What does it mean if two functions are orthogonal?

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SUMMARY

The discussion clarifies the concept of orthogonal functions, emphasizing that two functions are orthogonal if the integral of their product over a specified interval equals zero. This property indicates that when one function is active, the other is passive, preventing reinforcement of effects. The discussion also extends the definition to inner product spaces, specifically mentioning L_2[a, b] and the integral definition of orthogonality. Examples include the orthogonality of sine and cosine functions over the interval [0, 2π].

PREREQUISITES
  • Understanding of integral calculus, specifically definite integrals.
  • Familiarity with inner product spaces and their properties.
  • Knowledge of trigonometric functions, particularly sine and cosine.
  • Basic concepts of linear algebra, including vectors and dot products.
NEXT STEPS
  • Explore the properties of inner product spaces in greater detail.
  • Learn about Fourier series and their relationship with orthogonal functions.
  • Investigate applications of orthogonal functions in signal processing.
  • Study the concept of orthonormal sets and their significance in functional analysis.
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Mathematicians, physicists, engineers, and students studying functional analysis or signal processing will benefit from this discussion on orthogonal functions.

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In its simplest form, it means that the integral of product function of the two functions over a specified interval is zero.

"So what", you may ask:

It can essentially be regarded as a generalization of the following situation:

If a(x) and b(x) are orthogonal functions over some interval I, it means that whenever on I a(x) is "active" (that is, from the most part DIFFERENT from zero), b(x) is "passive" (i.e, for the most part equal to zero), and vice versa.

So, the PRODUCT of a(x) and b(x) will be practically "passive" everywhere, rather than that a and b reinforce/twist the effects of each other.
 
"Orthogonal", of course, comes from geometry meaning "perpendicular". One property of that is that if two vectors are perpendicular their dot product is 0.

It can be generalized to any "inner product space" with orthogonal defined as "the inner product" (a generalization of dot product in Rn). For spaces of functions, such as "L_2[a, b]", the set of all function that are "square integrable" on interval [0, 1], we can define the inner product to be \int_a^b f(x)g(x) dx (or complex conjugate of g for complex valued functions). Two such functions, f and g, are said to be "orthogonal" if \int_a^b f(x)g(x)dx= 0.

One can show, for example, that \int_0^{2\pi} sin(nx)sin(mx)dx= 0 and \int_0^{2\pi} cos(nx)cos(mx)dx, as long as m\ne n and that \int_0^{2\pi} sin(nx)cos(mx)= 0 for all m and n. Thus, the set of functions {sin(nx), cos(nx)} for for an "orthogonal set" of functions.
 

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