Live briefing
Everything about Seminorm
Mathematical function
In mathematics, particularly in functional analysis, a seminorm is like a norm but need not be positive definite. Seminorms are intimately connected with convex sets: every seminorm is the Minkowski functional of some absorbing disk and, conversely, the Minkowski functional of any such set is a seminorm. Wikipedia →
🧭 Start here: a 6-step reading path
- Read the overview: SeminormA 5-minute orientation
- Skim a recent paper: A New Seminorm for d-Tuples of A-Bounded Operators and Their ApplicationsInfluential work since 2022
- Pick up a classic book: Seminormal OperatorsThe most-reprinted book on the subject
- Read the landmark paper: Seminorm and numerical radius inequalities of operators in semi-Hilbertian spacesCited 66 times
- Go sideways: Sublinear functionA closely related topic
- Go sideways: Metrizable topological vector spaceA closely related topic
📖 Definitions
Noun Alternative spelling of semi-norm.
🏆 Landmark papers (most cited)
Seminorm and numerical radius inequalities of operators in semi-Hilbertian spaces
Minimization and parameter estimation for seminorm regularization models with I -divergence constraints
EveryC *-seminorm is automatically submultiplicative
The canonical seminorm on Weak L¹
Variational framework for flow optimization using seminorm constraints
Gravity inversion using seminorm minimization; density modeling of Jasper Seamount
Sobolev seminorm of quadratic functions with applications to derivative-free optimization
Optimal Search for the Global Maximum of Functions with Bounded Seminorm
🆕 Influential since 2022
A New Seminorm for d-Tuples of A-Bounded Operators and Their Applications
Refinement of seminorm and numerical radius inequalities of semi-Hilbertian space operators
Seminorm control for ergodic averages with commuting transformations along pairwise dependent polynomials
On Bloch seminorm of finite Blaschke products in the unit disk
Further Seminorm and Numerical Radius Inequalities for Products and Sums of Operators
📚 Books worth reading
- 📕Seminormal OperatorsK. Clancey · 1979
Principles of functional analysisMartin Schechter · 1971- 📕Seminormal operatorsKevin Clancey · 1979
- 📕C*-seminorms, *-representations, *-radicalsSebestyén, Zoltán. · 1977
- 📕Optimal approximation and error bounds in seminormed spacesJean Meinguet · 1967
- 📕Seminormality and upper semicontinuity in optimal controlLamberto Cesari, University of Michigan. Dept. of Mathematics · 1969
- 📕Réseaux dans les espaces linéaires a semi-normesMarc De Wilde · 1969
- 📕Nilspace Factors for General Uniformity Seminorms, Cubic Exchangeability and LimitsPablo Candela, Balazs Szegedy · 2023
Ranked by number of editions on Open Library, a rough measure of how lasting a book is.
🔗 Related topics
- Sublinear function In linear algebra, a sublinear function (or functional as is more often used in functional analysis), also called a quasi-seminorm, on a vector space is…
- Metrizable topological vector space In functional analysis and related areas of mathematics, a metrizable (resp. pseudometrizable) topological vector space (TVS) is a TVS whose topology is…
- Continuous linear operator In functional analysis and related areas of mathematics, a continuous linear operator or continuous linear mapping is a continuous linear transformation…
- Quasinorm In linear algebra, functional analysis and related areas of mathematics, a quasinorm is similar to a norm in that it satisfies the norm axioms, except…
- Locally convex topological vector space In functional analysis and related areas of mathematics, locally convex topological vector spaces (LCTVS) or locally convex spaces are examples of topological…
- Balanced set In linear algebra and related areas of mathematics a balanced set, circled set or disk in a vector space (over a field K {\displaystyle \mathbb {K} } with…
- Order unit An order unit is an element of an ordered vector space which can be used to bound all elements from above. In this way (as seen in the first example below)…
- Nuclear space In mathematics, nuclear spaces are topological vector spaces that can be viewed as a generalization of finite-dimensional Euclidean spaces and share many…