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LF-space

LF-space is a mathematics 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 LF-space rather than just read about it. In short: In mathematics, an LF-space, also written (LF)-space, is a topological vector space (TVS) X that is a locally convex inductive limit of a countable inductive system ( X n , i n m ) {\displaystyle (X_{n},i_{nm})} of Fréchet spaces. This means that X is a direct limit of a direct system ( X n , i n m ) {\displaystyle (X_{n},i_{nm})} in the category of locally convex topological vector spaces and each X n {\displaystyl…

Key takeaways

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

Reference excerpt

In mathematics, an LF-space, also written (LF)-space, is a topological vector space (TVS) X that is a locally convex inductive limit of a countable inductive system ( X n , i n m ) {\displaystyle (X_{n},i_{nm})} of Fréchet spaces. This means that X is a direct limit of a direct system ( X n , i n m ) {\displaystyle (X_{n},i_{nm})} in the category of locally convex topological vector spaces and each X n {\displaystyle X_{n}} is a Fréchet space. The name LF stands for Limit of Fréchet spaces. If each of the bonding maps i n m {\displaystyle i_{nm}} is an embedding of TVSs then the LF-space is called a strict LF-space. This means that the subspace topology induced on Xn by Xn+1 is identical to the original topology on Xn. Some authors (e.g. Schaefer) define the term "LF-space" to mean "strict LF-space," so when reading mathematical literature, it is recommended to always check how LF-space is defined.

Definition

Inductive/final/direct limit topology

Throughout, it is assumed that

C {\displaystyle {\mathcal {C}}} is either the category of topological spaces or some subcategory of the category of topological vector spaces (TVSs); If all objects in the category have an algebraic structure, then all morphisms are assumed to be homomorphisms for that algebraic structure. I is a non-empty directed set; X• = ( Xi )i ∈ I is a family of objects in C {\displaystyle {\mathcal {C}}} where (Xi, τXi) is a topological space for every index i; To avoid potential confusion, τXi should not be called Xi's "initial topology" since the term "initial topology" already has a well-known definition. The topology τXi is called the original topology on Xi or Xi's given topology. X is a set (and if objects in C {\displaystyle {\mathcal {C}}} also have algebraic structures, then X is automatically assumed to have whatever algebraic structure is needed); f• = ( fi )i ∈ I is a family of maps where for each index i, the map has prototype fi : (Xi, τXi) → X. If all objects in the category have an algebraic structure, then these maps are also assumed to be homomorphisms for that algebraic structure. If it exists, then the final topology on X in C {\displaystyle {\mathcal {C}}} , also called the colimit or inductive topology in C {\displaystyle {\mathcal {C}}} , and denoted by τf• or τf, is the finest topology on X such that

(X, τf) is an object in C {\displaystyle {\mathcal {C}}} , and for every index i, the map fi : (Xi, τXi) → (X, τf) is a continuous morphism in C {\displaystyle {\mathcal {C}}} . In the category of topological spaces, the final topology always exists and moreover, a subset U ⊆ X is open (resp. closed) in (X, τf) if and only if fi- 1 (U) is open (resp. closed) in (Xi, τXi) for every index i. However, the final topology may not exist in the category of Hausdorff topological spaces due to the requirement that (X, τXf) belong to the original category (i.e. belong to the category of Hausdorff topological spaces).

Direct systems

Suppose that (I, ≤) is a directed set and that for all indices i ≤ j there are (continuous) morphisms in C {\displaystyle {\mathcal {C}}}

such that if i = j then fij is the identity map on Xi and if i ≤ j ≤ k then the following compatibility condition is satisfied:

where this means that the composition

If the above conditions are satisfied then the triple formed by the collections of these objects, morphisms, and the indexing set

is known as a direct system in the category C {\displaystyle {\mathcal {C}}} that is directed (or indexed) by I. Since the indexing set I is a directed set, the direct system is said to be directed. The maps fij are called the bonding, connecting, or linking maps of the system. If the indexing set I is understood then I is often omitted from the above tuple (i.e. not written); the same is true for the bonding maps if they are understood. Consequently, one often sees written "X• is a direct system" where "X•" actually represents a triple with the bonding maps and indexing set either defined elsewhere (e.g. canonical bonding maps, such as natural inclusions) or else the bonding maps are merely assumed to exist but there is no need to assign symbols to them (e.g. the bonding maps are not needed to state a theorem).

Direct limit of a direct system For the construction of a direct limit of a general inductive system, please see the article: direct limit. Direct limits of injective systems If each of the bonding maps f i j {\displaystyle f_{i}^{j}} is injective then the system is called injective.

If the Xi's have an algebraic structure, say addition for example, then for any x, y ∈ X, we pick any index i such that x, y ∈ Xi and then define their sum using by using the addition operator of Xi. That is,

… excerpt ends here. Continue reading the full article.

Worked examples

Example 1 — a first encounter with LF-space

Start with the simplest possible case. Write down what LF-space claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In mathematics, 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 LF-space 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 LF-space 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 LF-space

In research
LF-space appears in mathematics 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 LF-space 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
LF-space is common in secondary-school and first-year university syllabi. It links to neighbouring topics Topological vector spaces, so understanding it makes those chapters shorter.
In everyday life
Look for LF-space 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 LF-space in 20 minutes

  1. Read the reference excerpt below once, without taking notes.
  2. Close the page and write down what LF-space 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 LF-space out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is LF-space in simple terms?

In mathematics, an LF-space, also written (LF)-space, is a topological vector space (TVS) X that is a locally convex inductive limit of a countable inductive system ( X n , i n m ) {\displaystyle (X_{n},i_{nm})} of Fréchet spaces. This means that X is a direct limit of a direct system ( X n , i n m…

Why does LF-space matter?

Because it connects several mathematics 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 LF-space?

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 LF-space.

Tags

  • Topological vector spaces

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