SlideShare a Scribd company logo
1 Operations JOSEPH MUSCAT 2013 1
Universal Algebras
1 Operations
A universal algebra is a set X with some operations ∗ : Xn
→ X and
relations1
∼⊆ Xm
.
For example, there may be specific constants (n = 0), functions (n = 1), and
operations (n = 2), etc. An n-ary operation is usually written as x∗y∗. . . instead
of ∗(x, y, . . .), and an m-ary relation as x ∼ y ∼ . . . instead of ∼ (x, y, . . .).
Elements are indistinguishable when
∗(. . . , x, . . .) = ∗(. . . , y, . . .), ∼ (. . . , x, . . .) ⇔ ∼ (. . . , y, . . .).
A subalgebra is a subset closed under all the operations
x, y, . . . ∈ Y ⇒ x ∗ y ∗ . . . ∈ Y
(The relations are obviously inherited.)
If Ai are subalgebras, then i Ai is a subalgebra.
[[A]], the subalgebra generated by A, is the smallest subalgebra containing
A,
[[A]] := { Y ⊆ X : A ⊆ Y, Y is a subalgebra }
Hence A ⊆ Y ⇔ [[A]] ⊆ Y (for any subalgebra Y ).
A ∩ B is the largest subalgebra contained in the algebras A and B; [[A ∪ B]]
is the smallest containing them. The collection of subalgebras form a complete
lattice.
For any subsets,
A ⊆ [[A]], [[[[A]]]] = [[A]]
A ⊆ B ⇒ [[A]] ⊆ [[B]].
The map A → [[A]] is thus a ‘closure’ map on the lattice of subsets of X, with
the ‘closed sets’ being the subalgebras.
Proof. Let x, y, . . . ∈ [[A]], then for any Y ⊇ A, x ∗ y ∗ · · · ∈ Y , so x ∗
y ∗ · · · ∈ [[A]]. Hence A ⊆ B ⊆ [[B]] gives [[A]] ⊆ [[B]]. Also [[A]] ⊆ [[A]], so
[[[[A]]]] ⊆ [[A]] ⊆ [[[[A]]]].
When the number of operations is finite, the generated subalgebra can be
constructed recursively as [[A]] = n∈N Bn where
B0 := A, Bn+ := Bn ∪
∗
∗(Bn).
1Relations are not usually included in the definition of universal algebras.
2 Morphisms JOSEPH MUSCAT 2013 2
Proof: that Bn ⊆ [[A]] and A = B0 ⊆ Bn are obvious (by induction);
if x, . . . , y ∈ n Bn then x ∈ Bn1 , . . . , y ∈ Bnk
, so ∃r, x, . . . , y ∈ Br and
∗(x, . . . , y) ∈ Br+ ⊆ n Bn; so [[A]] = n Bn.
Hence if A is countable, so is [[A]].
The free algebra generated by A is that algebra in which x∗y∗. . . are distinct
from each other, for any x, y, . . . ∈ A, and there are no relations.
2 Morphisms
The morphisms (also called homomorphisms) between compatible universal
algebras (i.e., with the same type of operations and relations) are those functions
φ : X → Y which preserve all the operations and relations
φ(x ∗ y ∗ . . .) = φ(x) ∗ φ(y) ∗ . . .
x ∼ y ∼ . . . ⇒ φ(x) ∼ φ(y) ∼ . . .
For the constants, functions, and binary operations, this means
φ(cX) = cY , φ(fX(x)) = fY (φ(x)), φ(x ∗ y) = φ(x) ∗ φ(y).
An algebra with its morphisms forms a category. Without relations, a mor-
phism is an isomorphism when it is bijective (since φ(φ−1
(x) ∗ φ−1
(y) ∗ . . .) =
x ∗ y ∗ . . ., so φ−1
is a morphism). The monomorphisms are the 1-1 morphisms;
the epimorphisms are the onto morphisms.
Proposition 1
For a morphism φ : X → Y ,
if A is a subalgebra of X, then so is φA;
for any subset S ⊆ X, φ[[S]] = [[φS]];
if B is a subalgebra of Y , then so is φ−1
B.
Proof. If φ(x), φ(y), . . . ∈ φA, then
φ(x) ∗ φ(y) ∗ · · · = φ(x ∗ y ∗ · · · ) ∈ φA
since A is a subalgebra. Let x, y, . . . ∈ φ−1
B, i.e., φ(x), φ(y), . . . ∈ B, then
φ(x∗y ∗· · · ) = φ(x)∗φ(y)∗· · · ∈ B, hence x∗y ∗· · · ∈ φ−1
B. Finally, if φA ⊆ C
(a subalgebra of Y ), then A ⊆ [[A]] ⊆ φ−1
C, so [[φA]] = φ[[A]].
Products: X × Y can be given an algebra structure by defining the opera-
tions
(x1, y1) ∗ (x2, y2) ∗ . . . := (x1 ∗ x2 ∗ . . . , y1 ∗ y2 ∗ . . .)
2 Morphisms JOSEPH MUSCAT 2013 3
(x1, y1) ∼ (x2, y2) ∼ . . . : ⇔ (x1 ∼ x2 ∼ . . .) and (y1 ∼ y2 ∼ . . .)
More generally, XA
is an algebra with
(f ∗ g ∗ . . .)(a) := f(a) ∗ g(a) ∗ . . . ,
f ∼ g ∼ . . . : ⇔ f(a) ∼ g(a) ∼ . . . ∀a ∈ A.
There is also a coproduct (or free product).
Quotients: An equivalence relation on X which is invariant under the op-
erations and relations is called a congruence (or stable relation), i.e.,
x1 ≈ x2, y1 ≈ y2, . . . ⇒ (x1 ∗ y1 ∗ . . .) ≈ (x2 ∗ y2 ∗ . . .)
and x1 ∼ y1 ∼ . . . ⇒ x2 ∼ y2 ∼ . . .
The operations and relations can then be extended to act on the set X/ ≈ of
equivalence classes
[x] ∗ [y] ∗ . . . := [x ∗ y ∗ . . .]
[x] ∼ [y] ∼ . . . : ⇔ x ∼ y ∼ . . .
i.e., the mapping φ : x → [x] is a morphism X → X/ ≈.
For example, indistinguishable elements form a congruent relation, that can
be factored away. An algebra that has only trivial congruent relations (x ∼
y ⇔ x = y or x ∼ y ⇔ True) is called simple: it has only trivial quotients.
The following three theorems apply when the relations satisfy x ∼ y ∼ . . . ⇔
φ(x) ∼ φ(y) ∼ . . .:
First isomorphism theorem: For any morphism φ : X → Y , the relation
φ(x) = φ(y) is a congruence (called the kernel of φ), such that the associated
quotient space
(X/≈) ∼= φX.
Second isomorphism theorem: If Y is a subalgebra of X, and ≈ is a con-
gruence on X, then ≈ is a congruence on Y , and Y/ ≈ is isomorphic to the
subalgebra Y ′
⊆ X/≈, consisting of all the equivalence classes that contain an
element of Y .
Third isomorphism theorem: If a congruence ≈1 is finer than another ≈2,
then ≈1 induces a congruence on X/ ≈2, and
X/≈1
∼= (X/≈2)/≈1 .
There are two senses in which a space X is ‘contained’ in a larger space Y :
1. externally, by embedding X in Y , i.e., there is an isomorphism X → B ⊆
Y , denoted X ⊂∼ Y because X is, effectively, a subspace of Y ;
2. internally, by covering X by Y , i.e., there is an onto morphism Y → X,
so X ∼= Y/ ker φ; each element of X is refined into several in Y .
3 Compatibility JOSEPH MUSCAT 2013 4
Theorem 2
Every finitely-generated algebra is a quotient of the
finitely-generated free algebra.
(the same is true if the operations have intrinsic properties, i.e., subalgebras,
quotients and products have the same properties)
3 Compatibility
An operation is associative when ∗(x, y, . . .) exists for every finite number of
terms, such that
∗(. . . , ∗(x, y, . . .), u, . . .) = ∗(. . . , x, y, . . . , u, . . .)
For example, x ∗ y ∗ z = (x ∗ y) ∗ z; so the operation reduces to three basic ones
0 := ∗(), ∗(x), ∗(x, y)
such that
0 ∗ x = ∗(x), (x ∗ y) ∗ z = x ∗ (y ∗ z).
Note that ∗(x) = ∗(y) is a stable equivalence relation (with respect to ∗), with
related elements being indistinguishable algebraically; but can assume ∗(x) = x
by taking the quotient space and renaming; in this case, 0 ∗ x = x.
An operation is distributive over another when
∗(. . . , ◦(x, y, . . .), z, . . .) = ◦(∗(. . . , x, z, . . .), ∗(. . . , y, z, . . .), . . .)
For 0-,1-,2-operations, this means
(0) 1 2
(0) (0 = 1) (0 = 0∗
) (0 ∗ x = 0 = x ∗ 0)
1 (1◦
= 1) x∗◦
= x◦∗
(x ∗ y)◦
= x◦
∗ y = x ∗ y◦
2 (x + y)∗
= x∗
+ y∗
x ∗ z + y ∗ z = (x + y) ∗ z
z ∗ x + z ∗ y = z ∗ (x + y)
Two operations commute when
∗(◦(x1, y1, . . .), ◦(x2, y2, . . .), . . .) = ◦(∗(x1, x2, . . .), ∗(y1, y2, . . .))
For 1-,2-operations, this means
0 1 2
0 0 = 1
1 x∗◦
= x◦∗
(x + y)∗
= x∗
+ y∗
2 (x1 + y1) ∗ (x2 + y2) = x1 ∗ x2 + y1 ∗ y2
3.1 Examples JOSEPH MUSCAT 2013 5
Commuting 2-operations with identities must actually be the same, and must
be commutative x ∗ y = y ∗ x and associative.
Proof: The identities are the same: 1 = 11 = (1 + 0)(0 + 1) = 10 + 01 =
0 + 0 = 0. ab = (a + 0)(0 + b) = a0 + 0b = a + b so the operations are the
same, and (ab)(cd) = (ac)(bd). Hence ab = (1a)(b1) = (1b)(a1) = ba and
a(bc) = (a1)(bc) = (ab)c.
In particular if an operation with identity commutes with itself, it must be
associative and commutative x ∗ y = y ∗ x.
3.1 Examples
1. The simplest example is a set with a single constant 0, sometimes called
the field with one element.
2. A set with a constant and a 1-operation; properties may be 0∗
= 0, x∗∗
=
x.
3. A set with a constant, a 1-operation, and a 2-operation: e.g. 0 ∗ x = x,
(x ∗ y)∗
= y∗
∗ x∗
.

More Related Content

What's hot

Optimization Approach to Nash Euilibria with Applications to Interchangeability
Optimization Approach to Nash Euilibria with Applications to InterchangeabilityOptimization Approach to Nash Euilibria with Applications to Interchangeability
Optimization Approach to Nash Euilibria with Applications to Interchangeability
Yosuke YASUDA
 
Chapter 5(partial differentiation)
Chapter 5(partial differentiation)Chapter 5(partial differentiation)
Chapter 5(partial differentiation)
Eko Wijayanto
 
Interpolation with unequal interval
Interpolation with unequal intervalInterpolation with unequal interval
Interpolation with unequal interval
Dr. Nirav Vyas
 
Numarical values
Numarical valuesNumarical values
Numarical values
AmanSaeed11
 
Partial derivative1
Partial derivative1Partial derivative1
Partial derivative1
Nidhu Sharma
 
Numarical values highlighted
Numarical values highlightedNumarical values highlighted
Numarical values highlighted
AmanSaeed11
 
Partial differentiation
Partial differentiationPartial differentiation
Partial differentiation
Tanuj Parikh
 
Transformation of random variables
Transformation of random variablesTransformation of random variables
Transformation of random variables
Tarun Gehlot
 
Partial Derivatives
Partial DerivativesPartial Derivatives
Partial Derivatives
Aman Singh
 
Reformulation of Nash Equilibrium with an Application to Interchangeability
Reformulation of Nash Equilibrium with an Application to InterchangeabilityReformulation of Nash Equilibrium with an Application to Interchangeability
Reformulation of Nash Equilibrium with an Application to Interchangeability
Yosuke YASUDA
 
Interpolation with Finite differences
Interpolation with Finite differencesInterpolation with Finite differences
Interpolation with Finite differences
Dr. Nirav Vyas
 
Andrei rusu-2013-amaa-workshop
Andrei rusu-2013-amaa-workshopAndrei rusu-2013-amaa-workshop
Andrei rusu-2013-amaa-workshop
Andries Rusu
 
Lesson 19: Partial Derivatives
Lesson 19: Partial DerivativesLesson 19: Partial Derivatives
Lesson 19: Partial Derivatives
Matthew Leingang
 
Eigenvalue eigenvector slides
Eigenvalue eigenvector slidesEigenvalue eigenvector slides
Eigenvalue eigenvector slides
AmanSaeed11
 
Unit iv
Unit ivUnit iv
Unit iv
mrecedu
 
Newton divided difference interpolation
Newton divided difference interpolationNewton divided difference interpolation
Newton divided difference interpolation
VISHAL DONGA
 
Partial derivatives love coffee.key
Partial derivatives love coffee.keyPartial derivatives love coffee.key
Partial derivatives love coffee.key
guest1a1479
 
Dag in mmhc
Dag in mmhcDag in mmhc
Dag in mmhc
KyusonLim
 
Analytic function
Analytic functionAnalytic function
Analytic function
Santhanam Krishnan
 
Roots equations
Roots equationsRoots equations
Roots equations
oscar
 

What's hot (20)

Optimization Approach to Nash Euilibria with Applications to Interchangeability
Optimization Approach to Nash Euilibria with Applications to InterchangeabilityOptimization Approach to Nash Euilibria with Applications to Interchangeability
Optimization Approach to Nash Euilibria with Applications to Interchangeability
 
Chapter 5(partial differentiation)
Chapter 5(partial differentiation)Chapter 5(partial differentiation)
Chapter 5(partial differentiation)
 
Interpolation with unequal interval
Interpolation with unequal intervalInterpolation with unequal interval
Interpolation with unequal interval
 
Numarical values
Numarical valuesNumarical values
Numarical values
 
Partial derivative1
Partial derivative1Partial derivative1
Partial derivative1
 
Numarical values highlighted
Numarical values highlightedNumarical values highlighted
Numarical values highlighted
 
Partial differentiation
Partial differentiationPartial differentiation
Partial differentiation
 
Transformation of random variables
Transformation of random variablesTransformation of random variables
Transformation of random variables
 
Partial Derivatives
Partial DerivativesPartial Derivatives
Partial Derivatives
 
Reformulation of Nash Equilibrium with an Application to Interchangeability
Reformulation of Nash Equilibrium with an Application to InterchangeabilityReformulation of Nash Equilibrium with an Application to Interchangeability
Reformulation of Nash Equilibrium with an Application to Interchangeability
 
Interpolation with Finite differences
Interpolation with Finite differencesInterpolation with Finite differences
Interpolation with Finite differences
 
Andrei rusu-2013-amaa-workshop
Andrei rusu-2013-amaa-workshopAndrei rusu-2013-amaa-workshop
Andrei rusu-2013-amaa-workshop
 
Lesson 19: Partial Derivatives
Lesson 19: Partial DerivativesLesson 19: Partial Derivatives
Lesson 19: Partial Derivatives
 
Eigenvalue eigenvector slides
Eigenvalue eigenvector slidesEigenvalue eigenvector slides
Eigenvalue eigenvector slides
 
Unit iv
Unit ivUnit iv
Unit iv
 
Newton divided difference interpolation
Newton divided difference interpolationNewton divided difference interpolation
Newton divided difference interpolation
 
Partial derivatives love coffee.key
Partial derivatives love coffee.keyPartial derivatives love coffee.key
Partial derivatives love coffee.key
 
Dag in mmhc
Dag in mmhcDag in mmhc
Dag in mmhc
 
Analytic function
Analytic functionAnalytic function
Analytic function
 
Roots equations
Roots equationsRoots equations
Roots equations
 

Similar to Universal algebra (1)

Pmath 351 note
Pmath 351 notePmath 351 note
Pmath 351 note
Johnew Zhang
 
GATE Engineering Maths : Limit, Continuity and Differentiability
GATE Engineering Maths : Limit, Continuity and DifferentiabilityGATE Engineering Maths : Limit, Continuity and Differentiability
GATE Engineering Maths : Limit, Continuity and Differentiability
ParthDave57
 
Some Other Properties of Fuzzy Filters on Lattice Implication Algebras
Some Other Properties of Fuzzy Filters on Lattice Implication AlgebrasSome Other Properties of Fuzzy Filters on Lattice Implication Algebras
Some Other Properties of Fuzzy Filters on Lattice Implication Algebras
ijceronline
 
Advanced Microeconomics
Advanced MicroeconomicsAdvanced Microeconomics
Advanced Microeconomics
Jim Webb
 
MA500-2 Topological Structures 2016Aisling McCluskey, Dar.docx
MA500-2 Topological Structures 2016Aisling McCluskey, Dar.docxMA500-2 Topological Structures 2016Aisling McCluskey, Dar.docx
MA500-2 Topological Structures 2016Aisling McCluskey, Dar.docx
smile790243
 
Existence Theory for Second Order Nonlinear Functional Random Differential Eq...
Existence Theory for Second Order Nonlinear Functional Random Differential Eq...Existence Theory for Second Order Nonlinear Functional Random Differential Eq...
Existence Theory for Second Order Nonlinear Functional Random Differential Eq...
IOSR Journals
 
Expectation of Discrete Random Variable.ppt
Expectation of Discrete Random Variable.pptExpectation of Discrete Random Variable.ppt
Expectation of Discrete Random Variable.ppt
AlyasarJabbarli
 
Alg grp
Alg grpAlg grp
Limits and derivatives
Limits and derivativesLimits and derivatives
Limits and derivatives
Laxmikant Deshmukh
 
Finance Enginering from Columbia.pdf
Finance Enginering from Columbia.pdfFinance Enginering from Columbia.pdf
Finance Enginering from Columbia.pdf
CarlosLazo45
 
February 11 2016
February 11 2016February 11 2016
February 11 2016
khyps13
 
Differentiation
DifferentiationDifferentiation
Differentiation
puspitaaya
 
5.3 Basic functions. Dynamic slides.
5.3 Basic functions. Dynamic slides.5.3 Basic functions. Dynamic slides.
5.3 Basic functions. Dynamic slides.
Jan Plaza
 
Quantitative Techniques random variables
Quantitative Techniques random variablesQuantitative Techniques random variables
Quantitative Techniques random variables
Rohan Bhatkar
 
Interval valued intuitionistic fuzzy homomorphism of bf algebras
Interval valued intuitionistic fuzzy homomorphism of bf algebrasInterval valued intuitionistic fuzzy homomorphism of bf algebras
Interval valued intuitionistic fuzzy homomorphism of bf algebras
Alexander Decker
 
polynomials_.pdf
polynomials_.pdfpolynomials_.pdf
polynomials_.pdf
WondererBack
 
A Study on Intuitionistic Multi-Anti Fuzzy Subgroups
A Study on Intuitionistic Multi-Anti Fuzzy Subgroups A Study on Intuitionistic Multi-Anti Fuzzy Subgroups
A Study on Intuitionistic Multi-Anti Fuzzy Subgroups
mathsjournal
 
A Study on Intuitionistic Multi-Anti Fuzzy Subgroups
A Study on Intuitionistic Multi-Anti Fuzzy SubgroupsA Study on Intuitionistic Multi-Anti Fuzzy Subgroups
A Study on Intuitionistic Multi-Anti Fuzzy Subgroups
mathsjournal
 
Slides mc gill-v4
Slides mc gill-v4Slides mc gill-v4
Slides mc gill-v4
Arthur Charpentier
 
Differential Calculus
Differential Calculus Differential Calculus
Differential Calculus
OlooPundit
 

Similar to Universal algebra (1) (20)

Pmath 351 note
Pmath 351 notePmath 351 note
Pmath 351 note
 
GATE Engineering Maths : Limit, Continuity and Differentiability
GATE Engineering Maths : Limit, Continuity and DifferentiabilityGATE Engineering Maths : Limit, Continuity and Differentiability
GATE Engineering Maths : Limit, Continuity and Differentiability
 
Some Other Properties of Fuzzy Filters on Lattice Implication Algebras
Some Other Properties of Fuzzy Filters on Lattice Implication AlgebrasSome Other Properties of Fuzzy Filters on Lattice Implication Algebras
Some Other Properties of Fuzzy Filters on Lattice Implication Algebras
 
Advanced Microeconomics
Advanced MicroeconomicsAdvanced Microeconomics
Advanced Microeconomics
 
MA500-2 Topological Structures 2016Aisling McCluskey, Dar.docx
MA500-2 Topological Structures 2016Aisling McCluskey, Dar.docxMA500-2 Topological Structures 2016Aisling McCluskey, Dar.docx
MA500-2 Topological Structures 2016Aisling McCluskey, Dar.docx
 
Existence Theory for Second Order Nonlinear Functional Random Differential Eq...
Existence Theory for Second Order Nonlinear Functional Random Differential Eq...Existence Theory for Second Order Nonlinear Functional Random Differential Eq...
Existence Theory for Second Order Nonlinear Functional Random Differential Eq...
 
Expectation of Discrete Random Variable.ppt
Expectation of Discrete Random Variable.pptExpectation of Discrete Random Variable.ppt
Expectation of Discrete Random Variable.ppt
 
Alg grp
Alg grpAlg grp
Alg grp
 
Limits and derivatives
Limits and derivativesLimits and derivatives
Limits and derivatives
 
Finance Enginering from Columbia.pdf
Finance Enginering from Columbia.pdfFinance Enginering from Columbia.pdf
Finance Enginering from Columbia.pdf
 
February 11 2016
February 11 2016February 11 2016
February 11 2016
 
Differentiation
DifferentiationDifferentiation
Differentiation
 
5.3 Basic functions. Dynamic slides.
5.3 Basic functions. Dynamic slides.5.3 Basic functions. Dynamic slides.
5.3 Basic functions. Dynamic slides.
 
Quantitative Techniques random variables
Quantitative Techniques random variablesQuantitative Techniques random variables
Quantitative Techniques random variables
 
Interval valued intuitionistic fuzzy homomorphism of bf algebras
Interval valued intuitionistic fuzzy homomorphism of bf algebrasInterval valued intuitionistic fuzzy homomorphism of bf algebras
Interval valued intuitionistic fuzzy homomorphism of bf algebras
 
polynomials_.pdf
polynomials_.pdfpolynomials_.pdf
polynomials_.pdf
 
A Study on Intuitionistic Multi-Anti Fuzzy Subgroups
A Study on Intuitionistic Multi-Anti Fuzzy Subgroups A Study on Intuitionistic Multi-Anti Fuzzy Subgroups
A Study on Intuitionistic Multi-Anti Fuzzy Subgroups
 
A Study on Intuitionistic Multi-Anti Fuzzy Subgroups
A Study on Intuitionistic Multi-Anti Fuzzy SubgroupsA Study on Intuitionistic Multi-Anti Fuzzy Subgroups
A Study on Intuitionistic Multi-Anti Fuzzy Subgroups
 
Slides mc gill-v4
Slides mc gill-v4Slides mc gill-v4
Slides mc gill-v4
 
Differential Calculus
Differential Calculus Differential Calculus
Differential Calculus
 

Recently uploaded

Digital Artifact 1 - 10VCD Environments Unit
Digital Artifact 1 - 10VCD Environments UnitDigital Artifact 1 - 10VCD Environments Unit
Digital Artifact 1 - 10VCD Environments Unit
chanes7
 
C1 Rubenstein AP HuG xxxxxxxxxxxxxx.pptx
C1 Rubenstein AP HuG xxxxxxxxxxxxxx.pptxC1 Rubenstein AP HuG xxxxxxxxxxxxxx.pptx
C1 Rubenstein AP HuG xxxxxxxxxxxxxx.pptx
mulvey2
 
Film vocab for eal 3 students: Australia the movie
Film vocab for eal 3 students: Australia the movieFilm vocab for eal 3 students: Australia the movie
Film vocab for eal 3 students: Australia the movie
Nicholas Montgomery
 
CACJapan - GROUP Presentation 1- Wk 4.pdf
CACJapan - GROUP Presentation 1- Wk 4.pdfCACJapan - GROUP Presentation 1- Wk 4.pdf
CACJapan - GROUP Presentation 1- Wk 4.pdf
camakaiclarkmusic
 
Azure Interview Questions and Answers PDF By ScholarHat
Azure Interview Questions and Answers PDF By ScholarHatAzure Interview Questions and Answers PDF By ScholarHat
Azure Interview Questions and Answers PDF By ScholarHat
Scholarhat
 
Top five deadliest dog breeds in America
Top five deadliest dog breeds in AmericaTop five deadliest dog breeds in America
Top five deadliest dog breeds in America
Bisnar Chase Personal Injury Attorneys
 
Pollock and Snow "DEIA in the Scholarly Landscape, Session One: Setting Expec...
Pollock and Snow "DEIA in the Scholarly Landscape, Session One: Setting Expec...Pollock and Snow "DEIA in the Scholarly Landscape, Session One: Setting Expec...
Pollock and Snow "DEIA in the Scholarly Landscape, Session One: Setting Expec...
National Information Standards Organization (NISO)
 
Life upper-Intermediate B2 Workbook for student
Life upper-Intermediate B2 Workbook for studentLife upper-Intermediate B2 Workbook for student
Life upper-Intermediate B2 Workbook for student
NgcHiNguyn25
 
Executive Directors Chat Leveraging AI for Diversity, Equity, and Inclusion
Executive Directors Chat  Leveraging AI for Diversity, Equity, and InclusionExecutive Directors Chat  Leveraging AI for Diversity, Equity, and Inclusion
Executive Directors Chat Leveraging AI for Diversity, Equity, and Inclusion
TechSoup
 
ISO/IEC 27001, ISO/IEC 42001, and GDPR: Best Practices for Implementation and...
ISO/IEC 27001, ISO/IEC 42001, and GDPR: Best Practices for Implementation and...ISO/IEC 27001, ISO/IEC 42001, and GDPR: Best Practices for Implementation and...
ISO/IEC 27001, ISO/IEC 42001, and GDPR: Best Practices for Implementation and...
PECB
 
Lapbook sobre os Regimes Totalitários.pdf
Lapbook sobre os Regimes Totalitários.pdfLapbook sobre os Regimes Totalitários.pdf
Lapbook sobre os Regimes Totalitários.pdf
Jean Carlos Nunes Paixão
 
writing about opinions about Australia the movie
writing about opinions about Australia the moviewriting about opinions about Australia the movie
writing about opinions about Australia the movie
Nicholas Montgomery
 
The Diamonds of 2023-2024 in the IGRA collection
The Diamonds of 2023-2024 in the IGRA collectionThe Diamonds of 2023-2024 in the IGRA collection
The Diamonds of 2023-2024 in the IGRA collection
Israel Genealogy Research Association
 
Liberal Approach to the Study of Indian Politics.pdf
Liberal Approach to the Study of Indian Politics.pdfLiberal Approach to the Study of Indian Politics.pdf
Liberal Approach to the Study of Indian Politics.pdf
WaniBasim
 
South African Journal of Science: Writing with integrity workshop (2024)
South African Journal of Science: Writing with integrity workshop (2024)South African Journal of Science: Writing with integrity workshop (2024)
South African Journal of Science: Writing with integrity workshop (2024)
Academy of Science of South Africa
 
A Independência da América Espanhola LAPBOOK.pdf
A Independência da América Espanhola LAPBOOK.pdfA Independência da América Espanhola LAPBOOK.pdf
A Independência da América Espanhola LAPBOOK.pdf
Jean Carlos Nunes Paixão
 
The basics of sentences session 5pptx.pptx
The basics of sentences session 5pptx.pptxThe basics of sentences session 5pptx.pptx
The basics of sentences session 5pptx.pptx
heathfieldcps1
 
S1-Introduction-Biopesticides in ICM.pptx
S1-Introduction-Biopesticides in ICM.pptxS1-Introduction-Biopesticides in ICM.pptx
S1-Introduction-Biopesticides in ICM.pptx
tarandeep35
 
A Survey of Techniques for Maximizing LLM Performance.pptx
A Survey of Techniques for Maximizing LLM Performance.pptxA Survey of Techniques for Maximizing LLM Performance.pptx
A Survey of Techniques for Maximizing LLM Performance.pptx
thanhdowork
 
World environment day ppt For 5 June 2024
World environment day ppt For 5 June 2024World environment day ppt For 5 June 2024
World environment day ppt For 5 June 2024
ak6969907
 

Recently uploaded (20)

Digital Artifact 1 - 10VCD Environments Unit
Digital Artifact 1 - 10VCD Environments UnitDigital Artifact 1 - 10VCD Environments Unit
Digital Artifact 1 - 10VCD Environments Unit
 
C1 Rubenstein AP HuG xxxxxxxxxxxxxx.pptx
C1 Rubenstein AP HuG xxxxxxxxxxxxxx.pptxC1 Rubenstein AP HuG xxxxxxxxxxxxxx.pptx
C1 Rubenstein AP HuG xxxxxxxxxxxxxx.pptx
 
Film vocab for eal 3 students: Australia the movie
Film vocab for eal 3 students: Australia the movieFilm vocab for eal 3 students: Australia the movie
Film vocab for eal 3 students: Australia the movie
 
CACJapan - GROUP Presentation 1- Wk 4.pdf
CACJapan - GROUP Presentation 1- Wk 4.pdfCACJapan - GROUP Presentation 1- Wk 4.pdf
CACJapan - GROUP Presentation 1- Wk 4.pdf
 
Azure Interview Questions and Answers PDF By ScholarHat
Azure Interview Questions and Answers PDF By ScholarHatAzure Interview Questions and Answers PDF By ScholarHat
Azure Interview Questions and Answers PDF By ScholarHat
 
Top five deadliest dog breeds in America
Top five deadliest dog breeds in AmericaTop five deadliest dog breeds in America
Top five deadliest dog breeds in America
 
Pollock and Snow "DEIA in the Scholarly Landscape, Session One: Setting Expec...
Pollock and Snow "DEIA in the Scholarly Landscape, Session One: Setting Expec...Pollock and Snow "DEIA in the Scholarly Landscape, Session One: Setting Expec...
Pollock and Snow "DEIA in the Scholarly Landscape, Session One: Setting Expec...
 
Life upper-Intermediate B2 Workbook for student
Life upper-Intermediate B2 Workbook for studentLife upper-Intermediate B2 Workbook for student
Life upper-Intermediate B2 Workbook for student
 
Executive Directors Chat Leveraging AI for Diversity, Equity, and Inclusion
Executive Directors Chat  Leveraging AI for Diversity, Equity, and InclusionExecutive Directors Chat  Leveraging AI for Diversity, Equity, and Inclusion
Executive Directors Chat Leveraging AI for Diversity, Equity, and Inclusion
 
ISO/IEC 27001, ISO/IEC 42001, and GDPR: Best Practices for Implementation and...
ISO/IEC 27001, ISO/IEC 42001, and GDPR: Best Practices for Implementation and...ISO/IEC 27001, ISO/IEC 42001, and GDPR: Best Practices for Implementation and...
ISO/IEC 27001, ISO/IEC 42001, and GDPR: Best Practices for Implementation and...
 
Lapbook sobre os Regimes Totalitários.pdf
Lapbook sobre os Regimes Totalitários.pdfLapbook sobre os Regimes Totalitários.pdf
Lapbook sobre os Regimes Totalitários.pdf
 
writing about opinions about Australia the movie
writing about opinions about Australia the moviewriting about opinions about Australia the movie
writing about opinions about Australia the movie
 
The Diamonds of 2023-2024 in the IGRA collection
The Diamonds of 2023-2024 in the IGRA collectionThe Diamonds of 2023-2024 in the IGRA collection
The Diamonds of 2023-2024 in the IGRA collection
 
Liberal Approach to the Study of Indian Politics.pdf
Liberal Approach to the Study of Indian Politics.pdfLiberal Approach to the Study of Indian Politics.pdf
Liberal Approach to the Study of Indian Politics.pdf
 
South African Journal of Science: Writing with integrity workshop (2024)
South African Journal of Science: Writing with integrity workshop (2024)South African Journal of Science: Writing with integrity workshop (2024)
South African Journal of Science: Writing with integrity workshop (2024)
 
A Independência da América Espanhola LAPBOOK.pdf
A Independência da América Espanhola LAPBOOK.pdfA Independência da América Espanhola LAPBOOK.pdf
A Independência da América Espanhola LAPBOOK.pdf
 
The basics of sentences session 5pptx.pptx
The basics of sentences session 5pptx.pptxThe basics of sentences session 5pptx.pptx
The basics of sentences session 5pptx.pptx
 
S1-Introduction-Biopesticides in ICM.pptx
S1-Introduction-Biopesticides in ICM.pptxS1-Introduction-Biopesticides in ICM.pptx
S1-Introduction-Biopesticides in ICM.pptx
 
A Survey of Techniques for Maximizing LLM Performance.pptx
A Survey of Techniques for Maximizing LLM Performance.pptxA Survey of Techniques for Maximizing LLM Performance.pptx
A Survey of Techniques for Maximizing LLM Performance.pptx
 
World environment day ppt For 5 June 2024
World environment day ppt For 5 June 2024World environment day ppt For 5 June 2024
World environment day ppt For 5 June 2024
 

Universal algebra (1)

  • 1. 1 Operations JOSEPH MUSCAT 2013 1 Universal Algebras 1 Operations A universal algebra is a set X with some operations ∗ : Xn → X and relations1 ∼⊆ Xm . For example, there may be specific constants (n = 0), functions (n = 1), and operations (n = 2), etc. An n-ary operation is usually written as x∗y∗. . . instead of ∗(x, y, . . .), and an m-ary relation as x ∼ y ∼ . . . instead of ∼ (x, y, . . .). Elements are indistinguishable when ∗(. . . , x, . . .) = ∗(. . . , y, . . .), ∼ (. . . , x, . . .) ⇔ ∼ (. . . , y, . . .). A subalgebra is a subset closed under all the operations x, y, . . . ∈ Y ⇒ x ∗ y ∗ . . . ∈ Y (The relations are obviously inherited.) If Ai are subalgebras, then i Ai is a subalgebra. [[A]], the subalgebra generated by A, is the smallest subalgebra containing A, [[A]] := { Y ⊆ X : A ⊆ Y, Y is a subalgebra } Hence A ⊆ Y ⇔ [[A]] ⊆ Y (for any subalgebra Y ). A ∩ B is the largest subalgebra contained in the algebras A and B; [[A ∪ B]] is the smallest containing them. The collection of subalgebras form a complete lattice. For any subsets, A ⊆ [[A]], [[[[A]]]] = [[A]] A ⊆ B ⇒ [[A]] ⊆ [[B]]. The map A → [[A]] is thus a ‘closure’ map on the lattice of subsets of X, with the ‘closed sets’ being the subalgebras. Proof. Let x, y, . . . ∈ [[A]], then for any Y ⊇ A, x ∗ y ∗ · · · ∈ Y , so x ∗ y ∗ · · · ∈ [[A]]. Hence A ⊆ B ⊆ [[B]] gives [[A]] ⊆ [[B]]. Also [[A]] ⊆ [[A]], so [[[[A]]]] ⊆ [[A]] ⊆ [[[[A]]]]. When the number of operations is finite, the generated subalgebra can be constructed recursively as [[A]] = n∈N Bn where B0 := A, Bn+ := Bn ∪ ∗ ∗(Bn). 1Relations are not usually included in the definition of universal algebras.
  • 2. 2 Morphisms JOSEPH MUSCAT 2013 2 Proof: that Bn ⊆ [[A]] and A = B0 ⊆ Bn are obvious (by induction); if x, . . . , y ∈ n Bn then x ∈ Bn1 , . . . , y ∈ Bnk , so ∃r, x, . . . , y ∈ Br and ∗(x, . . . , y) ∈ Br+ ⊆ n Bn; so [[A]] = n Bn. Hence if A is countable, so is [[A]]. The free algebra generated by A is that algebra in which x∗y∗. . . are distinct from each other, for any x, y, . . . ∈ A, and there are no relations. 2 Morphisms The morphisms (also called homomorphisms) between compatible universal algebras (i.e., with the same type of operations and relations) are those functions φ : X → Y which preserve all the operations and relations φ(x ∗ y ∗ . . .) = φ(x) ∗ φ(y) ∗ . . . x ∼ y ∼ . . . ⇒ φ(x) ∼ φ(y) ∼ . . . For the constants, functions, and binary operations, this means φ(cX) = cY , φ(fX(x)) = fY (φ(x)), φ(x ∗ y) = φ(x) ∗ φ(y). An algebra with its morphisms forms a category. Without relations, a mor- phism is an isomorphism when it is bijective (since φ(φ−1 (x) ∗ φ−1 (y) ∗ . . .) = x ∗ y ∗ . . ., so φ−1 is a morphism). The monomorphisms are the 1-1 morphisms; the epimorphisms are the onto morphisms. Proposition 1 For a morphism φ : X → Y , if A is a subalgebra of X, then so is φA; for any subset S ⊆ X, φ[[S]] = [[φS]]; if B is a subalgebra of Y , then so is φ−1 B. Proof. If φ(x), φ(y), . . . ∈ φA, then φ(x) ∗ φ(y) ∗ · · · = φ(x ∗ y ∗ · · · ) ∈ φA since A is a subalgebra. Let x, y, . . . ∈ φ−1 B, i.e., φ(x), φ(y), . . . ∈ B, then φ(x∗y ∗· · · ) = φ(x)∗φ(y)∗· · · ∈ B, hence x∗y ∗· · · ∈ φ−1 B. Finally, if φA ⊆ C (a subalgebra of Y ), then A ⊆ [[A]] ⊆ φ−1 C, so [[φA]] = φ[[A]]. Products: X × Y can be given an algebra structure by defining the opera- tions (x1, y1) ∗ (x2, y2) ∗ . . . := (x1 ∗ x2 ∗ . . . , y1 ∗ y2 ∗ . . .)
  • 3. 2 Morphisms JOSEPH MUSCAT 2013 3 (x1, y1) ∼ (x2, y2) ∼ . . . : ⇔ (x1 ∼ x2 ∼ . . .) and (y1 ∼ y2 ∼ . . .) More generally, XA is an algebra with (f ∗ g ∗ . . .)(a) := f(a) ∗ g(a) ∗ . . . , f ∼ g ∼ . . . : ⇔ f(a) ∼ g(a) ∼ . . . ∀a ∈ A. There is also a coproduct (or free product). Quotients: An equivalence relation on X which is invariant under the op- erations and relations is called a congruence (or stable relation), i.e., x1 ≈ x2, y1 ≈ y2, . . . ⇒ (x1 ∗ y1 ∗ . . .) ≈ (x2 ∗ y2 ∗ . . .) and x1 ∼ y1 ∼ . . . ⇒ x2 ∼ y2 ∼ . . . The operations and relations can then be extended to act on the set X/ ≈ of equivalence classes [x] ∗ [y] ∗ . . . := [x ∗ y ∗ . . .] [x] ∼ [y] ∼ . . . : ⇔ x ∼ y ∼ . . . i.e., the mapping φ : x → [x] is a morphism X → X/ ≈. For example, indistinguishable elements form a congruent relation, that can be factored away. An algebra that has only trivial congruent relations (x ∼ y ⇔ x = y or x ∼ y ⇔ True) is called simple: it has only trivial quotients. The following three theorems apply when the relations satisfy x ∼ y ∼ . . . ⇔ φ(x) ∼ φ(y) ∼ . . .: First isomorphism theorem: For any morphism φ : X → Y , the relation φ(x) = φ(y) is a congruence (called the kernel of φ), such that the associated quotient space (X/≈) ∼= φX. Second isomorphism theorem: If Y is a subalgebra of X, and ≈ is a con- gruence on X, then ≈ is a congruence on Y , and Y/ ≈ is isomorphic to the subalgebra Y ′ ⊆ X/≈, consisting of all the equivalence classes that contain an element of Y . Third isomorphism theorem: If a congruence ≈1 is finer than another ≈2, then ≈1 induces a congruence on X/ ≈2, and X/≈1 ∼= (X/≈2)/≈1 . There are two senses in which a space X is ‘contained’ in a larger space Y : 1. externally, by embedding X in Y , i.e., there is an isomorphism X → B ⊆ Y , denoted X ⊂∼ Y because X is, effectively, a subspace of Y ; 2. internally, by covering X by Y , i.e., there is an onto morphism Y → X, so X ∼= Y/ ker φ; each element of X is refined into several in Y .
  • 4. 3 Compatibility JOSEPH MUSCAT 2013 4 Theorem 2 Every finitely-generated algebra is a quotient of the finitely-generated free algebra. (the same is true if the operations have intrinsic properties, i.e., subalgebras, quotients and products have the same properties) 3 Compatibility An operation is associative when ∗(x, y, . . .) exists for every finite number of terms, such that ∗(. . . , ∗(x, y, . . .), u, . . .) = ∗(. . . , x, y, . . . , u, . . .) For example, x ∗ y ∗ z = (x ∗ y) ∗ z; so the operation reduces to three basic ones 0 := ∗(), ∗(x), ∗(x, y) such that 0 ∗ x = ∗(x), (x ∗ y) ∗ z = x ∗ (y ∗ z). Note that ∗(x) = ∗(y) is a stable equivalence relation (with respect to ∗), with related elements being indistinguishable algebraically; but can assume ∗(x) = x by taking the quotient space and renaming; in this case, 0 ∗ x = x. An operation is distributive over another when ∗(. . . , ◦(x, y, . . .), z, . . .) = ◦(∗(. . . , x, z, . . .), ∗(. . . , y, z, . . .), . . .) For 0-,1-,2-operations, this means (0) 1 2 (0) (0 = 1) (0 = 0∗ ) (0 ∗ x = 0 = x ∗ 0) 1 (1◦ = 1) x∗◦ = x◦∗ (x ∗ y)◦ = x◦ ∗ y = x ∗ y◦ 2 (x + y)∗ = x∗ + y∗ x ∗ z + y ∗ z = (x + y) ∗ z z ∗ x + z ∗ y = z ∗ (x + y) Two operations commute when ∗(◦(x1, y1, . . .), ◦(x2, y2, . . .), . . .) = ◦(∗(x1, x2, . . .), ∗(y1, y2, . . .)) For 1-,2-operations, this means 0 1 2 0 0 = 1 1 x∗◦ = x◦∗ (x + y)∗ = x∗ + y∗ 2 (x1 + y1) ∗ (x2 + y2) = x1 ∗ x2 + y1 ∗ y2
  • 5. 3.1 Examples JOSEPH MUSCAT 2013 5 Commuting 2-operations with identities must actually be the same, and must be commutative x ∗ y = y ∗ x and associative. Proof: The identities are the same: 1 = 11 = (1 + 0)(0 + 1) = 10 + 01 = 0 + 0 = 0. ab = (a + 0)(0 + b) = a0 + 0b = a + b so the operations are the same, and (ab)(cd) = (ac)(bd). Hence ab = (1a)(b1) = (1b)(a1) = ba and a(bc) = (a1)(bc) = (ab)c. In particular if an operation with identity commutes with itself, it must be associative and commutative x ∗ y = y ∗ x. 3.1 Examples 1. The simplest example is a set with a single constant 0, sometimes called the field with one element. 2. A set with a constant and a 1-operation; properties may be 0∗ = 0, x∗∗ = x. 3. A set with a constant, a 1-operation, and a 2-operation: e.g. 0 ∗ x = x, (x ∗ y)∗ = y∗ ∗ x∗ .