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This document provides essential announcements for the Quantum Mechanics I course, focusing on key homework assignments due in October 2012. Homework #11 is due on October 9 and includes problems 2.38, 2.39, 2.41, A1, A2, A5, A7. Homework #12 is due on October 11 with problems A8, A9, A11, A14, and 3.1, 3.2. Additionally, the class test results indicate a class average of 78/100, with the highest score being 95/100. The course emphasizes quantum mechanics formalism, including vectors, inner products, and matrices in N-dimensional space.
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Physics 451 Quantum mechanics I Fall 2012 Oct 8, 2012 Karine Chesnel
Quantum mechanics Announcements • Homework this week: • HW # 11due TuesdayOct 9 by 7pm • 2.38, 2.39, 2.41, A1, A2, A5, A7 • HW # 12 due Thursday Oct 11 by 7pm • A8, A9, A11, A14, 3.1, 3.2
Quantum mechanics Test 1 Class average 78 / 100 Pb 1 17.6 / 20 Pb 2 13.5 / 20 Pb 3 16 / 20 Pb 4 14 / 20 Pb 5 16.8 / 20 Highest score: 95/100
Quantum mechanics Need for a formalism
Physical space k j i Quantum mechanics Vectors Generalization (N-space) • Addition • - commutative • - associative • Scalar multiplication • zero vector • linear combination • basis of vectors
Generalization (N-space) “Inner product” Quantum mechanics Inner Product Physical space k B • Norm • Orthogonality • Orthonormal basis • Schwarz inequality q A j “Dot product” i
Linear transformation Matrix • Transpose • Conjugate Quantum mechanics Matrices Physical space Generalization (N-space) k A’ • Sum • Product A’’ q j A • Hermitian conjugate • Transformations: • Multiplication • rotation • symmetric… • Unit matrix i • Inverse matrix • Unitary matrix
Generalization (N-space) Old basis New basis Quantum mechanics Changing bases Physical space k k’ Expressing same transformation T in different bases j’ j Same determinant Same trace i i’
Operator acting on a wave vector: Expectation value/ Inner product Norm: Quantum mechanics Formalism N-dimensional space: basis For Hermitian operators:
Homework- Appendix Pb A1 manipulate vectors Check properties of vectorial space (sum, scalar multiplication, zero vector…) Pb A2Check vectorial properties for group of polynomial functions (sum, scalar multiplication, zero vector…) Pb A5 Proof of Schwarz inequality use Pb A14 Proof of triangular inequality use
Pb A9 scalar matrix Pb A11 matrix product Pb A14 transformation: rotation by angle q, rotation by angle 180º reflection through a plane matrix orthogonal Homework- Appendix Pb A8 manipulate matrices, commutator transpose , Hermitian conjugate inverse matrix