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In mathematics, lifting theory was first introduced by
John von Neumann John von Neumann (; hu, Neumann János Lajos, ; December 28, 1903 – February 8, 1957) was a Hungarian-American mathematician, physicist, computer scientist, engineer and polymath. He was regarded as having perhaps the widest cove ...
in a pioneering paper from 1931, in which he answered a question raised by
Alfréd Haar Alfréd Haar ( hu, Haar Alfréd; 11 October 1885, Budapest – 16 March 1933, Szeged) was a Kingdom of Hungary, Hungarian mathematician. In 1904 he began to study at the University of Göttingen. His doctorate was supervised by David Hil ...
. The theory was further developed by Dorothy Maharam (1958) and by Alexandra Ionescu Tulcea and Cassius Ionescu Tulcea (1961). Lifting theory was motivated to a large extent by its striking applications. Its development up to 1969 was described in a monograph of the Ionescu Tulceas. Lifting theory continued to develop since then, yielding new results and applications.


Definitions

A lifting on a measure space (X, \Sigma, \mu) is a linear and multiplicative operator : T\colon L^\infty(X,\Sigma,\mu)\to \mathcal L^\infty(X,\Sigma,\mu) which is a right inverse of the quotient map : \begin\mathcal L^\infty(X,\Sigma,\mu)\to L^\infty(X,\Sigma,\mu) \\ f\mapsto end where \mathcal L^\infty(X,\Sigma,\mu) is the seminormed Lp space of measurable functions and L^\infty(X,\Sigma,\mu) is its usual normed quotient. In other words, a lifting picks from every equivalence class 'f''of bounded measurable functions modulo negligible functions a representative— which is henceforth written ''T''( 'f'' or ''T'' 'f''or simply ''Tf'' — in such a way that :T(r s (p)=rT p) + sT p), \qquad \forall p\in X, r,s\in \mathbf R; :T( times (p)=T p)\times T p), \qquad \forall p\in X; :T 1. Liftings are used to produce disintegrations of measures, for instance
conditional probability distribution In probability theory and statistics, given two jointly distributed random variables X and Y, the conditional probability distribution of Y given X is the probability distribution of Y when X is known to be a particular value; in some cases the ...
s given continuous random variables, and fibrations of Lebesgue measure on the level sets of a function.


Existence of liftings

Theorem. Suppose (''X'', Σ, ''μ'') is complete. Then (''X'', Σ, ''μ'') admits a lifting if and only if there exists a collection of mutually disjoint integrable sets in Σ whose union is ''X''. In particular, if (''X'', Σ, ''μ'') is the completion of a ''σ''-finite measure or of an inner regular Borel measure on a
locally compact space In topology and related branches of mathematics, a topological space is called locally compact if, roughly speaking, each small portion of the space looks like a small portion of a compact space. More precisely, it is a topological space in which ev ...
, then (''X'', Σ, ''μ'') admits a lifting.
The proof consists in extending a lifting to ever larger sub-''σ''-algebras, applying Doob's martingale convergence theorem if one encounters a countable chain in the process.


Strong liftings

Suppose (''X'', Σ, ''μ'') is complete and ''X'' is equipped with a completely regular Hausdorff topology τ ⊂ Σ such that the union of any collection of negligible open sets is again negligible – this is the case if (''X'', Σ, ''μ'') is ''σ''-finite or comes from a
Radon measure In mathematics (specifically in measure theory), a Radon measure, named after Johann Radon, is a measure on the σ-algebra of Borel sets of a Hausdorff topological space ''X'' that is finite on all compact sets, outer regular on all Borel ...
. Then the ''support'' of ''μ'', Supp(''μ''), can be defined as the complement of the largest negligible open subset, and the collection ''Cb''(''X'', ''τ'') of bounded continuous functions belongs to \mathcal L^\infty(X,\Sigma,\mu). A strong lifting for (''X'', Σ, ''μ'') is a lifting : T:L^\infty(X,\Sigma,\mu)\to \mathcal L^\infty(X,\Sigma,\mu) such that ''Tφ'' = ''φ'' on Supp(''μ'') for all φ in ''Cb''(''X'', τ). This is the same as requiring that ''TU'' ≥ (''U'' ∩ Supp(''μ'')) for all open sets ''U'' in ''τ''.
Theorem. If (Σ, ''μ'') is ''σ''-finite and complete and ''τ'' has a countable basis then (''X'', Σ, ''μ'') admits a strong lifting.
Proof. Let ''T''0 be a lifting for (''X'', Σ, ''μ'') and a countable basis for ''τ''. For any point ''p'' in the negligible set :N:=\bigcup\nolimits _n \left\ let ''Tp'' be any characterA ''character'' on a unital algebra is a multiplicative linear functional with values in the coefficient field that maps the unit to 1. on ''L''(''X'', Σ, ''μ'') that extends the character φ ↦ φ(''p'') of ''Cb''(''X'', τ). Then for ''p'' in ''X'' and 'f''in ''L''(''X'', Σ, ''μ'') define: : (T (p):= \begin (T_0 (p)& p\notin N\\ T_p p\in N. \end ''T'' is the desired strong lifting.


Application: disintegration of a measure

Suppose (''X'', Σ, ''μ''), (''Y'', Φ, ν) are ''σ''-finite measure spaces (''μ'', ''ν'' positive) and ''π'' : ''X'' → ''Y'' is a measurable map. A disintegration of ''μ'' along ''π'' with respect to ''ν'' is a slew Y\ni y\mapsto \lambda_y of positive ''σ''-additive measures on (''X'', Σ) such that #λ''y'' is carried by the fiber \pi^(\) of π over ''y'': ::: \\in\Phi\;\;\mathrm\;\; \lambda_y\left((X\setminus \pi^(\)\right)=0 \qquad \forall y\in Y #for every ''μ''-integrable function ''f'', ::: \int_X f(p)\;\mu(dp)= \int_Y \left(\int_f(p)\,\lambda_y(dp)\right) \nu(dy) \qquad (*) ::in the sense that, for \nu-almost all ''y'' in ''Y'', ''f'' is ''λ''''y''-integrable, the function ::: y\mapsto \int_ f(p)\,\lambda_y(dp) ::is \nu-integrable, and the displayed equality (*) holds. Disintegrations exist in various circumstances, the proofs varying but almost all using strong liftings. Here is a rather general result. Its short proof gives the general flavor.
Theorem. Suppose ''X'' is a
Polish space In the mathematical discipline of general topology, a Polish space is a separable completely metrizable topological space; that is, a space homeomorphic to a complete metric space that has a countable dense subset. Polish spaces are so named be ...
and ''Y'' a separable Hausdorff space, both equipped with their Borel ''σ''-algebras. Let ''μ'' be a ''σ''-finite Borel measure on ''X'' and π : ''X'' → ''Y'' a Σ, Φ–measurable map. Then there exists a σ-finite Borel measure \nu on ''Y'' and a disintegration (*). If ''μ'' is finite, \nu can be taken to be the pushforward ''π''''μ'', and then the ''λ''''y'' are probabilities.
Proof. Because of the polish nature of ''X'' there is a sequence of compact subsets of ''X'' that are mutually disjoint, whose union has negligible complement, and on which π is continuous. This observation reduces the problem to the case that both ''X'' and ''Y'' are compact and π is continuous, and \nu = ''π''''μ''. Complete Φ under \nu and fix a strong lifting ''T'' for (''Y'', Φ, \nu). Given a bounded ''μ''-measurable function ''f'', let \lfloor f\rfloor denote its conditional expectation under π, i.e., the Radon-Nikodym derivative of''fμ'' is the measure that has density ''f'' with respect to ''μ'' ''π''(''fμ'') with respect to ''π''''μ''. Then set, for every ''y'' in ''Y'', \lambda_y(f):=T(\lfloor f\rfloor)(y). To show that this defines a disintegration is a matter of bookkeeping and a suitable Fubini theorem. To see how the strongness of the lifting enters, note that : \lambda_y(f\cdot\varphi\circ\pi)=\varphi(y) \lambda_y(f) \qquad \forall y\in Y, \varphi\in C_b(Y), f\in L^\infty(X,\Sigma,\mu) and take the infimum over all positive ''φ'' in ''C''''b''(''Y'') with ''φ''(''y'') = 1; it becomes apparent that the support of ''λ''''y'' lies in the fiber over ''y''.


References

Measure theory