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Published

logarithm

vr.tr.logarithm · thing-q11197

Let an agent explain logarithms and their definition, properties and bases, support calculations and use of logarithmic scales, describe applications in science, statistics and computing, and support learning.

Thing Registry Cross-cutting context XCT.QLT

Bundle → Layer → Finding → Questions Filled

4 bundles · 8 layers · 8 findings · 16 questions

Understand What a logarithm is.

Concept

Definition and bases.

Concept

Concept.

  1. What is a logarithm, and how do common, natural and binary logarithms differ? definition
  2. Which base is meant? boundary

Properties

Properties.

Properties

Properties.

  1. What are the product, quotient, power and change of base rules, and why do they hold? definition
  2. Which entry fits exponentials? action
Calculate Calculation and scales.

Compute

Computing logarithms.

Compute

Computation.

  1. How can this logarithm be computed or an equation with logarithms solved? action
  2. Which entry fits solving equations? action

Scales

Logarithmic scales.

Scales

Scales.

  1. How do logarithmic scales such as decibels, pH and earthquake magnitude work, and how are they read? provenance
  2. Which entry fits a specific scale? action
Apply Applications.

Statistics

Statistics and science.

Statistics

Statistics.

  1. How are log-likelihood, log probability and log transformations used in statistics and science? provenance
  2. Which entry fits likelihood? action

Computing

Computing and cryptography.

Computing

Computing.

  1. How do binary logarithms describe algorithm complexity, and what is the discrete logarithm problem in cryptography? provenance
  2. Which entry fits computational complexity? action
Learn History and teaching.

History

History.

History

History.

  1. How did Napier and others develop logarithms, and how did tables and slide rules transform calculation? provenance
  2. Which references are standard? provenance

Teach

Teaching.

Teach

Teaching.

  1. How can logarithms be taught? action
  2. Which misconceptions arise? provenance

Classifiers Filled

Family
Thing Registry
Category
Cross-cutting context
Entry kind
thing
Plane
XCT
Domain
XCT.QLT
Other names and narrower kinds
logarithmic unit, log probability, log-likelihood, natural logarithm, binary logarithm, discrete logarithm, elliptic curve discrete logarithm

What it is Filled

The exponent to which a fixed base must be raised to produce a given number, the inverse of exponentiation, in forms such as the common logarithm to base ten, the natural logarithm to base e and the binary logarithm to base two, with properties turning multiplication into addition and powers into products, and extensions such as complex and discrete logarithms; logarithms underlie logarithmic scales such as decibels and pH, log-likelihood and log probability in statistics, and computation from slide rules to algorithms.

Why it exists Filled

Let an agent explain logarithms and their definition, properties and bases, support calculations and use of logarithmic scales, describe applications in science, statistics and computing, and support learning.

Distinguishing features Filled

  • Inverse of powers
  • Product to sum rule
  • Choice of base
  • Logarithmic scales

What robots and AI may and may not do Filled

Must not

  • Present numerical results without stating the base when it matters.
  • Mislead with a logarithmic scale presented as linear, or the reverse.
  • Give results beyond the precision the input supports.

Only with a human decision

  • Relying on a computed value for engineering, dosing or financial decisions.

May

  • Explain logarithms, their bases, rules and uses.
  • Compute logarithms and show the working.

Moral aspects Filled

  • Log scales on charts can hide or exaggerate risk, for example in epidemics or earthquakes.
  • Misunderstood exponential growth leads to poor public decisions.

Who is affected

  • Students
  • Readers of charts

Owners Filled

Steward

Nobody: a mathematical concept held in common.

Links to other meta-models Filled

parent

  • Q164307 - registry parent class
  • Q629085 - registry parent class
  • Q864333 - registry parent class

related

  • transcendental function - category
  • multivalued function - category
  • root - another inverse of exponentiation
  • trillion - large numbers expressed on logarithmic scales

What else AI and robots need to interact with it Filled

Identity and identifiers required Filled

  • Vercy registry: vr.tr.logarithm
  • Wikidata: Q11197 (https://www.wikidata.org/wiki/Q11197)

Direct properties not applicable Not applicable

Not applicable

Plane XCT: no invented physical properties.

Recognition optional Filled

  • Exponent giving a number from a base
  • Common, natural, binary, discrete, complex logarithms
  • An exponential is the inverse; a root is a different inverse of powers
  • Not physical; a mathematical function.

Capabilities and actions required Filled

  • explain definition and properties
  • support calculations
  • describe applications
  • support learning

Hazards and failure modes required Filled

  • Confusing bases
  • Misreading logarithmic scales
  • Domain errors with zero and negatives

Standards and interfaces required Filled

  • Mathematical notation conventions
  • Standards for logarithmic units such as the decibel
  • Curriculum standards for algebra

Context of use required Filled

  • Inverse of exponentiation.
  • common logarithm
  • natural logarithm
  • binary logarithm
  • discrete logarithm
  • complex logarithm and logarithmic units

Sources Filled

  1. Wikidata item Q11197: logarithm - identity and sense of the item
  2. Wikipedia: Logarithm - general description of the item

Open questions

  • Should the natural logarithm be a separate entry?
  • How should textbooks be linked?
  • How should scale standards be linked?

Machine files

Provenance

thing registry research (pass 2) · unreviewed

Built from: models/things/publications/thing-q11197/spec.json