Nullity of a Matrix: Find the Answer

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SUMMARY

The discussion centers on determining the nullity of a matrix with five columns, where one column consists entirely of zeros, and two columns contain leading ones. The user initially believes the nullity to be 3, referencing a textbook, but questions whether the correct nullity should be 2 based on the dimension of the null space. The confusion arises from the relationship between linear dependence and nullity, which is clarified by the need for more specific details about the matrix structure.

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  • Understanding of linear algebra concepts, specifically nullity and null space.
  • Familiarity with matrix representation and column operations.
  • Knowledge of linear dependence and independence in vector spaces.
  • Ability to interpret mathematical problems from textbooks accurately.
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  • Study the definition and calculation of nullity in linear algebra.
  • Learn about the relationship between the rank and nullity of a matrix.
  • Explore examples of matrices with varying structures to practice determining null spaces.
  • Review resources on linear dependence and independence, focusing on their implications for matrix dimensions.
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student444
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Hello.

A matrix has 5 columns.

One of the columns is all zeros.

Two of the columns have leading ones.

So the remaining 2 are linearly dependent in the matrix.

My question is. What is the nullity of the matrix?

My book would say 3 BUT the dimension of the null space is this matrix is 2 right?

So shouldn't the nullity be 2?

Thanks
 
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student444 said:
Hello.

A matrix has 5 columns.

One of the columns is all zeros.

Two of the columns have leading ones.

So the remaining 2 are linearly dependent in the matrix.

My question is. What is the nullity of the matrix?

My book would say 3 BUT the dimension of the null space is this matrix is 2 right?

So shouldn't the nullity be 2?

Thanks


It's hard to understand what you really mean, in particular because of that odd "so" and what follows in the 4th row.

Why don't you better post the actual matrix or at least tell us what book is that and in what page is the problem?

DonAntonio
 

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