Fractal Geometry and Stochastics V by Christoph Bandt, Kenneth Falconer, Martina Zähle

By Christoph Bandt, Kenneth Falconer, Martina Zähle

This publication collects major contributions from the 5th convention on Fractal Geometry and Stochastics held in Tabarz, Germany, in March 2014. The ebook is split into 5 topical sections: geometric degree conception, self-similar fractals and recurrent buildings, research and algebra on fractals, multifractal idea, and random buildings. every one half begins with a cutting-edge survey through papers overlaying a particular element of the subject. The authors are major global specialists and current their themes comprehensibly and attractively. either newbies and experts within the box will take advantage of this book.

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Am. Math. Soc. 62, 114–192 (1947) 28. H. Federer, Geometric Measure Theory (Springer, Berlin/Heidelberg/New York, 1969). pbk. reprint 1996 29. A. Ferguson, J. Fraser, T. Sahlsten, Scaling scenery of . m; n/ invariant measures. Adv. Math. 268, 564–602 (2015) 30. A. Ferguson, T. Jordan, P. Shmerkin, The Hausdorff dimension of the projections of self-affine carpets. Fund. Math. 209, 193–213 (2010) 31. H. Furstenberg, Ergodic fractal measures and dimension conservation. Ergod. Theory Dyn. Syst. 28, 405–422 (2008) 32.

Fenn. A Math. 1, 387–392 (1975) 52. R. Kenyon, Projecting the one-dimensional Sierpinski gasket. Isr. J. Math. 97, 221–238 (1997) 53. D. Khoshnevisan, Y. Xiao, Packing-dimension profiles and fractional Brownian motion. Math. Proc. Camb. Philos. Soc. 145, 145–213 (2008) 54. F. Ledrappier, E. Lindenstrauss, On the projections of measures invariant under the geodesic flow. IMRN 9, 511–526 (2003) 55. M. Leikas, Packing dimensions, transversal mappings and geodesic flows. Ann. Acad. Sci. Fenn. A Math.

A0 / 2 f0; 1g for P-almost all !. If P! P! / Ä d, and if P! P! / Ä k. f! W P! P! d k/. But this contradicts the choice of ı. Thus the claim holds. 3. 4]. 5 If k 2 f1; : : : ; d 1g, k < s Ä d, and 0 < ˛ Ä 1, then there exists a Radon measure on Rd with dim. d; k; ˛/; for -almost all x 2 Rd . d; k; ˛/ does not depend on the choice of V. d; k/. Since P is a convex combination of two fractal distributions, it is a fractal distribution. 9. 2, we see that is exact-dimensional and dim. P/ D s d kÁ k D s: k s d k dC 1 k The goal is to verify that has the claimed properties.

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