
Explore the double slit experiment, showing how amplitude superposition creates interference patterns and links quantum states to probability and intensity, with electrons and light. Examine how observation alters outcomes.
During the continued double-slit experiment, electrons in a translation superposition state show interference when unobserved, but measuring which slit they pass through collapses the state and removes the interference.
Explore how measurement disturbs quantum systems and drives the uncertainty between position and momentum, illustrated through single slit diffraction concepts and the Herzenberg gamma ray microscope.
Explore how superposition yields indeterminacy, how measurement disturbs quantum systems, and how the wavefunction encodes probabilistic outcomes via the linear Schrödinger equation with a Hamiltonian operator.
Define probability for simple events, explain normalization, and connect discrete and continuous distributions with standard deviation and probability density.
Explore the inverse relation between differentiation and integration, and practice key techniques such as integration by parts, substitution, and using trigonometric and hyperbolic forms with common integrals.
Define and apply the gamma function through zero-to-infinity integrals, derive properties like gamma(n+1)=n!, and use substitutions to evaluate infinite integrals in quantum mechanics.
Explore how the wave function provides probabilistic information, with |ψ|^2 as the position probability density, normalization to one, and measurement leading to collapse in identically prepared systems.
Explore how normalization fixes the wavefunction constant so that the probability density |ψ(x)|^2 integrates to one in one- and two-dimensional Schrödinger problems, distinguishing normalizable from non-normalizable solutions.
Explore how quantum probability densities require normalization, define expectation values, and how position and momentum operators yield observable measurements for identically prepared systems.
Explore the time-independent Schrödinger equation, derive separable solutions, and identify stationary states as energy eigenstates of the Hamiltonian, with normalization and a discussion of superposition.
Explore linear combinations of energy states and the resulting superposition, and how measurements yield definite eigenvalues with probabilities. Discuss normalization, probability amplitudes, and the energy expectation value.
Explore ordinary and partial differential equations, distinguishing linear from nonlinear forms. Learn about order, degree, and superposition, with applications to physics like a mass spring system.
Explore linear differential equations with constant coefficients, including homogeneous and nonhomogeneous forms, solving via characteristic roots, and constructing complete solutions using exponentials, sines, and cosines.
Explore how any function within a region of interest can be expanded into sine and cosine harmonics via Fourier series, with coefficients found by inner products and orthogonality.
Explore Fourier series representations of a piecewise function using sine, cosine, and the complex form; compute coefficients with integrals, examine convergence and discontinuities.
Explore the 1D box with properties of energy eigenstates, including normalization, orthogonality, and completeness, and learn how any state expands in this basis and how measurements yield eigenvalues.
Examine 1D box quantum states in symmetric wells, explore origin shifts, even/odd wavefunctions, and stationary-state energies, with emphasis on probability densities, expectation values, and independence of coordinate choices.
Explore how a normalized wave function for a particle in a 1d box encodes probability amplitudes and how measurement collapses superpositions to energy eigenstates with probabilities given by squared amplitudes.
Explore the sudden-wall expansion in a one-dimensional box, express the initial state in the final Hamiltonian basis, and compute energy probabilities for the ground and excited states.
Explore how a particle in a one-dimensional box forms a linear combination of eigenstates. Apply normalization and probabilities to predict energy measurements and expected values.
Explore how stable equilibrium yields small-amplitude simple harmonic motion via Taylor expansion of a general potential, and compare classical and quantum oscillator energy and origin shifts.
Explore the harmonic oscillator using ladder operators to derive energy eigenvalues and stationary states, compute expectation values and uncertainties, and analyze measurement outcomes and wave-function symmetry.
Explore late-stage problem hints for the linear harmonic oscillator, including frequency changes, energy eigenvalues, and measurement probabilities, with emphasis on wavefunctions, normalization, and postulates.
Explore how to compute Fourier transforms through worked examples, exploring real integrals, even/odd function properties, and the relationship between time and frequency domains.
Explore a free particle with zero potential, deriving plane-wave traveling solutions. Discuss energy and momentum, the non-normalizability of definite momentum, and wave packets via momentum-space Fourier transforms.
Explore how the free particle challenges definite position and momentum, derive the momentum-space wave function via a Fourier transform, and interpret the uncertainty principle with normalization and probability.
Explore how superposing plane waves form a moving wave packet for a free particle, revealing group velocity vs phase velocity and the envelope.
Explore the Dirac delta as a distribution, its defining properties, normalization, spikes, and relation to the unit step, including delta prime and scaling concepts.
Define the probability current density and derive its continuity with probability density from the Schrödinger equation, highlighting the flow interpretation and real versus complex wavefunctions.
Explore bound and scattering states by contrasting classical turning points and classically allowed regions with quantum tunneling, highlighting discrete versus continuous spectra across various potentials.
Analyze a one-dimensional step potential in quantum mechanics. Match wavefunctions at x=0, derive reflection and transmission coefficients, and discuss current densities for E>V0 vs E<V0.
Analyze the finite potential well, with bound and scattering states, using symmetry to form even and odd solutions. Match at boundaries and count bound states graphically.
Explore vectors and linear vector spaces, defining vectors as objects that follow addition and scalar multiplication rules, with closure, identity, inverse, zero vector, and examples like 3D vectors and polynomials.
Explore the concepts of linear independence and dependence, bases and dimension in vector spaces, using polynomial and matrix examples to illustrate linear combinations.
Explore Hilbert space concepts, functional spaces, inner products, orthogonality, and bases, with finite and infinite dimensional examples, normalization, and dual space representations.
Explore linear operators and hermitian conjugation, including matrix representations, inner products, and the dagger adjoint in finite and infinite dimensional spaces and unitary or self-adjoint cases.
Projection operators in Hilbert and functional spaces are explained, showing how orthonormal bases, inner products, and coefficient expansions yield vector projections and eigenvalue insights.
Explore how a rotation operator acts on vectors and bases, derive matrix elements through basis changes and Maddocks representation, and connect rotated vectors to rotated coordinates in quantum mechanics.
Explore determinants, complex conjugates, and the hermitian conjugate, then master matrix rank through minors, unitary concepts, and elementary row and column transformations to reveal non-singular and singular cases.
Analyze the consistency of linear systems using coefficient and augmented matrices, ranks, determinants, and triangular forms to determine unique, infinite, or no solutions, including homogeneous cases.
an introduction to matrix eigenvalue problems: find eigenvalues via det(A−λI)=0, compute eigenvectors from (A−λI)x=0, discuss distinct vs repeated eigenvalues, and relate eigenvalues to determinant and trace.
Explore the Cayley-Hamilton theorem and eigenvalue problems, showing how to find eigenvalues and eigenvectors, handle degeneracy, and use the characteristic equation for diagonalization.
This lecture defines degenerate eigenvalues and degeneracy in quantum mechanics, contrasts degenerate and non-degenerate cases, and demonstrates that degeneracy can yield fewer than n linearly independent eigenvectors, requiring subspace considerations.
Diagonize quantum matrices by selecting a basis that makes the matrix representation diagonal, using similarity transformations, eigenvalues and eigenvectors, and changing basis to simplify operators.
Explore how to compute functions of matrices and operators using power series, diagonal matrices, and eigenvalues, enabling unitary time evolution and hamiltonian applications in quantum mechanics.
Explore how observables are represented by Hermitian operators, with states as Hilbert-space vectors, whose eigenfunctions form spectra including degenerate cases for measurement.
Explore how continuous spectra are treated in quantum mechanics using generalized eigenstates such as momentum and position, including non-normalizable states, delta normalization, and probability densities for measurement outcomes.
Explore how observables correspond to operators, how measurements yield eigenvalues with probabilities, and how the state collapses to eigenfunctions in position and momentum space.
Explore formalism of commutator algebra in quantum mechanics, defining operators and adjoints, evaluating commutators, and applying Jacobi identity to joint eigenstates and uncertainty relations.
Explore quantum formalism by defining Hilbert spaces of square-integrable functions on [0,1], and analyze linear operator combinations, adjoints, eigenvalues, sequential measurements, probabilities, and time evolution with a hamiltonian.
Solve only first problem in the video. Other problems can be solved after next section.
Solve only first two problem in the video. Other problems can be solved after next section.
Explore the three-dimensional Schrödinger equation, derive the Hamiltonian with the Laplacian, and obtain stationary states as eigenfunctions. Form general solutions via linear combinations with proper normalization for probability.
Explore two dimensional infinite square wells, solve via separation of variables, derive energy spectra and degenerate states. Extend to anisotropic and isotropic harmonic oscillators in two and three dimensions.
Convert from cartesian to spherical polar coordinates to simplify isotropic potentials that depend only on radial distance; separate variables into radial and angular parts, yielding a hydrogen-like eigenvalue problem.
Explore the hydrogen atom model, solve the radial differential equation for hydrogen-like systems, and understand energy levels depend on the principal quantum number with angular momentum and magnetic quantum numbers.
Explore the angular momentum ladder operator method, defining raising and lowering operators, and deriving eigenvalues and eigenfunctions for L^2 and angular momentum components, with discussions on spin and orbital cases.
Generalize angular momentum from orbital motion to internal spin using matrix representations and ladder operators, deriving finite-dimensional J^2 and J_z eigenvalues.
Study spin as an intrinsic, immutable two-state degree of freedom, its relation to orbital motion, and how measurements along x, y, and z yield spin up or down.
Explore how the electron's spin interacts with an external magnetic field, derive its magnetic moment via the g factor and gyromagnetic ratio, and predict spin-up and spin-down energy eigenstates.
Demonstrates spin quantization by using a non-uniform magnetic field to split a silver-atom beam into spin-up and spin-down components, with a dominant uniform field and Larmor precession enabling time-averaged forces.
Explore how a quadratic perturbation to the harmonic oscillator shifts energy levels, derives first- and second-order corrections, and uses degenerate perturbation theory to resolve two-fold degeneracy.
Explains degenerate perturbation theory for a two-dimensional isotropic oscillator with a xy perturbation, and shows how a 45-degree coordinate rotation yields good states and energy splitting.
Explore degenerate perturbation theory, introducing good states and the degenerate basis, and show how perturbations lift or split energy levels using the W matrix and its eigenvalues.
In a 3d box, use non-degenerate and degenerate perturbation theory with a 3×3 W matrix to obtain first-order energy shifts and new eigenstates.
Learn degenerate perturbation theory: construct the W matrix in degenerate subspaces, obtain first-order energy corrections from its eigenvalues, and form good states via its eigenvectors.
This course is undergraduate level Quantum Physics course that helps the students to understand basic concepts and applications. Course is helpful for solving standard textbook and to prepare for GRE Physics exam.
To overcome challenges of online learning, I am trying to implement a method in which online teacher and students refer the same textbooks. Whenever students gets doubts, teacher can tell the student to read particular page or paragraph of the book or suggest some problems from the book.
Learning Physics contains two major parts. First is to understand the concepts and mathematical structure of the theory. Second one is to apply them. So, most of the authors included lot of creative problems in their books along with the theory. While applying the concepts during problems, again we will again get to know the gaps in our understanding. Hence, solving more and more problems becomes major part of Learning Physics.
I might have solved many problems in the beginning of the course. Just watching the video lecture doesn't mean you could able to do those problems yourself. After each sessions, try to build theory and solve problems yourself without the help of book or video. Even you solve thousands of problems by looking into videos, solution manual etc. that doesn't count. Only thing that does matter is how many problems that you can do yourself. Take problems as challenge and solve.
Learning is not one way process. Students can ask doubts any time in this course. I will be very happy to answer.