Are Ho(x) and H1(x) orthogonal to H2(x) with respect to e^(-x^2)?

In summary: The weight function is e^(-x^2), so we divide by it and integrate.In summary, the conversation is about proving that Ho(X) and H1(x) are orthogonal to H2(x) with respect to the weight function e^(-x^2) over the interval negative to positive infinity. The method involves multiplying Ho(x) by H2(x) and dividing by the weight function, and integrating using integration by parts. The conversation also discusses the importance of the weight function and its role in the integration process.
  • #1
nadeemo88
6
0
In my third year math class we were asked a question to prove that Ho(X) and H1(x) are orthogonal to H2(x), with respect to the weight function e^(-x^2) over the interval negative to positive infinity

where Ho(x) = 1
H1(x) = 2x
H2(x) = (4x^2) - 2

i know that i have to multiply Ho(x) by H2(x) and divide by the weight function and integrate..but i get lost when it comes to integrating by parts with e^(x^2)...
 
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  • #2
in this question Hn(x) is the herite polynomial...where n = 0, 1, 2 ,3 etc
 
  • #3
Since you have symmetry in x you can do this integral:

[tex]2\int_0^\infty (4x^2-2)e^{-x^2}\,dx[/tex]

Try breaking it into two parts and on the first part use integration by parts with:

[tex]u = 2x\ dv = 2xe^{-x^2}dx[/tex]

and if I'm not mistaken, nice things will happen.
 
  • #4
LCKurtz said:
Since you have symmetry in x you can do this integral:

[tex]2\int_0^\infty (4x^2-2)e^{-x^2}\,dx[/tex]

.

well that looks right..but it should be e^(x^2)...
 
  • #5
Why do you say that? The integral won't even converge with a positive exponential in there.
 
  • #6
you are supposed to divide by the weight function...which is e^(-x^2)
 
  • #7
No you aren't. And like I said, the integral wouldn't converge.
 

FAQ: Are Ho(x) and H1(x) orthogonal to H2(x) with respect to e^(-x^2)?

What are orthogonal polynomials?

Orthogonal polynomials are a type of mathematical function that are defined over a specific interval and have the property of being orthogonal to one another. This means that the integral of the product of two different orthogonal polynomials over the specified interval is equal to zero.

What is the significance of orthogonal polynomials?

Orthogonal polynomials have many applications in mathematics and science, particularly in fields such as calculus, physics, and statistics. They are used to approximate other functions, solve differential equations, and analyze data.

What is the difference between orthogonal polynomials and other types of polynomials?

The main difference between orthogonal polynomials and other types of polynomials is the property of orthogonality. While other types of polynomials may have distinct properties, such as being monic or having integer coefficients, they do not have the property of orthogonality.

How are orthogonal polynomials calculated?

There are various methods for calculating orthogonal polynomials, such as using recurrence relations or the Gram-Schmidt process. The specific method used depends on the type of orthogonal polynomial being calculated and the desired level of accuracy.

What are some examples of orthogonal polynomials?

Some common examples of orthogonal polynomials include Legendre polynomials, Hermite polynomials, Chebyshev polynomials, and Laguerre polynomials. Each of these polynomials has a specific interval over which they are defined and have the property of orthogonality.

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