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Translations, dilations and absorption in a topological vector space
Statement
In a real or complex TVS , translations and multiplication by a nonzero scalar are homeomorphisms. Every zero-neighborhood absorbs every : for all sufficiently large positive real . There is a symmetric open zero-neighborhood with . Every scalar-linear functional bounded in modulus on a zero-neighborhood is continuous. Scalar addition and multiplication are jointly continuous in the usual real or complex topology.
Facts & Assumptions
Given: A TVS , a zero-neighborhood , and, for the functional assertion, a scalar-linear with on a zero-neighborhood , where .
The TVS structure maps are jointly continuous (Topological vector spaces over the real and complex fields).
Maps into products are continuous exactly when their components are continuous (A map into a product is continuous iff each of its components is; the projections are continuous and open; and each projection is surjective when every factor is nonempty, which for an infinite index set uses the Axiom of Choice, clauses 1–2 only).
Composites of continuous maps are continuous (Continuity may be checked on any open cover, and on any finite closed cover; composites of continuous maps are continuous, clause 1).
Zero and negative scalar identities hold in a vector space (In any vector space , , , , and forces or ).
Complex modulus is multiplicative and obeys the triangle inequality (Conjugation is an involutive real-field automorphism, , and modulus is definite, multiplicative, and subadditive). Real absolute value is multiplicative (Basic properties of the absolute value) and obeys the triangle inequality (The triangle inequality).
Proof
Constant maps are continuous because the preimage of an open set is empty or the whole domain; identity maps are continuous by their preimages. Thus and into the appropriate products are continuous. Composing with the structure maps proves continuity of translations , fixed dilations , and the orbit maps for fixed .
Translation by inverts translation by ; when , dilation by inverts dilation by . The vector axioms and zero/negative identities verify these inverse formulas. The inverses are continuous by step 1.1, so these maps are homeomorphisms. Consequently translates of open sets and nonzero dilates of open sets are open.
Fix an open with . Continuity of at , where , gives such that implies . For every positive real , and hence . For every positive works.
Joint addition continuity at gives open zero-neighborhoods with . Put . This is open, contains zero, satisfies , and has .
For put . The set is a zero-neighborhood by step 2.1, and in it satisfies . Thus is continuous at zero. At , the neighborhood maps into the -ball about because . This includes and the zero functional.
For scalar addition at , errors give . For multiplication, if then Taking both errors below makes this less than . These are product-open neighborhoods, so they prove joint topological continuity, including or . Together with the preceding steps this proves all assertions, without a choice principle or a separation axiom.
Depends on
- Topological vector spaces over the real and complex fields
- A map into a product is continuous iff each of its components is; the projections are continuous and open; and each projection is surjective when every factor is nonempty, which for an infinite index set uses the Axiom of Choice
- Continuity may be checked on any open cover, and on any finite closed cover; composites of continuous maps are continuous
- In any vector space $0_F v = 0_V$, $\lambda 0_V = 0_V$, $(-\lambda)v = -(\lambda v)$, $(-1_F)v = -v$, and $\lambda v = 0_V$ forces $\lambda = 0_F$ or $v = 0_V$
- Conjugation is an involutive real-field automorphism, $z\overline z=|z|^2$, and modulus is definite, multiplicative, and subadditive
- Basic properties of the absolute value
- The triangle inequality
Used by
- Local convexity, convex and balanced sets, and the continuous dual Definition
- Minkowski gauge for an open convex zero-neighborhood Definition
- Arbitrary products of the scalar field are locally convex Example
- Continuity, sublinearity and strict sublevels of an open convex gauge Lemma
- Convex closures and hulls of finitely many compact convex sets Lemma
- Open and closed balanced convex zero-neighborhood refinements Lemma
- Continuous separation when one convex set is open Theorem
- Uniform strict separation of compact and closed convex sets Theorem
Dependency tree · two levels
41 results within two dependency steps of this one, each drawn at its shortest distance from it. An arrow runs from a result to what uses it, so the chart reads left to right and ends at this result, which carries a heavier outline. Every node is a link to that result. Click elsewhere on the chart to enlarge it.
Sources
- Gerald Teschl, Topics in Real and Functional Analysis (17 November 2017) (standard reference, not scraped)
- Harald Hanche-Olsen, Topological vector spaces, version 1.6 (bibliographic origin; complete local argument replaces unavailable backing) (standard reference, not scraped)