties of Cosets
- Left Cosets of
- index
- lagrange-theorem-for-indices-intuition
- normal
- proof-of-lagrange-theorem-for-indices
- Model Training
- remark-23
- Irrotational
- Laplacian
- Level Surface
- Total Derivative
- directional-derivative-is-inner-product-of-vector-and-grad
- Normal Derivative
- Zero Vector
- closed-path-of-path-independent-integral-is-zero
- Parameter Space
- Path Independent
- remark-12
- Strong Asymptotic Equipartition Property (Shannon--McMillan--Breiman)
- Bias
- Fano's Inequality
- Probability of Error
- proof-of-corollary-90
- Binomial Distribution
- Conditionally Independent
- Independence
- Odds
- Pairwise Independence
- Poisson Distribution
- Addition and Multiplication Rules
- proof-of-set-and-closure-have-same-limit-points
- Jensen's Inequality
- markov-inequality-fish
- Interpretation
- markovs-inequality-note
- proof-of-weak-asymptotic-equipartition-property
- closed-orbits-impossible-in-gradient-systems-intuition
- Row space and nullspace are orthogonal complements
- proof-of-nonnegativity-of-conditional-mutual-information
- proof-of-nonnegativity-of-conditional-relative-entropy
- proof-of-nonnegativity-of-mutual-information
- proof-of-nonnegativity-of-relative-entropy
- closed-orbits-impossible-in-gradient-systems
- Law of Large Numbers
- Identifiable
- cos-characterization-of-dot-product
- proof-of-complex-inner-product-space
- proof-of-fourier-basis
- theorem-7-remark
- proof-of-chain-rule-for-entropy
- proof-of-conditioning-reduces-entropy
- proof-of-mutual-information-and-entropy
- Conditional Relative Entropy
- convexity-of-relative-entropy-intuition
- Mutual Information
- proof-of-chain-rule-for-relative-entropy
- Neural Network
- Cauchy Principal Value
- limit-of-a-function-at-a-point-is-unique-if-it-exists
- proof-of-limit-of-a-function-at-a-point-is-unique-if-it-exists
- proof-of-theorem-7
- Null Space and Range are Subspaces
- Range is span of transformation of domain basis
- rank
- Rank Nullity Theorem
- proof-of-gibbs-inequality
- Conditional Independence Given Intermediate Step
- Ergodic
- note-19
- proof-of-characterization-of-sufficiency
- proof-of-data-processing-inequality
- proof-of-processing-cannot-increase-information
- Reversibility of Markov Chains
- Stationary Distribution of an Ergodic Chain
- Moment Generating Function of a Sum
- proof-of-nonexistence-of-extension-of-length-to-all-subsets-of-reals
- proof-of-intersection-of-nonempty-nested-compact-sets-is-nonempty
- every-k-cell-is-compact-intuition
- open-relative-iff-intersection-with-open-subset
- Parameters Factor Through the Parameterization
- proof-of-analytic-implies-cr-equations
- intuition-2
- proof-of-pythagorean-theorem
- gravitational-potential-is-a-solution-to-laplaces-equation
- Bernoulli Process
- chebyshev-fish
- chebyshevs-inequality-note
- Cumulative Distribution Function
- Geometric Distribution
- Hypergeometric Distribution
- Log Probability
- Multinomial Distribution
- Negative Binomial Distribution
- p-value
- Uniform Distribution
- Convolution
- Characterization of Sufficiency
- Conditional Probability Distribution
- Convexity of Relative Entropy
- Poisson Approximation to the Binomial
- Product Distribution
- proof-of-convexity-of-relative-entropy
- cauchy-schwarz-inequality-intuition
- proof-of-cauchy-schwarz-inequality
- A/B Test
- Central Limit Theorem
- Chebyshev's Inequality
- Conditional Entropy
- corollary-88
- Covariance
- Discrete Random Variable
- Function of middle variable forms Markov Chain
- Joint Entropy
- Joint Probability Distribution
- law-of-large-numbers-note
- Markov's Inequality
- Nonnegativity of Mutual Information
- Normal Approximation to the Binomial
- Normal Distribution
- proof-of-chebyshevs-inequality
- proof-of-law-of-large-numbers
- Self-Information
- Standard Normal Distribution
- State Space
- Sum of Independent Normal Random Variables
- Sum of Independent Poisson Random Variables
- Range (sequence)
- real-sequence-notation
- proof-of-log-is-concave
- euclidean-space-is-separable
- proof-of-every-metric-space-where-every-infinite-subset-has-a-limit-point-is-separable
- Bolzano-Weierstrass
- Bounded (sequence)
- Derivation
- Discrete Channel
- infinite-subset-of-countable-is-countable-intuition
- intersection-of-sequence-of-nested-intervals-is-nonempty
- limit-point-implies-convergent-sequence
- Limit (Sequence)
- orbit
- proof-of-limit-of-a-function-characterized-by-limits-of-sequences
- proof-of-reals-are-uncountable
- sequence-notation
- sequence-range-cardinality
- Subsequence
- sums-and-products-of-sequences
- union-of-a-sequence-of-countable-sets-is-countable
- Radius of Convergence and Nearest Singularity
- theorem-9
- arc-length-in-plane
- Line Integral
- Parameter
- proof-of-strong-asymptotic-equipartition-property-shannon-mcmillan-breiman
- alternating group
- commutator
- cyclic subgroup
- Even Integers as a Subgroup
- Properties of Group Homomorphisms
- kernel
- lagrange-theorem-for-indices
- order
- simple
- characterization-of-sufficiency-example
- proof-of-baire-category-theorem-special-case
- proof-of-closure-distributes-over-finite-unions
- Tangent Vector
- Confidence Interval for a Mean, Known Variance
- Confidence Interval for a Mean, Unknown Variance
- Standard Deviation
- variance-interpretation
- Vector Space
- Divergence
- Divergence Theorem, or, Gauss's Theorem
Transitive (depth 3):
- cantor-set-is-perfect
- cantor-set-is-uncountable
- proof-of-heine-borel
- proof-of-joint-is-marginal-times-conditional
- Nonnegativity of Conditional Mutual Information
- proof-of-conditional-independence-given-intermediate-step
- conservative-systems-have-no-attracting-fixed-points
- proof-of-conservative-systems-have-no-attracting-fixed-points
- cyclic-subgroup-generated-by-powers
- recursive
- theorem
- Capacity
- proof-of-weierstrass
- fanos-inequality-remark-2
- proof-of-corollary-88
- Weak Form of Fano's Inequality
- outer-measure-of-a-closed-interval-note
- Conditional Probability
- corollary-95
- Multiplication Rule for Distributions
- proof-of-corollary-95
- proof-of-lemma-93
- proof-of-log-sum-inequality
- homomorphism-injective-iff-trivial-kernel
- fundamental-theorem-of-line-integrals
- remark-10
- remark-11
- note-7
- Multinomial Coefficient
- Concavity and Convexity of Mutual Information
- cycle
- Orbits of a Permutation in
- bifurcation
- theorem-7-intuition
- permutations-form-group
- proof-of-corollary-77
- Uniqueness of Power Series Expansions
- proof-of-sequence-in-rk-converges-iff-its-components-converge
- Simple Poles on the Real Axis
Transitive (depth 4):
Transitive (depth 5):
Referenced by (1 direct)
Direct references:
If and are sets such that every element of is also an element of then we say is a subset of denoted as Formally,
Referenced by (37 direct, 228 transitive)
Direct references:
- subgroup
- Subgroups of
- coset
- Null Space
- proof-of-mapping-continuous-iff-inverse-images-of-open-sets-are-open
- proof-of-mapping-continuous-iff-inverse-images-of-closed-sets-are-closed
- proof-of-bolzano-weierstrass
- subsequential-limits-of-a-metric-space-form-a-closed-set
- Diameter
- proof-of-compact-metric-spaces-are-complete
- theorem-50
- Manifold
- Outer Measure
- Countable Sets Have Outer Measure 0
- Outer Measure Preserves Order
- Countable subadditivity of outer measure
- Nonadditivity of outer measure
- nonexistence of extension of length to all subsets of
- -Algebra
- example-4
- example-8
- smallest sigma algebra containing a collection of subsets.
- Real Numbers
- theorem-19
- poincare-bendixson
- Event
- set-equality-via-subset-inclusion
- Formal System
- proof-of-cantor-set-contains-no-segment
- Separated
- infinite-subset-of-countable-is-countable
- proof-of-union-of-a-sequence-of-countable-sets-is-countable
- proof-of-binary-sequences-are-uncountable
- rn-vector-space-vs-metric-space
- discrete-metric-satisfies-axioms
- proof-of-union-and-intersection-of-open-and-closed-sets
- proof-of-euclidean-space-is-separable
Transitive (depth 1):
- Properties of Cosets
- Left Cosets of
- index
- lagrange-theorem-for-indices-intuition
- normal
- proof-of-lagrange-theorem-for-indices
- proof-of-euclidean-spaces-are-complete
- Binomial Distribution
- Conditionally Independent
- Independence
- Mutual Independence
- Odds
- Pairwise Independence
- Poisson Distribution
- Probability
- Addition and Multiplication Rules
- remark-5
- Boundary
- example-5
- remark-6
- remark-8
- Tangent Space
- proof-of-nonexistence-of-extension-of-length-to-all-subsets-of-reals
- Null Space and Range are Subspaces
- rank
- Connected
- proof-of-connected-sets-in-r1-are-intervals
- measurable space
- proof-of-smallest-sigma-algebra-containing-a-collection-of-subsets
- sigma algebras are closed under countable intersection
- smallest-sigma-algebra-containing-a-collection-of-subsets-note
- alternating group
- commutator
- cyclic subgroup
- Even Integers as a Subgroup
- Properties of Group Homomorphisms
- kernel
- lagrange-theorem-for-indices
- note-15
- order
- simple
- note-31
Transitive (depth 2):
- Hypergeometric Distribution
- Normal Approximation to the Binomial
- Poisson Approximation to the Binomial
- Divergence Theorem of Gauss
- Stoke's Theorem
- Conditional Independence Given Intermediate Step
- Markov Chain
- Nonnegativity of Conditional Mutual Information
- proof-of-conditional-independence-given-intermediate-step
- proof-of-data-processing-inequality
- proof-of-nonnegativity-of-conditional-mutual-information
- Sufficient Statistic
- connected-sets-in-r1-are-intervals
- Domain
- proof-of-open-set-in-r1-is-countable-union-of-disjoint-segments
- cyclic-subgroup-generated-by-powers
- Bernoulli Process
- Central Limit Theorem
- Conditional Entropy
- Conditional Probability
- Convolution
- corollary-95
- Geometric Distribution
- Multiplication Rule for Distributions
- Moment Generating Function of a Sum
- Multinomial Distribution
- Negative Binomial Distribution
- Nonnegativity of Mutual Information
- proof-of-nonnegativity-of-mutual-information
- Sum of Independent Normal Random Variables
- Sum of Independent Poisson Random Variables
- homomorphism-injective-iff-trivial-kernel
- Absolutely Continuous Random Variable
- Estimator
- Identically Distributed
- Parametric Family
- Statistical Model
- Independent and Identically Distributed
- theorem-12
- theorem-7
- note-5
- chebyshev-fish
- chebyshevs-inequality-note
- Cumulative Distribution Function
- Log Probability
- markov-inequality-fish
- Interpretation
- markovs-inequality-note
- note-8
- p-value
- Probability Distribution
- proof-of-jensens-inequality
- proof-of-markovs-inequality
- proof-of-theorem-9
- stationary-distribution-note
- Uniform Distribution
- Basis and Dimension for Column Space
- Basis and Dimension for Left Nullspace
- Basis and Dimension for Nullspace
- Basis and Dimension for Row Space
- Cauchy's Integral Theorem
- Simple Poles on the Real Axis
- remark-3
Transitive (depth 3):
- Probability Density Function
- note-25
- Conditional Probability Distribution
- Cauchy Integral Theorem
- closed-path-of-path-independent-integral-is-zero
- Contour Integral
- Green's Theorem
- Parameter Space
- Path Independent
- Random Variable
- remark-12
- Taylor Expansion Theorem
- Volume Integral
- Well-posedness of IVPs
- Bias
- Fano's Inequality
- Probability of Error
- proof-of-corollary-90
- Law of Large Numbers
- lemma-93
- proof-of-weak-asymptotic-equipartition-property
- Weak Asymptotic Equipartition Property
- proof-of-chain-rule-for-relative-entropy
- note-7
- Self-Information
- Ergodic
- note-19
- proof-of-characterization-of-sufficiency
- proof-of-fanos-inequality
- proof-of-processing-cannot-increase-information
- Reversibility of Markov Chains
- Stationary Distribution of an Ergodic Chain
- Strong Asymptotic Equipartition Property (Shannon--McMillan--Breiman)
- Multinomial Coefficient
- Characterization of Sufficiency
- Conditional Relative Entropy
- Convexity of Relative Entropy
- Expected Value
- Product Distribution
- proof-of-convexity-of-relative-entropy
- proof-of-nonnegativity-of-relative-entropy
- Variance
- proof-of-corollary-77
- Parameter
- Parameterization
- remark-16
- remark-17
- characterization-of-sufficiency-example
- Minimal Sufficient Statistic
Transitive (depth 4):
- proof-of-concavity-and-convexity-of-mutual-information
- proof-of-joint-is-marginal-times-conditional
- proof-of-nonnegativity-of-conditional-relative-entropy
- proof-of-cauchys-integral-theorem
- proof-of-integral-of-one-over-z-around-unit-circle
- proof-of-concavity-of-entropy
- Cross-Entropy
- Entropy
- Entropy Rate
- Jensen's Inequality
- corollary-88
- fanos-inequality-remark-2
- proof-of-corollary-88
- Weak Form of Fano's Inequality
- bifurcation
- fanos-inequality-remark
- Identifiable
- Parameters Factor Through the Parameterization
- fundamental-theorem-of-line-integrals
- remark-10
- remark-11
- theorem-7-intuition
- Mutual Information
- A/B Test
- Chebyshev's Inequality
- Conditional Mutual Information
- Covariance
- Discrete Random Variable
- Function of middle variable forms Markov Chain
- Joint Entropy
- joint-entropy-is-less-than-or-equal-to-entropy-of-parts
- Joint Probability Distribution
- law-of-large-numbers-note
- Markov's Inequality
- Continuity Theorem for Moment Generating Functions
- Moment Generating Function
- Normal Distribution
- proof-of-chebyshevs-inequality
- proof-of-law-of-large-numbers
- remark-14
- Standard Normal Distribution
- State Space
- theorem-16
- Uniform distribution maximizes entropy
- Confidence Interval for a Mean, Known Variance
- Confidence Interval for a Mean, Unknown Variance
- Standard Deviation
- variance-interpretation
Transitive (depth 5):
- bifurcation point
- Saddle-Node
- Transcritical
- proof-of-chain-rule-for-mutual-information
- Gibbs' Inequality
- KL Divergence
- Model Training
- Conditioning Reduces Entropy
- doubly-stochastic-maps-increase-entropy-intuition
- Chain rule for joint entropy
- Noiseless channel transmitting discrete symbols
- proof-of-doubly-stochastic-maps-increase-entropy
- proof-of-joint-entropy-is-less-than-or-equal-to-entropy-of-parts
- proof-of-uniform-distribution-maximizes-entropy
- proof-of-corollary-95
- proof-of-gibbs-inequality
- proof-of-lemma-93
- proof-of-log-sum-inequality
- proof-of-conditioning-reduces-entropy
- Concavity and Convexity of Mutual Information
- note-3
- concavity-of-entropy-intuition
Transitive (depth 6):
Suppose and are sets.
| The union of and is the set | |
| The intersection of and is the set | |
| The difference (also: set difference, relative complement) of and is the set |
Referenced by (5 direct, 37 transitive)
Direct references:
Transitive (depth 1):
- example-4
- measurable space
- sigma algebras are closed under countable intersection
- smallest-sigma-algebra-containing-a-collection-of-subsets-note
Transitive (depth 2):
- Absolutely Continuous Random Variable
- Estimator
- example-8
- Identically Distributed
- Parametric Family
- Statistical Model
Transitive (depth 3):
- Probability Density Function
- Bias
- Fano's Inequality
- Probability of Error
- proof-of-corollary-90
- Independent and Identically Distributed
- Parameter
- Parameterization
- remark-16
- remark-17
Transitive (depth 4):
- corollary-88
- fanos-inequality-remark-2
- proof-of-corollary-88
- Weak Form of Fano's Inequality
- Law of Large Numbers
- lemma-93
- proof-of-weak-asymptotic-equipartition-property
- Weak Asymptotic Equipartition Property
- bifurcation
- fanos-inequality-remark
- Identifiable
- Parameters Factor Through the Parameterization
- Parameter Space
- Convolution
Transitive (depth 5):
Consider two sets, and whose elements may be any objects whatsoever, and suppose that with each element of there is associated, in some manner, any element of which we denote by Then is said to be a function from to
Referenced by (52 direct, 418 transitive)
Direct references:
- Log is Concave
- Linear Transformation
- note-11
- proof-of-function-is-continuous-at-point-iff-limit-at-point-equals-function-at-point
- Composition
- mapping-continuous-iff-inverse-images-of-open-sets-are-open
- mapping-continuous-iff-inverse-images-of-closed-sets-are-closed
- Lipschitz Continuous
- Component Function
- remark-7
- remark-9
- Continuously Differentiable
- remark-30
- Hessian Matrix
- Jacobian Matrix
- remark-45
- Homeomorphism
- Complex Function
- Derivatives of Complex Functions
- remark-3
- Contour Integral
- Circle of Convergence
- Classification of Singularities
- nonexistence of extension of length to all subsets of
- Real Sequence
- Tangential Intersection
- First-order system
- Conserved Quantity
- theorem-19
- Weakly Nonlinear Oscillator
- remark-9
- Machine Learning Basics
- Layer
- proof-of-theorem-1
- is an inner product space
- Limit Theorems
- Moment Generating Function
- Continuity Theorem for Moment Generating Functions
- Random Variable
- Absolutely Continuous Random Variable
- Probability Distribution
- Probability Density Function
- Parameterization
- Sufficient Statistic
- Minimal Sufficient Statistic
- Domain of Definition
- Value
- Range
- Injective
- Sequence
- Cardinal Number, Equivalent
- Metric Space
Transitive (depth 1):
- infinite-subset-of-countable-is-countable-note
- proof-of-n-tuples-of-countable-elements-are-countable
- Radius of Convergence
- Analytic
- Analytic at a point
- analytic-implies-cr-equations
- Cauchy Integral Theorem
- Complex Derivative
- Derivative Function
- Point Singularity
- Singularity
- theorem-7
- Vector Function
- permutation multiplication
- Conservative system
- grad-div-curl-related
- Gradient System
- poincare-bendixson
- Real Valued Continuously Differentiable implies Lipschitz Continuous
- Vector Valued Continuously Differentiable implies Lipschitz Continuous
- proof-of-cauchys-integral-theorem
- proof-of-integral-of-one-over-z-around-unit-circle
- Domain
- Scalar Function
- Vector Field
- closed-orbits-impossible-in-gradient-systems-intuition
- Boundary
- Manifold
- Identifiable
- remark-46
- Neural Network
- Null Space
- Null Space and Range are Subspaces
- Range is span of transformation of domain basis
- rank
- Rank Nullity Theorem
- Well-posedness of IVPs
- proof-of-gibbs-inequality
- proof-of-joint-entropy-is-less-than-or-equal-to-entropy-of-parts
- proof-of-probability-vectors-form-a-convex-compact-set
- proof-of-mapping-continuous-iff-inverse-images-of-closed-sets-are-closed
- cantor-bendixson-theorem
- Cauchy Sequence
- Closure
- Compact
- compact-implies-closed
- compact-metric-space-has-countable-base
- compact-metric-spaces-are-complete
- Complete
- composition-of-continuous-functions-is-continuous
- Condensation Point
- Connected
- Continuous
- Converge
- Diameter
- diameter-of-set-equals-diameter-of-closure
- discrete-metric-satisfies-axioms
- euclidean-space-is-metric-space
- every-convergent-sequence-in-a-metric-space-is-a-cauchy-sequence
- every-metric-space-where-every-infinite-subset-has-a-limit-point-is-separable
- every-separable-metric-space-has-a-countable-base
- example-52
- function-is-continuous-at-point-iff-limit-at-point-equals-function-at-point
- heine-borel-note
- infinite-subset-has-limit-point-implies-compact
- Limit
- limit-of-a-function-characterized-by-limits-of-sequences
- metric-space-context
- nonempty-intersection-of-finitely-many-compact-sets
- Open Cover
- Open Relative
- proof-of-bolzano-weierstrass
- proof-of-cantor-bendixson-theorem
- proof-of-cauchy-criterion-for-convergence
- proof-of-compact-implies-closed
- proof-of-compact-metric-space-has-countable-base
- proof-of-compact-metric-spaces-are-complete
- proof-of-euclidean-space-is-metric-space
- proof-of-euclidean-spaces-are-complete
- proof-of-every-convergent-sequence-in-a-metric-space-is-a-cauchy-sequence
- proof-of-every-separable-metric-space-has-a-countable-base
- proof-of-finite-sets-are-compact
- rn-vector-space-vs-metric-space
- Separable
- Separated
- sequence-in-compact-metric-space-has-a-convergent-subsequence
- sequence-theorems-context
- set-and-closure-have-same-limit-points
- set-is-its-closure-iff-it-is-closed
- subsequential-limits-of-a-metric-space-form-a-closed-set
- theorem-50
- weierstrass-note
- Moment Generating Function of a Sum
- Parameter Space
- Parameters Factor Through the Parameterization
- Parametric Family
- Convolution
- Binomial Distribution
- Characterization of Sufficiency
- Conditional Probability Distribution
- Conditional Relative Entropy
- Convexity of Relative Entropy
- Cumulative Distribution Function
- Expected Value
- Geometric Distribution
- Hypergeometric Distribution
- Identically Distributed
- Poisson Approximation to the Binomial
- Poisson Distribution
- Product Distribution
- proof-of-convexity-of-relative-entropy
- proof-of-nonnegativity-of-relative-entropy
- Variance
- A/B Test
- Central Limit Theorem
- chebyshev-fish
- Chebyshev's Inequality
- chebyshevs-inequality-note
- Conditional Entropy
- Conditional Independence Given Intermediate Step
- Conditional Mutual Information
- corollary-88
- Covariance
- Discrete Random Variable
- Entropy
- Function of middle variable forms Markov Chain
- Independent and Identically Distributed
- Jensen's Inequality
- Joint Entropy
- joint-entropy-is-less-than-or-equal-to-entropy-of-parts
- Joint Probability Distribution
- Law of Large Numbers
- law-of-large-numbers-note
- Markov Chain
- markov-inequality-fish
- Markov's Inequality
- Mutual Independence
- Mutual Information
- Negative Binomial Distribution
- Nonnegativity of Mutual Information
- Normal Approximation to the Binomial
- Normal Distribution
- Pairwise Independence
- proof-of-chebyshevs-inequality
- proof-of-fanos-inequality
- proof-of-law-of-large-numbers
- remark-14
- Reversibility of Markov Chains
- Self-Information
- Standard Normal Distribution
- State Space
- Sum of Independent Normal Random Variables
- Sum of Independent Poisson Random Variables
- theorem-16
- Uniform Distribution
- Uniform distribution maximizes entropy
- Range (sequence)
- remark-16
- real-sequence-notation
- binary-sequences-are-uncountable
- Bolzano-Weierstrass
- Bounded (sequence)
- Cantor set
- Convergent
- Countable subadditivity of outer measure
- Derivation
- Discrete Channel
- Discrete Sample Space
- Diverge
- infinite-subset-of-countable-is-countable-intuition
- intersection-of-nonempty-nested-compact-sets-is-nonempty
- intersection-of-sequence-of-nested-intervals-is-nonempty
- limit-of-diameter-of-remaining-points-in-cauchy-sequence-is-zero
- limit-point-implies-convergent-sequence
- Limit (Sequence)
- Multinomial Distribution
- nested-sequence-of-compact-sets-with-lim-diam-zero-has-singleton-intersection
- note-3
- note-31
- note-49
- orbit
- proof-of-binary-sequences-are-uncountable
- proof-of-every-k-cell-is-compact
- proof-of-infinite-subset-of-countable-is-countable
- proof-of-limit-of-a-function-characterized-by-limits-of-sequences
- proof-of-non-empty-perfect-sets-in-rk-are-uncountable
- proof-of-reals-are-uncountable
- proof-of-smallest-sigma-algebra-containing-a-collection-of-subsets
- proof-of-union-of-a-sequence-of-countable-sets-is-countable
- A sequence in converges iff its components converge
- sequence-notation
- sequence-range-cardinality
- sequence-terms-not-distinct
- -Algebra
- sigma algebras are closed under countable intersection
- Strong Asymptotic Equipartition Property (Shannon--McMillan--Breiman)
- Subsequence
- sums-and-products-of-sequences
- Term
- union-of-a-sequence-of-countable-sets-is-countable
- Weak Asymptotic Equipartition Property
- characterization-of-sufficiency-example
- proof-of-characterization-of-sufficiency
- Known
- proof-of-theorem-19
- remark-32
Transitive (depth 2):
- Cauchy-Goursat Theorem
- Cauchy-Riemann Equations
- Cauchy's Integral Theorem
- Entire
- intuition-13
- Removable Singularity
- Residue Theorem
- Taylor Expansion Theorem
- theorem-1-intuition
- theorem-6
- example-4
- theorem-1
- Divergence Theorem of Gauss
- remark-6
- remark-8
- Stoke's Theorem
- convergent-sequences-are-bounded
- cantor-set-is-compact
- cantor-set-is-perfect
- cantor-set-is-uncountable
- Cauchy criterion for convergence
- euclidean-spaces-are-complete
- proof-of-limit-of-diameter-of-remaining-points-in-cauchy-sequence-is-zero
- proof-of-theorem-50
- closure-distributes-over-finite-unions
- closed-subsets-of-compact-sets-are-compact
- compact-relative-to-subspace
- every-k-cell-is-compact
- finite-sets-are-compact
- Heine-Borel
- infinite-subset-of-compact-set-has-limit-point
- intersection-of-closed-and-compact-is-compact
- probability-vectors-form-a-convex-compact-set
- proof-of-cantor-set-is-compact
- proof-of-closed-subsets-of-compact-sets-are-compact
- proof-of-compact-relative-to-subspace
- proof-of-infinite-subset-has-limit-point-implies-compact
- proof-of-infinite-subset-of-compact-set-has-limit-point
- proof-of-real-valued-continuously-differentiable-implies-lipschitz-continuous
- proof-of-uniform-distribution-maximizes-entropy
- proof-of-vector-valued-continuously-differentiable-implies-lipschitz-continuous
- proof-of-intersection-of-closed-and-compact-is-compact
- proof-of-nonempty-intersection-of-finitely-many-compact-sets
- Complex Differentiable
- proof-of-analytic-implies-cr-equations
- condensation-points-of-an-uncountable-subset-of-rk-are-perfect
- note-25
- proof-of-chain-rule-for-mutual-information
- proof-of-concavity-and-convexity-of-mutual-information
- proof-of-joint-is-marginal-times-conditional
- proof-of-chain-rule-for-relative-entropy
- proof-of-nonnegativity-of-conditional-relative-entropy
- connected-sets-in-r1-are-intervals
- proof-of-connected-sets-in-r1-are-intervals
- proof-of-open-set-in-r1-is-countable-union-of-disjoint-segments
- conservative-systems-have-no-attracting-fixed-points
- proof-of-conservative-systems-have-no-attracting-fixed-points
- all-parameterizations-of-curve-have-same-line-integral
- composition-of-continuous-functions-is-continuous-intuition
- example-6
- existence-and-uniqueness-of-ivp-solutions
- Green's Theorem
- Intermediate Value Theorem
- line-integral-over-a-plane-curve
- Mean Value Inequality for Vector Valued Functions
- Mean Value Theorem
- proof-of-composition-of-continuous-functions-is-continuous
- proof-of-mean-value-inequality-for-vector-valued-functions
- proof-of-theorem-12
- smooth
- Volume Integral
- Binomial Series
- proof-of-sequence-converges-iff-neighborhood-contains-all-but-finitely-many-points
- proof-of-sequence-in-compact-metric-space-has-a-convergent-subsequence
- proof-of-subsequential-limits-of-a-metric-space-form-a-closed-set
- proof-of-theorem-23
- Subsequential limit
- theorem-23
- proof-of-concavity-of-entropy
- recursive
- remark-5
- theorem
- Capacity
- Probability of Error
- closed-path-of-path-independent-integral-is-zero
- Path Independent
- remark-12
- Conditioning Reduces Entropy
- Cross-Entropy
- doubly-stochastic-maps-increase-entropy-intuition
- Entropy Rate
- fanos-inequality-remark
- Gibbs' Inequality
- Chain rule for joint entropy
- KL Divergence
- lemma-93
- Noiseless channel transmitting discrete symbols
- note-8
- proof-of-doubly-stochastic-maps-increase-entropy
- theorem-12
- proof-of-condensation-points-of-an-uncountable-subset-of-rk-are-perfect
- Interpretation
- markovs-inequality-note
- proof-of-markovs-inequality
- proof-of-weak-asymptotic-equipartition-property
- proof-of-processing-cannot-increase-information
- closed-orbits-impossible-in-gradient-systems
- proof-of-nested-sequence-of-compact-sets-with-lim-diam-zero-has-singleton-intersection
- proof-of-corollary-95
- proof-of-lemma-93
- proof-of-log-sum-inequality
- proof-of-conditioning-reduces-entropy
- Conditionally Independent
- Cauchy Principal Value
- limit-of-a-function-at-a-point-is-unique-if-it-exists
- Partial Derivative
- theorem-7-remark
- proof-of-limit-of-a-function-at-a-point-is-unique-if-it-exists
- proof-of-theorem-7
- Stationary Distribution of an Ergodic Chain
- example-5
- Tangent Space
- Ergodic
- note-19
- proof-of-data-processing-inequality
- Multinomial Coefficient
- Concavity and Convexity of Mutual Information
- proof-of-nonnegativity-of-mutual-information
- Neuron
- proof-of-intersection-of-nonempty-nested-compact-sets-is-nonempty
- every-k-cell-is-compact-intuition
- open-relative-iff-intersection-with-open-subset
- proof-of-open-relative-iff-intersection-with-open-subset
- cycle
- Orbits of a Permutation in
- Bias
- permutations-form-group
- Multiplication Rule for Distributions
- Radius of Convergence and Nearest Singularity
- Uniqueness of Power Series Expansions
- Basis and Dimension for Column Space
- Basis and Dimension for Left Nullspace
- Basis and Dimension for Nullspace
- Basis and Dimension for Row Space
- Gradient
- gradient-as-surface-normal-vector
- Potential Function
- note-15
- euclidean-space-is-separable
- proof-of-every-metric-space-where-every-infinite-subset-has-a-limit-point-is-separable
- proof-of-sequence-in-rk-converges-iff-its-components-converge
- proof-of-set-and-closure-have-same-limit-points
- measurable space
- smallest sigma algebra containing a collection of subsets.
- smallest-sigma-algebra-containing-a-collection-of-subsets-note
- note-5
- theorem-9
- concavity-of-entropy-intuition
- Confidence Interval for a Mean, Known Variance
- Confidence Interval for a Mean, Unknown Variance
- Standard Deviation
- variance-interpretation
- Curl
- Divergence
- Divergence Theorem, or, Gauss's Theorem
- Irrotational
- remark-36
- Line Integral of Vector Function
- Surface Integral over Vector Field
Transitive (depth 3):
- theorem-5
- proof-of-heine-borel
- Nonnegativity of Conditional Mutual Information
- proof-of-conditional-independence-given-intermediate-step
- proof-of-nonnegativity-of-conditional-mutual-information
- Model Training
- cyclic notation
- disjoint (cycle)
- transposition
- Laplacian
- proof-of-weierstrass
- outer-measure-of-a-closed-interval-note
- proof-of-chain-rule-for-entropy
- proof-of-mutual-information-and-entropy
- convexity-of-relative-entropy-intuition
- Estimator
- example-8
- Statistical Model
- del
- fundamental-theorem-of-line-integrals
- remark-10
- remark-11
- theorem-7-intuition
- gravitational-potential-is-a-solution-to-laplaces-equation
- proof-of-corollary-77
- arc-length-in-plane
- Line Integral
Transitive (depth 4):
- permutation-as-product-of-disjoint-cycles
- Fano's Inequality
- proof-of-corollary-90
- Parameter
- remark-17
- even (permutation)
- odd (permutation)
- permutation-parity-is-well-defined
Transitive (depth 5):
- alternating group
- fanos-inequality-remark-2
- proof-of-corollary-88
- Weak Form of Fano's Inequality
- bifurcation
Transitive (depth 6):
Referenced by (11 direct, 178 transitive)
Direct references:
Transitive (depth 1):
- Cauchy Integral Theorem
- Cauchy's Integral Theorem
- closed-path-of-path-independent-integral-is-zero
- Contour Integral
- Divergence Theorem of Gauss
- Green's Theorem
- Parameter Space
- Path Independent
- Random Variable
- remark-12
- Stoke's Theorem
- Taylor Expansion Theorem
- theorem-19
- Volume Integral
- Well-posedness of IVPs
- grad-div-curl-related
- Gradient
- gradient-as-surface-normal-vector
- Gradient System
- Potential Function
- proof-of-theorem-19
- remark-32
- remark-46
- Curl
- Divergence
- Divergence Theorem, or, Gauss's Theorem
- Irrotational
- poincare-bendixson
- remark-36
- remark-5
- remark-9
- Line Integral of Vector Function
- Surface Integral over Vector Field
Transitive (depth 2):
- proof-of-cauchys-integral-theorem
- proof-of-integral-of-one-over-z-around-unit-circle
- Laplacian
- Jacobian Matrix
- remark-16
- closed-orbits-impossible-in-gradient-systems
- Parametric Family
- fundamental-theorem-of-line-integrals
- remark-10
- remark-11
- theorem-7-intuition
- gravitational-potential-is-a-solution-to-laplaces-equation
- A/B Test
- Absolutely Continuous Random Variable
- Binomial Distribution
- Central Limit Theorem
- chebyshev-fish
- Chebyshev's Inequality
- chebyshevs-inequality-note
- Conditional Entropy
- Conditional Independence Given Intermediate Step
- Conditional Mutual Information
- Convolution
- corollary-88
- Covariance
- Cumulative Distribution Function
- Discrete Random Variable
- Entropy
- Expected Value
- Function of middle variable forms Markov Chain
- Identically Distributed
- Independent and Identically Distributed
- Jensen's Inequality
- Joint Entropy
- joint-entropy-is-less-than-or-equal-to-entropy-of-parts
- Joint Probability Distribution
- Law of Large Numbers
- law-of-large-numbers-note
- Markov Chain
- markov-inequality-fish
- Markov's Inequality
- Continuity Theorem for Moment Generating Functions
- Moment Generating Function of a Sum
- Moment Generating Function
- Mutual Independence
- Mutual Information
- Negative Binomial Distribution
- Nonnegativity of Mutual Information
- Normal Approximation to the Binomial
- Normal Distribution
- Pairwise Independence
- Poisson Approximation to the Binomial
- Poisson Distribution
- Probability Distribution
- proof-of-chebyshevs-inequality
- proof-of-fanos-inequality
- proof-of-law-of-large-numbers
- remark-14
- Reversibility of Markov Chains
- Self-Information
- Standard Normal Distribution
- State Space
- Sum of Independent Normal Random Variables
- Sum of Independent Poisson Random Variables
- theorem-16
- theorem-7
- Uniform Distribution
- Uniform distribution maximizes entropy
- Variance
Transitive (depth 3):
- Probability Density Function
- Hypergeometric Distribution
- note-25
- proof-of-chain-rule-for-mutual-information
- Geometric Distribution
- Probability of Error
- Conditioning Reduces Entropy
- Cross-Entropy
- doubly-stochastic-maps-increase-entropy-intuition
- Entropy Rate
- fanos-inequality-remark
- Gibbs' Inequality
- Chain rule for joint entropy
- KL Divergence
- lemma-93
- Noiseless channel transmitting discrete symbols
- note-8
- proof-of-concavity-of-entropy
- proof-of-doubly-stochastic-maps-increase-entropy
- proof-of-joint-entropy-is-less-than-or-equal-to-entropy-of-parts
- proof-of-uniform-distribution-maximizes-entropy
- theorem-12
- Weak Asymptotic Equipartition Property
- Interpretation
- markovs-inequality-note
- proof-of-markovs-inequality
- proof-of-weak-asymptotic-equipartition-property
- proof-of-processing-cannot-increase-information
- remark-45
- Vector Valued Continuously Differentiable implies Lipschitz Continuous
- proof-of-corollary-95
- proof-of-gibbs-inequality
- proof-of-lemma-93
- proof-of-log-sum-inequality
- proof-of-conditioning-reduces-entropy
- Conditional Relative Entropy
- Conditionally Independent
- proof-of-concavity-and-convexity-of-mutual-information
- Ergodic
- note-19
- proof-of-characterization-of-sufficiency
- proof-of-data-processing-inequality
- Stationary Distribution of an Ergodic Chain
- Strong Asymptotic Equipartition Property (Shannon--McMillan--Breiman)
- Sufficient Statistic
- Concavity and Convexity of Mutual Information
- proof-of-nonnegativity-of-mutual-information
- Bias
- Characterization of Sufficiency
- Conditional Probability Distribution
- Convexity of Relative Entropy
- Product Distribution
- proof-of-convexity-of-relative-entropy
- proof-of-nonnegativity-of-relative-entropy
- note-15
- remark-8
- note-3
- concavity-of-entropy-intuition
- Confidence Interval for a Mean, Known Variance
- Confidence Interval for a Mean, Unknown Variance
- Standard Deviation
- variance-interpretation
Transitive (depth 4):
- proof-of-joint-is-marginal-times-conditional
- proof-of-chain-rule-for-relative-entropy
- proof-of-nonnegativity-of-conditional-relative-entropy
- Nonnegativity of Conditional Mutual Information
- proof-of-conditional-independence-given-intermediate-step
- proof-of-nonnegativity-of-conditional-mutual-information
- Model Training
- proof-of-chain-rule-for-entropy
- proof-of-mutual-information-and-entropy
- convexity-of-relative-entropy-intuition
- Multiplication Rule for Distributions
- proof-of-corollary-77
- characterization-of-sufficiency-example
- Minimal Sufficient Statistic
Referenced by (9 direct, 166 transitive)
Direct references:
Transitive (depth 1):
- A/B Test
- Absolutely Continuous Random Variable
- Binomial Distribution
- Central Limit Theorem
- chebyshev-fish
- Chebyshev's Inequality
- chebyshevs-inequality-note
- Conditional Entropy
- Conditional Independence Given Intermediate Step
- Conditional Mutual Information
- Convolution
- corollary-88
- Covariance
- Cumulative Distribution Function
- Discrete Random Variable
- Entropy
- Expected Value
- Function of middle variable forms Markov Chain
- Identically Distributed
- Independent and Identically Distributed
- Jensen's Inequality
- Joint Entropy
- joint-entropy-is-less-than-or-equal-to-entropy-of-parts
- Joint Probability Distribution
- Law of Large Numbers
- law-of-large-numbers-note
- Markov Chain
- markov-inequality-fish
- Markov's Inequality
- Continuity Theorem for Moment Generating Functions
- Moment Generating Function of a Sum
- Moment Generating Function
- Mutual Independence
- Mutual Information
- Negative Binomial Distribution
- Nonnegativity of Mutual Information
- Normal Approximation to the Binomial
- Normal Distribution
- Pairwise Independence
- Poisson Approximation to the Binomial
- Poisson Distribution
- Probability Distribution
- proof-of-chebyshevs-inequality
- proof-of-fanos-inequality
- proof-of-law-of-large-numbers
- remark-14
- Reversibility of Markov Chains
- Self-Information
- Standard Normal Distribution
- State Space
- Sum of Independent Normal Random Variables
- Sum of Independent Poisson Random Variables
- theorem-16
- theorem-7
- Uniform Distribution
- Uniform distribution maximizes entropy
- Variance
- Identifiable
- Range (sequence)
- remark-16
- grad-div-curl-related
- Gradient
- gradient-as-surface-normal-vector
- Gradient System
- Potential Function
- remark-46
- theorem-19
- sequence-terms-not-distinct
- Divergence Theorem of Gauss
- Line Integral of Vector Function
- Stoke's Theorem
- Surface Integral over Vector Field
- Vector Field
Transitive (depth 2):
- Probability Density Function
- Hypergeometric Distribution
- note-25
- proof-of-chain-rule-for-mutual-information
- Geometric Distribution
- Probability of Error
- Conditioning Reduces Entropy
- Cross-Entropy
- doubly-stochastic-maps-increase-entropy-intuition
- Entropy Rate
- fanos-inequality-remark
- Gibbs' Inequality
- Chain rule for joint entropy
- KL Divergence
- lemma-93
- Noiseless channel transmitting discrete symbols
- note-8
- proof-of-concavity-of-entropy
- proof-of-doubly-stochastic-maps-increase-entropy
- proof-of-joint-entropy-is-less-than-or-equal-to-entropy-of-parts
- proof-of-uniform-distribution-maximizes-entropy
- theorem-12
- Weak Asymptotic Equipartition Property
- Interpretation
- markovs-inequality-note
- proof-of-markovs-inequality
- proof-of-weak-asymptotic-equipartition-property
- proof-of-processing-cannot-increase-information
- Jacobian Matrix
- Laplacian
- remark-12
- closed-orbits-impossible-in-gradient-systems
- proof-of-corollary-95
- proof-of-gibbs-inequality
- proof-of-lemma-93
- proof-of-log-sum-inequality
- proof-of-conditioning-reduces-entropy
- Conditional Relative Entropy
- Conditionally Independent
- proof-of-concavity-and-convexity-of-mutual-information
- Ergodic
- note-19
- proof-of-characterization-of-sufficiency
- proof-of-data-processing-inequality
- Stationary Distribution of an Ergodic Chain
- Strong Asymptotic Equipartition Property (Shannon--McMillan--Breiman)
- Sufficient Statistic
- Concavity and Convexity of Mutual Information
- proof-of-nonnegativity-of-mutual-information
- gravitational-potential-is-a-solution-to-laplaces-equation
- Characterization of Sufficiency
- Conditional Probability Distribution
- Convexity of Relative Entropy
- Product Distribution
- proof-of-convexity-of-relative-entropy
- proof-of-nonnegativity-of-relative-entropy
- Bounded (sequence)
- proof-of-euclidean-spaces-are-complete
- sequence-range-cardinality
- note-15
- remark-8
- note-3
- concavity-of-entropy-intuition
- Confidence Interval for a Mean, Known Variance
- Confidence Interval for a Mean, Unknown Variance
- Standard Deviation
- variance-interpretation
- Curl
- Divergence
- Divergence Theorem, or, Gauss's Theorem
- Irrotational
- poincare-bendixson
- remark-36
- remark-5
- remark-9
Transitive (depth 3):
- convergent-sequences-are-bounded
- weierstrass-note
- proof-of-joint-is-marginal-times-conditional
- proof-of-chain-rule-for-relative-entropy
- proof-of-nonnegativity-of-conditional-relative-entropy
- Nonnegativity of Conditional Mutual Information
- proof-of-conditional-independence-given-intermediate-step
- proof-of-nonnegativity-of-conditional-mutual-information
- Model Training
- remark-45
- Vector Valued Continuously Differentiable implies Lipschitz Continuous
- proof-of-chain-rule-for-entropy
- proof-of-mutual-information-and-entropy
- convexity-of-relative-entropy-intuition
- Multiplication Rule for Distributions
- proof-of-corollary-77
- characterization-of-sufficiency-example
- Minimal Sufficient Statistic
Referenced by (5 direct, 5 transitive)
Direct references:
Transitive (depth 1):
Transitive (depth 2):
A function is
| Injective (also: one-to-one, injection) if for all | |
| Surjective (also: onto, surjection) if for every there is an with | |
| Bijective (also: bijection) if is both injective and surjective. |
Referenced by (4 direct, 13 transitive)
Direct references:
Transitive (depth 1):
Transitive (depth 2):
Transitive (depth 3):
Referenced by (65 direct, 97 transitive)
Direct references:
- limit-of-a-function-characterized-by-limits-of-sequences
- proof-of-limit-of-a-function-characterized-by-limits-of-sequences
- Sequences in Euclidean and Metric Spaces (embedded)
- Convergent
- Limit (Sequence)
- Diverge
- Range (sequence)
- sequence-range-cardinality
- Bounded (sequence)
- sequence-theorems-context
- limit-point-implies-convergent-sequence
- sums-and-products-of-sequences
- A sequence in converges iff its components converge
- Subsequence
- sequence-in-compact-metric-space-has-a-convergent-subsequence
- Bolzano-Weierstrass
- proof-of-bolzano-weierstrass
- subsequential-limits-of-a-metric-space-form-a-closed-set
- note-31
- Cauchy Sequence
- limit-of-diameter-of-remaining-points-in-cauchy-sequence-is-zero
- nested-sequence-of-compact-sets-with-lim-diam-zero-has-singleton-intersection
- every-convergent-sequence-in-a-metric-space-is-a-cauchy-sequence
- proof-of-every-convergent-sequence-in-a-metric-space-is-a-cauchy-sequence
- note-49
- Countable subadditivity of outer measure
- nonexistence of extension of length to all subsets of
- -Algebra
- sigma algebras are closed under countable intersection
- proof-of-smallest-sigma-algebra-containing-a-collection-of-subsets
- Real Sequences
- real-sequence-notation
- Series
- Discrete Time Dynamical Systems
- orbit
- Discrete Channel
- note-3
- Entropy of a Discrete Information Source
- Weak Asymptotic Equipartition Property
- Strong Asymptotic Equipartition Property (Shannon--McMillan--Breiman)
- Machine Learning Basics
- Discrete Fourier Transform
- Root Approximation
- Poisson Distribution
- Multinomial Distribution
- Limit Theorems
- Continuity Theorem for Moment Generating Functions
- Markov Chain
- Discrete Sample Space
- sequence-notation
- Term
- sequence-terms-not-distinct
- Derivation
- Cantor set
- intersection-of-nonempty-nested-compact-sets-is-nonempty
- intersection-of-sequence-of-nested-intervals-is-nonempty
- proof-of-every-k-cell-is-compact
- proof-of-infinite-subset-of-countable-is-countable
- infinite-subset-of-countable-is-countable-intuition
- union-of-a-sequence-of-countable-sets-is-countable
- proof-of-union-of-a-sequence-of-countable-sets-is-countable
- binary-sequences-are-uncountable
- proof-of-binary-sequences-are-uncountable
- proof-of-reals-are-uncountable
- proof-of-non-empty-perfect-sets-in-rk-are-uncountable
Transitive (depth 1):
- convergent-sequences-are-bounded
- proof-of-euclidean-spaces-are-complete
- weierstrass-note
- cantor-set-is-compact
- cantor-set-is-perfect
- cantor-set-is-uncountable
- Cauchy criterion for convergence
- compact-metric-spaces-are-complete
- Complete
- euclidean-spaces-are-complete
- proof-of-cauchy-criterion-for-convergence
- proof-of-compact-metric-spaces-are-complete
- proof-of-limit-of-diameter-of-remaining-points-in-cauchy-sequence-is-zero
- proof-of-theorem-50
- recursive
- remark-5
- theorem
- Capacity
- proof-of-nested-sequence-of-compact-sets-with-lim-diam-zero-has-singleton-intersection
- proof-of-limit-of-a-function-at-a-point-is-unique-if-it-exists
- proof-of-theorem-7
- proof-of-subsequential-limits-of-a-metric-space-form-a-closed-set
- Stationary Distribution of an Ergodic Chain
- Subsequential limit
- Conditional Independence Given Intermediate Step
- Ergodic
- note-19
- proof-of-characterization-of-sufficiency
- proof-of-data-processing-inequality
- proof-of-fanos-inequality
- proof-of-processing-cannot-increase-information
- Reversibility of Markov Chains
- Sufficient Statistic
- Multinomial Coefficient
- cycle
- Orbits of a Permutation in
- theorem-19
- Sum of Independent Poisson Random Variables
- proof-of-sequence-in-rk-converges-iff-its-components-converge
- theorem-7-remark
- example-4
- measurable space
- smallest sigma algebra containing a collection of subsets.
- smallest-sigma-algebra-containing-a-collection-of-subsets-note
- proof-of-sequence-in-compact-metric-space-has-a-convergent-subsequence
- proof-of-theorem-23
- theorem-23
- proof-of-compact-metric-space-has-countable-base
Transitive (depth 2):
- Noiseless channel transmitting discrete symbols
- note-8
- theorem-5
- example-52
- theorem-50
- cyclic notation
- disjoint (cycle)
- transposition
- Absolutely Continuous Random Variable
- Estimator
- example-8
- Identically Distributed
- Parametric Family
- Statistical Model
- proof-of-corollary-77
- Characterization of Sufficiency
- characterization-of-sufficiency-example
- Minimal Sufficient Statistic
Transitive (depth 3):
- Probability Density Function
- permutation-as-product-of-disjoint-cycles
- Bias
- Fano's Inequality
- Probability of Error
- proof-of-corollary-90
- Independent and Identically Distributed
- Parameter
- Parameterization
- remark-16
- remark-17
- even (permutation)
- odd (permutation)
- permutation-parity-is-well-defined
Transitive (depth 4):
- alternating group
- corollary-88
- fanos-inequality-remark-2
- proof-of-corollary-88
- Weak Form of Fano's Inequality
- Law of Large Numbers
- lemma-93
- proof-of-weak-asymptotic-equipartition-property
- bifurcation
- fanos-inequality-remark
- Identifiable
- Parameters Factor Through the Parameterization
- Parameter Space
- Convolution
Transitive (depth 5):
If for it is customary to denote the sequence by the symbol or sometimes by
If is a sequence denoted as the values of that is, the elements are called the terms of the sequence.
Referenced by (1 direct)
Direct references:
If and then denotes the set of all such that We call the inverse image of under
Referenced by (3 direct, 1 transitive)
Direct references:
Transitive (depth 1):
De Morgan's Laws
The complement of a union is equal to the intersection of complements.
Let and be sets. We want to show that
Suppose Then, if or then and a contradiction. Therefore, and That is, and therefore
Referenced by (2 direct)
The complement of an intersection is equal to the union of complements.
Let and be sets. We want to show that
Suppose Then, is not in that is, is either not in or it is not in or it is in neither. If is not in then it is in and therefore it is in The same approach works with and therefore and we have shown