5.2 Functions and Dirac notation

Similar documents
Introduction to Matrix Algebra

MATRIX ALGEBRA AND SYSTEMS OF EQUATIONS

Linear Algebra: Vectors

Particle Physics. Michaelmas Term 2011 Prof Mark Thomson. Handout 7 : Symmetries and the Quark Model. Introduction/Aims

14.1. Basic Concepts of Integration. Introduction. Prerequisites. Learning Outcomes. Learning Style

Lecture 2 Matrix Operations

Solving simultaneous equations using the inverse matrix

Linear Algebra Notes for Marsden and Tromba Vector Calculus

Bits Superposition Quantum Parallelism

Rotation Matrices and Homogeneous Transformations

Quantum Physics II (8.05) Fall 2013 Assignment 4

Linear Programming Notes V Problem Transformations

1 Lecture 3: Operators in Quantum Mechanics

Notes on Determinant

8.2. Solution by Inverse Matrix Method. Introduction. Prerequisites. Learning Outcomes

Inner product. Definition of inner product

A linear combination is a sum of scalars times quantities. Such expressions arise quite frequently and have the form

Vector Math Computer Graphics Scott D. Anderson

a 11 x 1 + a 12 x a 1n x n = b 1 a 21 x 1 + a 22 x a 2n x n = b 2.

Special Situations in the Simplex Algorithm

To discuss this topic fully, let us define some terms used in this and the following sets of supplemental notes.

Review of Fundamental Mathematics

What is Linear Programming?

Matrix Differentiation

MATRIX ALGEBRA AND SYSTEMS OF EQUATIONS. + + x 2. x n. a 11 a 12 a 1n b 1 a 21 a 22 a 2n b 2 a 31 a 32 a 3n b 3. a m1 a m2 a mn b m

Continued Fractions and the Euclidean Algorithm

Inner Product Spaces

Matrices 2. Solving Square Systems of Linear Equations; Inverse Matrices

2. Spin Chemistry and the Vector Model

Chapter 6. Orthogonality

Mathematics Course 111: Algebra I Part IV: Vector Spaces

Click on the links below to jump directly to the relevant section

Lecture L3 - Vectors, Matrices and Coordinate Transformations

Vector and Matrix Norms

x = + x 2 + x

SYSTEMS OF EQUATIONS AND MATRICES WITH THE TI-89. by Joseph Collison

Chapter 3. Distribution Problems. 3.1 The idea of a distribution The twenty-fold way

Recall that two vectors in are perpendicular or orthogonal provided that their dot

Math 4310 Handout - Quotient Vector Spaces

Similarity and Diagonalization. Similar Matrices

Taylor and Maclaurin Series

ALGEBRA. Find the nth term, justifying its form by referring to the context in which it was generated

2 Session Two - Complex Numbers and Vectors

9.2 Summation Notation

3. INNER PRODUCT SPACES

1 Inner Products and Norms on Real Vector Spaces

5. Orthogonal matrices

Lecture 5: Singular Value Decomposition SVD (1)

8.1. Cramer s Rule for Solving Simultaneous Linear Equations. Introduction. Prerequisites. Learning Outcomes. Learning Style

Linear Programming. Solving LP Models Using MS Excel, 18

1 Review of Least Squares Solutions to Overdetermined Systems

2x + y = 3. Since the second equation is precisely the same as the first equation, it is enough to find x and y satisfying the system

Three Pictures of Quantum Mechanics. Thomas R. Shafer April 17, 2009

DIFFERENTIABILITY OF COMPLEX FUNCTIONS. Contents

Row Echelon Form and Reduced Row Echelon Form

Linear Algebra Notes

Linear Algebra Review. Vectors

Scalar Valued Functions of Several Variables; the Gradient Vector

Series FOURIER SERIES. Graham S McDonald. A self-contained Tutorial Module for learning the technique of Fourier series analysis

Computing Orthonormal Sets in 2D, 3D, and 4D

The Quantum Harmonic Oscillator Stephen Webb

Section Inner Products and Norms

Algebra 2 Chapter 1 Vocabulary. identity - A statement that equates two equivalent expressions.

1 Sets and Set Notation.

Examples of Functions

October 3rd, Linear Algebra & Properties of the Covariance Matrix

Physics 221A Spring 2016 Notes 1 The Mathematical Formalism of Quantum Mechanics

No Solution Equations Let s look at the following equation: 2 +3=2 +7

Understanding Basic Calculus

BANACH AND HILBERT SPACE REVIEW

Lecture 7. Matthew T. Mason. Mechanics of Manipulation. Lecture 7. Representing Rotation. Kinematic representation: goals, overview

CITY UNIVERSITY LONDON. BEng Degree in Computer Systems Engineering Part II BSc Degree in Computer Systems Engineering Part III PART 2 EXAMINATION

26 Integers: Multiplication, Division, and Order

Session 7 Fractions and Decimals

BOOLEAN ALGEBRA & LOGIC GATES

MATH10212 Linear Algebra. Systems of Linear Equations. Definition. An n-dimensional vector is a row or a column of n numbers (or letters): a 1.

Part 1 Expressions, Equations, and Inequalities: Simplifying and Solving

Unified Lecture # 4 Vectors

10.2 Series and Convergence

Correlation and Convolution Class Notes for CMSC 426, Fall 2005 David Jacobs

LS.6 Solution Matrices

Geometric Transformations

Copy in your notebook: Add an example of each term with the symbols used in algebra 2 if there are any.

[1] Diagonal factorization

The Convolution Operation

The continuous and discrete Fourier transforms

MATH 4330/5330, Fourier Analysis Section 11, The Discrete Fourier Transform

12. Inner Product Spaces

Binary Number System. 16. Binary Numbers. Base 10 digits: Base 2 digits: 0 1

Vocabulary Words and Definitions for Algebra

ALGEBRA. sequence, term, nth term, consecutive, rule, relationship, generate, predict, continue increase, decrease finite, infinite

5 Homogeneous systems

Section 6.1 Joint Distribution Functions

Chapter 9 Unitary Groups and SU(N)

YOU MUST BE ABLE TO DO THE FOLLOWING PROBLEMS WITHOUT A CALCULATOR!

Linearly Independent Sets and Linearly Dependent Sets

5.3 The Cross Product in R 3

CURVE FITTING LEAST SQUARES APPROXIMATION

Solutions of Linear Equations in One Variable

Math Workshop October 2010 Fractions and Repeating Decimals

Transcription:

5.2 Functions and Dirac notation Slides: Video 5.2.1 Introduction to functions and Dirac notation Text reference: Quantum Mechanics for Scientists and Engineers Chapter 4 introduction

Functions and Dirac notation Quantum mechanics for scientists and engineers David Miller

5.2 Functions and Dirac notation Slides: Video 5.2.2 Functions as vectors Text reference: Quantum Mechanics for Scientists and Engineers Section 4.1 (up to Dirac bra-ket notation )

Functions and Dirac notation Functions as vectors Quantum mechanics for scientists and engineers David Miller

Functions as vectors One kind of list of arguments would be the list of all real numbers which we could list in order as x 1, x 2, x 3 and so on This is an infinitely long list and the adjacent values in the list are infinitesimally close together but we will regard these infinities as details!

Functions as vectors If we presume that we know this list of possible arguments of the function we can write out the function as the corresponding list of values, and we choose to write this list as a column vector 1 2 3 f x f x f x

Functions as vectors For example we could specify the function at points spaced by some small amount x with x 2 = x 1 + x, x 3 = x 2 + x and so on We would do this for sufficiently many values of x and over a sufficient range of x to get a sufficiently useful representation for some calculation such as an integral

Functions as vectors x 2 The integral of f could then be written as f x1 2 f x 2 f x dx f x1 f x2 f x3 x f x3 Provided we choose x sufficiently small and the corresponding vectors therefore sufficiently long we can get an arbitrarily good approximation to the integral

Visualizing a function as a vector Suppose the function f x is approximated by its values at three points x 1, x 2, and x 3 and is represented as a vector f f f f x x x 1 2 3 then we can visualize the function as a vector in ordinary geometrical space

Visualizing a function as a vector x 3 axis f(x) f(x 1 ) f(x 3 ) f(x 3 ) f f(x 2 ) f(x 2 ) f(x 1 ) x 1 axis x 1 x 2 x 3 x 2 axis We could draw a vector whose components along three axes were the values of the function at these three points

Visualizing a function as a vector x 3 axis f(x) f(x 1 ) f(x 3 ) f(x 3 ) f f(x 2 ) f(x 2 ) f(x 1 ) x 1 axis x 1 x 2 x 3 x 2 axis In quantum mechanics the functions are complex, not merely real and there may be many elements in the vector possibly an infinite number

Visualizing a function as a vector x 3 axis f(x) f(x 1 ) f(x 3 ) f(x 3 ) f f(x 2 ) f(x 2 ) f(x 1 ) x 1 axis x 1 x 2 x 3 x 2 axis But we will still visualize the function and, more generally, the quantum mechanical state as a vector in a space

5.2 Functions and Dirac notation Slides: Video 5.2.3 Dirac notation Text reference: Quantum Mechanics for Scientists and Engineers Section 4.1 (first part of Dirac bra-ket notation )

Functions and Dirac notation Dirac notation Quantum mechanics for scientists and engineers David Miller

Dirac bra-ket notation The first part of the Dirac bra-ket notation f x called a ket refers to our column vector f x1 x For the case of our function f(x) f one way to define the ket is x2 x f x f x3 x or the limit of this as x 0 We put x into the vector for normalization The function is still a vector list of numbers

Dirac bra-ket notation We can similarly define the bra f x to refer a row vector f x f x1 x f x2 x f x3 x where we mean the limit of this as x 0 Note that, in our row vector we take the complex conjugate of all the values Note that this bra refers to exactly the same function as the ket These are different ways of writing the same function

Hermitian adjoint The vector a1 a2 a3 is called, variously the Hermitian adjoint the Hermitian transpose the Hermitian conjugate the adjoint of the vector a1 a 2 a3

Hermitian adjoint A common notation used to indicate the Hermitian adjoint is to use the character as a superscript a a 1 2 a1 a2 a 3 a 3

Hermitian adjoint Forming the Hermitian adjoint is like reflecting about a -45º line then taking the complex conjugate of all the elements 1 2 3 a a a 1 2 3 a a a 1 2 3 a a a = 1 2 3 a a a

Hermitian adjoint and bra-ket notation The bra is the Hermitian adjoint of the ket and vice versa f f f f The Hermitian adjoint of the Hermitian adjoint brings us back to where we started a1 a1 a 2 a 2 a1 a2 a 3 a 3 a3

Bra-ket notation for functions Considering f x as a vector and following our previous result and adding bra-ket notation 2 2 1 2 3 f x3 x n n f x dx f x x f x x f x x n f x xf x x f x f x where again the strict equality applies in the limit when x 0 f x1 x f x x

Bra-ket notation for functions Note that the use of the bra-ket notation here eliminates the need to write an integral or a sum The sum is implicit in the vector multiplication f x1 x 2 f x2 x f x dx f x1 x f x2 x f x3 x f x3 x f xn xf xn x n f x f x

Bra-ket notation for functions Note the shorthand for the vector product of the bra and ket g f g f The middle vertical line is usually omitted though it would not matter if it was still there

Bra-ket notation for functions This notation is also useful for integrals of two different functions 2 1 2 3 f x3 x g x f x dx g x x g x x g x x n g x xf x x n g x f x n f x1 x f x x

Inner product In general this kind of product g f g f is called an inner product in linear algebra The geometric vector dot product is an inner product The bra-ket product g f is an inner product The overlap integral g x f xdx is an inner product

Inner product It is inner because it takes two vectors and turns them into a number a smaller entity In the Dirac notation g f the bra-ket gives an inner feel to this product The special parentheses give a closed look

5.2 Functions and Dirac notation Slides: Video 5.2.5 Using Dirac notation Text reference: Quantum Mechanics for Scientists and Engineers Section 4.1 (remainder of 4.1)

Functions and Dirac notation Using Dirac notation Quantum mechanics for scientists and engineers David Miller

Bra-ket notation and expansions on basis sets Suppose the function is not represented directly as a set of values for each point in space but is expanded in a complete orthonormal basis f x cn n x We could also write the function as the ket f (with possibly an infinite number of elements) In this case, the bra version becomes 1 2 3 f x c c c n x n x c c c 1 2 3

Bra-ket notation and expansions on basis sets When we write the function in this different form as a vector containing these expansion coefficients we say we have changed its representation The function f x is still the same function the vector f x is the same vector in our space We have just changed the axes we use to represent the function so the coordinates of the vector have changed now they are the numbers c 1, c 2, c 3

Bra-ket notation and expansions on basis sets Just as before, we could evaluate 2 f x dx f x f xdx cnnx cmmx dx n m 2 cc x x dx cc c n m n m n m nm n nm, nm, n c1 c 2 c1 c2 c 3 f x f x c3 so the answer is the same no matter how we write it

Bra-ket notation and expansions on basis sets Similarly, with we have n g x dn n x 2 1 2 3 c3 g x f x dx d d d g x f x c c 1

Bra-ket expressions Note that the result of a bra-ket expression like or g x f x f x f x is simply a number (in general, complex) which is easy to see if we think of this as a vector multiplication Note that this number is not changed as we change the representation just as the dot product of two vectors is independent of the coordinate system

Expansion coefficients Evaluating the c n in or the d n in is simple because the functions n x are orthonormal Since n x is just a function we can also write it as a ket n To evaluate the coefficient c m we premultiply by the bra to get n f x cn n x n g x dn n x m x f x c x x c c m n m n n mn m n n

Expansion coefficients Using bra-ket notation we can write f x cn n x n Because c n is just a number it can be moved about in the product Multiplication of vectors and numbers is commutative Often in using the bra-ket notation we may drop arguments like x Then we can write f c c f f x c x x c x x f x as n n n n n n n n n n n n n n n n n n

State vectors In quantum mechanics where the function f represents the state of the quantum mechanical system such as the wavefunction the set of numbers represented by the bra f or ket f vector represents the state of the system Hence we refer to f as the state vector of the system and f as the (Hermitian) adjoint of the state vector

State vectors In quantum mechanics the bra or ket always represents either the quantum mechanical state of the system such as the spatial wavefunction or some state the system could be in such as one of the basis states n x x

Convention for symbols in bra and ket vectors The convention for what is inside the bra or ket is loose usually one deduces from the context what is meant For example if it is obvious what basis we were working with we might use n to represent the nth basis function (or basis state ) rather than the notation n x or n The symbols inside the bra or ket should be enough to make it clear what state we are discussing Otherwise there are essentially no rules for the notation

Convention for symbols in bra and ket vectors For example, we could write The state where the electron has the lowest possible energy in a harmonic oscillator with potential energy 0.375x but since we likely already know we are discussing such a harmonic oscillator it will save us time and space simply to write 0 with 0 representing the quantum number Either would be correct mathematically 2