• Fibonacci and Lucas analogues of binomial coefficients and what they count (Curtis Bennett, CSULB)

    Millikan 2099, Pomona College 610 N. College Ave., Claremont, CA, United States

    A Fibonomial is what is obtained when you replace each term of the binomial coefficients $ {n \choose k}$ by the corresponding Fibonacci number.  For example, the Fibonomial $${ 6\brace 3 } = \frac{F_6 \cdot F_5 \cdot \dots \cdot F_1}{(F_3\cdot F_2 \cdot F_1)(F_3\cdot F_2 \cdot F_1)} = \frac{8\cdot5\cdot3\cdot2\cdot1\cdot1}{(2\cdot1\cdot1)(2\cdot1\cdot1)} = 60$$ since the first six Fibonacci […]

  • On the interplay of functional analysis and operator theory (Puig de Dios, UCR)

    Shanahan B460, Harvey Mudd College 301 Platt Blvd., Claremont, CA, United States

    Abstract: We overview some basic and striking facts concerning the theory of hypercyclic operators (considered to be born in 1982): 1. Hypercyclicity is a purely infinite-dimensional phenomenon: no finite dimensional space supports any hypercyclic operator; 2. It is not easy at all to determine whether a linear operator is hypercyclic. However, the set of hypercyclic […]

  • Models of Biological Tissue Electrostatics and Molecular Transport (Jim Sterling, KGI)

    Emmy Noether Room, Millikan 1021, Pomona College 610 N. College Ave., Claremont, California

    In this presentation, some fundamentals of electrostatics in biology will be discussed with focus on the fact that most biological macromolecules including nucleic acids, carbohydrates, and proteins are negatively-charged. Electroneutrality requires cations to move toward the macromolecules where they both screen and bind to the negatively-charged groups. An important class of mathematical models of species-flux […]

  • Matrix multiplication: the hunt for $\omega$ (Mark Huber, CMC)

    Millikan 2099, Pomona College 610 N. College Ave., Claremont, CA, United States

    For centuries finding the determinant of a matrix was considered to be something that took $\Theta(n^3)$ steps.  Only in 1969 did Strassen discover that there was a faster method.  In this talk I'll discuss his finding, how the Master Theorem for divide-and-conquer plays into it, and how it was shown that finding determinants, inverting matrices, […]

  • A General Bayesian Discrete Time Survival Model (King, CPP)

    Shanahan B460, Harvey Mudd College 301 Platt Blvd., Claremont, CA, United States

    Abstract: "We present a general Bayesian statistical model for discrete time, discrete state space stochastic processes. Applications include the modeling of recurrent and episodic disease processes, such as episodes of […]