Matrix subspaces:
- What is a subspace?
- A subspace of a matrix is a vector space contained within another vector space(basically vector space inception).
- Vector space:
- A vector space is a space that consists of a set of elements(vectors), a field, and the two operations of scalar multiplication and addition.
- Therefore, when a subspace is within a vector space the subspace also contains elements and the two operations of scalar multiplication and addition that are "closed". Thus preventing the resulting outputs from being pushed out of the subspace; otherwise the very definition of subspace is violated.
Rules:
- Must contain the zero vector.
- If the vectors u and v are in the subspace, then so should the sum of u and v (closed under addition).
- If the vector u is in subspace, so then should the product of u and any scalar(c) (closed under scalar multiplication).
⭐ Please note: That a subspace is a span of vectors, but not every span of vectors is able to classify as a subspace due to the rules stated above.
Example:
❗Practice❗:
Exercise S.C20 Robert Beezer
Working within the vector space of polynomials of degree 3 or less, determine if is in the subspace below.
Exercise S.T31 Chris Black
Let be the set of all polynomials, of any degree. The set is a vector space. Let be the subset of consisting of all polynomials with only terms of odd degree. Prove or disprove: the set is a subspace of .
Exercise S.C17 Chris Black
Working within the vector space , determine if is in the subspace ,
Working within the vector space , determine if is in the subspace ,
Beezer, R. (n.d.). Subspaces. Retrieved October 07, 2017, from http://linear.ups.edu/html/section-S.html Problem set and solutions
Black, C. (n.d.). Subspaces. Retrieved October 07, 2017, from http://linear.ups.edu/html/section-S.html Problem set and solutionsUseful applications:
- The use of matrices and their subspaces even make in appearance in my beloved field, biology more specifically in genetic and evolutionary studies.
- Subspaces (subspace clustering) were utilized to model evolutionary trends and hypotheses between genetic variance and speciation away from relative species that were once related or closely related through an common ancestor.
- "We propose a new approach based upon a hypothesis that under evolutionary constraint, descendant sequences from a common ancestor share a mathematical subspace, as opposed to ambient space. In particular, we hypothesize that member nucleotide or peptide sequences lie within low dimensions within the ambient space of all sequences. Therefore, the subspace dimensions are a reflection of mutation and time elapsed since the speciation or duplication within the cluster."
Wallace, T., Sekmen, A., & Wang, X. (2015). Application of Subspace Clustering in DNA Sequence Analysis. Journal of Computational Biology, 22(10), 940–952. http://doi.org/10.1089/cmb.2015.0084
- Reveal the structure of solutions of linear inhomogeneous equations
- Continuum modeling:
- https://doi.org/10.1103/PhysRevE.90.042816
- Topological Space
- Another nifty math blog that covers this very in depth topic:
- https://mathstrek.blog/2013/01/25/topology-subspaces/
- Ring R: Subring or -SubModule (Ring Ideal)
- Requires understanding of ring theory
- Group : Subgroup or Submonoid or Subsemigroup
- Population modeling
- Requires understanding of semigroup theory
- Monoid : Submonoid or Subsemigroup
*All of the italicized applications are out of my current depth of understanding but they are at a level that I hope to one day understand and wholly grasp(fingers crossed).*
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