SlideShare a Scribd company logo
1 of 64
Download to read offline
The Yoneda lemma 
and 
String diagrams 
Ray D. Sameshima 
total 54 pages 
1
Outlines 
Category theory (categories, functors, 
and natural transformations) 
Examples 
String diagrams 
Diagrammatic proof Yoneda lemma 
and more… 
2
References 
Handbook of Categorical Algebra (F. 
Borceux) 
The Joy of String Diagrams (P. L. 
Curien) 
Category theory (P. L. Curien) 
(in progress) Cat (R. D. Sameshima) 
3
Categories 
A Category is like 
a network of 
arrows with 
identities and 
associativity. 
(We ignore the size 
problem now!) 
4
Functors 
A functor is a 
structure preserving 
mapping between 
categories 
(homomorphisms of 
categories). 
5
Natural 
transformations 
A homotopy of categories. 
6
Natural 
transformations 
A natural transformation consists of a 
class (family, set, or collection) of 
arrows. 
7 
s.t.
Natural 
transformations 
A natural transformation consists of a 
class (family, set, or collection) of 
arrows. 
7 
s.t.
Natural 
transformations 
We call this commutativity the naturality 
of the natural transformations. 
8
Natural 
transformations 
We call this commutativity the naturality 
of the natural transformations. 
8
Outlines 
Category theory (categories, functors, 
and natural transformations) 
Examples 
String diagrams 
Diagrammatic proof Yoneda lemma 
and more… 
9
Outlines 
Category theory (categories, functors, 
and natural transformations) 
Examples 
String diagrams 
Diagrammatic proof Yoneda lemma 
and more… 
9 
✔
Examples 
0 
1 
A category of sets and mappings 
A class change method 
Representable functors 
Natural transformations 
10
An empty category 
The empty category: No object and no arrow. 
11
A singleton 
category 
Discrete categories: 
objects with 
identities. 
E.g., the singleton 
(one-point set) can 
be seen as a 
discrete category 1. 
12
Set 
The mappings 
satisfy the 
associativity law. 
! 
The identities are 
identity mappings. 
13 
f : A ! B; a7! f(a) 
g : B ! C; b7! g(b) 
h : C ! D; c7! h(c) 
h  (g  f)(a) = h(g(f(a))) = (h  g)  f(a) 
1A : A ! A; a7! a
A class change 
method 
A class change 
method: we can 
always view an 
arbitrary arrow as 
a natural 
transformation. 
14 
8f 2 C(A,B) 
) 9 ¯ f 2 Nat( ¯ A, ¯B 
) 
where ¯ A, ¯B 
2 Func(1,C)
Func(1,C) 
This is just pointing mappings of 
both objects and arrows in the 
category that we consider. 
¯ C 2 Func(1,C) 
¯ C(⇤) := C 2 |C| 
¯ C(1⇤) := 1C 
So we can identify all objects as functors 
from 1 to the category. 
15
Nat(A,B 2 Func(1,C)) 
Under the 
identifications, the 
arrow in the 
category can be 
seen as the natural 
transformation 
between the objects. 
16 
8f 2 C(A,B) 
¯ f 2 Nat(A,B) : ⇤7! ¯ f⇤ := f 
This is, I call, a class change method.
Representable 
functors 
The functor 
represented by 
the object C. 
17 
C(C,−) 2 Func(C, Set)
C(C,−) 2 Func(C, Set) 
Now we ignore the size problems but… 
18
↵ 2 Nat(C(C,−), F) 
By definition 
19 
8B,C 2 |C| 
↵C # C(A, g) = Fg # ↵B 
8f 2 C(A,B) 
↵C # C(A, g)(f) = Fg # ↵B(f)
Let me see 
Now we get all gadgets for the 
Yoneda lemma. 
20
Yoneda lemma 
A milestone of category theory. 
21
Yoneda lemma 
A milestone of category theory. 
21
An equation based 
proof 
Basically, I traces 
the proof in this 
handbook -. 
See my notes. 
22
So many commutative 
diagrams 
Diagram chasing 
are routine tasks in 
the category theory. 
23
Outlines 
Category theory (categories, functors, 
and natural transformations) 
Examples 
String diagrams 
Diagrammatic proof Yoneda lemma 
and more… 
24 
✔
Outlines 
Category theory (categories, functors, 
and natural transformations) 
Examples 
String diagrams 
Diagrammatic proof Yoneda lemma 
and more… 
24 
✔ 
✔
String diagrams 
Flipping the diagrams! 
25
String diagrams 
Two categories, two 
functors(objects), 
and a n.t. (an 
arrow.) 
26 
A 
f! 
B
Point it 
8f 2 C(A,B) 
¯ f 2 Nat(A,B) : ⇤7! ¯ f⇤ := f 
From above we can 
see… 
f : ⇤ ! C(A,B) = C(A,−)B 
27
Compositions 
These are good examples of vertical 
compositions. 
28
Compositions 
These are good examples of horizontal 
compositions. 
29
Basically, that’s all. 
30
No Standard 
Committees 
… Enjoy! 
Category Theory Using String Diagrams 
31 
(Dan Marsden)
Outlines 
Category theory (categories, functors, 
and natural transformations) 
Examples 
String diagrams 
Diagrammatic proof Yoneda lemma 
and more… 
32 
✔ 
✔
Outlines 
Category theory (categories, functors, 
and natural transformations) 
Examples 
String diagrams 
Diagrammatic proof Yoneda lemma 
and more… 
32 
✔ 
✔ 
✔
Diagrammatic 
proof 
The basic gadget is 
the elevator rule. 
33
Yoneda lemma 
A milestone of category theory. 
34
Yoneda lemma 
A milestone of category theory. 
34
Choose wisely 
✓F,A(↵) := ↵A(1A) 
35
Flip it 
⌧ (a)(f) := Ff(a) 
⌧ = xy.Fy(x); a7! y.Fy(a); f7! Ff(a) 
36
Naturality 
of tau 
The Adventure of the 
Dancing Men 
37
38
Step by step 
39
F is a 
functor 
40
by def. of 
tau 
41
a composition 
and the def. 
of tau for gf 
42
tricky part 
43
a 
representable 
functor 
44
45
We have 
proved the 
naturality of 
tau: 
46 
⌧ (a) 2 Nat (A(A,−), F)
The right 
inverse 
47 
✓F,A  ⌧
48
The left 
inverse 
49 
⌧  ✓F,A
50
Finally, we have 
proved that theta and 
tau are the inverse 
pair. 
51 
✓F,A  ⌧ = 1FA 
⌧  ✓F,A = 1Nat(A(A,),F )
String diagrams are fun! 
52
Outlines 
Category theory (categories, functors, 
and natural transformations) 
Examples 
String diagrams 
Diagrammatic proof Yoneda lemma 
and more… 
53 
✔ 
✔ 
✔
Outlines 
Category theory (categories, functors, 
and natural transformations) 
Examples 
String diagrams 
Diagrammatic proof Yoneda lemma 
and more… 
53 
✔ 
✔ 
✔ 
✔
Thank you! 
54
55
Godement products 
and elevator rules 
Commutativity and elevator rules 
56

More Related Content

What's hot

Classes in c++ (OOP Presentation)
Classes in c++ (OOP Presentation)Classes in c++ (OOP Presentation)
Classes in c++ (OOP Presentation)Majid Saeed
 
Artificial Intelligence_ Knowledge Representation
Artificial Intelligence_ Knowledge RepresentationArtificial Intelligence_ Knowledge Representation
Artificial Intelligence_ Knowledge RepresentationThenmozhiK5
 
Intermediate code generation (Compiler Design)
Intermediate code generation (Compiler Design)   Intermediate code generation (Compiler Design)
Intermediate code generation (Compiler Design) Tasif Tanzim
 
Knowledge Representation, Inference and Reasoning
Knowledge Representation, Inference and ReasoningKnowledge Representation, Inference and Reasoning
Knowledge Representation, Inference and ReasoningSagacious IT Solution
 
Long Short Term Memory
Long Short Term MemoryLong Short Term Memory
Long Short Term MemoryYan Xu
 
Knowledge representation and reasoning
Knowledge representation and reasoningKnowledge representation and reasoning
Knowledge representation and reasoningMaryam Maleki
 
Knowledge Representation & Reasoning
Knowledge Representation & ReasoningKnowledge Representation & Reasoning
Knowledge Representation & ReasoningSajid Marwat
 
Artificial Intelligence (AI) | Prepositional logic (PL)and first order predic...
Artificial Intelligence (AI) | Prepositional logic (PL)and first order predic...Artificial Intelligence (AI) | Prepositional logic (PL)and first order predic...
Artificial Intelligence (AI) | Prepositional logic (PL)and first order predic...Ashish Duggal
 
Decision tree induction \ Decision Tree Algorithm with Example| Data science
Decision tree induction \ Decision Tree Algorithm with Example| Data scienceDecision tree induction \ Decision Tree Algorithm with Example| Data science
Decision tree induction \ Decision Tree Algorithm with Example| Data scienceMaryamRehman6
 
Asymptotic analysis
Asymptotic analysisAsymptotic analysis
Asymptotic analysisSoujanya V
 
Birch Algorithm With Solved Example
Birch Algorithm With Solved ExampleBirch Algorithm With Solved Example
Birch Algorithm With Solved Examplekailash shaw
 
weak slot and filler structure
weak slot and filler structureweak slot and filler structure
weak slot and filler structureAmey Kerkar
 

What's hot (20)

Classes in c++ (OOP Presentation)
Classes in c++ (OOP Presentation)Classes in c++ (OOP Presentation)
Classes in c++ (OOP Presentation)
 
Artificial Intelligence_ Knowledge Representation
Artificial Intelligence_ Knowledge RepresentationArtificial Intelligence_ Knowledge Representation
Artificial Intelligence_ Knowledge Representation
 
Intermediate code generation (Compiler Design)
Intermediate code generation (Compiler Design)   Intermediate code generation (Compiler Design)
Intermediate code generation (Compiler Design)
 
LISP: Introduction to lisp
LISP: Introduction to lispLISP: Introduction to lisp
LISP: Introduction to lisp
 
Ch2 Liang
Ch2 LiangCh2 Liang
Ch2 Liang
 
LSTM Tutorial
LSTM TutorialLSTM Tutorial
LSTM Tutorial
 
Knowledge Representation, Inference and Reasoning
Knowledge Representation, Inference and ReasoningKnowledge Representation, Inference and Reasoning
Knowledge Representation, Inference and Reasoning
 
Long Short Term Memory
Long Short Term MemoryLong Short Term Memory
Long Short Term Memory
 
Knowledge representation and reasoning
Knowledge representation and reasoningKnowledge representation and reasoning
Knowledge representation and reasoning
 
Knowledge Representation & Reasoning
Knowledge Representation & ReasoningKnowledge Representation & Reasoning
Knowledge Representation & Reasoning
 
Artificial Intelligence (AI) | Prepositional logic (PL)and first order predic...
Artificial Intelligence (AI) | Prepositional logic (PL)and first order predic...Artificial Intelligence (AI) | Prepositional logic (PL)and first order predic...
Artificial Intelligence (AI) | Prepositional logic (PL)and first order predic...
 
Backpatching1
Backpatching1Backpatching1
Backpatching1
 
Decision tree induction \ Decision Tree Algorithm with Example| Data science
Decision tree induction \ Decision Tree Algorithm with Example| Data scienceDecision tree induction \ Decision Tree Algorithm with Example| Data science
Decision tree induction \ Decision Tree Algorithm with Example| Data science
 
Apriori Algorithm
Apriori AlgorithmApriori Algorithm
Apriori Algorithm
 
Asymptotic analysis
Asymptotic analysisAsymptotic analysis
Asymptotic analysis
 
Crisp set
Crisp setCrisp set
Crisp set
 
Ontology engineering
Ontology engineering Ontology engineering
Ontology engineering
 
Birch Algorithm With Solved Example
Birch Algorithm With Solved ExampleBirch Algorithm With Solved Example
Birch Algorithm With Solved Example
 
FUZZY COMPLEMENT
FUZZY COMPLEMENTFUZZY COMPLEMENT
FUZZY COMPLEMENT
 
weak slot and filler structure
weak slot and filler structureweak slot and filler structure
weak slot and filler structure
 

Similar to The Yoneda lemma and String diagrams

Category Theory made easy with (ugly) pictures
Category Theory made easy with (ugly) picturesCategory Theory made easy with (ugly) pictures
Category Theory made easy with (ugly) picturesAshwin Rao
 
Yoneda lemma and string diagrams
Yoneda lemma and string diagramsYoneda lemma and string diagrams
Yoneda lemma and string diagramsRay Sameshima
 
Algebras for programming languages
Algebras for programming languagesAlgebras for programming languages
Algebras for programming languagesYoshihiro Mizoguchi
 
[SEMINAR] 2nd Tues, 14 May, 2019
[SEMINAR] 2nd Tues, 14 May, 2019[SEMINAR] 2nd Tues, 14 May, 2019
[SEMINAR] 2nd Tues, 14 May, 2019Naoto Agawa
 
Functions for Grade 10
Functions for Grade 10Functions for Grade 10
Functions for Grade 10Boipelo Radebe
 
CBSE Class 12 Mathematics formulas
CBSE Class 12 Mathematics formulasCBSE Class 12 Mathematics formulas
CBSE Class 12 Mathematics formulasParth Kshirsagar
 
Your data structures are made of maths!
Your data structures are made of maths!Your data structures are made of maths!
Your data structures are made of maths!kenbot
 
Introduction to Real Analysis 4th Edition Bartle Solutions Manual
Introduction to Real Analysis 4th Edition Bartle Solutions ManualIntroduction to Real Analysis 4th Edition Bartle Solutions Manual
Introduction to Real Analysis 4th Edition Bartle Solutions ManualDawsonVeronica
 
Seismic data processing lecture 3
Seismic data processing lecture 3Seismic data processing lecture 3
Seismic data processing lecture 3Amin khalil
 
Formal methods 8 - category theory (last one)
Formal methods   8 - category theory (last one)Formal methods   8 - category theory (last one)
Formal methods 8 - category theory (last one)Vlad Patryshev
 
Lesson 2: A Catalog of Essential Functions (slides)
Lesson 2: A Catalog of Essential Functions (slides)Lesson 2: A Catalog of Essential Functions (slides)
Lesson 2: A Catalog of Essential Functions (slides)Matthew Leingang
 
Lesson 2: A Catalog of Essential Functions (slides)
Lesson 2: A Catalog of Essential Functions (slides)Lesson 2: A Catalog of Essential Functions (slides)
Lesson 2: A Catalog of Essential Functions (slides)Mel Anthony Pepito
 
Discrete mathematics presentation
Discrete mathematics presentationDiscrete mathematics presentation
Discrete mathematics presentationMdZiad
 
Chpt 2-functions-seqs v.5
Chpt 2-functions-seqs v.5Chpt 2-functions-seqs v.5
Chpt 2-functions-seqs v.5ShahidAkbar22
 
R. Bartle, D. Sherbert - Instructors Manual - Introduction to Real Analysis-J...
R. Bartle, D. Sherbert - Instructors Manual - Introduction to Real Analysis-J...R. Bartle, D. Sherbert - Instructors Manual - Introduction to Real Analysis-J...
R. Bartle, D. Sherbert - Instructors Manual - Introduction to Real Analysis-J...ArnavBishnoi2
 
R. Bartle, D. Sherbert - Instructors Manual - Introduction to Real Analysis-J...
R. Bartle, D. Sherbert - Instructors Manual - Introduction to Real Analysis-J...R. Bartle, D. Sherbert - Instructors Manual - Introduction to Real Analysis-J...
R. Bartle, D. Sherbert - Instructors Manual - Introduction to Real Analysis-J...ArnavBishnoi2
 
R. Bartle, D. Sherbert - Instructors Manual - Introduction to Real Analysis-J...
R. Bartle, D. Sherbert - Instructors Manual - Introduction to Real Analysis-J...R. Bartle, D. Sherbert - Instructors Manual - Introduction to Real Analysis-J...
R. Bartle, D. Sherbert - Instructors Manual - Introduction to Real Analysis-J...ArnavBishnoi2
 
Functionsandpigeonholeprinciple
FunctionsandpigeonholeprincipleFunctionsandpigeonholeprinciple
FunctionsandpigeonholeprincipleShiwani Gupta
 

Similar to The Yoneda lemma and String diagrams (20)

Category Theory made easy with (ugly) pictures
Category Theory made easy with (ugly) picturesCategory Theory made easy with (ugly) pictures
Category Theory made easy with (ugly) pictures
 
Yoneda lemma and string diagrams
Yoneda lemma and string diagramsYoneda lemma and string diagrams
Yoneda lemma and string diagrams
 
g-lecture.pptx
g-lecture.pptxg-lecture.pptx
g-lecture.pptx
 
Algebras for programming languages
Algebras for programming languagesAlgebras for programming languages
Algebras for programming languages
 
[SEMINAR] 2nd Tues, 14 May, 2019
[SEMINAR] 2nd Tues, 14 May, 2019[SEMINAR] 2nd Tues, 14 May, 2019
[SEMINAR] 2nd Tues, 14 May, 2019
 
Functions for Grade 10
Functions for Grade 10Functions for Grade 10
Functions for Grade 10
 
CBSE Class 12 Mathematics formulas
CBSE Class 12 Mathematics formulasCBSE Class 12 Mathematics formulas
CBSE Class 12 Mathematics formulas
 
Your data structures are made of maths!
Your data structures are made of maths!Your data structures are made of maths!
Your data structures are made of maths!
 
Introduction to Real Analysis 4th Edition Bartle Solutions Manual
Introduction to Real Analysis 4th Edition Bartle Solutions ManualIntroduction to Real Analysis 4th Edition Bartle Solutions Manual
Introduction to Real Analysis 4th Edition Bartle Solutions Manual
 
Seismic data processing lecture 3
Seismic data processing lecture 3Seismic data processing lecture 3
Seismic data processing lecture 3
 
Formal methods 8 - category theory (last one)
Formal methods   8 - category theory (last one)Formal methods   8 - category theory (last one)
Formal methods 8 - category theory (last one)
 
Lesson 2: A Catalog of Essential Functions (slides)
Lesson 2: A Catalog of Essential Functions (slides)Lesson 2: A Catalog of Essential Functions (slides)
Lesson 2: A Catalog of Essential Functions (slides)
 
Lesson 2: A Catalog of Essential Functions (slides)
Lesson 2: A Catalog of Essential Functions (slides)Lesson 2: A Catalog of Essential Functions (slides)
Lesson 2: A Catalog of Essential Functions (slides)
 
Discrete mathematics presentation
Discrete mathematics presentationDiscrete mathematics presentation
Discrete mathematics presentation
 
Chpt 2-functions-seqs v.5
Chpt 2-functions-seqs v.5Chpt 2-functions-seqs v.5
Chpt 2-functions-seqs v.5
 
Lesson 1: Functions
Lesson 1: FunctionsLesson 1: Functions
Lesson 1: Functions
 
R. Bartle, D. Sherbert - Instructors Manual - Introduction to Real Analysis-J...
R. Bartle, D. Sherbert - Instructors Manual - Introduction to Real Analysis-J...R. Bartle, D. Sherbert - Instructors Manual - Introduction to Real Analysis-J...
R. Bartle, D. Sherbert - Instructors Manual - Introduction to Real Analysis-J...
 
R. Bartle, D. Sherbert - Instructors Manual - Introduction to Real Analysis-J...
R. Bartle, D. Sherbert - Instructors Manual - Introduction to Real Analysis-J...R. Bartle, D. Sherbert - Instructors Manual - Introduction to Real Analysis-J...
R. Bartle, D. Sherbert - Instructors Manual - Introduction to Real Analysis-J...
 
R. Bartle, D. Sherbert - Instructors Manual - Introduction to Real Analysis-J...
R. Bartle, D. Sherbert - Instructors Manual - Introduction to Real Analysis-J...R. Bartle, D. Sherbert - Instructors Manual - Introduction to Real Analysis-J...
R. Bartle, D. Sherbert - Instructors Manual - Introduction to Real Analysis-J...
 
Functionsandpigeonholeprinciple
FunctionsandpigeonholeprincipleFunctionsandpigeonholeprinciple
Functionsandpigeonholeprinciple
 

Recently uploaded

Traditional Agroforestry System in India- Shifting Cultivation, Taungya, Home...
Traditional Agroforestry System in India- Shifting Cultivation, Taungya, Home...Traditional Agroforestry System in India- Shifting Cultivation, Taungya, Home...
Traditional Agroforestry System in India- Shifting Cultivation, Taungya, Home...jana861314
 
Nanoparticles synthesis and characterization​ ​
Nanoparticles synthesis and characterization​  ​Nanoparticles synthesis and characterization​  ​
Nanoparticles synthesis and characterization​ ​kaibalyasahoo82800
 
Zoology 4th semester series (krishna).pdf
Zoology 4th semester series (krishna).pdfZoology 4th semester series (krishna).pdf
Zoology 4th semester series (krishna).pdfSumit Kumar yadav
 
Discovery of an Accretion Streamer and a Slow Wide-angle Outflow around FUOri...
Discovery of an Accretion Streamer and a Slow Wide-angle Outflow around FUOri...Discovery of an Accretion Streamer and a Slow Wide-angle Outflow around FUOri...
Discovery of an Accretion Streamer and a Slow Wide-angle Outflow around FUOri...Sérgio Sacani
 
Pests of cotton_Borer_Pests_Binomics_Dr.UPR.pdf
Pests of cotton_Borer_Pests_Binomics_Dr.UPR.pdfPests of cotton_Borer_Pests_Binomics_Dr.UPR.pdf
Pests of cotton_Borer_Pests_Binomics_Dr.UPR.pdfPirithiRaju
 
Hire 💕 9907093804 Hooghly Call Girls Service Call Girls Agency
Hire 💕 9907093804 Hooghly Call Girls Service Call Girls AgencyHire 💕 9907093804 Hooghly Call Girls Service Call Girls Agency
Hire 💕 9907093804 Hooghly Call Girls Service Call Girls AgencySheetal Arora
 
Pests of cotton_Sucking_Pests_Dr.UPR.pdf
Pests of cotton_Sucking_Pests_Dr.UPR.pdfPests of cotton_Sucking_Pests_Dr.UPR.pdf
Pests of cotton_Sucking_Pests_Dr.UPR.pdfPirithiRaju
 
Recombinant DNA technology (Immunological screening)
Recombinant DNA technology (Immunological screening)Recombinant DNA technology (Immunological screening)
Recombinant DNA technology (Immunological screening)PraveenaKalaiselvan1
 
DIFFERENCE IN BACK CROSS AND TEST CROSS
DIFFERENCE IN  BACK CROSS AND TEST CROSSDIFFERENCE IN  BACK CROSS AND TEST CROSS
DIFFERENCE IN BACK CROSS AND TEST CROSSLeenakshiTyagi
 
GFP in rDNA Technology (Biotechnology).pptx
GFP in rDNA Technology (Biotechnology).pptxGFP in rDNA Technology (Biotechnology).pptx
GFP in rDNA Technology (Biotechnology).pptxAleenaTreesaSaji
 
VIRUSES structure and classification ppt by Dr.Prince C P
VIRUSES structure and classification ppt by Dr.Prince C PVIRUSES structure and classification ppt by Dr.Prince C P
VIRUSES structure and classification ppt by Dr.Prince C PPRINCE C P
 
Isotopic evidence of long-lived volcanism on Io
Isotopic evidence of long-lived volcanism on IoIsotopic evidence of long-lived volcanism on Io
Isotopic evidence of long-lived volcanism on IoSérgio Sacani
 
Natural Polymer Based Nanomaterials
Natural Polymer Based NanomaterialsNatural Polymer Based Nanomaterials
Natural Polymer Based NanomaterialsAArockiyaNisha
 
9654467111 Call Girls In Raj Nagar Delhi Short 1500 Night 6000
9654467111 Call Girls In Raj Nagar Delhi Short 1500 Night 60009654467111 Call Girls In Raj Nagar Delhi Short 1500 Night 6000
9654467111 Call Girls In Raj Nagar Delhi Short 1500 Night 6000Sapana Sha
 
Chemistry 4th semester series (krishna).pdf
Chemistry 4th semester series (krishna).pdfChemistry 4th semester series (krishna).pdf
Chemistry 4th semester series (krishna).pdfSumit Kumar yadav
 
GBSN - Microbiology (Unit 2)
GBSN - Microbiology (Unit 2)GBSN - Microbiology (Unit 2)
GBSN - Microbiology (Unit 2)Areesha Ahmad
 
Biopesticide (2).pptx .This slides helps to know the different types of biop...
Biopesticide (2).pptx  .This slides helps to know the different types of biop...Biopesticide (2).pptx  .This slides helps to know the different types of biop...
Biopesticide (2).pptx .This slides helps to know the different types of biop...RohitNehra6
 
SOLUBLE PATTERN RECOGNITION RECEPTORS.pptx
SOLUBLE PATTERN RECOGNITION RECEPTORS.pptxSOLUBLE PATTERN RECOGNITION RECEPTORS.pptx
SOLUBLE PATTERN RECOGNITION RECEPTORS.pptxkessiyaTpeter
 
Botany 4th semester series (krishna).pdf
Botany 4th semester series (krishna).pdfBotany 4th semester series (krishna).pdf
Botany 4th semester series (krishna).pdfSumit Kumar yadav
 
Formation of low mass protostars and their circumstellar disks
Formation of low mass protostars and their circumstellar disksFormation of low mass protostars and their circumstellar disks
Formation of low mass protostars and their circumstellar disksSérgio Sacani
 

Recently uploaded (20)

Traditional Agroforestry System in India- Shifting Cultivation, Taungya, Home...
Traditional Agroforestry System in India- Shifting Cultivation, Taungya, Home...Traditional Agroforestry System in India- Shifting Cultivation, Taungya, Home...
Traditional Agroforestry System in India- Shifting Cultivation, Taungya, Home...
 
Nanoparticles synthesis and characterization​ ​
Nanoparticles synthesis and characterization​  ​Nanoparticles synthesis and characterization​  ​
Nanoparticles synthesis and characterization​ ​
 
Zoology 4th semester series (krishna).pdf
Zoology 4th semester series (krishna).pdfZoology 4th semester series (krishna).pdf
Zoology 4th semester series (krishna).pdf
 
Discovery of an Accretion Streamer and a Slow Wide-angle Outflow around FUOri...
Discovery of an Accretion Streamer and a Slow Wide-angle Outflow around FUOri...Discovery of an Accretion Streamer and a Slow Wide-angle Outflow around FUOri...
Discovery of an Accretion Streamer and a Slow Wide-angle Outflow around FUOri...
 
Pests of cotton_Borer_Pests_Binomics_Dr.UPR.pdf
Pests of cotton_Borer_Pests_Binomics_Dr.UPR.pdfPests of cotton_Borer_Pests_Binomics_Dr.UPR.pdf
Pests of cotton_Borer_Pests_Binomics_Dr.UPR.pdf
 
Hire 💕 9907093804 Hooghly Call Girls Service Call Girls Agency
Hire 💕 9907093804 Hooghly Call Girls Service Call Girls AgencyHire 💕 9907093804 Hooghly Call Girls Service Call Girls Agency
Hire 💕 9907093804 Hooghly Call Girls Service Call Girls Agency
 
Pests of cotton_Sucking_Pests_Dr.UPR.pdf
Pests of cotton_Sucking_Pests_Dr.UPR.pdfPests of cotton_Sucking_Pests_Dr.UPR.pdf
Pests of cotton_Sucking_Pests_Dr.UPR.pdf
 
Recombinant DNA technology (Immunological screening)
Recombinant DNA technology (Immunological screening)Recombinant DNA technology (Immunological screening)
Recombinant DNA technology (Immunological screening)
 
DIFFERENCE IN BACK CROSS AND TEST CROSS
DIFFERENCE IN  BACK CROSS AND TEST CROSSDIFFERENCE IN  BACK CROSS AND TEST CROSS
DIFFERENCE IN BACK CROSS AND TEST CROSS
 
GFP in rDNA Technology (Biotechnology).pptx
GFP in rDNA Technology (Biotechnology).pptxGFP in rDNA Technology (Biotechnology).pptx
GFP in rDNA Technology (Biotechnology).pptx
 
VIRUSES structure and classification ppt by Dr.Prince C P
VIRUSES structure and classification ppt by Dr.Prince C PVIRUSES structure and classification ppt by Dr.Prince C P
VIRUSES structure and classification ppt by Dr.Prince C P
 
Isotopic evidence of long-lived volcanism on Io
Isotopic evidence of long-lived volcanism on IoIsotopic evidence of long-lived volcanism on Io
Isotopic evidence of long-lived volcanism on Io
 
Natural Polymer Based Nanomaterials
Natural Polymer Based NanomaterialsNatural Polymer Based Nanomaterials
Natural Polymer Based Nanomaterials
 
9654467111 Call Girls In Raj Nagar Delhi Short 1500 Night 6000
9654467111 Call Girls In Raj Nagar Delhi Short 1500 Night 60009654467111 Call Girls In Raj Nagar Delhi Short 1500 Night 6000
9654467111 Call Girls In Raj Nagar Delhi Short 1500 Night 6000
 
Chemistry 4th semester series (krishna).pdf
Chemistry 4th semester series (krishna).pdfChemistry 4th semester series (krishna).pdf
Chemistry 4th semester series (krishna).pdf
 
GBSN - Microbiology (Unit 2)
GBSN - Microbiology (Unit 2)GBSN - Microbiology (Unit 2)
GBSN - Microbiology (Unit 2)
 
Biopesticide (2).pptx .This slides helps to know the different types of biop...
Biopesticide (2).pptx  .This slides helps to know the different types of biop...Biopesticide (2).pptx  .This slides helps to know the different types of biop...
Biopesticide (2).pptx .This slides helps to know the different types of biop...
 
SOLUBLE PATTERN RECOGNITION RECEPTORS.pptx
SOLUBLE PATTERN RECOGNITION RECEPTORS.pptxSOLUBLE PATTERN RECOGNITION RECEPTORS.pptx
SOLUBLE PATTERN RECOGNITION RECEPTORS.pptx
 
Botany 4th semester series (krishna).pdf
Botany 4th semester series (krishna).pdfBotany 4th semester series (krishna).pdf
Botany 4th semester series (krishna).pdf
 
Formation of low mass protostars and their circumstellar disks
Formation of low mass protostars and their circumstellar disksFormation of low mass protostars and their circumstellar disks
Formation of low mass protostars and their circumstellar disks
 

The Yoneda lemma and String diagrams