Chapter 4. EIGENVALUES to Prove the Cauchy–Schwarz Inequality, Note That It Suffices to Consider the Case W = 1
Chapter 4 Eigenvalues 1 The Spectral Theorem Hermitian Spaces Given a C-vector space , an Hermitian inner product in is defined as a Hermitian symmetricV sesquilinear form such thatVthe corresponding Hermitian quadratic form is positive definite. A space equipped with an Hermitian inner product , is called a Her- mitianV space.1 h· ·i The inner square z, z is interpreted as the square of the length z of the vector z. Respectively,h i the distance between two points z and| | w in an Hermitian space is defined as z w . Since the Hermitian inner product is positive, distance is well-defined,| − | symmetric, and positive (unless z = w). In fact it satisfies the triangle inequality2: z w z + w . | − | ≤ | | | | This follows from the Cauchy – Schwarz inequality: z, w 2 z, z w, w , |h i| ≤ h i h i where the equality holds if and only if z and w are linearly dependent. To derive the triangle inequality, write: z w 2 = z w, z w = z, z z, w w, z + w, w | − | h − − i h i − h i − h i h i z 2 + 2 z w + w 2 = ( z + w )2. ≤ | | | || | | | | | | | 1Other terms used are unitary space and finite dimensional Hilbert space. 2This makes a Hermitian space a metric space. 135 136 Chapter 4. EIGENVALUES To prove the Cauchy–Schwarz inequality, note that it suffices to consider the case w = 1. Indeed, when w = 0, both sides vanish, and when w =| |0, both sides scale the same way when w is normalized to the6 unit length. So, assuming w = 1, we put λ := w, z and consider the projection λw of| the| vector z to the lineh spannedi by w.
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