Sporadic points on modular curves (Ozlem Ejder, Colorado State University)
A classic and fundamental result in number theory is due to Mordell who proved that the set of points on an elliptic curve defined over a number field forms a […]
12 events found.
Events
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Emmy Noether Room, Millikan 1021, Pomona College 610 N. College Ave., Claremont, California
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Habitat-driven extinctions: insights from spatially implicit ODE models
Speaker: Kate Meyer, Cornell University Abstract: Biodiversity underpins ecosystem functioning but continues to decline on a global scale. Among human activities driving this trend, habitat destruction is a leading culprit […]
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Applied Math Talk: Dynamics of neuroendocrine stress response given by Prof. Maria Rita D’Orsogna (CSUN)
CGU Math North HouseThe hypothalamic-pituitary-adrenal (HPA) axis is a neuroendocrine system that regulates numerous physiological processes. Disruptions are correlated with stress-related diseases such as PTSD and major depression. We characterize "normal" and "diseased" […]
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Magnitude meets persistence. What happens after?
Argue Auditorium, Pomona College 610 N. College Ave., Claremont, CA, United StatesThe magnitude is an isometric invariant of metric spaces that was introduced by Tom Leinster in 2010, and is currently the object of intense research, as it has been shown […]
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Faster point counting for curves over prime power rings (Maurice Rojas, Texas A&M)
Emmy Noether Room, Millikan 1021, Pomona College 610 N. College Ave., Claremont, CaliforniaCounting points on algebraic curves over finite fields has numerous applications in communications and cryptology, and has led to some of the most beautiful results in 20th century arithmetic geometry. A natural generalization […]
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Calculus, Real Fewnomials, and P vs NP
Argue Auditorium, Pomona College 610 N. College Ave., Claremont, CA, United StatesWe review a beautiful 17th century result by the philosopher Rene Descartes: a univariate real polynomial with t monomial terms has no more than t-1 positive roots. We then see […]
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GEMS Workshop: Mathematics of Information with Professor Lucas Bang of Harvey Mudd College
Shanahan 1480, Harvey Mudd College 301 Platt Blvd., Claremont, CA, United StatesTOPIC: The Mathematics of Information We are surrounded by information. Words in books, ones and zeros in computers, mathematical equations, and DNA sequences are all examples of information, but can […]
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Markov Chains and Emergent Behavior in Programmable Matter given by Prof. Sarah Canon (CMC)
Emmy Noether Room, Millikan 1021, Pomona College 610 N. College Ave., Claremont, CaliforniaMarkov chains are widely used throughout mathematics, statistics, and the sciences, often for modelling purposes or for generating random samples. In this talk I’ll discuss a different, more recent application […]
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Differential spectra of power permutations (Daniel Katz, CSUN)
Emmy Noether Room, Millikan 1021, Pomona College 610 N. College Ave., Claremont, CaliforniaIf $F$ is a finite field and $d$ is a positive integer relatively prime to $|F^\times|$, then the power map $x \mapsto x^d$ is a permutation of $F$, and so is called […]
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Paper Strip Knots (David Bachman)
Millikan 2099, Pomona College 610 N. College Ave., Claremont, CA, United StatesI will discuss joint work with Jim Hoste, where we prove that a unique folded strip of paper can follow any polygonal knot with odd stick number. In the even […]
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Science for the Greater Good: How a Math Professor Saved the Italian Coastline from Big Oil
Argue Auditorium, Pomona College 610 N. College Ave., Claremont, CA, United StatesIn 2007, Dr. Maria D'Orsogna learned of proposed oil activities in her home region of Abruzzo, Italy. Century-old wineries were to be uprooted to build clusters of oil wells, refineries […]
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Applied Math Talk: Stochastic similarity matrices and data clustering given by Prof. Denis Gaidashev (Uppsala University)
Emmy Noether Room, Millikan 1021, Pomona College 610 N. College Ave., Claremont, CaliforniaClustering in image analysis is a central technique that allows to classify elements of an image. We describe a simple clustering technique that uses the method of similarity matrices, and an algorithm […]