Summary of Linear combinations and span | Vectors and spaces | Linear Algebra | Khan Academy
Main Ideas and Concepts
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Linear Combinations:
A linear combination of Vectors involves adding Vectors together, each multiplied by a scalar (real number). For Vectors v1, v2, …, vn, a linear combination can be expressed as:
c1 v1 + c2 v2 + … + cn vn
Here, c1, c2, …, cn are arbitrary constants from the set of real numbers.
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Example of Linear Combinations:
Given Vectors a = (1, 2) and b = (0, 3):
- A linear combination could be
3a - 2b
, resulting in the vector (3, 0).
- A linear combination could be
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Visual Representation:
The Vectors can be visualized in a coordinate system, demonstrating how different Linear Combinations can produce various resultant Vectors.
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Span of Vectors:
The Span of a set of Vectors is the set of all possible Vectors that can be formed through Linear Combinations of those Vectors.
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Special Case of the Zero Vector:
The Span of the Zero Vector is just the Zero Vector itself, as all Linear Combinations will yield the Zero Vector.
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Basis and Orthogonality:
The unit Vectors i = (1, 0) and j = (0, 1) are orthogonal and form a Basis for &mathbb;R2, meaning any vector in this space can be represented as a linear combination of i and j.
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Formal Definition of Span:
The Span of Vectors v1, v2, …, vn is defined as:
Span(v1, v2, …, vn) = { c1 v1 + c2 v2 + … + cn vn | ci ∈ &mathbb;R }
Methodology and Instructions
- To find the linear combination of Vectors:
- To determine the Span of Vectors:
- To express any point in &mathbb;R2 as a linear combination:
- Set up equations based on the linear combination of the Vectors.
- Solve for the coefficients to express the desired point.
Speakers or Sources Featured
- Sal Khan (Khan Academy)
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