In this work, we study the parity complexity measures and . is the \emph{parity kill number} of , the fewest number of parities on the input variables one has to fix in order to “kill” , i.e. to make it constant. is the depth of the shortest \emph{parity decision tree} which computes . These complexity measures have in recent years become increasingly important in the fields of communication complexity \cite{ZS09, MO09, ZS10, TWXZ13} and pseudorandomness \cite{BK12, Sha11, CT13}. Our main result is a composition theorem for . The -th power of , denoted , is the function which results from composing with itself times. We prove that if is not a parity function, then ${^{\oplus}{\min}}[f^{\circ k}] \geq \Omega({{\min}}[f]^{k}).ff$ (also known as the minimum certificate complexity). As an application of our composition theorem, we show lower bounds on the parity complexity measures of and $^{\circ k}$ is the sort function due to Ambainis \cite{Amb06}, and is Kushilevitz’s hemi-icosahedron function \cite{NW95}. In doing so, we disprove a conjecture of Montanaro and Osborne \cite{MO09} which had applications to communication complexity and computational learning theory. In addition, we give new lower bounds for conjectures of \cite{MO09,ZS10} and \cite{TWXZ13}.

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