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Lifting theory

Lifting theory is a science topic covered in the lgStudy science library. This page brings together a partial reference excerpt, illustrations, worked examples, real-world applications and a short study plan, so you can understand Lifting theory rather than just read about it. In short: In mathematics, lifting theory was first introduced by John von Neumann in a pioneering paper from 1931, in which he answered a question raised by Alfréd Haar. The theory was further developed by Dorothy Maharam (1958) and by Alexandra Ionescu Tulcea and Cassius Ionescu Tulcea (1961).

Key takeaways

  • Lifting theory belongs to science; place it in that map before memorising details.
  • Learn the definition first, then one example that makes the definition concrete.
  • Connect Lifting theory to a quantity you can measure, compute or draw — that is where exam questions come from.
  • Reproduce the core statement of Lifting theory from memory before moving on to harder problems.

Reference excerpt

In mathematics, lifting theory was first introduced by John von Neumann in a pioneering paper from 1931, in which he answered a question raised by Alfréd Haar. 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 , Σ , μ ) {\displaystyle (X,\Sigma ,\mu )} is a linear and multiplicative operator

T : L ∞ ( X , Σ , μ ) → L ∞ ( X , Σ , μ ) {\displaystyle T:L^{\infty }(X,\Sigma ,\mu )\to {\mathcal {L}}^{\infty }(X,\Sigma ,\mu )}

which is a right inverse of the quotient map

{ L ∞ ( X , Σ , μ ) → L ∞ ( X , Σ , μ ) f ↦ [ f ] {\displaystyle {\begin{cases}{\mathcal {L}}^{\infty }(X,\Sigma ,\mu )\to L^{\infty }(X,\Sigma ,\mu )\\f\mapsto [f]\end{cases}}}

where L ∞ ( X , Σ , μ ) {\displaystyle {\mathcal {L}}^{\infty }(X,\Sigma ,\mu )} is the seminormed Lp space of measurable functions and L ∞ ( X , Σ , μ ) {\displaystyle L^{\infty }(X,\Sigma ,\mu )} is its usual normed quotient. In other words, a lifting picks from every equivalence class [ f ] {\displaystyle [f]} of bounded measurable functions modulo negligible functions a representative— which is henceforth written T ( [ f ] ) {\displaystyle T([f])} or T [ f ] {\displaystyle T[f]} or simply T f {\displaystyle Tf} — in such a way that T [ 1 ] = 1 {\displaystyle T[1]=1} and for all p ∈ X {\displaystyle p\in X} and all r , s ∈ R , {\displaystyle r,s\in \mathbb {R} ,}

T ( r [ f ] + s [ g ] ) ( p ) = r T [ f ] ( p ) + s T [ g ] ( p ) , {\displaystyle T(r[f]+s[g])(p)=rT[f](p)+sT[g](p),}

T ( [ f ] × [ g ] ) ( p ) = T [ f ] ( p ) × T [ g ] ( p ) . {\displaystyle T([f]\times [g])(p)=T[f](p)\times T[g](p).}

Liftings are used to produce disintegrations of measures, for instance conditional probability distributions given continuous random variables, and fibrations of Lebesgue measure on the level sets of a function.

Existence of liftings Theorem. Suppose ( X , Σ , μ ) {\displaystyle (X,\Sigma ,\mu )} is complete. Then ( X , Σ , μ ) {\displaystyle (X,\Sigma ,\mu )} admits a lifting if and only if there exists a collection of mutually disjoint integrable sets in Σ {\displaystyle \Sigma } whose union is X . {\displaystyle X.}

In particular, if ( X , Σ , μ ) {\displaystyle (X,\Sigma ,\mu )} is the completion of a σ-finite measure or of an inner regular Borel measure on a locally compact space, then ( X , Σ , μ ) {\displaystyle (X,\Sigma ,\mu )} 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.

… excerpt ends here. Continue reading the full article.

Worked examples

Example 1 — a first encounter with Lifting theory

Start with the simplest possible case. Write down what Lifting theory claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In science, the smallest case is usually a single object, a single equation or a single measurement. Check that every symbol or term in your sentence has a meaning in that case.

Example 2 — changing one variable

Take the situation from Example 1 and change exactly one quantity: double it, halve it, or set it to zero. Predict what should happen to Lifting theory before you calculate. Comparing your prediction with the result is the fastest way to find out whether you understand the idea or only the words.

Example 3 — an exam-style question

Typical questions about Lifting theory ask you to (a) state it precisely, (b) apply it to given data, and (c) explain a limitation. Practise writing all three answers in under five minutes; the third part is what separates a full-mark answer from an average one.

Applications of Lifting theory

In research
Lifting theory appears in science research whenever the underlying quantities have to be modelled precisely. Papers usually cite it as a starting assumption and then explore where it breaks down.
In technology and industry
Engineering practice reuses Lifting theory in design rules, simulations and safety margins. Knowing the idea lets you read a specification sheet and understand why the numbers look the way they do.
In the classroom
Lifting theory is common in secondary-school and first-year university syllabi. It links to neighbouring topics Measure theory, so understanding it makes those chapters shorter.
In everyday life
Look for Lifting theory outside the textbook — in sport, cooking, traffic, electronics or the sky above you. An example you found yourself is remembered far longer than one you were given.
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How to study Lifting theory in 20 minutes

  1. Read the reference excerpt below once, without taking notes.
  2. Close the page and write down what Lifting theory means in your own words.
  3. Compare your version with the excerpt and mark what you missed.
  4. Work through the three examples above with pen and paper.
  5. Explain Lifting theory out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is Lifting theory in simple terms?

In mathematics, lifting theory was first introduced by John von Neumann in a pioneering paper from 1931, in which he answered a question raised by Alfréd Haar. The theory was further developed by Dorothy Maharam (1958) and by Alexandra Ionescu Tulcea and Cassius Ionescu Tulcea (1961).

Why does Lifting theory matter?

Because it connects several science ideas at once: it gives you a definition you can apply, a quantity you can calculate, and a way to check whether a result is plausible.

How should I study Lifting theory?

Read the excerpt, restate it from memory, then work through the examples and applications listed on this page. The five-step study plan above takes about twenty minutes.

What does this page cover?

It gives you a compact reference excerpt plus original lgStudy explanations, examples, applications and study material on Lifting theory.

Tags

  • Measure theory

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