Gram-Schmidt Orthonormal Basis & Adjoint for Linear Map in P4([0,1])

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SUMMARY

The discussion focuses on applying the Gram-Schmidt orthogonalization procedure to the canonical basis {1, x, x², x³, x⁴} in order to derive an orthonormal basis for the polynomial space P₄([0, 1]). The resulting orthonormal basis consists of e₁ = 1, e₂ = x - 1/2, e₃ = x² + 1/6 - x, e₄ = x³ - 1/20 + 3/5*x - 3/2*x², and e₅ = x⁴ + 1/70 - 2/7*x + 9/7*x² - 2*x³. The discussion also addresses finding the adjoint of the linear map A defined by A(ax⁴ + bx³ + cx² + dx + e) = cx², with the adjoint A* being derived from the inner product relationships involving the orthonormal basis.

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Homework Statement



Apply the Gram-Schmidt orthogonalization procedure to the canonical basis [itex]1, x, x^2, x^3, x^4[/itex] in order to find an orthonormal basis for the space P4([0, 1]) with respect to the inner product <p(x), q(x)> =int(0,1) p(x)q(x) dx

AND USE THIS BASIS TO FIND THE ADJOINT OF THE LINEAR MAP! [itex]A(ax^4 + bx^3 +cx^2 + dx + e) = cx^2[/itex] (=cx^2 ... no cx^3... latex acts funny?)




Homework Equations





The Attempt at a Solution



Finding the orthogonal basis using the Gram-Schmit algorithm is slimply plugging numbers into a formula, so that is straight forward.

My Basis is:

[itex]e1 =1[/itex]

[itex]e2 = x-1/2[/itex]

[itex]e3 = x^2+1/6-x[/itex]

[itex]e4 = x^3-1/20+3/5*x-3/2*x^2[/itex]

[itex]e5 = x^4+1/70-2/7*x+9/7*x^2-2*x^3[/itex]


Could somebody please guide me as to how I would

USE THIS BASIS TO FIND THE ADJOINT OF THE LINEAR MAP [itex]A(ax^4 + bx^3 + cx^2 + dx + e) = cx^2[/itex] (=cx^2 ... no bx^2... latex acts funny?)

I honestly have no idea where to start?

thought a good place to start would be to find the map of e_i with respect to A,

A(e1) = 0
A(e2) = 0
A(e3) = x^2
A(e4) = 3/2*x^2
A(e5) = 9/7*x^2
 
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The adjoint A* of a map A is the linear transformation satisfying <Ax,y> = <x,A*y> for all x, y in your vector space. Since you have supposedly correctly found a basis which is orthnormal w.r.t. the given inner product, find A* should be straightforward.

Compute <A(ei), ej> for 1 < i, j < 5. This will give you <ei, A*(ej)> for each i, j. Since the basis is orthonormal, you get:

A*(ej) = <A(e1),ej>e1 + ... + <A(e5),ej>e5

You should be able to go from here.
 

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