Orthogonal wrt to linear polynomial(s)

In summary, the conversation discusses a problem involving solving for two unknowns with only one equation. It is mentioned that if the math is correct, then the solution is complete, and having one equation with two unknowns results in a one-parameter family of solutions. It is also suggested that any scalar multiple of w(x) should make f and g orthogonal.
  • #1
jegues
1,097
3

Homework Statement



See figure attached for problem statement as well as my attempt.

Homework Equations





The Attempt at a Solution



I can't see how we are expected to solve for 2 unknowns with only one equation? What am I missing? Am I supposed to simply define a in terms of b?

Thanks again!
 

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  • #2
Assuming that your math is correct, then you're done. If you had two equations and two unknowns there would only be one value of (a,b) that would work. If you have two unknowns in one equation, then you have a one-parameter family of solutions, all of which work. In fact, you would hope there would be a family of solutions, since if w(x) ensures that f and g are orthogonal, then any scalar multiple of w(x) should also make f,g orthogonal right?
 
  • #3
Kreizhn said:
Assuming that your math is correct, then you're done. If you had two equations and two unknowns there would only be one value of (a,b) that would work. If you have two unknowns in one equation, then you have a one-parameter family of solutions, all of which work. In fact, you would hope there would be a family of solutions, since if w(x) ensures that f and g are orthogonal, then any scalar multiple of w(x) should also make f,g orthogonal right?

So aside for any algebra mistake that may or may not have occurred in the process, I seem to have the right idea?
 

FAQ: Orthogonal wrt to linear polynomial(s)

What does it mean for a polynomial to be orthogonal with respect to linear polynomials?

Orthogonality with respect to linear polynomials means that the polynomial is perpendicular or at a right angle to all linear polynomials. In other words, the polynomial has no overlap with any linear polynomial when graphed on a coordinate plane.

What is the significance of a polynomial being orthogonal to linear polynomials?

When a polynomial is orthogonal to linear polynomials, it means that it is a basis polynomial for a subspace of polynomials that are perpendicular to all linear polynomials. This subspace is often used in mathematical and statistical modeling to represent relationships between variables.

3. How is orthogonality with respect to linear polynomials determined?

Orthogonality with respect to linear polynomials can be determined through the use of mathematical techniques such as the Gram-Schmidt process or through visual inspection of the polynomial's graph. The polynomial must have a slope of 0 and a y-intercept of 0 to be considered orthogonal to linear polynomials.

4. Can a polynomial be orthogonal to linear polynomials if it is not a linear polynomial itself?

Yes, a polynomial can be orthogonal to linear polynomials even if it is not a linear polynomial. As long as the polynomial has a slope of 0 and a y-intercept of 0, it can be considered orthogonal to linear polynomials.

5. What are the practical applications of orthogonality with respect to linear polynomials?

Orthogonality with respect to linear polynomials has various practical applications in fields such as statistics, data analysis, and engineering. It can be used to represent and analyze relationships between variables, as well as to create mathematical models for predicting future outcomes based on historical data.

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