Injective function
Definition
Let be a function. The function is injective when, for all , implies .
Remarks
Other names are one-to-one function and injection. The function on is injective, and on is not, because . An injective function with a nonempty domain has a left inverse. See injective iff it has a left inverse.
Explanations
L1 human
An injective function never sends two inputs to the same place. To prove injectivity, assume and deduce .
What this node needs for W2
- edge instance_of in: one example (0 of 1)
- edge not_instance_of in: one non-example that fails one clause (0 of 1)
The writing levels say how complete the text of a node is. They do not measure its truth.
What depends on this
146 nodes use this node, directly or through other nodes.
- Variance 007QED3E0Y
- Second-countable space 00RE1R4W7N
- Chernoff bound 014PEBGDYF
- Chapman–Kolmogorov equation 01APZ8GDQH
- Bias of an estimator 01BD2TFFP4
- Composition of injections is injective 01FPXMTBX1
- Order of cardinals 01GTP8M5RG
- Infinite set 01MKW4R283
- Bijective iff it has a two-sided inverse 01VG2A0BHW
- Law of the unconscious statistician 01ZWX875AT
- Covariance matrix 02CBHV4ZZQ
- Chebyshev's inequality 02HZ1BK3MW
- Isometries are injective 02J4G4J4TJ
- Characteristic function of a sum of independent random variables 02JGYG0T7M
- Stationary distribution 02KYGSCTCN
- Bernoulli process 02XPXR1FBK
- Markov chain 033TJBZDG0
- Law of total variance 03BY5XTNA4
- Variance of the normal distribution 03EESZDB9A
- Torus 03NM7DZXXC
- Cauchy–Schwarz inequality for expectations 03PGHKAJG3
- Continuous bijection from a compact space to a Hausdorff space is a homeomorphism 0430ETCMKD
- Correlation coefficient 04CTY6XYWN
- Variance under translation 04CYN5G6RY
- Law of total expectation 04RRB6HM00
- The real numbers are uncountable 0518MM6BE1
- Expectation of a product of independent random variables 05AW1G0WE1
- Likelihood function 05FSTXM92W
- Homeomorphism 05GZ11PWRY
- Markov's inequality 05PWWHYBX5
- Poisson point process 05TG0SE4HT
- De Moivre–Laplace theorem 065X9S8CM3
- The integers are countable 066RJJVWH9
- Correspondence between equivalence relations and partitions 074482Q7CD
- The reals have the cardinality of the continuum 075PM9FH7A
- Independent random variables are uncorrelated 077GN9HDR6
- Convolution of probability distributions 07CHJ5YX28
- Mean of the Poisson distribution 086HEVXR9Z
- Equinumerous sets 08EJHHMB5R
- Product of countable sets is countable 08G4XH86JC
- Topological embedding 08SVRVHJNY
- Method of moments 09J1H07VAH
- Mean of the normal distribution 09PR1V6RWR
- Baire category theorem 0A7KGAYHGV
- Schröder–Bernstein theorem 0A9V6RKQG6
- Classical definition of probability 0AKNPYQ04R
- Moment-generating function of the normal distribution 0B1G4E21G7
- Finite set 0BBTH3YSZA
- Weak law of large numbers 0BFDHF2H7N
- Uncorrelated random variables that are not independent 0C6J8BQXVR
- Kurtosis 0CBQVVNBMP
- Martingale 0CDVK9RQBH
- Baire space 0D5KR33H7X
- Variance of a sum 0D86GJEZ39
- Mean of the geometric distribution 0DB0R4N5XX
- Expected value 0DCT0QZVQ1
- Strong law of large numbers 0DFWHQ839T
- Covariance 0DJ8W3HP2D
- The rationals are countable 0DS9KWFDK2
- Neyman–Pearson lemma 0EE19CFEEF
- Chi-squared test 0EN0V3NY20
- Central limit theorem 0EPZC4Z1FC
- 68–95–99.7 rule 0EYQ03XCR3
- Transition matrix 0F1KBVY161
- Conditional variance 0F1SN93KXE
- Lévy's continuity theorem 0FPWF7TTMB
- Convergence of random variables 0FQ968YKA1
- Meagre set 0FQPYAY9PJ
- Maximum likelihood estimation 0FREPFKNS7
- Separable space 0GKJ78948V
- Cardinality of the power set 0GPFKS96T7
- Skewness 0GQ3H7VW3V
- Galton–Watson process 0H631CZP5K
- Markov property 0HB8SXHPFA
- First-countable space 0HG11FW8MJ
- Injective iff it has a left inverse 0HYFEEZAEM
- Student's t-test 0HYP606RYF
- Discrete random variable 0J6Z6H5VQJ
- Bernoulli distribution 0J97P5KZY0
- Sample variance 0JN9P4A944
- Cardinality 0JTGRV4WT4
- Bayesian inference 0JWRJX2RMP
- Confidence interval 0K4NMMJBG2
- Variance under scaling 0KVQ9D86BM
- Discrete uniform distribution 0KYP951QWH
- Continuum hypothesis 0MN2MER9WN
- Coupon collector's problem 0MXCP7MXWJ
- Characteristic function 0MYDNRT7PP
- Hilbert's hotel 0N3Y8G340X
- Variance as the mean of the square minus the square of the mean 0NMF95YK8W
- Birthday problem 0NMWG2PHJ0
- Moment-generating function 0NNRNGKMFM
- Cantor pairing function 0NP5N5PYW5
- Student's t-distribution 0NQ5798SB1
- Characteristic function of the normal distribution 0NS0TDA4E2
- Sum of independent normal random variables 0NXGPJWNFN
- Linearity of expectation 0P7PTC8DDE
- Moment 0PH0VHTQS0
- Expectation with respect to the binomial distribution 0PVCTCKD3C
- Cumulant generating function 0Q2QC81VTW
- Cardinal number 0QKPNZKNEA
- Sample mean 0QNRBHWV35
- Generating function of a sum of independent random variables 0REMT01N36
- Chi-squared distribution 0RFMMBHFTV
- Cantor set is homeomorphic to the space of binary sequences 0RQ8DHHR8V
- Every infinite set has a countably infinite subset 0RWQ5VZ6VQ
- Countably infinite set 0SEZ3JGZP7
- Bijective function 0SNQEF7Z53
- Hypergeometric distribution 0SPBPW3K61
- Moments are derivatives of the moment-generating function at zero 0STK8KEY9G
- Bertrand paradox 0T0JWJ3M47
- The characteristic function determines the distribution 0T8BYAFEXX
- Convergence in mean 0TTA57SEJG
- Variance of a sum of independent random variables 0V0778DCW9
- Aleph-null 0V2H5PGJ9B
- Mean squared error 0V4VSCBXP3
- Poisson distribution 0VEFSSKX18
- Isometric isomorphism 0VRD8GC5BM
- Binomial distribution 0VRWZDWW6B
- Standard deviation 0VTN5RKNC5
- Inverse function 0W766JAPSN
- Cardinality of the continuum 0WC28W9DNM
- Probability mass function 0WF4EJP91W
- Circle as a quotient of the real line 0WH1GVBJNH
- Hoeffding's inequality 0WPDNXGSSN
- Moment-generating function of a sum of independent random variables 0WRZ170YEH
- Cantor's theorem 0WTEMGYV2C
- Countable intersection of dense open sets is dense 0X2T63GFQQ
- Uncountable set 0X55M9XET4
- Cantor's diagonal argument 0XCH8QVDCQ
- Geometric distribution 0XCVV5Q500
- Poisson limit theorem 0XKTZRWTXX
- Negative binomial distribution 0XN7KEVSSS
- Tail sum formula for expectation 0Y6QNF1J49
- Order isomorphism 0Y74KN99A5
- Conditional expectation 0YAMJRK04E
- Absorbing Markov chain 0YB93GWTKK
- Comparability of cardinals 0YBHSJMN3J
- Sum of independent Poisson random variables 0YH1M56SBN
- Conditional probability distribution 0YVDC5PYDW
- Countable union of countable sets is countable 0Z8FM54P86
- Probability-generating function 0Z8PSSAVBA
- Memorylessness 0ZAZZ34WQS
- Countable set 0ZG61TFBES
- Central moment 0ZT24EC90K
- Law of large numbers 0ZVEAYVRC3
Sources
- Web https://en.wikipedia.org/wiki/Injective_function, lead section
What links here
Used by
- Composition of injections is injective 01FPXMTBX1
- Order of cardinals 01GTP8M5RG
- Isometries are injective 02J4G4J4TJ
- Topological embedding 08SVRVHJNY
- Schröder–Bernstein theorem 0A9V6RKQG6
- Injective iff it has a left inverse 0HYFEEZAEM
- Hilbert's hotel 0N3Y8G340X
- Every infinite set has a countably infinite subset 0RWQ5VZ6VQ
- Bijective function 0SNQEF7Z53
- Countable set 0ZG61TFBES