Adjoint of a Differential Operator

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    Differential Operator
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Discussion Overview

The discussion revolves around finding the adjoint of a differential operator, specifically in the context of an inner product defined on a vector space of functions. Participants explore the conditions under which the adjoint operator can be expressed and the implications of the chosen basis for the space of polynomials.

Discussion Character

  • Technical explanation
  • Debate/contested
  • Mathematical reasoning

Main Points Raised

  • One participant seeks to find the adjoint operator D* such that the inner product relation holds, proposing a definition involving the derivative of g(x) for polynomials of degree greater than 0.
  • Another participant suggests a potential form for D* involving delta functions and questions the integration approach used in the context of vector spaces.
  • Concerns are raised regarding the dimensionality of the vector space and its relation to the space of polynomials, emphasizing that a space of polynomials of degree 3 or less has dimension four.
  • A participant clarifies that D is indeed the derivative operator and expresses a desire for feedback on both the mathematical approach and writing skills.
  • One participant concludes that the matrix representation of the adjoint operator D* is simply the transpose of the matrix representation of D, indicating a resolution to their inquiry.

Areas of Agreement / Disagreement

There is no consensus on the initial definitions and assumptions regarding the vector space and the adjoint operator. Some participants express confusion and challenge the clarity of the definitions, while one participant ultimately resolves their inquiry regarding the matrix representation of the adjoint operator.

Contextual Notes

Participants highlight limitations in the initial definitions and the need for clarity regarding the nature of the vector space and the operators involved. The discussion reflects varying levels of understanding and assumptions about the mathematical framework.

Who May Find This Useful

This discussion may be useful for graduate students or individuals studying functional analysis, differential operators, or linear algebra, particularly those interested in the properties of adjoint operators and inner product spaces.

CoachZ
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If the inner product is defined on V with dimension less than or equal to 3 as \left\langle f,g \right\rangle = \int_{0}^{1}f(x)g(x)dx, I'm trying to find D* such that \left\langle Df,g \right\rangle = \left\langle f,D*g \right\rangle, and I thought I had a closed form of D*. If {1, x, (x^2)/2, (x^3)/3}. Call each element e_i, i = 0,...,3 form a basis for V, then \left\langle Df,g \right\rangle = \left\langle f,D*g \right\rangle holds given D* is defined as i times the (derivative of g(x)) if g(x) has degree greater than 0, but I can't think of a closed form so that it will work for all elements. Does anyone have any suggestions?
 
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Would \delta(x-1)-\delta(x)-D work?

\int_0^1 Df(x) g(x)dx = \int_0^1 (df(x)/dx) g(x)dx = f(x) g(x) |^1_0 - \int^1_0 f(x) Dg(x) dx = \int^1_0 f(x) [(\delta(x-1)-\delta(x)) - D]g(x) dx
 
CoachZ said:
If the inner product is defined on V with dimension less than or equal to 3 as \left\langle f,g \right\rangle = \int_{0}^{1}f(x)g(x)dx, I'm trying to find D* such that \left\langle Df,g \right\rangle = \left\langle f,D*g \right\rangle, and I thought I had a closed form of D*. If {1, x, (x^2)/2, (x^3)/3}. Call each element e_i, i = 0,...,3 form a basis for V, then \left\langle Df,g \right\rangle = \left\langle f,D*g \right\rangle holds given D* is defined as i times the (derivative of g(x)) if g(x) has degree greater than 0, but I can't think of a closed form so that it will work for all elements. Does anyone have any suggestions?
? Please be careful to tell us exactly what you are doing! You start by talking about a vector space "V with dimension less than or equal to 3" but then start integrating? A vector space, of any dimension, does not necessarily contain functions at all. "A vector space with dimension less than or equal to 3" is NOT the same as "polynomials of degree 3 or less". (In fact, the space of polynomials of degree 3 or less has dimension four, not three, as you make clear by giving a basis consisting of four functions.)

In any case, what D* is such that <Du, v>= <u, D*v> depends upon what D is! Do you mean that D is the derivative operator?
 
HallsofIvy said:
? Please be careful to tell us exactly what you are doing! You start by talking about a vector space "V with dimension less than or equal to 3" but then start integrating? A vector space, of any dimension, does not necessarily contain functions at all. "A vector space with dimension less than or equal to 3" is NOT the same as "polynomials of degree 3 or less". (In fact, the space of polynomials of degree 3 or less has dimension four, not three, as you make clear by giving a basis consisting of four functions.)

In any case, what D* is such that <Du, v>= <u, D*v> depends upon what D is! Do you mean that D is the derivative operator?

Exactly: D is the derivative operator and I'm trying to find D*, which is simply the adjoint operator. I apologize for writing it so messily. I'm a first year graduate student still working on my writing skills, so if you have any suggestions, either for finding D* or improving writing skills, it would be greatly appreciated.
 
Figured this out. Since every operator takes one some matrix representation, and we consider the orthonormal basis with respect to the differentiation operator, we can extend that basis to matrix form. But there's a theorem that states the matrix representation of D* is simply the transpose of the matrix represented by D. Therefore, I'm all set. Thanks for the suggestions!
 

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