Linear Algebra: intersection of subspaces

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SUMMARY

The discussion focuses on determining the dimension of the intersection of two subspaces, M and N, within a vector space V. The key equation discussed is dim(M ∩ N), which is derived from the bases of the subspaces. The user explores the relationship between the bases of M and N, noting that if the coordinates of a vector v in both bases have zeros in the same positions, the corresponding basis vectors are dependent. The conclusion emphasizes that the dimensions of M and N can differ, leading to a clear understanding of how to construct bases for the intersection and the individual subspaces.

PREREQUISITES
  • Understanding of vector spaces and subspaces
  • Familiarity with basis and dimension concepts
  • Knowledge of linear combinations and dependence
  • Proficiency in using coordinate representations of vectors
NEXT STEPS
  • Study the properties of vector space intersections
  • Learn about the Rank-Nullity Theorem in linear algebra
  • Explore the concept of linear independence in greater detail
  • Investigate applications of subspace intersections in computational problems
USEFUL FOR

Students and educators in linear algebra, mathematicians focusing on vector spaces, and anyone involved in theoretical or applied mathematics requiring a deep understanding of subspace interactions.

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Homework Statement


I'm working on a problem that involves looking at the dimension of the intersection of two subspaces of a vector space.


Homework Equations


[itex]M \subset V[/itex]
[itex]N \subset V[/itex]
dim(M [itex]\cap[/itex] N)
[itex][\vec{v}]_{B_M}[/itex] is the coordinate representation of a vector v with respect to the basis for M



The Attempt at a Solution


I reformulated M [itex]\cap[/itex] N in a bunch of different ways that would be too long to copy down here, but I finally came to this (which may or may not be useful to me in my larger problem but I'm wondering if it is valid itself):

[itex]\vec{v}[/itex] is itself, so it must have the same dimension in both M and N, and since the bases are ordered, for each [itex]\vec{b}_{Mi}[/itex] in [itex]B_M[/itex] for which the corresponding scalar is not zero in the linear combination of elements of [itex]B_M[/itex] equal to [itex]\vec{v}[/itex], and each [itex]\vec{b}_{Nj}[/itex] in [itex]B_N[/itex] for which the corresponding scalar is not zero in the linear combination of elements of [itex]B_N[/itex] equal to [itex]\vec{v}[/itex], if i=j then [itex]\vec{b}_{Mi}[/itex] and [itex]\vec{b}_{Nj}[/itex] are dependent

and [itex][\vec{v}]_{B_M}[/itex] has zeros in the same places as [itex][\vec{v}]_{B_N}[/itex]

but there is a major problem here with the fact that we may have dimM ≠ dimN
 
Physics news on Phys.org
first imaging a basis for the intersection {b1,b2,...,bp}, then expand it to a basis of M, {b1,b2,...,bp,m1,m2,...,mq},
also expand it to a basis for N, {b1,...,bp,n1,n2,...,nr}, dimension of the intersection is p, dim(M)=p+q, dim(N)=p+r.
 
beautiful
 

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