What does it mean if two functions are orthogonal?

In summary, orthogonal functions refer to a set of functions that have a special relationship where their integral over a specified interval is zero. This can be seen intuitively as one function being "active" while the other is "passive" and their product being mostly "passive" as well. In terms of graphs, this can be represented by functions that are perpendicular to each other. This concept can also be generalized to inner product spaces where the inner product is defined as the integral of the product of two functions. Examples of orthogonal functions include sine and cosine, which form an orthogonal set of functions.
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  • #2
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.
 
  • #3
"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 "[itex]L_2[a, b][/itex]", the set of all function that are "square integrable" on interval [0, 1], we can define the inner product to be [itex]\int_a^b f(x)g(x) dx[/itex] (or complex conjugate of g for complex valued functions). Two such functions, f and g, are said to be "orthogonal" if [itex]\int_a^b f(x)g(x)dx= 0[/itex].

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

1. What does it mean for two functions to be orthogonal?

When two functions are orthogonal, it means that their inner product (or dot product) is equal to 0. In other words, the two functions are perpendicular to each other in a mathematical sense.

2. How is orthogonality related to linear independence?

Orthogonality and linear independence are closely related concepts. In fact, if two functions are orthogonal, they are automatically linearly independent. This means that one function cannot be written as a multiple of the other function.

3. Can two non-zero functions be orthogonal?

Yes, two non-zero functions can be orthogonal. As long as their inner product is equal to 0, they are considered to be orthogonal. This is possible even if the two functions have different shapes or values.

4. How is orthogonality used in mathematics and science?

Orthogonality has many applications in mathematics and science. In linear algebra, it is used to find orthogonal bases and to solve systems of equations. In physics, it is used to represent and analyze complex systems, such as waves and quantum states.

5. Can functions in different dimensions be orthogonal?

Yes, functions in different dimensions can be orthogonal. The concept of orthogonality extends to higher dimensions, where the inner product becomes a multi-dimensional integration. As long as the result of the integration is 0, the functions are considered to be orthogonal.

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