£67.31

A Unified Approach to Structural Limits and Limits of Graphs with Bounded Tree-Depth (Memoirs of the American Mathematical Society)

Combinatorics & Graph Theory

Price data last checked 95 day(s) ago - refreshing...

View at Amazon

We'll watch every seller, every day. One email when your price arrives.

Same price for 15 weeks. Today is much like next week.

£67 for 103 days straight · last change was Nov 2025

NEW HERE?

Amazon shows you one price. We show you all of them.

Tosheroon watches Amazon prices so you don't have to. Every product on Amazon has a price history — we make it visible. Set the price you'd actually pay, and we'll email you the second it gets there. No app, no account, one email.

WHAT'S ON THIS PAGE

↓ Price chart
when this has been cheap or pricey

↓ Forecast
where the price is heading next

↓ Statistics
all-time high & low, recent range

↑ Price alert
name your number, we'll email you

Price History & Forecast

Grey patches = out of stock. Cheaper = lower on the chart. Hover for exact prices.

Last 636 days • 636 data points (No recent data available)

Historical

Generating forecast...

Price Distribution

Price distribution over 636 days • 10 price levels

Days at Price

Current Price

Price Analysis

Most common price: £76 (114 days, 17.9%)

Price range: £54 - £82

Price levels: 10 different prices over 636 days

Description

About the Author Jaroslav Nesetril, Charles University, Praha, Czech RepublicPatrice Ossona de Mendez, Centre d'Analyse et de Mathematiques Sociales, Paris, France Product Description In this paper the authors introduce a general framework for the study of limits of relational structures and graphs in particular, which is based on a combination of model theory and (functional) analysis. The authors show how the various approaches to graph limits fit to this framework and that the authors naturally appear as ""tractable cases'' of a general theory. As an outcome of this, the authors provide extensions of known results. The authors believe that this puts these into a broader context. The second part of the paper is devoted to the study of sparse structures. First, the authors consider limits of structures with bounded diameter connected components and prove that in this case the convergence can be ""almost'' studied component-wise. They also propose the structure of limit objects for convergent sequences of sparse structures. Eventually, they consider the specific case of limits of colored rooted trees with bounded height and of graphs with bounded tree-depth, motivated by their role as ""elementary bricks'' these graphs play in decompositions of sparse graphs, and give an explicit construction of a limit object in this case. This limit object is a graph built on a standard probability space with the property that every first-order definable set of tuples is measurable. This is an example of the general concept of modeling the authors introduce here. Their example is also the first ``intermediate class'' with explicitly defined limit structures where the inverse problem has been solved.

Product Specifications

Format: Paperback
ASIN: 1470440652
Category: Books > Subjects > Science, Nature & Maths > Mathematics > Combinatorics & Graph Theory
Domain: Amazon UK
Release Date: 30 January 2020
Listed Since: 18 December 2019

Barcode

No barcode data available

A Unified Approach to Structural Limits and Limits of Graphs with Bounded Tree-Depth (Memoirs of the American Mathematical Society)

Same price for 15 weeks. Today is much like next week.

Price History & Forecast

Price Distribution

Price Analysis

Description

Product Specifications

Barcode

Similar Products You Might Like

Prokhorov and Contemporary Probability Theory: In Honor of Yuri V. Prokhorov: 33 (Springer Proceedings in Mathematics & Statistics, 33)

Limit Distributions for Sums of Independent Random Vectors: Heavy Tails in Theory and Practice: 321 (Wiley Series in Probability and Statistics)

Nonlinear Mathematics for Uncertainty and its Applications: 100 (Advances in Intelligent and Soft Computing, 100)

Synergies of Soft Computing and Statistics for Intelligent Data Analysis: 190 (Advances in Intelligent Systems and Computing, 190)

Nonlinear Mathematics for Uncertainty and its Applications: 100 (Advances in Intelligent and Soft Computing, 100)

Theory of Stochastic Objects: Probability, Stochastic Processes and Inference (Chapman & Hall/CRC Texts in Statistical Science)

Modeling, Stochastic Control, Optimization, and Applications: 164 (The IMA Volumes in Mathematics and its Applications, 164)

Fractional and Multivariable Calculus: Model Building and Optimization Problems: 122 (Springer Optimization and Its Applications, 122)

Probabilistic Inequalities: 7 (Series on Concrete & Applicable Mathematics)

Combining Soft Computing and Statistical Methods in Data Analysis: 77 (Advances in Intelligent and Soft Computing, 77)

Revival: Modern Analysis (1997) (CRC Press Revivals)

Measure and Probability

Limit Theorems in Probability, Statistics and Number Theory: In Honor of Friedrich Götze: 42 (Springer Proceedings in Mathematics & Statistics, 42)

Beyond Pseudo-Rotations in Pseudo-Euclidean Spaces (Mathematical Analysis and its Applications)

Limit Theorems for Multi-Indexed Sums of Random Variables: 71 (Probability Theory and Stochastic Modelling, 71)

Prokhorov and Contemporary Probability Theory: In Honor of Yuri V. Prokhorov: 33 (Springer Proceedings in Mathematics & Statistics, 33)

High Dimensional Probability VIII: The Oaxaca Volume: 74 (Progress in Probability, 74)

Springer Mathematical Methods and Modelling in Applied Sciences

Modern Analysis (1997) (CRC Press Revivals)

Weak Convergence and Empirical Processes: With Applications to Statistics (Springer Series in Statistics)

Asymptotic Behaviour of Linearly Transformed Sums of Random Variables: 416 (Mathematics and Its Applications, 416)

Probability: An Introduction Through Theory and Exercises (Universitext)

Stochastic Analysis and Related Topics: In Honour of Ali Süleyman Üstünel, Paris, June 2010: 22 (Springer Proceedings in Mathematics & Statistics, 22)

EVOLVE - A Bridge between Probability, Set Oriented Numerics, and Evolutionary Computation II: 175 (Advances in Intelligent Systems and Computing, 175)