Alphabeta Math
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7 results · all verified · 0 also independently AI-judged
Every result on this page is machine-checked by a proof checker and read in full and owner-audited; the judge is an additional, independent cross-model AI review of the proofs. The 7 not AI-judged were verified by owner audit (typically over a confirmed judge false positive), not failures.

Matrices and Change of Basis: Examples and Counterexamples

1 · Prerequisites

2 · Summary

3 · Logical flowchart

4 · Definitions, theorems and proofs

None yet.

5 · Examples, counterexamples and false statements

ExampleConstruction: Literature-sourcedVerification: AI-adaptedprecheck passaudited 2026-08-11Open item page →

A matrix represents a map F2F3F^2\to F^3 by its images of the standard basis vectors

Example

Over a field FF, define

T:F2F3,T(x,y)=(x+2y,3xy,x+y).T:F^2\to F^3,\qquad T(x,y)=(x+2y,\,3x-y,\,x+y).

In the standard ordered bases,

[T]=(123111),[T]=\begin{pmatrix}1&2\\3&-1\\1&1\end{pmatrix},

whose columns are the coordinate columns of T(1,0)T(1,0) and T(0,1)T(0,1).

Facts & Assumptions

Given: The displayed linear map and the standard ordered bases of F2F^2 and F3F^3.

[L1]

The jj-th column of a linear map's matrix is the coordinate column of the image of the jj-th domain basis vector (Coordinate columns [v]B[v]_{\mathcal B} and matrices [T]BC[T]_{\mathcal B}^{\mathcal C} of linear maps relative to ordered bases).

Verification

technique · direct
1.1

One has T(1,0)=(1,3,1)T(1,0)=(1,3,1) and T(0,1)=(2,1,1)T(0,1)=(2,-1,1), so [L1] gives the two displayed columns and hence the displayed 33 by 22 matrix.

givenL1
2.1

Multiplication by a general coordinate column gives (123111)(xy)=(x+2y3xyx+y)=[T(x,y)]\begin{pmatrix}1&2\\3&-1\\1&1\end{pmatrix}\begin{pmatrix}x\\y\end{pmatrix}=\begin{pmatrix}x+2y\\3x-y\\x+y\end{pmatrix}=[T(x,y)], independently verifying that the matrix represents TT.

step 1.1L1
ExampleConstruction: AI-adaptedVerification: AI-generatedprecheck passaudited 2026-08-11Open item page →

The same operator has two different matrices in two ordered bases

Example

Let T:F2F2T:F^2\to F^2 be T(x,y)=(x,2y)T(x,y)=(x,2y). In the standard ordered basis E=(e0,e1)\mathcal E=(e_0,e_1),

[T]EE=(1002).[T]_{\mathcal E}^{\mathcal E}=\begin{pmatrix}1&0\\0&2\end{pmatrix}.

For B=(e0+e1,e1)\mathcal B=(e_0+e_1,e_1), the same operator has

[T]BB=(1012).[T]_{\mathcal B}^{\mathcal B}=\begin{pmatrix}1&0\\1&2\end{pmatrix}.

Verification

technique · direct
1.1

The standard images are T(e0)=e0T(e_0)=e_0 and T(e1)=2e1T(e_1)=2e_1. The transition matrices are PEB=(1011)P_{\mathcal E\leftarrow\mathcal B}=\begin{pmatrix}1&0\\1&1\end{pmatrix} and PBE=(1011)P_{\mathcal B\leftarrow\mathcal E}=\begin{pmatrix}1&0\\-1&1\end{pmatrix}, whose products in either order are I2I_2.

givenL1
2.1

Directly, T(e0+e1)=e0+2e1=(e0+e1)+e1T(e_0+e_1)=e_0+2e_1=(e_0+e_1)+e_1 and T(e1)=2e1T(e_1)=2e_1, giving the columns (1,1)(1,1) and (0,2)(0,2). Equivalently, PBE[T]EEPEB=(1012)P_{\mathcal B\leftarrow\mathcal E}[T]_{\mathcal E}^{\mathcal E}P_{\mathcal E\leftarrow\mathcal B}=\begin{pmatrix}1&0\\1&2\end{pmatrix}.

step 1.1L1
ExampleConstruction: AI-generatedVerification: AI-generatedprecheck passaudited 2026-08-11Open item page →

The quarter-turn (x,y)(y,x)(x,y)\mapsto(-y,x) on R2\mathbb R^2 has matrix (0110)\begin{pmatrix}0&-1\\1&0\end{pmatrix} and square I2-I_2

Example

The linear map Q:R2R2Q:\mathbb R^2\to\mathbb R^2 given by Q(x,y)=(y,x)Q(x,y)=(-y,x) is a quarter-turn. In the standard basis,

[Q]=(0110),[Q]2=I2.[Q]=\begin{pmatrix}0&-1\\1&0\end{pmatrix},\qquad [Q]^2=-I_2.

Thus Q2(x,y)=(x,y)Q^2(x,y)=(-x,-y) is the half-turn.

Facts & Assumptions

Given: The real vector space R2\mathbb R^2 with its standard ordered basis and the displayed map QQ.

[L1]

Verification

technique · direct
1.1

Since Q(1,0)=(0,1)Q(1,0)=(0,1) and Q(0,1)=(1,0)Q(0,1)=(-1,0), [L1] gives [Q]=(0110)[Q]=\begin{pmatrix}0&-1\\1&0\end{pmatrix}. Multiplying this matrix by itself gives (1001)=I2\begin{pmatrix}-1&0\\0&-1\end{pmatrix}=-I_2.

givenL1
2.1

By [L2], the matrix square is [Q2][Q^2], and direct substitution gives Q2(x,y)=Q(y,x)=(x,y)Q^2(x,y)=Q(-y,x)=(-x,-y), the half-turn.

step 1.1L1L2
ExampleConstruction: AI-generatedVerification: AI-generatedprecheck passaudited 2026-08-11Open item page →

Two explicit 22 by 22 matrices do not commute

Example

In M2(F)M_2(F), let

A=E01=(0100),B=E10=(0010).A=E_{01}=\begin{pmatrix}0&1\\0&0\end{pmatrix},\qquad B=E_{10}=\begin{pmatrix}0&0\\1&0\end{pmatrix}.

Then ABBAAB\ne BA.

Facts & Assumptions

Given: A field FF and the displayed matrix units in M2(F)M_2(F).

[L1]

Matrix units satisfy EijEk=δjkEiE_{ij}E_{k\ell}=\delta_{jk}E_{i\ell} (EijEk=δjkEiE_{ij}E_{k\ell}=\delta_{jk}E_{i\ell}).

Verification

technique · direct
1.1

By [L1], AB=E00=(1000)AB=E_{00}=\begin{pmatrix}1&0\\0&0\end{pmatrix} while BA=E11=(0001)BA=E_{11}=\begin{pmatrix}0&0\\0&1\end{pmatrix}.

givenL1
2.1

The products differ at entry (0,0)(0,0), since 101\ne0 in a field, so AA and BB do not commute.

step 1.1L1
ExampleConstruction: AI-generatedVerification: AI-generatedprecheck passaudited 2026-08-11Open item page →

A nonzero square-zero matrix is not similar to any diagonal matrix

Example

For every field FF, the matrix

N=E01=(0100)M2(F)N=E_{01}=\begin{pmatrix}0&1\\0&0\end{pmatrix}\in M_2(F)

is nonzero and satisfies N2=0N^2=0, but it is not similar to any diagonal matrix.

Facts & Assumptions

Given: A field FF and the displayed matrix NN.

[L1]

Matrix units satisfy EijEk=δjkEiE_{ij}E_{k\ell}=\delta_{jk}E_{i\ell} (EijEk=δjkEiE_{ij}E_{k\ell}=\delta_{jk}E_{i\ell}).

[L2]

Similarity has the form N=P1DPN=P^{-1}DP with PP invertible, and every nonzero scalar in a field has an inverse (Similar matrices: B=P1APB=P^{-1}AP for an invertible PP, Field).

Verification

technique · contradiction
1.1

By [L1], N2=E01E01=0N^2=E_{01}E_{01}=0, while the (0,1)(0,1)-entry of NN is 11, so N0N\ne0. Suppose, for contradiction, that N=P1DPN=P^{-1}DP as in [L2], with DD diagonal. Then 0=N2=P1D2P0=N^2=P^{-1}D^2P, so D2=0D^2=0.

assume-contraL1L2
2.1

Every diagonal entry dd of DD satisfies d2=0d^2=0. If d0d\ne0, the inverse from [L2] gives d=0d=0, a contradiction; hence D=0D=0, and then N=P10P=0N=P^{-1}0P=0, contradicting step 1.1. Thus NN is not similar to a diagonal matrix.

step 1.1L1L2discharge-contradiction
ExampleConstruction: AI-generatedVerification: AI-generatedprecheck passaudited 2026-08-11Open item page →

Changing both domain and codomain bases of a map F2F3F^2\to F^3 uses both sides of the formula

Example

Let T:F2F3T:F^2\to F^3 be T(x,y)=(x+2y,3xy,x+y)T(x,y)=(x+2y,3x-y,x+y). Use the standard bases B,C\mathcal B,\mathcal C and the new bases

B=(e0+e1,e1),C=(f0+f2,f1,f2).\mathcal B'=(e_0+e_1,e_1),\qquad \mathcal C'=(f_0+f_2,f_1,f_2).

Then

[T]BC=(322111).[T]_{\mathcal B'}^{\mathcal C'}=\begin{pmatrix}3&2\\2&-1\\-1&-1\end{pmatrix}.

Facts & Assumptions

Given: The displayed map and four ordered bases.

[L1]

The two-sided formula is [T]BC=PCC[T]BCPBB[T]_{\mathcal B'}^{\mathcal C'}=P_{\mathcal C'\leftarrow\mathcal C}[T]_{\mathcal B}^{\mathcal C}P_{\mathcal B\leftarrow\mathcal B'} ([T]BC=PCC[T]BCPBB[T]_{\mathcal B'}^{\mathcal C'}=P_{\mathcal C'\leftarrow\mathcal C}[T]_{\mathcal B}^{\mathcal C}P_{\mathcal B\leftarrow\mathcal B'}).

Verification

technique · direct
1.1

Here [T]BC=(123111)[T]_{\mathcal B}^{\mathcal C}=\begin{pmatrix}1&2\\3&-1\\1&1\end{pmatrix}, PBB=(1011)P_{\mathcal B\leftarrow\mathcal B'}=\begin{pmatrix}1&0\\1&1\end{pmatrix}, and PCC=(100010101)P_{\mathcal C'\leftarrow\mathcal C}=\begin{pmatrix}1&0&0\\0&1&0\\-1&0&1\end{pmatrix}. Multiplying in the order of [L1] gives (322111)\begin{pmatrix}3&2\\2&-1\\-1&-1\end{pmatrix}.

givenL1
2.1

Independently, T(e0+e1)=(3,2,2)=3(f0+f2)+2f1f2T(e_0+e_1)=(3,2,2)=3(f_0+f_2)+2f_1-f_2 and T(e1)=(2,1,1)=2(f0+f2)f1f2T(e_1)=(2,-1,1)=2(f_0+f_2)-f_1-f_2, producing the same two coordinate columns.

step 1.1L1
ExampleConstruction: AI-generatedVerification: AI-generatedprecheck passaudited 2026-08-11Open item page →

A 22 by 33 matrix and a 33 by 22 matrix give square products of different sizes but equal traces

Example

Over any field FF, let

A=(120013),B=(102101).A=\begin{pmatrix}1&2&0\\0&1&3\end{pmatrix},\qquad B=\begin{pmatrix}1&0\\2&1\\0&1\end{pmatrix}.

The product ABAB is 22 by 22, the product BABA is 33 by 33, and their traces are equal.

Facts & Assumptions

Given: The displayed rectangular matrices over a field FF.

Verification

technique · direct
1.1

Direct multiplication gives AB=(5224)AB=\begin{pmatrix}5&2\\2&4\end{pmatrix} and BA=(120253013)BA=\begin{pmatrix}1&2&0\\2&5&3\\0&1&3\end{pmatrix}.

givenL1
2.1

Hence tr(AB)=5+4=9\operatorname{tr}(AB)=5+4=9 and tr(BA)=1+5+3=9\operatorname{tr}(BA)=1+5+3=9 as elements of FF, verifying [L1] for products of different square sizes.

step 1.1L1

Sources