How statement and proof provenance work
The first chip identifies the source of the statement or construction; the second identifies the source of its local proof or verification.
- Literature-sourced: the exact statement appears in a cited source; only wording and notation differ.
- AI-adapted: a semantically identical restatement of literature-sourced material, modulo indexing, notation, and boundary cases adopted by the library.
- AI-generated: a genuinely novel statement formulated by AI, with no source for the claim itself.
These labels describe origin, not correctness: citations and verification chips remain separate evidence.
Matrices and Change of Basis: Examples and Counterexamples
1 · Prerequisites
- Binary Operations, Monoids, Groups and Subgroups
- Construction of the Natural Numbers
- Construction of the Real Numbers via Cauchy Sequences
- Construction of the Real Numbers via Dedekind Cuts
- Countability and Uncountability
- Finite Counting, Factorials and Binomial Coefficients
- Foundations of the Real Numbers for Analysis
- Linear Independence, Bases and Dimension
- Linear Transformations, Rank-Nullity and Quotient Spaces
- Matrices, the Matrix of a Linear Map, and Change of Basis
- Relations, Functions, and Quotients
- Rings, Subrings, Integral Domains and Fields
- Roots, Rational Powers, and Classical Inequalities
- The ZFC Axioms and the Basic Set Constructions
- Vector Spaces, Linear Subspaces, Span and Direct Sums
2 · Summary
3 · Logical flowchart
4 · Definitions, theorems and proofs
None yet.
5 · Examples, counterexamples and false statements
A matrix represents a map by its images of the standard basis vectors
Example
Over a field , define
In the standard ordered bases,
whose columns are the coordinate columns of and .
Facts & Assumptions
Given: The displayed linear map and the standard ordered bases of and .
The -th column of a linear map's matrix is the coordinate column of the image of the -th domain basis vector (Coordinate columns and matrices of linear maps relative to ordered bases).
Verification
One has and , so [L1] gives the two displayed columns and hence the displayed by matrix.
Multiplication by a general coordinate column gives , independently verifying that the matrix represents .
The same operator has two different matrices in two ordered bases
Example
Let be . In the standard ordered basis ,
For , the same operator has
Facts & Assumptions
Given: The displayed operator and ordered bases.
A matrix of an operator records the coordinate columns of its basis-vector images, and basis change acts by the two-sided formula (Coordinate columns and matrices of linear maps relative to ordered bases, ).
Verification
The standard images are and . The transition matrices are and , whose products in either order are .
Directly, and , giving the columns and . Equivalently, .
The quarter-turn on has matrix and square
Example
The linear map given by is a quarter-turn. In the standard basis,
Thus is the half-turn.
Facts & Assumptions
Given: The real vector space with its standard ordered basis and the displayed map .
The columns of a linear map's matrix are the coordinate columns of its basis-vector images (Coordinate columns and matrices of linear maps relative to ordered bases).
Verification
Since and , [L1] gives . Multiplying this matrix by itself gives .
By [L2], the matrix square is , and direct substitution gives , the half-turn.
Two explicit by matrices do not commute
A nonzero square-zero matrix is not similar to any diagonal matrix
Example
For every field , the matrix
is nonzero and satisfies , but it is not similar to any diagonal matrix.
Facts & Assumptions
Given: A field and the displayed matrix .
Similarity has the form with invertible, and every nonzero scalar in a field has an inverse (Similar matrices: for an invertible , Field).
Verification
By [L1], , while the -entry of is , so . Suppose, for contradiction, that as in [L2], with diagonal. Then , so .
Every diagonal entry of satisfies . If , the inverse from [L2] gives , a contradiction; hence , and then , contradicting step 1.1. Thus is not similar to a diagonal matrix.
Changing both domain and codomain bases of a map uses both sides of the formula
Example
Let be . Use the standard bases and the new bases
Then
Verification
Here , , and . Multiplying in the order of [L1] gives .
Independently, and , producing the same two coordinate columns.
A by matrix and a by matrix give square products of different sizes but equal traces
Example
Over any field , let
The product is by , the product is by , and their traces are equal.
Facts & Assumptions
Given: The displayed rectangular matrices over a field .
For conformable rectangular matrices, (For and , ).
Verification
Direct multiplication gives and .
Hence and as elements of , verifying [L1] for products of different square sizes.
Sources
Standard references
Recommended treatments; not extraction sources.