How to visualise bilinear form and inner products?

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SUMMARY

This discussion focuses on visualizing bilinear forms and inner products in the context of abstract linear algebra. The inner product is defined as an abstraction of the dot product, measuring angles and projections between vectors. Specifically, for unit vectors u and v, the inner product is expressed as <u, v> = cos(θ), where θ is the angle between them. The norm of a vector is calculated using the formula ||u|| = (<u, u>)^{1/2}, providing a geometric interpretation of vector lengths and their relationships.

PREREQUISITES
  • Understanding of vector spaces and their properties
  • Familiarity with the concept of the dot product
  • Knowledge of angles and projections in geometry
  • Basic grasp of norms and their calculations
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  • Study the geometric interpretation of inner products in vector spaces
  • Explore the properties of bilinear forms and their applications
  • Learn about the relationship between inner products and orthogonality
  • Investigate the role of norms in defining vector lengths and distances
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Students of abstract linear algebra, mathematicians seeking to deepen their understanding of vector relationships, and educators looking for effective ways to teach visualization of mathematical concepts.

mathmo94
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Hi I'm taking abstract linear algebra course and having trouble visualising bilinear form and inner products. I can visualise vector spaces, span, dimensions etc but haven't managed to figure out how to visualise this yet. Could someone please explain it to me in a visual way?
I can't understand mathematics when I can't visualise it.
 
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Inner products are just abstracted versions of the dot product,which is really a way of measuring angles and projections. If u and v are unit vectors, then \left&lt; u, v \right&gt; = \cos(\theta) where theta is the angle between u and v. It also equals the length of the projection of u onto v. If they are not unit vectors then you need to scale appropriately.
 
Office_Shredder said:
Inner products are just abstracted versions of the dot product,which is really a way of measuring angles and projections. If u and v are unit vectors, then \left&lt; u, v \right&gt; = \cos(\theta) where theta is the angle between u and v. It also equals the length of the projection of u onto v. If they are not unit vectors then you need to scale appropriately.

For completeness, the norm with respect to which u and v are unit vectors is
\|u\| = (\langle u, u \rangle)^{1/2}
 
The less detailed version of the correct explanations above:

An inner product yields a notion of length for vectors (where ||x|| denotes the length of x), which agrees quite well with our intuitions about length. For any pair of vectors x,y, the number \langle x,y\rangle has size between zero and ||x||\cdot||y||. If it has size \approx||x||\cdot||y||, then x and y are approximately parallel. If it's \approx 0, then x and y are approximately perpendicular. If it's a positive number, then x and y make an acute angle (from the origin). If it's a negative number, then x and y make an obtuse angle (from the origin).
 

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