New posts in vector-spaces

Proof for triangle inequality for vectors

inequality vector-spaces proof-writing inner-products

What is the proof that covariance matrices are always semi-definite?

probability matrices vector-spaces proof-writing positive-semidefinite

$\mathbb{R}$ and $\mathbb{R}^2$ isomorphic as groups?

general-topology group-theory proof-verification vector-spaces topological-groups

Inner Product Spaces over Finite Fields

abstract-algebra vector-spaces finite-fields inner-products

Is every axiom in the definition of a vector space necessary?

abstract-algebra vector-spaces definition axioms

Finite dimensional subspace of $C([0,1])$

real-analysis analysis functional-analysis vector-spaces normed-spaces

How to efficiently use a calculator in a linear algebra exam, if allowed

linear-algebra matrices vector-spaces proof-writing

Understanding isomorphic equivalences of tensor product

abstract-algebra vector-spaces tensor-products

Difference between sum and direct sum

linear-algebra vector-spaces vectors direct-sum

A question related to exact sequences and dimension of vector spaces

abstract-algebra vector-spaces exact-sequence

Reflection across a line?

linear-algebra matrices vector-spaces linear-transformations

understanding of the "tensor product of vector spaces"

vector-spaces tensor-products multilinear-algebra

How to show that quotient space $X/Y$ is complete when $X$ is Banach space, and $Y$ is a closed subspace of $X$?

functional-analysis vector-spaces banach-spaces

Pathologies in module theory

abstract-algebra ring-theory vector-spaces modules big-list

Can we conclude that $\text {rank}\ P = k\ $? [closed]

vector-spaces normed-spaces projection

Is closure of convex subset of $X$ is again a convex subset of $X$?

vector-spaces convex-analysis normed-spaces

What kind of matrices are non-diagonalizable?

linear-algebra matrices soft-question vector-spaces eigenvalues-eigenvectors

How to understand dot product is the angle's cosine?

geometry vector-spaces inner-products

Difficulty proving that if set of vectors v's span doesn't contain another vector b, then the set of vectors v & vector b isn't linearly independent.

linear-algebra vector-spaces

Why study finite-dimensional vector spaces in the abstract if they are all isomorphic to $R^n$?

vector-spaces