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Part of the book series: Operator Theory: Advances and Applications ((LOLS,volume 286))

Abstract

With view to applications, we here give an explicit correspondence between the following two: (i) the set of symmetric and positive measures ρ on one hand, and (ii) a certain family of generalized Markov transition measures P, with their associated Markov random walk models, on the other. By a generalized Markov transition measure we mean a measurable and measure-valued function P on , such that for every x ∈ V, P(x;⋅) is a probability measure on ). Hence, with the use of our correspondence (i)–(ii), we study generalized Markov transitions P and path-space dynamics. Given P, we introduce an associated operator, also denoted by P, and we analyze its spectral theoretic properties with reference to a system of precise L 2 spaces.

Our setting is more general than that of earlier treatments of reversible Markov processes. In a potential theoretic analysis of our processes, we introduce and study an associated energy Hilbert space , not directly linked to the initial L 2-spaces. Its properties are subtle, and our applications include a study of the P-harmonic functions. They may be in , called finite-energy harmonic functions. A second reason for is that it plays a key role in our introduction of a generalized Green function. (The latter stands in relation to our present measure theoretic Laplace operator in a way that parallels more traditional settings of Green functions from classical potential theory.) A third reason for is its use in our analysis of path-space dynamics for generalized Markov transition systems.

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References

  1. S. Bezuglyi, P.E.T. Jorgensen, Graph Laplace and Markov operators on a measure space. ArXiv e-prints (2018)

    Google Scholar 

  2. D. Alpay, P. Jorgensen, I. Lewkowicz, W-Markov measures, transfer operators, wavelets and multiresolutions, in Frames and Harmonic Analysis. Contemporary Mathematics, vol. 706 (American Mathematical Society, Providence, 2018), pp. 293–343

    Google Scholar 

  3. L.W. Baggett, N.S. Larsen, K.D. Merrill, J.A. Packer, I. Raeburn, Generalized multiresolution analyses with given multiplicity functions. J. Fourier Anal. Appl. 15(5), 616–633 (2009)

    Google Scholar 

  4. L.W. Baggett, K.D. Merrill, J.A. Packer, A.B. Ramsay, Probability measures on solenoids corresponding to fractal wavelets. Trans. Am. Math. Soc. 364(5), 2723–2748 (2012)

    Google Scholar 

  5. O. Bratteli, P.E.T. Jorgensen, Convergence of the cascade algorithm at irregular scaling functions, in The Functional and Harmonic Analysis of Wavelets and Frames (San Antonio, TX, 1999). Contemporary Mathematics, vol. 247 (American Mathematical Society, Providence, 1999), pp. 93–130

    Google Scholar 

  6. L. Cioletti, M. Denker, A.O. Lopes, M. Stadlbauer, Spectral properties of the Ruelle operator for product-type potentials on shift spaces. J. Lond. Math. Soc. (2) 95(2), 684–704 (2017)

    Google Scholar 

  7. D.E. Dutkay, P.E.T. Jorgensen, The role of transfer operators and shifts in the study of fractals: encoding-models, analysis and geometry, commutative and non-commutative, in Geometry and Analysis of Fractals. Springer Proceedings of the Mathematical Statistics, vol. 88 (Springer, Heidelberg, 2014), pp. 65–95

    Google Scholar 

  8. Y. Jiang, Y.-L. Ye, Convergence speed of a Ruelle operator associated with a non-uniformly expanding conformal dynamical system and a Dini potential. Discrete Contin. Dyn. Syst. 38(9), 4693–4713 (2018)

    Google Scholar 

  9. P. Jorgensen, F. Tian, Transfer operators, induced probability spaces, and random walk models. Markov Process. Related Fields 23(2), 187–210 (2017)

    Google Scholar 

  10. P.E.T. Jorgensen, Ruelle operators: functions which are harmonic with respect to a transfer operator. Mem. Am. Math. Soc. 152(720), viii+60 (2001)

    Google Scholar 

  11. P.E.T. Jorgensen, S. Pedersen, Dense analytic subspaces in fractal L 2-spaces. J. Anal. Math. 75, 185–228 (1998)

    Google Scholar 

  12. D. Ruelle, The thermodynamic formalism for expanding maps. Commun. Math. Phys. 125(2), 239–262 (1989)

    Google Scholar 

  13. D. Ruelle, Spectral properties of a class of operators associated with conformal maps in two dimensions. Commun. Math. Phys. 144(3), 537–556 (1992)

    Google Scholar 

  14. Á. Backhausz, B. Szegedy, On large-girth regular graphs and random processes on trees. Random Struct. Algoritm. 53(3), 389–416 (2018)

    Google Scholar 

  15. Á. Backhausz, B. Szegedy, On the almost eigenvectors of random regular graphs. Ann. Probab. 47(3), 1677–1725 (2019)

    Google Scholar 

  16. M. Pensky, Dynamic network models and graphon estimation. Ann. Statist. 47(4), 2378–2403 (2019)

    Google Scholar 

  17. R. Lyons, Y. Peres, Probability on trees and networks, in Cambridge Series in Statistical and Probabilistic Mathematics, vol. 42 (Cambridge University, New York, 2016)

    Google Scholar 

  18. E. Nummelin, General irreducible Markov chains and nonnegative operators, in Cambridge Tracts in Mathematics, vol. 83 (Cambridge University, Cambridge, 1984)

    Google Scholar 

  19. D. Revuz, Markov chains, in North-Holland Mathematical Library, vol. 11, 2nd edn. (North-Holland Publishing Co., Amsterdam, 1984)

    Google Scholar 

  20. C.T. Conley, B.D. Miller, A bound on measurable chromatic numbers of locally finite Borel graphs. Math. Res. Lett. 23(6), 1633–1644 (2016)

    Google Scholar 

  21. C.T. Conley, B.D. Miller, Measurable perfect matchings for acyclic locally countable Borel graphs. J. Symb. Log. 82(1), 258–271 (2017)

    Google Scholar 

  22. I.P. Cornfeld, S.V. Fomin, Y.G. Sinaı̆, Ergodic Theory. Grundlehren der Mathematischen Wissenschaften [Fundamental Principles of Mathematical Sciences], vol. 245 (Springer, New York, 1982). Translated from the Russian by A. B. Sosinskiı̆

    Google Scholar 

  23. N.T. Do, P. Kuchment, B. Ong, On resonant spectral gaps in quantum graphs, in Functional Analysis and Operator Theory for Quantum Physics. EMS Series Congress Report (European Mathematical Society, Zürich, 2017), pp. 213–222

    Google Scholar 

  24. J. Feldman, C.C. Moore, Ergodic equivalence relations, cohomology, and von Neumann algebras. I. Trans. Am. Math. Soc. 234(2), 289–324 (1977)

    Google Scholar 

  25. V. Kanovei, Borel equivalence relations, in University Lecture Series, vol. 44 (American Mathematical Society, Providence, RI, 2008). Structure and classification

    Google Scholar 

  26. A.S. Kechris, Classical descriptive set theory, in Graduate Texts in Mathematics, vol. 156 (Springer, New York, 1995)

    Google Scholar 

  27. J. Lehn, Remark on measurable graph theorems. Proc. Am. Math. Soc. 63(1), 46–48 (1977)

    Google Scholar 

  28. S. Gao, Invariant descriptive set theory, in Pure and Applied Mathematics (Boca Raton), vol. 293 (CRC Press, Boca Raton, 2009)

    Google Scholar 

  29. A.S. Kechris, Global aspects of ergodic group actions, in Mathematical Surveys and Monographs, vol. 160 (American Mathematical Society, Providence, RI, 2010)

    Google Scholar 

  30. F. Chersi, An ergodic decomposition of invariant measures for discrete semiflows on standard Borel spaces, in Advanced Topics in the Theory of Dynamical Systems (Trento, 1987). Notes Reports Mathematical Science Engineering, vol. 6, pp. 75–87 (Academic Press, Boston, 1989)

    Google Scholar 

  31. P.A. Loeb, Conversion from nonstandard to standard measure spaces and applications in probability theory. Trans. Am. Math. Soc. 211, 113–122 (1975)

    Google Scholar 

  32. V.A. Rohlin, On the fundamental ideas of measure theory. Mat. Sbornik N.S. 25(67), 107–150 (1949)

    Google Scholar 

  33. D. Simmons, Conditional measures and conditional expectation; Rohlin’s disintegration theorem. Discrete Contin. Dyn. Syst. 32(7), 2565–2582 (2012)

    Google Scholar 

  34. J. Feldman, C.C. Moore, Ergodic equivalence relations, cohomology, and von Neumann algebras. II. Trans. Am. Math. Soc. 234(2), 325–359 (1977)

    Google Scholar 

  35. A.S. Kechris, B.D. Miller, Topics in orbit equivalence, in Lecture Notes in Mathematics, vol. 1852 (Springer, Berlin, 2004)

    Google Scholar 

  36. Z.-Q. Chen, Y.-X. Ren, T. Yang, Law of large numbers for branching symmetric Hunt processes with measure-valued branching rates. J. Theoret. Probab. 30(3), 898–931 (2017)

    Google Scholar 

  37. D.H. Alimorad, J.A. Fakharzadeh, A theoretical measure technique for determining 3D symmetric nearly optimal shapes with a given center of mass. Comput. Math. Math. Phys. 57(7), 1225–1240 (2017)

    Google Scholar 

  38. S. Bezuglyi, P.E.T. Jorgensen, Transfer operators, endomorphisms, and measurable partitions. Lecture Notes in Mathematics, vol. 2217 (Springer, Cham, 2018)

    Google Scholar 

  39. P.E.T. Jorgensen, E.P.J. Pearse, Continuum versus discrete networks, graph Laplacians, and reproducing kernel Hilbert spaces. J. Math. Anal. Appl. 469(2), 765–807 (2019)

    Google Scholar 

  40. B. Landa, Y. Shkolnisky, The steerable graph Laplacian and its application to filtering image datasets. SIAM J. Imaging Sci. 11(4), 2254–2304 (2018)

    Google Scholar 

  41. S. Smale, D.-X. Zhou, Learning theory estimates via integral operators and their approximations. Constr. Approx. 26(2), 153–172 (2007)

    Google Scholar 

  42. S. Smale, D.-X. Zhou, Geometry on probability spaces. Constr. Approx. 30(3), 311–323 (2009)

    Google Scholar 

  43. S. Bezuglyi, P.E.T. Jorgensen, Finite Energy Space, Graph Laplace Operator, and Symmetric Measures

    Google Scholar 

  44. M.F. Chen, From Markov Chains to Nonequilibrium Particle Systems (World Scientific Publishing Co. Inc., River Edge, 1992)

    Google Scholar 

  45. K. Lange, Applied probability, in Springer Texts in Statistics (Springer, New York, 2003)

    Google Scholar 

  46. T. Komorowski, C. Landim, S. Olla, Fluctuations in Markov processes. Grundlehren der Mathematischen Wissenschaften [Fundamental Principles of Mathematical Sciences], vol. 345 (Springer, Heidelberg, 2012). Time symmetry and martingale approximation

    Google Scholar 

  47. Y. Chen, M.-P. Qian, J.-S. Xie, On characterization of reversible Markov processes by monotonicity of the fluctuation spectral density. J. Math. Phys. 47(10), 103301, 9 (2006)

    Google Scholar 

  48. M. Longla, Remarks on limit theorems for reversible Markov processes and their applications. J. Statist. Plann. Inference 187, 28–43 (2017)

    Google Scholar 

  49. M. Peligrad, Asymptotic properties for linear processes of functionals of reversible or normal Markov chains, in High Dimensional Probability VI. Program of Probability, vol. 66 (Birkhäuser/Springer, Basel, 2013), pp. 195–210

    Google Scholar 

  50. J.R. Artalejo, On the transient behavior of the maximum level length in structured Markov chains, in Modern Mathematical Tools and Techniques in Capturing Complexity. Understand Complex System (Springer, Berlin, 2011), pp. 379–390

    Google Scholar 

  51. V.T. Cyr, Transient Markov shifts (ProQuest LLC, Ann Arbor, MI, 2010). Thesis (Ph.D.)–The Pennsylvania State University

    Google Scholar 

  52. D. Korshunov, The key renewal theorem for a transient Markov chain. J. Theoret. Probab. 21(1), 234–245 (2008)

    Google Scholar 

  53. S. Wei, R.J. Kryscio, Semi-Markov models for interval censored transient cognitive states with back transitions and a competing risk. Stat. Methods Med. Res. 25(6), 2909–2924 (2016)

    Google Scholar 

  54. W. Woess, Denumerable Markov chains, in EMS Textbooks in Mathematics (European Mathematical Society (EMS), Zürich, 2009). Generating functions, boundary theory, random walks on trees

    Google Scholar 

  55. M.B. Marcus, J. Rosen, Necessary and sufficient conditions for the continuity of permanental processes associated with transient Lévy processes. Electron. Commun. Probab. 20(57), 6 (2015)

    Google Scholar 

  56. J. Peterson, G. Samorodnitsky, Weak weak quenched limits for the path-valued processes of hitting times and positions of a transient, one-dimensional random walk in a random environment. ALEA Lat. Am. J. Probab. Math. Stat. 9(2), 531–569 (2012)

    Google Scholar 

  57. P. Lherminier, E. Sanchez-Palencia, Remarks and examples on transient processes and attractors in biological evolution, in Proceedings of the 2014 Madrid Conference on Applied Mathematics in Honor of Alfonso Casal. Electronic Journal of Differential Equations Conference, vol. 22 (Texas State University, San Marcos, 2015), pp. 63–77

    Google Scholar 

  58. A.N. Borodin, P. Salminen, Handbook of Brownian Motion—Facts and Formulae. Probability and its Applications, 2nd edn. (Birkhäuser, Basel, 2002)

    Google Scholar 

  59. G.F. Lawler, V. Limic, Random walk: a modern introduction. Cambridge Studies in Advanced Mathematics, vol. 123 (Cambridge University, Cambridge, 2010)

    Google Scholar 

  60. V.N. Kolokoltsov, Markov processes, semigroups and generators, in De Gruyter Studies in Mathematics, vol. 38 (Walter de Gruyter and Co., Berlin, 2011)

    Google Scholar 

  61. A. Beveridge, A hitting time formula for the discrete Green’s function. Combin. Probab. Comput. 25(3), 362–379 (2016)

    Google Scholar 

  62. Z.-Q. Chen, P. Kim, Green function estimate for censored stable processes. Probab. Theory Related Fields 124(4), 595–610 (2002)

    Google Scholar 

  63. I.T. Dimov, T.V. Gurov, Estimates of the computational complexity of iterative Monte Carlo algorithm based on Green’s function approach. Math. Comput. Simulation 47(2–5), 183–199 (1998). IMACS Seminar on Monte Carlo Methods (Brussels, 1997)

    Google Scholar 

  64. A.N. Kolmogorov, Foundations of the Theory of Probability (Chelsea Publishing Company, New York, 1950)

    Google Scholar 

  65. L. Lovász, Large networks and graph limits, in American Mathematical Society Colloquium Publications, vol. 60 (American Mathematical Society, Providence, 2012)

    Google Scholar 

  66. S. Chatterjee, Large deviations for random graphs, in Lecture Notes in Mathematics, vol. 2197 (Springer, Cham, 2017). Lecture notes from the 45th Probability Summer School held in Saint-Flour, June 2015, École d’Été de Probabilités de Saint-Flour. [Saint-Flour Probability Summer School]

    Google Scholar 

  67. S. Janson, Graphons, cut norm and distance, couplings and rearrangements, in New York Journal of Mathematics. NYJM Monographs, vol. 4 (State University of New York, University at Albany, Albany, NY, 2013)

    Google Scholar 

  68. H. Chuangpishit, M. Ghandehari, J. Janssen, Uniform linear embeddings of graphons. European J. Combin. 61, 47–68 (2017)

    Google Scholar 

  69. L. Lovász, B. Szegedy, The automorphism group of a graphon. J. Algebra 421, 136–166 (2015)

    Google Scholar 

  70. A. Shojaei-Fard, Graphons and renormalization of large Feynman diagrams. Opuscula Math. 38(3), 427–455 (2018)

    Google Scholar 

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Acknowledgements

The authors are thankful to colleagues and collaborators, especially the members of the seminars in Mathematical Physics and Operator Theory at the University of Iowa, where versions of this work have been presented. We acknowledge very helpful conversations with among others Professors Paul Muhly, Wayne Polyzou; and conversations at distance with Professors Daniel Alpay, and his colleagues at both Ben Gurion University, and Chapman University. We wish to thank the referee for useful suggestions.

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Bezuglyi, S., Jorgensen, P.E.T. (2021). Symmetric Measures, Continuous Networks, and Dynamics. In: Alpay, D., Peretz, R., Shoikhet, D., Vajiac, M.B. (eds) New Directions in Function Theory: From Complex to Hypercomplex to Non-Commutative. Operator Theory: Advances and Applications(), vol 286. Birkhäuser, Cham. https://doi.org/10.1007/978-3-030-76473-9_6

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