How to find the rank of a linear map?

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Ignacio Collins asked a question: How to find the rank of a linear map?
Asked By: Ignacio Collins
Date created: Fri, Jul 9, 2021 3:29 AM
Date updated: Wed, May 25, 2022 9:53 AM

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Top best answers to the question «How to find the rank of a linear map»

The rank of a linear transformation L is the dimension of its image, written rankL=dimL(V)=dimranL. The nullity of a linear transformation is the dimension of the kernel, written nulL=dimkerL. Let L:V→W be a linear transformation, with V a finite-dimensional vector space.

FAQ

Those who are looking for an answer to the question «How to find the rank of a linear map?» often ask the following questions:

💻 What is rank of a linear map?

In linear algebra, the rank of a matrix A is the dimension of the vector space generated (or spanned) by its columns. This corresponds to the maximal number of linearly independent columns of A. This, in turn, is identical to the dimension of the vector space spanned by its rows.

💻 How do you find the kernel of a linear map?

To compute the kernel, find the null space of the matrix of the linear transformation, which is the same to find the vector subspace where the implicit equations are the homogeneous equations obtained when the components of the linear transformation formula are equalled to zero.

💻 Is linear map unique?

Thus is linear. Thus and the linear mapping is uniquely defined.

Your Answer

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What is the image of a linear map?

The image of a linear transformation or matrix is the span of the vectors of the linear transformation. (Think of it as what vectors you can get from applying the linear transformation or multiplying the matrix by a vector.) It can be written as Im(A).

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How to write linear maps from v to w?
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