Lecture

Linear Operators: Motivation in Quantum Mechanics

In course
DEMO: consequat mollit
Excepteur pariatur adipisicing cupidatat nulla occaecat aliqua aliquip do ea. Nisi reprehenderit ea voluptate aliquip minim incididunt qui aliqua dolore est irure aliquip cupidatat eu. Ad adipisicing dolor et laboris in officia occaecat adipisicing enim est non proident aute sit. Anim proident aliquip ipsum adipisicing consectetur velit proident pariatur cupidatat nisi. Est veniam adipisicing id exercitation magna. Ipsum incididunt tempor elit veniam cupidatat nisi labore sint voluptate. Sunt dolore quis do laborum exercitation ex consequat et.
Login to see this section
Description

This lecture introduces the motivation for studying linear operators, focusing on their essential role in Quantum Mechanics (QM). It covers the properties of linear operators in inner product spaces, the representation of measurable quantities by self-adjoint linear operators in QM, and the estimation of probabilities for measuring eigenvalues. Examples of observables in QM, such as position, momentum, and energy operators, are discussed. Additionally, the importance of linear operators in solving linear ODEs and PDEs, identifying spectra and eigenvectors, and computing matrix exponentials is highlighted.

Instructors (2)
amet consequat
Ad qui elit magna do consequat ex exercitation. Anim sit pariatur fugiat sit laboris occaecat laborum. Occaecat aliqua culpa ea in dolor ut est ea tempor amet commodo culpa quis exercitation.
commodo sint et ut
Pariatur pariatur in sit laboris. Esse elit nulla in consequat deserunt dolore laboris aliqua nostrud commodo. Magna labore excepteur mollit sit est Lorem duis. Ea tempor voluptate sint ea duis. Consectetur nostrud non nisi fugiat minim ullamco ipsum veniam esse deserunt laboris.
Login to see this section
About this result
This page is automatically generated and may contain information that is not correct, complete, up-to-date, or relevant to your search query. The same applies to every other page on this website. Please make sure to verify the information with EPFL's official sources.

Graph Chatbot

Chat with Graph Search

Ask any question about EPFL courses, lectures, exercises, research, news, etc. or try the example questions below.

DISCLAIMER: The Graph Chatbot is not programmed to provide explicit or categorical answers to your questions. Rather, it transforms your questions into API requests that are distributed across the various IT services officially administered by EPFL. Its purpose is solely to collect and recommend relevant references to content that you can explore to help you answer your questions.