Gram-Schmidt procedure to find orthonormal basis

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SUMMARY

The discussion focuses on applying the Gram-Schmidt procedure to find an orthonormal basis for the vector space of polynomials of degree 3, specifically using the functions v0 = 1, v1 = t, v2 = t^2, and v3 = t^3. The inner product defined for this context is = (1/2)∫ from -1 to 1 f(t)g(t) dt. Participants clarify the relationship between the functions and the Gram-Schmidt process, emphasizing that polynomials can be treated as linear combinations of the basis vectors and that calculations can be performed directly on the polynomial forms rather than converting to tuples.

PREREQUISITES
  • Understanding of the Gram-Schmidt orthonormalization process
  • Familiarity with inner product spaces and their properties
  • Basic knowledge of polynomial functions and their representations
  • Ability to perform definite integrals
NEXT STEPS
  • Study the Gram-Schmidt process in the context of function spaces
  • Learn about inner product spaces and their applications in functional analysis
  • Explore polynomial approximation techniques and their significance
  • Practice calculating inner products of functions using definite integrals
USEFUL FOR

Students and educators in mathematics, particularly those studying linear algebra, functional analysis, or numerical methods, will benefit from this discussion. It is also valuable for anyone looking to deepen their understanding of orthonormal bases in polynomial spaces.

MellyC
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Homework Statement



The four functions v0 = 1; v1 = t; v2 = t^2; v3 = t^3 form a basis for the vector space of
polynomials of degree 3. Apply the Gram-Schmidt procedure to find an orthonormal basis with
respect to the inner product: < f ; g >= (1/2)\int 1-1 f(t)g(t) dt

Homework Equations



ui = vi - \sumi-1j <vi, uj>/||vj||2> *vj

The Attempt at a Solution



I am not sure that the impact that given inner product integral gives to the question. I don`t even know how to approach this question as well, because I have typically been given vectors of the form (x1, y1, z1) to use gram-schmidt orthonormalization with, not of the given form.
 
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MellyC said:

Homework Statement



The four functions v0 = 1; v1 = t; v2 = t^2; v3 = t^3 form a basis for the vector space of
polynomials of degree 3. Apply the Gram-Schmidt procedure to find an orthonormal basis with
respect to the inner product: < f ; g >= (1/2)\int 1-1 f(t)g(t) dt


Homework Equations



ui = vi - \sumi-1j <vi, uj>/||vj||2> *vj

The Attempt at a Solution



I am not sure that the impact that given inner product integral gives to the question. I don`t even know how to approach this question as well, because I have typically been given vectors of the form (x1, y1, z1) to use gram-schmidt orthonormalization with, not of the given form.

What is stopping you from using the formula in (2) with the inner product as defined in (1)?

RGV
 
How would I go about doing that? I'm a little bit confused about what the relationship between f(t), g(t), vi and ui is in this case. I understand that I can put the integral from part 1 into the inner product for the gram-schmidt orthogonalization in part 2, but what would my f(t) and g(t) represent?
 
MellyC said:
How would I go about doing that? I'm a little bit confused about what the relationship between f(t), g(t), vi and ui is in this case. I understand that I can put the integral from part 1 into the inner product for the gram-schmidt orthogonalization in part 2, but what would my f(t) and g(t) represent?

They would be whatever two functions whose inner product you want.

RGV
 
Last edited:
Welcome to PF, MellyC! :smile:

Let's take the first two as examples:

u_0 = v_0
u_1 = v_1 - \sum_{j=0}^{1-1} {&lt;v_1, u_j&gt; \over ||v_j||^2} \cdot v_j


So:
u_0 = 1
u_1 = t - {&lt;t, 1&gt; \over ||1||^2} \cdot 1
with:
&lt;t, 1&gt; = {1 \over 2} \int_{-1}^1 t \cdot 1 dt
||1||^2 = &lt;1, 1&gt; = {1 \over 2} \int_{-1}^1 1 \cdot 1 dt


Can you calculate u1 from this?
And u2 and u3?
 
MellyC said:
I am not sure that the impact that given inner product integral gives to the question. I don`t even know how to approach this question as well, because I have typically been given vectors of the form (x1, y1, z1) to use gram-schmidt orthonormalization with, not of the given form.
If you really want to, you can look at the polynomials like that. A polynomial f(t) is a linear combination of your given basis vectors:
f(t) = a_0 + a_1 t + a_2 t^2 + a_3 t^3 = a_0 \vec{v}_0 + a_1 \vec{v}_1 + a_2 \vec{v}_2 + a_3 \vec{v}_3so f(t) corresponds to the coordinate vector (a0, a1, a2, a3) and vice versa. You could do your calculations using the 4-tuples (except the inner product since it involves integrating the functions) and then convert your answers back to polynomial form.

But you should be able to see that scalar multiplication of a 4-tuple is the same thing as the usual scalar multiplication of the polynomial. Similarly, vector addition of the 4-tuples is the same as adding the two polynomials the way you normally do. So there's really no reason to use the 4-tuples instead of the polynomials directly in the calculations. They're just different ways of writing the same thing.
 

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