Giter Site home page Giter Site logo

feynmans-toolkit-of-tricks's Introduction

Integration under the differentiation sign is a powerful technique for evaluating integrals that involve a parameter. This technique was used extensively by the Nobel Prize-winning physicist Richard Feynman to solve a wide range of problems in quantum mechanics.

The idea behind integration under the differentiation sign is to differentiate both sides of an integral with respect to a parameter, and then use the resulting differential equation to simplify the integral. This technique can be particularly useful when the integral is difficult to evaluate directly, but the differential equation obtained from differentiating it is easier to solve.

One classic example of Feynman's use of this technique involved the evaluation of a certain class of integrals that arise in quantum electrodynamics (QED). These integrals involve a parameter known as the coupling constant, which determines the strength of the interaction between electrons and photons.

To evaluate these integrals, Feynman differentiated them with respect to the coupling constant, and then used the resulting differential equation to simplify the integral. By repeating this process several times, he was able to obtain a series of equations that allowed him to calculate the value of the integral to high precision.

Another example of Feynman's use of integration under the differentiation sign involved the evaluation of an integral that arose in the study of the Lamb shift, a subtle quantum mechanical effect that causes the energy levels of hydrogen atoms to shift slightly.

To evaluate this integral, Feynman again differentiated it with respect to a parameter, and then used the resulting differential equation to simplify the integral. By applying this technique several times, he was able to obtain a series of equations that allowed him to calculate the value of the integral to high precision.

Feynman's use of integration under the differentiation sign highlights the power and versatility of this technique for evaluating difficult integrals. By differentiating an integral with respect to a parameter, we can often obtain a simpler differential equation that allows us to solve the integral more easily. This technique has applications not only in physics, but in many other areas of mathematics and science as well.

feynmans-toolkit-of-tricks's People

Contributors

stpaul2coderdojo avatar

Watchers

 avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    ๐Ÿ–– Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.