Linear Algebra, Adjoint of a Linear Operator and Inner Product Spaces

Click For Summary
SUMMARY

The discussion centers on finding a vector y in the inner product space V=P2(R) such that g(f) = for all f in V, where g(f) = f(0) + f'(1). The user attempts to derive y using the orthonormal basis B={1,x,x^2} but arrives at an incorrect result. The correct answer, as per the textbook "Linear Algebra" (fourth edition) by Friedburg, is y=210x^2 - 204x + 33. The user is advised to apply the Gram-Schmidt process to obtain an orthonormal basis before proceeding with the calculations.

PREREQUISITES
  • Understanding of inner product spaces and linear transformations.
  • Familiarity with the Gram-Schmidt orthonormalization process.
  • Knowledge of polynomial spaces, specifically P2(R).
  • Proficiency in evaluating integrals, particularly in the context of inner products.
NEXT STEPS
  • Study the Gram-Schmidt process for generating orthonormal bases in inner product spaces.
  • Learn about inner product definitions and their implications on vector calculations.
  • Explore the properties of linear transformations in the context of polynomial spaces.
  • Review examples of deriving vectors in inner product spaces using the theorem provided in the discussion.
USEFUL FOR

Students of linear algebra, particularly those studying inner product spaces and linear transformations, as well as educators seeking to clarify concepts related to orthonormal bases and polynomial functions.

PrincessEmily
Messages
2
Reaction score
0

Homework Statement


For each of the following inner product spaces V (over F) and linear transformation g:=V [tex]\rightarrow[/tex] F, find a vector y such that g(x) = <x,y> for all x element of V.

The particular case I'm having trouble with is:

V=P2(R), with <f,h>=[tex]\int_0^{1}[/tex] f(t)h(t)dt , g(f)=f(0)+f'(1).

From the textbook Linear Algebra (fourth edition) by Friedburg and Friends.
p. 365 problem #2. c)

Homework Equations



From the theorem given in the book, I know that:
y=[tex]\sum_{i=1}^{n}[/tex][tex]\overline{g(v_i)}[/tex]vi

is a vector such that g(x)=<x,y> for all x element of V
where B={v1,v2...vn} is an orthonormal basis for V.

I also know that the answer (printed in the back of the book) is y=210x2 - 204x + 33 but I have no idea how to get this answer!

The Attempt at a Solution


I assigned B={1,x,x2}={e1,e2,e3} as an orthornormal basis for P2(R) (the space of polynomials of degree less than or equal to 2 over R).
Then I did:
y=g(1)e1 + g(x)e2 + g(x2)e3 because the field is R, I know that [tex]\overline{g(anything)}[/tex] = g(anything) so I don't worry about the conjugate of g(anything)
=(1+0)e1 + (0+1)e2 + (0+2)e3
=1e1 + 1e2 + 2e3
= 1 + x + 2x2

But this isn't the answer from the book... I also have no idea why the inner product was defined for me, I assumed to test my y vector?
I did I similar problem (part a) over R3 using the technique I applied above, and it worked fine.
Any help would be greatly appreciated.
Thanks :)
 
Physics news on Phys.org
If, as you state, {e_1,e_2,e_3}= {1,x, x^2} are an orthonormal basis then it would follow that

[tex]\int_0^1 e_i e_j dx[/tex]

would be 0 or 1.

The inner product was given to you so that you would know what the inner product was, since there are infinitely many inner products. For example, if in your R^3 example I defined {x,y} as <x,y>/2, then you would find a different answer for the question 'find y such that g(x) = {x,y}' than 'find y such that g(x)=<x,y>'.
 
Thank you :)
So I should Gram-Schmidt the basis I have (and then normalize them) to find an orthonormal basis, and then do what I was doing, right?
 

Similar threads

Replies
9
Views
2K
Replies
9
Views
2K
  • · Replies 15 ·
Replies
15
Views
2K
  • · Replies 13 ·
Replies
13
Views
2K
Replies
1
Views
2K
  • · Replies 2 ·
Replies
2
Views
1K
  • · Replies 3 ·
Replies
3
Views
1K
  • · Replies 1 ·
Replies
1
Views
2K
  • · Replies 1 ·
Replies
1
Views
1K
  • · Replies 7 ·
Replies
7
Views
1K