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Change of basis

The lecture explains how basis vectors define coordinates, how to convert vectors between coordinate systems, and how to express a transformation in a different basis.

3Blue1Brown⏱ 13 minOpen on YouTube ↗
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What the lecture covers

Coordinates depend on the basis vectors used to describe a space. In the standard basis, a vector is a combination of the unit vectors pointing right and up. A different basis gives the same vector different coordinates: each number tells how much of one of the new basis vectors to combine. The grid and axes are visual aids tied to the basis, while the origin remains the same.

To convert coordinates from Jennifer’s basis to the standard basis, multiply by a matrix whose columns are Jennifer’s basis vectors written in standard coordinates. The inverse matrix converts in the opposite direction. To represent a transformation in Jennifer’s basis, first convert a vector to standard coordinates, apply the transformation, then convert the result back. The resulting matrix is A⁻¹MA, where A contains Jennifer’s basis vectors and M represents the transformation in the standard basis.

Key ideas

Sample questions

A fixed geometric vector is described using two coordinate systems whose basis vectors have different lengths. What can happen to its numerical coordinates?

  1. AThey can change because each coordinate system uses its own basis vectors as reference units.
  2. BThey are determined by the coordinate system’s origin, not by its basis vectors.
  3. CThey must remain identical because the geometric vector has not changed.
  4. DThey change only if the vector itself changes length.
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Correct answer: A. Coordinates express a vector relative to the chosen basis, so changing the basis vectors—and thus the reference units—can change the numbers used to describe the same vector.

If a vector has coordinates (2, −3) in a basis consisting of vectors u and v, how is the vector expressed using u and v?

  1. A−3u + 2v
  2. B2u + 3v
  3. Cu − v
  4. D2u − 3v
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Correct answer: D. Each coordinate is the coefficient multiplying the corresponding basis vector, and the scaled vectors are then added.

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