Understanding Dot and Cross Product in Matrix Multiplication

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SUMMARY

The discussion clarifies the differences between dot and cross products in the context of matrix multiplication. It establishes that the dot product results in a scalar value when multiplying a 1xN matrix with an Nx1 matrix, while the cross product can only be applied to pairs of vectors, yielding another vector. The dot product is integral to understanding matrix multiplication, as it provides insights into the relationships between vectors in a matrix. Participants emphasize that a scalar dotted with a vector is undefined, reinforcing the distinct nature of these operations.

PREREQUISITES
  • Understanding of matrix dimensions (1xN, Nx1, NxN)
  • Familiarity with vector operations (dot product and cross product)
  • Basic knowledge of linear algebra concepts
  • Experience with matrix multiplication techniques
NEXT STEPS
  • Explore the properties of the dot product in linear transformations
  • Learn about the geometric interpretation of the cross product
  • Study matrix multiplication rules and their applications in computer graphics
  • Investigate the role of dot products in machine learning algorithms
USEFUL FOR

Students and professionals in mathematics, physics, computer science, and engineering who are looking to deepen their understanding of vector operations and matrix multiplication.

Pippa
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Explain, for example, why you can cross three vectors (two at a time, following the usual rules), but not dot three vectors. Do you see the dot product "in action" in matrix multiplication? What sort of insights can the dot product give when trying to comprehend matrix multiplication?
 
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the dot product is a scalar, the cross product is still a vector
 
The dot product coincides with matrix multiplication , when your matrices are 1xn and
nx1.
 
Thanks Guys :D
 
np-
basically you get a number if its 1xn and nx1 and another vector if its nx1 and nx1
 
Yep, a scalar dotted with a vector is undefined. Finally, something I can answer! :-)
 

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