Products
Features
YouTube Video Summarizer
Summarize YouTube videos
Web & PDF Highlighter
Highlight web pages & PDFs
Chat with PDF
Ask any PDF questions with AI
Ask AI Clone
Chat with your highlights & memories
Audio Transcriber
Transcribe audio files to text
Glasp Reader
Read and highlight articles
Kindle Highlight Export
Export your Kindle highlights
Idea Hatch
Hatch ideas from your highlights
Integrations
Obsidian Plugin
Notion Integration
Pocket Integration
Instapaper Integration
Medium Integration
Readwise Integration
Snipd Integration
Hypothesis Integration
Apps & Extensions
Chrome Extension
Safari Extension
Edge Add-ons
Firefox Add-ons
iOS App
Android App
Discover
Discover
Ideas
Discover new ideas and insights
Articles
Curated articles and insights
Books
Book recommendations by great minds
Posts
Essays and notes from readers
Quotes
Inspiring quotes collection
Videos
Curated videos and summaries
Explore Glasp
Glasp Newsletter
Weekly insights and updates
Glasp Talk
Interview series with great minds
Glasp Blog
Latest news and articles
Glasp Use Cases
Learn how others use Glasp
Build & Support
Glasp API
Access Glasp's API for developers
MCP Connector
Connect Glasp to Claude & ChatGPT
Community
Glasp Reddit Community
Students
Student discount and benefits
FAQs
Frequently Asked Questions
AboutPricing
DashboardLog inSign up

Superposition Theorem

722.6K views
•
February 24, 2020
by
Neso Academy
YouTube video player
Superposition Theorem

TL;DR

Superposition theorem states that in a linear bi-directional network with multiple independent sources, the response in any element is the sum of responses obtained with one source acting at a time while turning off the other sources.

Transcript

in this lecture we are going to have discussion on superposition theorem we will see what is superposition theorem and how to use this theorem to do the analysis of linear bi-directional networks and we will start with the statement of superposition theorem superposition theorem states that the voltage across all the current through an element in a... Read More

Key Insights

  • 😃 Superposition theorem allows us to simplify the analysis of linear bi-directional networks with multiple independent sources.
  • ℹ️ The theorem states that the response in any element is the sum of responses obtained with one source acting at a time while turning off the other sources.
  • ℹ️ Turning off independent sources involves short-circuiting voltage sources and open-circuiting current sources.
  • ↩️ Dependent sources are not turned off in the superposition theorem.

Install to Summarize YouTube Videos and Get Transcripts

Explore YouTube Video Summarizer or Get YouTube Transcript Extractor

Questions & Answers

Q: What is the superposition theorem?

The superposition theorem states that the response in any element of a linear circuit with multiple independent sources is the sum of responses obtained with one source acting at a time while turning off the other sources.

Q: How do we turn off independent sources in the superposition theorem?

To turn off voltage sources, we short-circuit them, and to turn off current sources, we open-circuit them. This allows us to analyze the circuit with one source at a time.

Q: Can we turn off dependent sources in the superposition theorem?

No, dependent sources are not turned off in the superposition theorem. They are left as they are while analyzing the circuit with one independent source at a time.

Q: When is the superposition theorem not valid?

The superposition theorem is not valid in non-linear circuits. It only applies to linear circuits where the relationship between voltage and current is linear.

Key Insights:

  • Superposition theorem allows us to simplify the analysis of linear bi-directional networks with multiple independent sources.
  • The theorem states that the response in any element is the sum of responses obtained with one source acting at a time while turning off the other sources.
  • Turning off independent sources involves short-circuiting voltage sources and open-circuiting current sources.
  • Dependent sources are not turned off in the superposition theorem.
  • The superposition theorem is only valid for linear circuits and does not apply to non-linear circuits.

Summary & Key Takeaways

  • Superposition theorem states that the voltage across or current through an element in a linear circuit is the algebraic sum of the voltages or currents due to each independent source acting alone.

  • To apply the superposition theorem, turn off the independent sources by short-circuiting voltage sources and open-circuiting current sources.

  • Superposition theorem is not valid in non-linear circuits and dependent sources are not turned off.


Read in Other Languages (beta)

English

Share This Summary 📚

Summarize YouTube Videos and Get Video Transcripts with 1-Click

Download browser extensions on:

Try YouTube Summary with ChatGPT & Claude or YouTube Transcript Generator

Explore More Summaries from Neso Academy 📚

Logical AND with Conditionals in Python thumbnail
Logical AND with Conditionals in Python
Neso Academy
LL(1) Parsing – Solved Problems (Set 1) thumbnail
LL(1) Parsing – Solved Problems (Set 1)
Neso Academy
The Infinite while Loop in Python thumbnail
The Infinite while Loop in Python
Neso Academy
Process Control Block thumbnail
Process Control Block
Neso Academy
Statements in Python (Part 2) thumbnail
Statements in Python (Part 2)
Neso Academy
Introduction to Python Programming thumbnail
Introduction to Python Programming
Neso Academy

Summarize YouTube Videos and Get Video Transcripts with 1-Click

Download browser extensions on:

Try YouTube Summary with ChatGPT & Claude or YouTube Transcript Generator

Apps & Extensions

  • Chrome Extension
  • Safari Extension
  • Edge Add-ons
  • Firefox Add-ons
  • iOS App
  • Android App

Key Features

  • YouTube Video Summarizer
  • Web & PDF Summarizer
  • Web & PDF Highlighter
  • Chat with PDF
  • Ask AI Clone
  • Audio Transcriber
  • Glasp Reader
  • Kindle Highlight Export
  • Idea Hatch

Integrations

  • Obsidian Plugin
  • Notion Integration
  • Pocket Integration
  • Instapaper Integration
  • Medium Integration
  • Readwise Integration
  • Snipd Integration
  • Hypothesis Integration

More Features

  • APIs
  • MCP Connector
  • Blog & Post
  • Embed Links
  • Image Highlight
  • Personality Test
  • Quote Shots

Company

  • About us
  • Blog
  • Community
  • FAQs
  • Job Board
  • Newsletter
  • Pricing
Terms

•

Privacy

•

Guidelines

© 2026 Glasp Inc. All rights reserved.