metric function
Let an agent explain metric functions, relay axioms, examples and uses from mathematics sources, describe the named examples and distinguish the metric tensor sense, flag the misfiled alias, and distinguish metrics from norms, pseudometrics, similarity measures and performance metrics in business or software.
Research draft, second pass
A second pass drafted this model: the structure a model of this thing needs, and what is known about it in the world. The line under this one says how the second half was obtained - researched against sources, or recalled without web access, in which case nothing here was read anywhere and every claim is a lead to verify. Unreviewed either way.
written by Claude from model knowledge without web access - no source was read, every claim is a lead to verify
Researched by: Claude
Purpose and description
Let an agent explain metric functions, relay axioms, examples and uses from mathematics sources, describe the named examples and distinguish the metric tensor sense, flag the misfiled alias, and distinguish metrics from norms, pseudometrics, similarity measures and performance metrics in business or software.
In mathematics, a function that defines a distance between each pair of elements of a set, satisfying non-negativity with zero only for identical points, symmetry and the triangle inequality, making the set a metric space; examples the registry aliases name include Minkowski distance, the Lp family that includes Euclidean and Manhattan distance, and graph distance, the length of the shortest path between vertices, while the Kerr metric, spacetime metrics and the Fubini-Study metric are metric tensors in differential geometry and general relativity, a related but different sense in which a metric measures lengths infinitesimally and may not be positive definite, and Wikidata:Statistics is a project page and appears misfiled. Metrics are used in analysis, topology, machine learning and data science.
What it is for: Measuring distance in mathematical spaces.
It can be explain axioms; relay examples; distinguish metric tensors; flag misfiled aliases.
Distinguishing features
Triangle inequality
Symmetry
Defines topology
Many concrete examples
What it looks like
Not a physical object; defined by formulas and axioms.
Physical character
metric space concept: 1906 year - Maurice Frechet
axioms: identity, symmetry, triangle inequality list - plus non-negativity
Kerr metric: 1963 year - Roy Kerr
How it is recognised
Distance function satisfying metric axioms
Kerr metric, spacetime metric, Wikidata:Statistics, Minkowski distance, graph distance, Fubini-Study metric
Norms measure vector size; pseudometrics allow zero distance between distinct points; similarity measures may not satisfy axioms; performance metrics are indicators
Related models
is a kind of - in registry terms
defines -
is contrasted with - related sense
is contrasted with -
In practice
Families and kinds
Lp and Minkowski distances
graph and path metrics
edit and string metrics
Riemannian and pseudo-Riemannian metric tensors
Standards and regulation
Not applicable
Failure modes and hazards
Confusing metric functions and metric tensors
Using non-metric similarities where axioms are assumed
Misfiled project page alias
Also called
Where this came from
wikidata · CC0 1.0
Drafted structure
Bundle to layer to finding to question, as the second pass will find it: 4 bundles · 8 layers · 8 findings · 16 questions.
Understand What a metric is.
Science.
Definition
Definition.
Definition
Definition.
- What is a metric function, and how does it differ from norms, pseudometrics, similarity measures and performance metrics? definition
- Is the question about distance functions or metric tensors in geometry and physics? boundary
Examples
Named examples.
Examples
Examples.
- What are Minkowski distance and graph distance, and how are the Kerr, spacetime and Fubini-Study metrics different? definition
- Which entry fits the specific metric? action
Axioms Axioms.
Science.
Triangle inequality
Triangle inequality.
Triangle inequality
Triangle inequality.
- Why is the triangle inequality essential? provenance
- Which references are standard? provenance
Metric spaces
Metric spaces.
Metric spaces
Metric spaces.
- How do metrics define open sets and convergence? provenance
- Which sources are cited? provenance
Geometry Metric tensors.
Science.
Tensors
Metric tensors.
Tensors
Tensors.
- How does a metric tensor define lengths and angles on manifolds? provenance
- Which entry fits metric tensor? action
Relativity
Spacetime metrics.
Relativity
Relativity.
- What does the Kerr metric describe for rotating black holes? provenance
- Is the information accurate? boundary
Context Applications.
Context.
Machine learning
Distance-based methods.
Machine learning
Machine learning.
- How are metrics used in nearest-neighbour methods and clustering? provenance
- Which entry fits k-nearest neighbors algorithm? action
Graphs
Graph distance.
Graphs
Graphs.
- How is shortest-path distance computed in graphs? measurement
- Is the information current? boundary
What the second pass must settle
- The registry alias Wikidata:Statistics should be removed
- The registry metric tensor aliases should be moved to differential geometry entries
- Should graph distance be a separate entry?