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Large Networks and Graph Limits [Kietas viršelis]

  • Formatas: Hardback, 475 pages, weight: 1020 g
  • Serija: Colloquium Publications
  • Išleidimo metai: 30-Jan-2013
  • Leidėjas: American Mathematical Society
  • ISBN-10: 0821890859
  • ISBN-13: 9780821890851
Kitos knygos pagal šią temą:
  • Formatas: Hardback, 475 pages, weight: 1020 g
  • Serija: Colloquium Publications
  • Išleidimo metai: 30-Jan-2013
  • Leidėjas: American Mathematical Society
  • ISBN-10: 0821890859
  • ISBN-13: 9780821890851
Kitos knygos pagal šią temą:
Recently, it became apparent that a large number of the most interesting structures and phenomena of the world can be described by networks. To develop a mathematical theory of very large networks is an important challenge. This book describes one recent approach to this theory, the limit theory of graphs, which has emerged over the last decade. The theory has rich connections with other approaches to the study of large networks, such as ``property testing'' in computer science and regularity partition in graph theory. It has several applications in extremal graph theory, including the exact formulations and partial answers to very general questions, such as which problems in extremal graph theory are decidable. It also has less obvious connections with other parts of mathematics (classical and non-classical, like probability theory, measure theory, tensor algebras, and semidefinite optimization). This book explains many of these connections, first at an informal level to emphasize the need to apply more advanced mathematical methods, and then gives an exact development of the theory of the algebraic theory of graph homomorphisms and of the analytic theory of graph limits. This is an amazing book: readable, deep, and lively. It sets out this emerging area, makes connections between old classical graph theory and graph limits, and charts the course of the future. --Persi Diaconis, Stanford University This book is a comprehensive study of the active topic of graph limits and an updated account of its present status. It is a beautiful volume written by an outstanding mathematician who is also a great expositor. --Noga Alon, Tel Aviv University, Israel Modern combinatorics is by no means an isolated subject in mathematics, but has many rich and interesting connections to almost every area of mathematics and computer science. The research presented in Lovasz's book exemplifies this phenomenon. This book presents a wonderful opportunity for a student in combinatorics to explore other fields of mathematics, or conversely for experts in other areas of mathematics to become acquainted with some aspects of graph theory. --Terence Tao, University of California, Los Angeles, CA Laszlo Lovasz has written an admirable treatise on the exciting new theory of graph limits and graph homomorphisms, an area of great importance in the study of large networks. It is an authoritative, masterful text that reflects Lovasz's position as the main architect of this rapidly developing theory. The book is a must for combinatorialists, network theorists, and theoretical computer scientists alike. --Bela Bollobas, Cambridge University, UK

Recenzijos

Written by an eminent expert as the first monograph on this topic, this book can be recommended to anybody working on large networks and their applications in mathematics, computer science, social sciences, biology, statistical physics or chip design." - Zentralblatt Math

"This is an amazing book: readable, deep, and lively. It sets out this emerging area, makes connections between old classical graph theory and graph limits, and charts the course of the future." - Persi Diaconis, Stanford University

"It is always exciting when a mathematical theory turns out to be connected to a variety of other topics. This is the case with the recently developed subject of graph limits, which exhibits tight relations with a wide range of areas including statistical physics, analysis, algebra, extremal graph theory, and theoretical computer science. The book Large Networks and Graph Limits contains a comprehensive study of this active topic and an updated account of its present status. The author, Laszls Lovasz, initiated the subject, and together with his collaborators has contributed immensely to its development during the last decade. This is a beautiful volume written by an outstanding mathematician who is also an excellent expositor." - Noga Alon, Tel Aviv University, Israel

"Modern combinatorics is by no means an isolated subject in mathematics, but has many rich and interesting connections to almost every area of mathematics and computer science. The research presented in Lovasz's book exemplifies this phenomenon by taking one of the most quintessentially combinatorial of objects--the finite graph--and through the process of taking limits of sequences of such graphs, reveals and clarifies connections to measure theory, analysis, statistical physics, metric geometry, spectral theory, property testing, algebraic geometry, and even Hilbert's tenth and seventeenth problems. Indeed, this book presents a wonderful opportunity for a student in combinatorics to explore other fields of mathematics, or conversely for experts in other areas of mathematics to become acquainted with some aspects of graph theory." - Terence Tao, University of California, Los Angeles, CA

"Lįszló Lovįsz has written an admirable treatise on the exciting new theory of graph limits and graph homomorphisms, an area of great importance in the study of large networks. It is an authoritative, masterful text that reflects Lovįsz's position as the main architect of this rapidly developing theory. The book is a must for combinatorialists, network theorists, and theoretical computer scientists alike." - Bela Bollobas, Cambridge University, UK

Preface xi
Part 1 Large graphs: an informal introduction
1(34)
Chapter 1 Very large networks
3(22)
1.1 Huge networks everywhere
3(1)
1.2 What to ask about them?
4(1)
1.3 How to obtain information about them?
5(3)
1.4 How to model them?
8(3)
1.5 How to approximate them?
11(7)
1.6 How to run algorithms on them?
18(4)
1.7 Bounded degree graphs
22(3)
Chapter 2 Large graphs in mathematics and physics
25(10)
2.1 External graph theory
25(7)
2.2 Statistical physics
32(3)
Part 2 The algebra of graph homomorphisms
35(78)
Chapter 3 Notation and terminology
37(4)
3.1 Basic notation
37(1)
3.2 Graph theory
38(1)
3.3 Operations on graphs
39(2)
Chapter 4 Graph parameters and connection matrices
41(14)
4.1 Graph parameters and graph properties
41(1)
4.2 Connection matrices
42(3)
4.3 Finite connection rank
45(10)
Chapter 5 Graph homomorphisms
55(28)
5.1 Existence of homomorphisms
55(1)
5.2 Homomorphism numbers
56(6)
5.3 What hom functions can express
62(6)
5.4 Homomorphism and isomorphism
68(4)
5.5 Independence of homomorphism functions
72(3)
5.6 Characterizing homomorphism numbers
75(4)
5.7 The structure of the homomorphism set
79(4)
Chapter 6 Graph algebras and homomorphism functions
83(30)
6.1 Algebras of quantum graphs
83(5)
6.2 Reflection positivity
88(6)
6.3 Contractors and connectors
94(7)
6.4 Algebras for homomorphism functions
101(5)
6.5 Computing parameters with finite connection rank
106(2)
6.6 The polynomial method
108(5)
Part 3 Limits of dense graph sequences
113(214)
Chapter 7 Kernels and graphons
115(12)
7.1 Kernels, graphons and stepfunctions
115(1)
7.2 Generalizing homomorphisms
116(5)
7.3 Weak isomorphism I
121(1)
7.4 Sums and products
122(2)
7.5 Kernel operators
124(3)
Chapter 8 The cut distance
127(14)
8.1 The cut distance of graphs
127(4)
8.2 Cut norm and cut distance of kernels
131(7)
8.3 Weak and L1-topologies
138(3)
Chapter 9 Szemeredi partitions
141(16)
9.1 Regularity Lemma for graphs
141(3)
9.2 Regularity Lemma for kernels
144(5)
9.3 Compactness of the graphon space
149(2)
9.4 Fractional and integral overlays
151(3)
9.5 Uniqueness of regularity partitions
154(3)
Chapter 10 Sampling
157(16)
10.1 W-random graphs
157(1)
10.2 Sample concentration
158(2)
10.3 Estimating the distance by sampling
160(4)
10.4 The distance of a sample from the original
164(3)
10.5 Counting Lemma
167(2)
10.6 Inverse Counting Lemma
169(1)
10.7 Weak isomorphism II
170(3)
Chapter 11 Convergence of dense graph sequences
173(28)
11.1 Sampling, homomorphism densities and cut distance
173(1)
11.2 Random graphs as limit objects
174(6)
11.3 The limit graphon
180(5)
11.4 Proving convergence
185(8)
11.5 Many disguises of graph limits
193(1)
11.6 Convergence of spectra
194(2)
11.7 Convergence in norm
196(1)
11.8 First applications
197(4)
Chapter 12 Convergence from the right
201(16)
12.1 Homomorphisms to the right and multicuts
201(4)
12.2 The overlay functional
205(2)
12.3 Right-convergent graphon sequences
207(4)
12.4 Right-convergent graph sequences
211(6)
Chapter 13 On the structure of graphons
217(22)
13.1 The general form of a graphon
217(3)
13.2 Weak isomorphism III
220(2)
13.3 Pure kernels
222(3)
13.4 The topology of a graphon
225(9)
13.5 Symmetries of graphons
234(5)
Chapter 14 The space of graphons
239(24)
14.1 Norms defined by graphs
239(3)
14.2 Other norms on the kernel space
242(5)
14.3 Closures of graph properties
247(3)
14.4 Graphon varieties
250(6)
14.5 Random graphons
256(3)
14.6 Exponential random graph models
259(4)
Chapter 15 Algorithms for large graphs and graphons
263(18)
15.1 Parameter estimation
263(3)
15.2 Distinguishing graph properties
266(2)
15.3 Property testing
268(8)
15.4 Computable structures
276(5)
Chapter 16 Extremal theory of dense graphs
281(36)
16.1 Nonnegativity of quantum graphs and reflection positivity
281(2)
16.2 Variational calculus of graphons
283(2)
16.3 Densities of complete graphs
285(8)
16.4 The classical theory of extremal graphs
293(1)
16.5 Local vs. global optima
294(5)
16.6 Deciding inequalities between subgraph densities
299(8)
16.7 Which graphs are extremal?
307(10)
Chapter 17 Multigraphs and decorated graphs
317(10)
17.1 Compact decorated graphs
318(7)
17.2 Multigraphs with unbounded edge multiplicities
325(2)
Part 4 Limits of bounded degree graphs
327(86)
Chapter 18 Graphings
329(22)
18.1 Borel graphs
329(3)
18.2 Measure preserving graphs
332(6)
18.3 Random rooted graphs
338(6)
18.4 Subgraph densities in graphings
344(2)
18.5 Local equivalence
346(3)
18.6 Graphings and groups
349(2)
Chapter 19 Convergence of bounded degree graphs
351(16)
19.1 Local convergence and limit
351(9)
19.2 Local-global convergence
360(7)
Chapter 20 Right convergence of bounded degree graphs
367(16)
20.1 Random homomorphisms to the right
367(8)
20.2 Convergence from the right
375(8)
Chapter 21 On the structure of graphings
383(14)
21.1 Hyperfiniteness
383(10)
21.2 Homogeneous decomposition
393(4)
Chapter 22 Algorithms for bounded degree graphs
397(16)
22.1 Estimable parameters
397(5)
22.2 Testable properties
402(3)
22.3 Computable structures
405(8)
Part 5 Extensions: a brief survey
413(20)
Chapter 23 Other combinatorial structures
415(18)
23.1 Sparse (but not very sparse) graphs
415(1)
23.2 Edge-coloring models
416(5)
23.3 Hypergraphs
421(4)
23.4 Categories
425(4)
23.5 And more...
429(4)
Appendix A Appendix
433(18)
A.1 Mobius functions
433(1)
A.2 The Tutte polynomial
434(2)
A.3 Some background in probability and measure theory
436(5)
A.4 Moments and the moment problem
441(4)
A.5 Ultraproduct and ultralimit
445(1)
A.6 Vapnik--Chervonenkis dimension
445(1)
A.7 Nonnegative polynomials
446(1)
A.8 Categories
447(4)
Bibliography 451(14)
Author Index 465(4)
Subject Index 469(4)
Notation Index 473
Lįszló Lovįsz, Eötvös Lorįnd University, Budapest, Hungary