Hilbert Space
#Math #Physics
Describes in an infinite-dimensional vector space the wave function of a particle. In the discrete case where a particle can only take three positions, the Hilbert Space would be $\displaystyle \mathbb{C}^{3}$ with each basis vector corresponding to the probability of the particle taking on that position. Also Cauchy Complete
Visual explanation
Topics
- Square Integrable Vector Space
- Physicists use $\displaystyle L^{2}$ to describe wave functions so that they may have a finite dot product no matter if the wave function lives in an infinite-dimensional space
- Hilbert Space Bases
$\displaystyle \braket{ \Psi_{n} | \Psi_{m} }=\braket{ \Psi_{m} |\Psi_{n} }^{*}$
- Anti commutative in a way
$\displaystyle \braket{ \Psi | \Psi }=1 \Leftrightarrow \Psi \text{ is normalized}$
$\displaystyle \braket{ \Psi_{n} | \Psi_{m} }=0\text{ for }n\neq m\Leftrightarrow \Psi_{n}\text{ and }\Psi_{m}\text{ are orthogonal}$
$\displaystyle \braket{ \Psi_{n} | \Psi_{m} }=\delta_{nm} \Leftrightarrow {\Psi_{n}}\text{ is orthonormal}$
- The basis $\displaystyle {\Psi_{n}}$ is orthonormal
$\displaystyle \Psi(x)=\sum_{n = 1}^{\infty}c_{n}\Psi_{n}(x) \Leftrightarrow {\Psi_{n}}\text{ is complete}$
$\displaystyle c_{n}=\braket{ \Psi_{n} | \Psi }$
- Fourier analysis trick
- Equivalent to $\displaystyle c_{n}=e_{i}\cdot \vec{v}$