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by Pravegaa Education
Chapter 1

Hilbert Space

1.1  Analogy from Euclidean (Three-Dimensional) Vector Space

  • A 3D vector: \(\vec A = a_1\hat{\imath}+ a_2\hat{\jmath}+ a_3\hat{k}\) — it has magnitude and direction.

  • Real numbers \(a_1,a_2,a_3\) fix the magnitude; unit vectors \(\hat{\imath},\hat{\jmath},\hat{k}\) fix the orthonormal (mutually perpendicular) directions.

  • \(\vec A\) is thus represented in the orthonormal basis \(\{\hat{\imath},\hat{\jmath},\hat{k}\}\).

  • Magnitude: \(|\vec A| = \sqrt{a_1^2+a_2^2+a_3^2}\).

  • Changing scalars \(a_i\to b_i\) gives another vector \(\vec B = b_1\hat{\imath}+ b_2\hat{\jmath}+ b_3\hat{k}\).

  • Infinitely many vectors can be built from \(\{\hat{\imath},\hat{\jmath},\hat{k}\}\) \(\Rightarrow\) 3D linear vector space.

Figure

A. Vector Addition

  • Closure: \(\vec A,\vec B\) in basis \(\{\hat{\imath},\hat{\jmath},\hat{k}\}\) \(\Rightarrow\) \(\vec A+\vec B=\vec C = c_1\hat{\imath}+c_2\hat{\jmath}+c_3\hat{k}\), in the same basis, with \(c_i=a_i+b_i\).

  • Commutative: \(\vec A+\vec B=\vec B+\vec A=\vec C\).

  • Associative: \((\vec A+\vec B)+\vec C=\vec A+(\vec B+\vec C)\).

  • Null vector: \(\vec O\) exists with \(\vec A+\vec O=\vec A\) (the null vector defines the origin).

B. Scalar Multiplication

  • Scalars \(a,b,c,\ldots\) are real numbers; \(a\vec A\) scales \(\vec A\) in magnitude by \(a\).

  • \(a(\vec A+\vec B)=a\vec A+a\vec B\),   \((a+b)\vec A=a\vec A+b\vec A\).

  • \(ab\vec A=ba\vec A\),   \(0\,\vec A=\vec O\).

C. Scalar Product

  • \(\vec A\cdot\vec B=|\vec A||\vec B|\cos\theta\) = (projection of \(\vec A\) on \(\vec B\)) \(\times\,|\vec B|\).

  • In the orthonormal basis: \(\vec A\cdot\vec B=a_1b_1+a_2b_2+a_3b_3\).

  • Properties:

    1. Commutative: \(\vec A\cdot\vec B=\vec B\cdot\vec A\).

    2. Homogeneous under scaling: \((a\vec A)\cdot\vec B=a(\vec A\cdot\vec B)=\vec A\cdot(a\vec B)\).

    3. Distributive: \(\vec A\cdot(\vec B+\vec C)=\vec A\cdot\vec B+\vec A\cdot\vec C\).

    4. Norm: \(|\vec A|=\sqrt{\vec A\cdot\vec A}=\sqrt{a_1^2+a_2^2+a_3^2}\); unit vector \(\hat n=\dfrac{\vec A}{|\vec A|}=\dfrac{\vec A}{\sqrt{\vec A\cdot\vec A}}\).

    5. Orthogonal: \(\vec A\perp\vec B\) if \(\vec A\cdot\vec B=0\).

D. Triangle Inequality

  • \(|\vec A+\vec B|\le|\vec A|+|\vec B|\).

E. Cauchy–Schwarz Inequality

  • \(|\vec A\cdot\vec B|\le|\vec A|\,|\vec B|\).

  • In components: \(|a_1b_1+a_2b_2+a_3b_3|\le\sqrt{a_1^2+a_2^2+a_3^2}\,\sqrt{b_1^2+b_2^2+b_3^2}\).

Use of Orthonormal Basis

  • Normalized: \(\hat{\imath}\cdot\hat{\imath}=\hat{\jmath}\cdot\hat{\jmath}=\hat{k}\cdot\hat{k}=1\).

  • Orthogonal: \(\hat{\imath}\cdot\hat{\jmath}=\hat{\jmath}\cdot\hat{k}=\hat{k}\cdot\hat{\imath}=0\).

  • Components by projection: \(a_1=\hat{\imath}\cdot\vec A\), \(a_2=\hat{\jmath}\cdot\vec A\), \(a_3=\hat{k}\cdot\vec A\), so \[\vec A=(\hat{\imath}\cdot\vec A)\,\hat{\imath}+(\hat{\jmath}\cdot\vec A)\,\hat{\jmath}+(\hat{k}\cdot\vec A)\,\hat{k}.\]

  • These orthonormal-basis properties play a central role in defining quantum states; all of them generalize through linear vector algebra.

1.2  State Function and Hilbert Space

  • Hilbert space \(\mathcal{H}\): a function space obeying all rules of a linear vector space plus a well-defined scalar product.

  • Its functions are defined everywhere, square integrable, continuous and infinitely differentiable.

  • Infinite-dimensional Hilbert space is identified as the \(L^2\) space; \(L^2\) = square-summable sequences: \(\sum_n |x_n|^2<\infty\).

  • Convergence of \(\sum_n c_n\phi_n\) is ensured via Cauchy sequences — fundamental to the definition of \(\mathcal{H}\).

  • Elements: vectors/functions \(\phi,\xi,\psi,\ldots\) (Greek letters) and scalars \(a,b,c,\ldots\)

  • \(\phi,\xi,\psi\) are complex; their conjugates \(\phi^*,\xi^*,\psi^*\) belong to the dual space of \(\mathcal{H}\).

  • In QM, \(\phi,\xi,\psi\) are states of the system — functions of dynamical variables (generalized coordinates).

  • Scalars \(a,b,c\) are complex numbers.

A. Addition Rule

  1. Closure: \(\phi(x),\psi(x)\in\mathcal{H}\Rightarrow\phi(x)+\psi(x)=\xi(x)\in\mathcal{H}\).

  2. Commutation: \(\phi(x)+\psi(x)=\psi(x)+\phi(x)\).

  3. Associative: \(\big(\phi(x)+\psi(x)\big)+\xi(x)=\phi(x)+\big(\psi(x)+\xi(x)\big)\).

  4. Null vector: \(O\) exists with \(\psi(x)+O=\psi(x)\).

  5. Inverse: \(-\psi(x)\) exists with \(\psi(x)+(-\psi(x))=O\).

B. Scalar Multiplication

  1. Any linear combination \(a\phi+b\psi\) is also in the space.

  2. Distributive: \((a+b)\psi=a\psi+b\psi\),   \(a(\psi+\phi)=a\psi+a\phi\).

  3. Associative: \(a(b\psi)=ab\,\psi\).

  4. Unit and zero scalars: \(I\psi=\psi\),   \(0\,\psi=O\).

Scalar Product, Square Integrability and Orthonormality

  • States are functions of dynamical variables, e.g. position \(\vec r\) and time \(t\).

  • Scalar product: \((\psi,\phi)=\displaystyle\int\psi^*(\vec r,t)\,\phi(\vec r,t)\,d^3r<\infty\)   (\(\psi^*\) in the dual space).

  • Square integrable: \(\displaystyle\int\psi^*(\vec r)\,\psi(\vec r)\,d^3r<\infty\).

  • Normalized: \(\displaystyle\int\psi^*(\vec r)\,\psi(\vec r)\,d^3r=1\) (any square-integrable function can be normalized).

  • Norm: \(N=\sqrt{(\psi,\psi)}\); normalization constant \(A=1/N\).

  • Orthogonal: \(\displaystyle\int\psi^*(\vec r)\,\phi(\vec r)\,d^3r=0\).

  • Orthonormal: normalized + orthogonal, \((\phi_i,\phi_j)=\delta_{ij}\) (Kronecker delta).

Example 1.1   Orthonormality

Given \(\phi(x)=\begin{cases}a,&-1\le x\le1\\0,&\text{otherwise}\end{cases}\)   and   \(\psi(x)=\begin{cases}bx+c,&-1\le x\le1\\0,&\text{otherwise}\end{cases}\). Find \(a,b,c\) (real) such that \(\phi,\psi\) are orthonormal.

Solution

  • \(\phi\) normalized: \(\displaystyle\int_{-1}^{1}a^2\,dx=1\Rightarrow a=\frac{1}{\sqrt2}\).

  • Orthogonal: \(\displaystyle\int_{-1}^{1}\frac{1}{\sqrt2}(bx+c)\,dx=0\Rightarrow c=0\).

  • \(\psi\) normalized: \(\displaystyle\int_{-1}^{1}(bx)^2\,dx=1\Rightarrow b=\sqrt{\tfrac32}\).

  • Result: \(\phi(x)=\dfrac{1}{\sqrt2}\),   \(\psi(x)=\sqrt{\tfrac32}\,x\) on \([-1,1]\) (zero otherwise).

Example 1.2   Norms, normalization constant and orthogonality

\(\phi(x)=e^{-\alpha x^2}\),   \(\psi(x)=x\,e^{-\alpha x^2}\),   \(-\infty<x<\infty\).

  1. Find the norms of \(\phi,\psi\) and write the normalized functions.

  2. Prove \(\phi\) and \(\psi\) are orthogonal.

  3. Plot \(\phi(x)\) and \(\psi(x)\).

Use \(\displaystyle\int_0^\infty x^n e^{-\beta x^2}dx=\frac12\,\frac{1}{\beta^{(n+1)/2}}\,\Gamma\!\left(\frac{n+1}{2}\right)\).

Solution

  • (a)  \((\phi,\phi)=\displaystyle\int_{-\infty}^{\infty}e^{-2\alpha x^2}dx=\left(\frac{1}{2\alpha}\right)^{1/2}\sqrt\pi\)  \(\Rightarrow\; N_1=\left(\dfrac{\pi}{2\alpha}\right)^{1/4}\),   \(A_1=\left(\dfrac{2\alpha}{\pi}\right)^{1/4}\).

  • Normalized: \(\phi(x)=\left(\dfrac{2\alpha}{\pi}\right)^{1/4}e^{-\alpha x^2}\).

  • \((\psi,\psi)=\displaystyle\int_{-\infty}^{\infty}x^2e^{-2\alpha x^2}dx=\left(\frac{1}{2\alpha}\right)^{3/2}\frac{\sqrt\pi}{2}\)  \(\Rightarrow\; N_2=\left(\dfrac12\right)^{1/2}\dfrac{\pi^{1/4}}{(2\alpha)^{3/4}}\)

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