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@@ -10,9 +10,9 @@ The lecture on vector spaces in quantum mechanics consists of the following part
@@ -28,7 +28,7 @@ The contents of this lecture are summarised in the following **videos**:
@@ -45,7 +45,7 @@ This vector space is known as the *state space* of the system.
@@ -72,7 +72,7 @@ The set of all possible state vectors describing a given physical system forms a
The minimum number of vectors needed to form a complete set of basis states is known as the *dimensionality* of the state space. In quantum mechanis you will encounter systems whose Hilbert spaces have very different dimensionality, from the spin-1/2 particle (a $n=2$ vector space) to the free particle (whose state vectors live in an infinite vector space).
The minimum number of vectors needed to form a complete set of basis states is known as the *dimensionality* of the state space. In quantum mechanics you will encounter systems whose Hilbert spaces have very different dimensionality, from the spin-1/2 particle (a $n=2$ vector space) to the free particle (whose state vectors live in an infinite vector space).
@@ -95,7 +95,7 @@ between them, $\langle{\psi}|{\phi}\rangle$, as follows.
@@ -135,12 +135,9 @@ We can also express the basis vectors in this manner. Given that the basis vecto
@@ -168,7 +165,7 @@ $$
As a practical example to illustrate the basic ideas of vector spaces applied to quantum physics presented above, we will consider a quantum system which is fundamental for quantum mechanics and its applications. This system corresponds to the possible states that the intrinsic angular momentum of an electron, known as *spin*, can occupy. As you will see in following courses, the Hilbert space for the electron spin has dimension $n=2$, meaning that we can found an electron *pointing* either in the up direction, denoted by $|+\rangle$, or the down direction, denoted by $|-\rangle$.
@@ -207,11 +204,13 @@ $$
@@ -222,29 +221,30 @@ $$|{\Psi}\rangle= \left( \begin{array}{c}2 \\ 5 \end{array} \right) \, , \qquad