Understanding Orthogonal Projection: Formula and Definition Explained

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SUMMARY

Orthogonal projection is defined as the process of decomposing a vector V into two components: one that is parallel to another vector W and one that is perpendicular to W. The formula for orthogonal projection is expressed as b - proj b onto a, where 'proj' denotes the projection operation. This concept is visually represented by drawing vectors V and W with their tails together and dropping a perpendicular from the head of W to the line of vector W, forming a right triangle that illustrates the two components. Understanding this geometric representation is crucial for grasping the concept of orthogonal projection.

PREREQUISITES
  • Vector algebra
  • Geometric interpretation of vectors
  • Understanding of projection operations
  • Basic knowledge of right triangles
NEXT STEPS
  • Study vector decomposition techniques
  • Learn about projection matrices in linear algebra
  • Explore applications of orthogonal projection in computer graphics
  • Investigate the role of orthogonal projection in machine learning algorithms
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Students and professionals in mathematics, physics, computer graphics, and machine learning who seek to deepen their understanding of vector operations and their applications.

graycolor
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Can anyone tell me what Orthagonal Projection means. I know the formula is b - proj b onto a.

What does it mean exactly, I tried searching on google.
 
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Given a vector V and another vector W, the idea is to write V as the sum of a vector parallel to W and a vector perpendicular to W. Draw V and W with their tails together and drop a perpendicular from the head of W to the line of vector W. Put appropriate heads on the legs of the little right triangle that forms and you see the two vectors. The perpendicular one is the orthogonal projection.
 

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