A problem on finding orthogonal basis and projection

Click For Summary
SUMMARY

The discussion focuses on finding an orthogonal basis for the span of the functions {x, x^2, x^3} using the inner product defined as = integral f(x) g(x) dx from 0 to 1. The orthogonal basis derived is {1, t^2 - 3t/4, t^3 - 3t/5 - (5t^2)/6}. For projecting the function y = 3(x+x^2) onto this basis, participants emphasize the importance of using the correct orthogonal vectors and applying the projection formula accurately. The conversation highlights the need for clarity in the steps of the Gram-Schmidt process and the projection calculations.

PREREQUISITES
  • Understanding of inner product spaces and orthogonality
  • Familiarity with the Gram-Schmidt process for orthogonalization
  • Knowledge of integral calculus, specifically definite integrals
  • Ability to perform vector projections in inner product spaces
NEXT STEPS
  • Study the Gram-Schmidt process in detail to understand orthogonalization
  • Learn about inner product spaces and their properties
  • Practice calculating projections of functions onto orthogonal bases
  • Explore advanced topics in functional analysis related to continuous functions
USEFUL FOR

Mathematicians, physics students, and anyone involved in applied mathematics or engineering who needs to understand orthogonal bases and projections in the context of continuous functions.

visharad
Messages
51
Reaction score
0
Use the inner product <f,g> = integral f(x) g(x) dx from 0 to 1 for continuous functions on the inerval [0, 1]

a) Find an orthogonal basis for span = {x, x^2, x^3}

b) Project the function y = 3(x+x^2) onto this basis.
---------------------------------------------------------
I know the following:
Two vectors are orthogonal if their inner product = 0
A set of vectors is orthogonal if <v1,v2> = 0 where v1 and v2 are members of the set and v1 is not equal to v2
If S = {v1, v2, ..., vn} is a basis for inner product space and S is also an orthogonal set, then S is an orthogonal basis.

Regarding projection, I know that if W is a finite dimensional subspace of an inner product space V and W has an orthogonal basis S = {v1, v2, ..., vn} and that u is any vector in V then,
projection of u onto W = <u, v1> v1/||v1||^2 + <u, v2> v2/||v2||^2 + <u, v3> v3/||v3||^2 + ...<u, vn> vn/||vn||^2

I can calculate integrals, but I really do not know how to fit all these together for this problem. I am not sure how to start.
 
Physics news on Phys.org
Sorry, but still I did not understand. Can you at least give major steps?
 
What are the column vectors of S ?
 
Is this correct for part a?

If r + s = n, then
<x^r, x^s> = ∫_0^1 x^n dx = x^(n+1)/(n+1) (0, 1)
= 1^(n+1)/(n+1) - 0^(n+1)/(n+1)
= 1/(n+1)

Let the orthogonal basis = {f1, f2, f3}

Put f1 = 1
f2 = t^2- (<t^2,t>)/(<t,t>)*t = t^2- (1/4)/(1/3)*t = t^2 - 3t/4
f3 = t^3- (<t^3,t>)/(<t,t>)*t - (<t^3,t^2>)/(<t^2,t^2>)*t^2
= t^3 - (1/5)/(1/3)*t - (1/6)/(1/5) * t^2 = t^3-3t/5-(5t^2)/6

The orthogonal basis = {1, t^2 - 3t/4, t^3-3t/5-(5t^2)/6}

--------------
How do I solve part b ?
 
visharad said:
Let the orthogonal basis = {f1, f2, f3}

Put f1 = 1
Shouldn't that be f_1 = t since you're orthogonalizing the basis \{x, x^2, x^3\}? You should set f_1 equal to the first vector of the original basis. Actually, it looks like you took f_1 = t for the calculation of f_2...
f2 = t^2- (<t^2,t>)/(<t,t>)*t = t^2- (1/4)/(1/3)*t = t^2 - 3t/4
f3 = t^3- (<t^3,t>)/(<t,t>)*t - (<t^3,t^2>)/(<t^2,t^2>)*t^2
= t^3 - (1/5)/(1/3)*t - (1/6)/(1/5) * t^2 = t^3-3t/5-(5t^2)/6
Make sure you're following the formula I linked. You should be taking the projection along the orthogonal vectors you calculated previously, so you should have
<br /> f_3 = t^3 - \frac{\langle t^3, f_1 \rangle}{\|f_1\|^2} f_1 - \frac{\langle t^3, f_2 \rangle}{\|f_2\|^2} f_2<br />

I think you calculated f_2 correctly, but not f_3.
How do I solve part b ?
You wrote the formula for this in your first post. Once you finish part (a), you can use it.
 

Similar threads

  • · Replies 1 ·
Replies
1
Views
2K
  • · Replies 9 ·
Replies
9
Views
3K
  • · Replies 2 ·
Replies
2
Views
2K
  • · Replies 3 ·
Replies
3
Views
4K
  • · Replies 6 ·
Replies
6
Views
1K
  • · Replies 9 ·
Replies
9
Views
4K
Replies
2
Views
1K
  • · Replies 1 ·
Replies
1
Views
3K
  • · Replies 5 ·
Replies
5
Views
4K
  • · Replies 3 ·
Replies
3
Views
4K