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The null space describes what gets sent to 0 during the transformation. Also known as the kernel of the transformation. That is, for a linear transformation T, the null space is the set of all x such that T(x) = 0.

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Q: What is null space of linear transformation?
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What is a linear transformation?

linear transformation can be define as the vector of 1 function present in other vector are known as linear transformation.


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An affine transformation is a linear transformation between vector spaces, followed by a translation.


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What is linear algebra used for?

Linear algebra is used to analyze systems of linear equations. Oftentimes, these systems of linear equations are very large, making up many, many equations and are many dimensions large. While students should never have to expect with anything larger than 5 dimensions (R5 space), in real life, you might be dealing with problems which have 20 dimensions to them (such as in economics, where there are many variables). Linear algebra answers many questions. Some of these questions are: How many free variables do I have in a system of equations? What are the solutions to a system of equations? If there are an infinite number of solutions, how many dimensions do the solutions span? What is the kernel space or null space of a system of equations (under what conditions can a non-trivial solution to the system be zero?) Linear algebra is also immensely valuable when continuing into more advanced math topics, as you reuse many of the basic principals, such as subspaces, basis, eigenvalues and not to mention a greatly increased ability to understand a system of equations.

Related questions

What is a linear transformation?

linear transformation can be define as the vector of 1 function present in other vector are known as linear transformation.


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No, it is a linear transformation.


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