Orthogonal set - Geometric interpretation

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SUMMARY

Orthogonal sets of vectors in inner product spaces are defined by the condition =0, indicating that the vectors are perpendicular. In three-dimensional space (R3), three vectors can be orthogonal if they are represented by the standard basis vectors (1,0,0), (0,1,0), and (0,0,1). In two-dimensional space (R2), achieving orthogonality among three vectors is impossible unless one vector is the zero vector. This geometric interpretation highlights the significance of orthogonality in vector spaces.

PREREQUISITES
  • Understanding of inner product spaces
  • Knowledge of vector representation in R2 and R3
  • Familiarity with geometric concepts of perpendicularity
  • Basic linear algebra concepts
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  • Learn about the geometric interpretation of vector spaces
  • Study the implications of orthogonality in linear transformations
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shounakbhatta
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Orthogonal set -- Geometric interpretation

Hello,

If we have two vectors u,v then in an inner product space, they are said to be orthogonal if <u,v>=0.

Well, orthogonal means perpendicular in Euclidean space, i.e. 90 degrees. How <u,v> becomes zero.

Secondly, if I have three vectors, v1,v2,v3 with certain values, computing, we get <v1,v2>=0
<v1,v3>=0
<v2,v3>=0

How will it look like in geometrical figure. I mean to say, what if we take these 3 vectors and put it on a picture and how it would look like?

Thanks,

-- Shounak
 
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shounakbhatta said:
Hello,

If we have two vectors u,v then in an inner product space, they are said to be orthogonal if <u,v>=0.

Well, orthogonal means perpendicular in Euclidean space, i.e. 90 degrees. How <u,v> becomes zero.

Secondly, if I have three vectors, v1,v2,v3 with certain values, computing, we get <v1,v2>=0
<v1,v3>=0
<v2,v3>=0

How will it look like in geometrical figure. I mean to say, what if we take these 3 vectors and put it on a picture and how it would look like?

Thanks,

-- Shounak
In R3, these will be three perpendicular vectors. For example, the standard basis vectors (1,0,0), (0,1,0), and (0,0,1).
In R2, this is not possible, unless at least one of the vectors is the zero vector.
 

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