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We analyze certain parametrized families of one-dimensional maps with infinitely many critical points from the measure-theoretical point of view. We prove that such families have absolutely continuous invariant probability measures for a positive Lebesgue measure subset of parameters. Moreover, we show that both the density of such a measure and its entropy vary continuously with the parameter. In addition, we obtain exponential rate of mixing for these measures and also show that they satisfy the Central Limit Theorem.
Vítor Araújo, and Maria José Pacifico. "Physical measures for infinite-modal maps." Fundamenta Mathematicae 203.3 (2009): 211-262. <http://eudml.org/doc/282984>.
@article{VítorAraújo2009, abstract = {We analyze certain parametrized families of one-dimensional maps with infinitely many critical points from the measure-theoretical point of view. We prove that such families have absolutely continuous invariant probability measures for a positive Lebesgue measure subset of parameters. Moreover, we show that both the density of such a measure and its entropy vary continuously with the parameter. In addition, we obtain exponential rate of mixing for these measures and also show that they satisfy the Central Limit Theorem.}, author = {Vítor Araújo, Maria José Pacifico}, journal = {Fundamenta Mathematicae}, keywords = {SRB measures; absolutely continuous invariant measures; infinite-modal maps; statistical stability; exponential decay of correlations; central limit theorem; continuous variation of entropy}, language = {eng}, number = {3}, pages = {211-262}, title = {Physical measures for infinite-modal maps}, url = {http://eudml.org/doc/282984}, volume = {203}, year = {2009}, }
TY - JOUR AU - Vítor Araújo AU - Maria José Pacifico TI - Physical measures for infinite-modal maps JO - Fundamenta Mathematicae PY - 2009 VL - 203 IS - 3 SP - 211 EP - 262 AB - We analyze certain parametrized families of one-dimensional maps with infinitely many critical points from the measure-theoretical point of view. We prove that such families have absolutely continuous invariant probability measures for a positive Lebesgue measure subset of parameters. Moreover, we show that both the density of such a measure and its entropy vary continuously with the parameter. In addition, we obtain exponential rate of mixing for these measures and also show that they satisfy the Central Limit Theorem. LA - eng KW - SRB measures; absolutely continuous invariant measures; infinite-modal maps; statistical stability; exponential decay of correlations; central limit theorem; continuous variation of entropy UR - http://eudml.org/doc/282984 ER -