Orthogonal Basis and Inner Products

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Homework Help Overview

The discussion revolves around the concepts of orthogonal bases and inner products in vector spaces. Participants are exploring the implications of these concepts, particularly in relation to proving properties of vectors expressed as linear combinations of basis vectors.

Discussion Character

  • Exploratory, Conceptual clarification, Mathematical reasoning

Approaches and Questions Raised

  • Participants discuss the representation of a vector as a linear combination of basis vectors and the implications of orthogonality in inner products. There is a focus on whether the reasoning leading to the conclusion that a vector must be zero is convincing. One participant suggests shifting focus from inner products to the nature of linear combinations.

Discussion Status

The discussion is ongoing, with participants providing feedback on each other's reasoning. Some guidance has been offered regarding the properties of orthonormal bases, but there is no explicit consensus on the correctness of the final conclusions drawn from the reasoning presented.

Contextual Notes

One participant mentions a specific inner product definition and explores the geometric implications of the resulting equation, questioning whether it represents a circle. This indicates a potential area of confusion or further exploration regarding the interpretation of the inner product in this context.

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Homework Statement



Skjermbilde_2012_03_03_kl_11_28_16_AM.png


The Attempt at a Solution

Since A is a vector in V and since the [itex]A_i[/itex] form a basis, we can write A as a linear combination of the [itex]A_i[/itex]. We write [itex]A = x_1 A_1 + ... + x_n A_n[/itex]. Thus, we have,

[itex]<x_1 A_1 + ... + x_n A_n,A_i> = 0 = x_1 <A_1,A_i> + ... + x_n <A_n,A_i>[/itex]. Because two orthogonal vectors, when multiplied via inner product together give the zero vector, we simplify,

[itex]0 = x_i <A_i,A_i>[/itex]. Because we have presumed that the [itex]A_i ≠ 0[/itex], we cannot have [itex]<A_i,A_i> = 0[/itex], so we must have that the [itex]x_i = 0[/itex]. So we have [itex]<A,A_i> = <x_1 A_1 + ... + x_n A_n,A_i> = 0 = x_1 <A_1,A_i> + ... + x_n <A_n,A_i> = x_i <A_i,A_i> = 0 <A_i,A_i> = <0,A_i> = 0. Which shows that A = 0. <br /> <br /> I don't know if I've done this correctly. I feel like it's not entirely convincing towards the end. Advice?[/itex]
 
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TranscendArcu said:

Homework Statement



Skjermbilde_2012_03_03_kl_11_28_16_AM.png


The Attempt at a Solution

Since A is a vector in V and since the [itex]A_i[/itex] form a basis, we can write A as a linear combination of the [itex]A_i[/itex]. We write [itex]A = x_1 A_1 + ... + x_n A_n[/itex]. Thus, we have,

[itex]<x_1 A_1 + ... + x_n A_n,A_i> = 0 = x_1 <A_1,A_i> + ... + x_n <A_n,A_i>[/itex]. Because two orthogonal vectors, when multiplied via inner product together give the zero vector, we simplify,

[itex]0 = x_i <A_i,A_i>[/itex]. Because we have presumed that the [itex]A_i ≠ 0[/itex], we cannot have [itex]<A_i,A_i> = 0[/itex], so we must have that the [itex]x_i = 0[/itex].

you're fine up to here.

So we have [itex]<A,A_i> = <x_1 A_1 + ... + x_n A_n,A_i> = 0 = x_1 <A_1,A_i> + ... + x_n <A_n,A_i> = x_i <A_i,A_i> = 0 <A_i,A_i> = <0,A_i> = 0[/itex]. Which shows that A = 0.

I don't know if I've done this correctly. I feel like it's not entirely convincing towards the end. Advice?

at this point, stop thinking about the "inner products", and start thinking about which linear combination of the Ai, A has to be.
 
TranscendArcu said:

Homework Statement



Skjermbilde_2012_03_03_kl_11_28_16_AM.png


The Attempt at a Solution

Since A is a vector in V and since the [itex]A_i[/itex] form a basis, we can write A as a linear combination of the [itex]A_i[/itex]. We write [itex]A = x_1 A_1 + ... + x_n A_n[/itex]. Thus, we have,

[itex]<x_1 A_1 + ... + x_n A_n,A_i> = 0 = x_1 <A_1,A_i> + ... + x_n <A_n,A_i>[/itex]. Because two orthogonal vectors, when multiplied via inner product together give the zero vector, we simplify,

[itex]0 = x_i <A_i,A_i>[/itex]. Because we have presumed that the [itex]A_i ≠ 0[/itex], we cannot have [itex]<A_i,A_i> = 0[/itex],
You can say more than that- since you are told that the basis is "orthonormal", you know that [itex]<A_i, A_i>= 1[/itex]

so we must have that the [itex]x_i = 0[/itex]. So we have [itex]<A,A_i> = <x_1 A_1 + ... + x_n A_n,A_i> = 0 = x_1 <A_1,A_i> + ... + x_n <A_n,A_i> = x_i <A_i,A_i> = 0 <A_i,A_i> = <0,A_i> = 0. Which shows that A = 0. <br /> <br /> I don't know if I've done this correctly. I feel like it's not entirely convincing towards the end. Advice?[/itex]
[itex] Once you have [itex]x_i= 0[/itex] for all x, you have immediately that [itex]A= 0A_1+ 0A_2+ ...= 0[/itex][/itex]
 
Okay. That makes sense. Thank you both.

This problem is related to the idea of the inner product. I don't think I need any help on the first parts, but I'd like to talk about the third part of the problem.

Skjermbilde_2012_03_03_kl_1_15_53_PM.png


So, finding the length of a given vector given this inner product:
[itex]<(x,y),(x,y)> = 5x^2 + y^2[/itex].

Taking the length, we have

[itex]|(x,y)| = \sqrt{5x^2 + y^2}[/itex], which we define as equaling 1. Squaring both sides we find,

[itex]5x^2 + y^2 = 1[/itex]. I think this is the equation of the circle, but I'm not sure. If it is, then my picture has y-intercepts at 1,-1 and x-intercepts at .5,-.5.

Is this correct?
 

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