Where would I use quadratic forms and how?

AI Thread Summary
Quadratic forms are homogeneous polynomials of degree two that can be expressed in matrix terms, leading to eigenvalue calculations and canonical forms. The discussion highlights a perceived disconnect between the perceived dullness of linear algebra and the engaging nature of projective geometry, particularly in how they are taught. There is curiosity about the practical applications of canonical quadratic forms, especially in modeling scenarios. The conversation suggests a need for more engaging teaching methods in linear algebra to better illustrate its relevance. Understanding the utility of canonical quadratic forms in real-world applications remains a key inquiry.
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Wiki defines :In mathematics, a quadratic form is a homogeneous polynomial of degree two in a number of variables.

Yes,all nice and dandy,I get to then express it in terms of matrices and then I find the eigen values and then find the canonical quadratic form,the usual boring linear algebra exercise.But,where could I practically use these forms?For example,in projective geometry,how would I use these?
 
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You're implying that linear algebra is boring and projective geometry is not? I'm curious why. I've always found it the other way around.
 
I meant linear algebra is always taught in a boring way.Projective geometry classes begin with the Riemann sphere and transformations and other enticing stuff for imagination.Anyway,why would I need a canonical quadratic form?
In practical applications like modelling,how is a canonical quadratic form more useful?(other than the fact it has +1 and -1 as coefficients)
 
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