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Mathematicians are well aware of complaints like these about introductions to their subjects, by the way. It is for a reason that this book introduces the theory of abstract vector spaces and linear transformations, rather than relying on the crutch of intuition from Euclidean space. If you want to become a serious mathematician (and this is a book for such people, not for people looking for a gentle introduction to linear algebra for the purposes of applications) at some point it is necessary to rip the bandaid of unabstracted thinking off and engage seriously with abstraction as a tool. It is an important and powerful skill to be presented with an abstract definition, only loosely related to concrete structures you have seen before, and work with it. In mathematics this begins with linear algebra, and then with abstract algebra, real analysis and topology, and eventually more advanced subjects like differential geometry. It's difficult to explain to someone whose exposure to serious mathematics is mostly on the periphery that being exposed forcefully to this kind of thinking is a critical step to be able to make great leaps forward in the future. Brilliant developments of mathematics like, for example, the realisation that "space" is an intrinsic concept and geometry may be done without reference to an ambient Euclidean space begin with learning this kind of abstract thinking. It is easy to take for granted the fruits of this abstraction now, after the hard work has already been put in by others to develop it, and think that the best way to learn it is to return back to the concrete and avoid the abstract. |
This is often called "motivation", but motivation shouldn't be given to provide students with a reason to care about the material - rather the point is to give them an understanding of why the material is developed in the way that it is.
To give a basic example, high school students struggle with concepts like the dot and cross products, because while it's easy to define them, and manipulate symbols using them, it's hard to truly understand why we use these concepts and not some other, e.g. the vector product of individual components a_1 * b_1 + a_2 * b_2 ...
While it is a useful skill to be adroit at symbol manipulation, students also need an intuition for deciding which way to talk about an unfamiliar or new concept, and this is an area in which I've found much of mathematics (and physics) education lacking.