How is a general vector in decomposed into a sum of a vector in W and a vector in W^perp?
Conditions
- The ambient space is .
- has basis .
- has basis .
- The vector is represented as with .
Reasoning, step by step
- Start with an arbitrary vector in .
- Separate the first two coordinates from the last two coordinates.
- Write the vector as the sum of two vectors: .
- Identify the first summand as an element of because it is a linear combination of the basis vectors of .
- Identify the second summand as an element of because it is a linear combination of the basis vectors of .
- Conclude that the vector is decomposed into a -component and a -component.
Example
The board explicitly writes the decomposition: .
Common misconceptions
- Thinking that the decomposition requires a complex projection formula; in this specific coordinate-aligned example, it is a simple block separation.
- Assuming that the first summand belongs to and the second to ; the order matters based on the defined bases.
Watch the explanation
Connected concepts
Explore next
Related questions
To decompose a vector in , you separate its components based on the bases of and . The part corresponding to the basis of (the first two coordinates) forms a vector in , and the part corresponding to the basis of (the last two coordinates) forms a vector in .
Conditions: The ambient space is .; has basis .; has basis .; The target vector is given, e.g., .
The lecturer states that the representation is unique because, in the context of a direct sum , there is only one way to split a given vector into a part belonging to and a part belonging to . No other pair of vectors from these subspaces can sum to the same original vector.
Conditions: The ambient space is .; and are the specific subspaces defined on the board.; The equation holds.
The representation is unique because the direct sum implies that the intersection of and contains only the zero vector. Therefore, there is only one way to express any vector in as the sum of a vector from and a vector from .
Conditions: and are subspaces of .; .; The equation holds.
The example defines a subspace spanned by the first two standard basis vectors of , and its orthogonal complement spanned by the last two standard basis vectors. Together, they form a direct sum that equals the entire space .
Conditions: The ambient space is .; The bases are taken as given on the board.
Answers are generated from source material and independently checked. Consult the original video or creator if something is unclear.