Orthogonality of Sine and Cosine
Inner Products and Hilbert Space Foundations
Inner product theory tells us that two functions are orthogonal on an interval \([a,b]\) if their inner product is 0. This induces the \(L^2\) norm, turning the function space into a Hilbert Space.
The Inner Product: For real-valued functions on \([a,b]\), the inner product is:
This allows us to define the norm as \( \| f \| = \sqrt{\langle f, f \rangle} \).
Integral Identities
By applying basic calculus and the fact that \(\sin(n\pi) = 0\) for all integers \(n\), we find:
Furthermore, using power-reduction identities, we find the norms of these functions:
Proving Orthogonality
To show that these functions form an orthogonal set, we use product-to-sum trigonometric formulas:
For \(m \neq n\), the integral of the product evaluates to zero:
Similarly, for \(\sin(nx)\) and \(\cos(mx)\), the integral also vanishes regardless of the values of \(n\) and \(m\):
The Orthogonal Basis
The set of functions:
is mutually orthogonal on the interval \([-\pi, \pi]\). This geometric property is exactly why we can "decompose" signals into their constituent frequencies without them interfering with one another.