Null space 2: Calculating the null space of a matrix | Linear Algebra | Khan Academy

TL;DR
The null space of a matrix A is the set of all vectors that, when multiplied by A, result in the zero vector.
Transcript
In the last video, I spoke somewhat theoretically about what a null space is and we showed that it is a valid subspace. But in this video let's actually calculate the null space for a matrix. In this case, we'll calculate the null space of matrix A. So null space is literally just the set of all the vectors that, when I multiply A times any of thos... Read More
Key Insights
- 😫 The null space of a matrix is the set of vectors that, when multiplied by the matrix, result in the zero vector.
- 👾 Calculating the null space involves solving the system of equations Ax = 0.
- 👾 The null space can be represented as the span of the vectors that form a linear combination of the solutions.
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Questions & Answers
Q: What is the null space of a matrix?
The null space of a matrix A is the set of vectors that, when multiplied by A, result in the zero vector.
Q: How can the null space be calculated?
To calculate the null space, the system of equations Ax = 0 is solved.
Q: What is the relationship between the null space and row echelon form?
The null space of a matrix A is equal to the null space of its row echelon form.
Q: How can the null space be represented?
The null space can be represented as the span of the vectors that form a linear combination of the solutions.
Summary & Key Takeaways
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The null space of a matrix A is the set of vectors that, when multiplied by A, produce the zero vector.
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To find the null space, the system of equations Ax = 0 is solved.
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The null space can be represented as the span of the vectors that form a linear combination of the solutions.
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