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Introduction to Projections

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•
October 6, 2020
by
The Math Sorcerer
YouTube video player
Introduction to Projections

TL;DR

Explaining vector projections intuitively with formulas and examples.

Transcript

in this video i want to talk about projections i'm going to show you what they actually are intuitively and then we're going to do a simple example so let's look at two pictures so the first picture i'll call pick one and in this example theta is an acute angle so theta is acute so here's the picture so we have a vector which we'll call u i'm going... Read More

Key Insights

  • ❓ Vector projections involve collapsing one vector onto another to find components.
  • 😍 Formulas like u dot v / |v|^2 are used to calculate projections.
  • 📽️ Understanding scalar and vector components is crucial in projecting vectors.
  • 🈸 Vector projections have practical applications in physics, engineering, and mathematics.
  • ✖️ The projection of u onto v can be found by multiplying the scalar component by the unit vector direction of v.
  • ❓ Calculating orthogonal components involves subtracting the projection from the original vector.
  • 🏑 Vector projections help simplify vector operations and calculations in various fields.

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Questions & Answers

Q: What is a vector projection?

A vector projection involves mapping one vector onto another, creating a projection and orthogonal components.

Q: How can the projection of a vector onto another be calculated?

The projection is found using the formula proj of u onto v = (u dot v / |v|^2) * v.

Q: What is the vector component orthogonal to another vector?

The vector component orthogonal to another is found by subtracting the projection from the original vector, creating the orthogonal component.

Q: Why is understanding vector projections important in mathematics?

Vector projections are crucial in physics, engineering, and various mathematical applications where it's essential to resolve vectors into components.

Summary & Key Takeaways

  • Vector projection involves collapsing a vector onto another, creating orthogonal components.

  • The projection of a vector onto another can be found using specific formulas.

  • Vector components can be calculated using scalar and vector operations.


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