Transpose of a matrix | Matrix transformations | Linear Algebra | Khan Academy | Summary and Q&A

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November 4, 2009
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Transpose of a matrix | Matrix transformations | Linear Algebra | Khan Academy

TL;DR

Matrix transpose involves swapping the rows and columns of a matrix, resulting in a new matrix with the dimensions flipped.

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Key Insights

  • ๐Ÿคจ Matrix transpose involves swapping the rows and columns of a matrix.
  • ๐Ÿฌ The transposed matrix has dimensions flipped compared to the original matrix.
  • ๐Ÿชš The entries of the original matrix become columns in the transposed matrix.
  • ๐Ÿฅก Taking the transpose of a transpose results in the original matrix.

Transcript

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Questions & Answers

Q: What is matrix transpose?

Matrix transpose is the operation of swapping the rows and columns of a matrix, resulting in a new matrix with the dimensions flipped.

Q: How is matrix transpose denoted?

The transpose of a matrix A is typically denoted as A^T or A with superscript T.

Q: Do all matrices have a transpose?

Yes, all matrices can have a transpose, although the dimensions of the resulting transposed matrix will be different from the original.

Q: What is the relationship between matrix transpose and matrix dimensions?

The transpose of an m x n matrix will result in an n x m matrix. The number of rows in the original matrix becomes the number of columns in the transposed matrix, and vice versa.

Summary & Key Takeaways

  • Matrix transpose involves swapping the rows and columns of a matrix.

  • The transpose of an m x n matrix results in an n x m matrix.

  • The entries of the original matrix become columns in the transposed matrix.

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