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Research draft

logarithm

vr.tr.logarithm · XCT.QLT

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

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

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.

What it is for: Inverse of exponentiation.

It can be explain definition and properties; support calculations; describe applications; support learning.

Distinguishing features

Inverse of powers

Product to sum rule

Choice of base

Logarithmic scales

What it looks like

Not physical; a mathematical function.

How it is recognised

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

Related models

is a kind of - category

transcendental function

is a kind of - category

multivalued function

is related to - another inverse of exponentiation

root

is related to - large numbers expressed on logarithmic scales

trillion

In practice

Families and kinds

common logarithm

natural logarithm

binary logarithm

discrete logarithm

complex logarithm and logarithmic units

Standards and regulation

Mathematical notation conventions

Standards for logarithmic units such as the decibel

Curriculum standards for algebra

Failure modes and hazards

Confusing bases

Misreading logarithmic scales

Domain errors with zero and negatives

Also called

logarithmic unitlog probabilitylog-likelihoodnatural logarithmbinary logarithmdiscrete logarithmelliptic curve discrete logarithm

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 logarithm is.

Mathematics.

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.

Practice.

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.

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.

Education.

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

What the second pass must settle

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