2024-08-25

745: For Vectors Space with Inner Product, Set of Nonzero Orthogonal Elements Is Linearly Independent

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description/proof of that for vectors space with inner product, set of nonzero orthogonal elements is linearly independent

Topics


About: vectors space

The table of contents of this article


Starting Context



Target Context


  • The reader will have a description and a proof of the proposition that for any vectors space with any inner product, any set of nonzero orthogonal elements is linearly independent.

Orientation


There is a list of definitions discussed so far in this site.

There is a list of propositions discussed so far in this site.


Main Body


1: Structured Description


Here is the rules of Structured Description.

Entities:
F: {R,C}, with the canonical field structure
V: { the F vectors spaces } with any inner product, ,
S: ={v1,...,vn}V
//

Statements:
vjS(vj0)vj,vkS such that vjvk(vj,vk=0)

S{ the linearly independent subsets of V}
//


2: Natural Language Description


For any F{R,C} with the canonical field structure, any F vectors space, V, with any inner product, ,, and any subset, S={v1,...,vn}V, such that vjS(vj0) and vj,vkS such that vjvk(vj,vk=0), S is linearly independent.


3: Proof


Whole Strategy: Step 1: suppose that vjS(vj0)vj,vkS such that vjvk(vj,vk=0) and S was linearly dependent and find a contradiction.

Step 1:

Let us suppose that vjS(vj0)vj,vkS such that vjvk(vj,vk=0).

Let us suppose that S was linearly dependent.

There would be a not-all-zero {c1,...,cn}F such that cjvj=0 (with the Einstein convention). Let ck0. ckvk,vk=cjvj,vk=0,vk=0. But vk,vk0, so, ck=0, a contradiction.

So, S is linearly dependent.


References


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