“The grand aim of all science is to cover the greatest number of empirical facts by logical deduction from the smallest number of hypotheses or axioms.”
– Albert Einstein
Linear algebra has been widely used in a variety of fields in mathematics and science. Starting from the simple questions of solving linear equations, the methods and ideas in linear algebra are also applied in some advanced topics of math, such as group representation theory and differential equations. Here in this article, I am trying to give a brief introduction to linear algebra and its basic application with simplest languages and hopefully least number of equations.
In his autobiography, Richard Feynman tells his experience in the lab of Watson and Crick during his professorship in Caltech. He guested in the lab and performed a series of experiments on DNA —— it is quite reasonable for someone like Feynman to try something out of his field, and indeed he had some fruits working in a biochemistry lab. As a physicist, Feynman would finally go back into the world of physics, while this interesting story could be a good reference of our discussion on interdisciplinary studies, such as the role of a physicist bumping into an ecology group and what can he learn from ecology. As a generalization, I hope to get some principles about interdisciplinary studies.
Dr. Han Wang gives a lecture on the history and future of vegetation models at the Institite of Tibetian Pleteau Research, CAS.
During last week (18th - 20th, March), the LPICEA group visited Professor YE Qing in South China Botanical Garden (SCBG), Chinese Academy of Science. Professor Ye shares the common interests in plant functional traits with LPICEA group and has been working on the responses of plant eco-physiological processes and forest community assemblage to global environmental changes for many years.