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Mathematics

Timeline for Why Is the Dual Basis Mathematically Unavoidable?

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22 hours ago answer added Man-I-Fold timeline score: 0
2 days ago answer added Nicolas Malebranche timeline score: 1
Nov 20 at 15:14 comment added Lee Mosher One quick summary to the (very good) comments and answers so far: you write "... if we already have a basis for a vector space ...", but that is a very BIG $\Large{IF}$.
Nov 19 at 17:10 comment added Filip Milovanović See also this answer to a similar question, it's well-written and I think it might provide some insight.
Nov 19 at 14:44 history became hot network question
Nov 19 at 14:40 history reopened Mikhail Katz
Harish Chandra Rajpoot
T_T
Daniele Tampieri
Dominique
Nov 19 at 8:43 review Reopen votes
Nov 19 at 14:40
Nov 18 at 23:42 history closed Ben Steffan
Anne Bauval
Dietrich Burde
Sebastiano
pyridoxal_trigeminus
Opinion-based
Nov 18 at 23:27 answer added Andreas Blass timeline score: 10
Nov 18 at 21:13 answer added Felix Benning timeline score: 6
Nov 18 at 20:57 comment added Malady While for finite dimensional vector spaces, a space is isomorphic to its dual, for finite dimensional vector bundles or infinite dimensional vector spaces, this no longer holds.
Nov 18 at 20:12 comment added Eric Towers Can be difficult to understand in (locally) flat spaces. In Misner, Wheeler, and Thorne's Gravitation, the duals are introduced to give local coordinates on non-flat space because parallel transport "along vectors" doesn't work the way your intuition on flat spaces makes you expect it to.
Nov 18 at 19:55 answer added KCd timeline score: 20
Nov 18 at 19:27 comment added Deane The need for a dual vector space and a dual basis arises even in physics, because the gradient of a scalar function does not transform, under a change of coordinates, like a vector. Physicists noticed this and call the gradient a "pseudovector". However, if you define the gradient of a function as a dual vector, then all of a sudden everything becomes easy and natural.
Nov 18 at 19:18 comment added Deane It probably is possible to avoid defining and using the dual vector space. Just as it is possible to do abstract linear algebra using only $\mathbb{R}^n$ and not defining an abstract vector space. However, this makes everything unnecessarily complicated. An important theme in modern math is, given a natural collection of spaces (such as vector spaces or manifolds), the spaces of scalar functions on a space as well as the space of maps from one space to another are fundamental and powerful concepts. The dual vector space is simply an example of this.
Nov 18 at 19:18 comment added Brian Moehring I'm not even convinced "mathematically unavoidable" is distinct from "convenient" for a human pursuit of mathematics.
Nov 18 at 19:17 review Close votes
Nov 18 at 23:43
Nov 18 at 18:55 comment added Ted Shifrin Suppose your vector space has an inner product. You want to compute this inner product in terms of coordinates coming from a non-orthonormal basis.
Nov 18 at 18:52 history asked Aurora Borealis CC BY-SA 4.0
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