Inner Products
An inner product is an additional bit of structure which we can impose on a vector space which allows the definition of things like the "magnitude" (or "norm") of vectors, as well as the "angle" between two vectors.
An inner product is an additional bit of structure which we can impose on a vector space which allows the definition of things like the "magnitude" (or "norm") of vectors, as well as the "angle" between two vectors.
In my last post we explored the nature of the gaps in the rational number line. In doing so, we defined Cauchy sequences and discovered that rational Cauchy sequences do not always converge to a rational number!
We are going to follow a similar procedure now and attempt to construct the real numbers $\R$ using the rational numbers $\Q$ as a starting point. This is a bit more challenging, due to the more subtle nature of the gaps between rational numbers, and so it requires some more complex machinery
Last time I said that our motivation for defining the tangent bundle was so that we'd be able to define smooth vector fields on a manifold, but I didn't quite get there! Let's
In multivariable calculus, we have the concept of a smooth vector field, which is an assignment of a vector to each point in $\R^n$ in such a way that the vectors vary smoothly as we move around in space. We would like to do the same on smooth manifolds, but we immediately run into some problems.
Last time, we defined the tangent space to a smooth manifold at a point. This turned out to be a vector space with the same dimension as the manifold, and tangent vectors were
In calculus, you learn how to construct tangent lines to differentiable curves at a point. In multivariable calculus, you learn how to construct tangent planes to differentiable surfaces at a point. In differential
Smooth manifolds are the primary object of study in differential geometry, and are an essential ingredient in general relativity (spacetime is assumed to be a smooth manifold) and other branches of physics.
In a future post, I would like to introduce a very special type of tensor whose properties are invaluable in many fields, most notably differential geometry. Although it's possible to understand antisymmetric tensors
If you're the sort of person who cowers in fear whenever the word "tensor" is mentioned, this post is for you. We'll pick up right where we left off last time in our discussion of the dual space, and discover how tensor products are a natural extension of the ideas developed in that post.
Since I haven't posted for a while, I decided to break up my rants about homology with some posts on linear (and multilinear) algebra. In this post, we will (as usual) deal only with finite dimensional vector spaces.
Homology groups are topological invariants which, informally, give information about the types of holes in a topological space. They are not the only such invariant in algebraic topology, but they are particularly nice to work with since they are always abelian and easy to compute.