What is linear operators: Definition and 61 Discussions

In mathematics, and more specifically in linear algebra, a linear map (also called a linear mapping, linear transformation, vector space homomorphism, or in some contexts linear function) is a mapping



V

W


{\displaystyle V\to W}
between two vector spaces that preserves the operations of vector addition and scalar multiplication. The same names and the same definition are also used for the more general case of modules over a ring; see Module homomorphism.
If a linear map is a bijection then it is called a linear isomorphism. In the case where



V
=
W


{\displaystyle V=W}
, a linear map is called a linear endomorphism. Sometimes the term linear operator refers to this case, but the term "linear operator" can have different meanings for different conventions: for example, it can be used to emphasize that



V


{\displaystyle V}
and



W


{\displaystyle W}
are real vector spaces (not necessarily with



V
=
W


{\displaystyle V=W}
), or it can be used to emphasize that



V


{\displaystyle V}
is a function space, which is a common convention in functional analysis. Sometimes the term linear function has the same meaning as linear map, while in analysis it does not.
A linear map from V to W always maps the origin of V to the origin of W. Moreover, it maps linear subspaces in V onto linear subspaces in W (possibly of a lower dimension); for example, it maps a plane through the origin in V to either a plane through the origin in W, a line through the origin in W, or just the origin in W. Linear maps can often be represented as matrices, and simple examples include rotation and reflection linear transformations.
In the language of category theory, linear maps are the morphisms of vector spaces.

View More On Wikipedia.org
  1. S

    Linear Operators: False for Non-Finite Dimensional Vector Spaces

    Let T be a linear operator on a finite dimensional vector space V, over the field F. Suppose TU = I, where U is another linear operator on V, and I is the Identity operator. It can ofcourse be shown that T is invertible and the invese of T is nothing but U itself. What I want to know is an...
  2. J

    Are These Mappings True Linear Operators?

    [SOLVED] Linear Operators Oops, nevermind I figured out my mistake. Homework Statement Determine which of the following mappings T: P1 -> p1 over R are linear operators. 1) T(a0 + a1x ) = a0*x 2) T(a0 + a1x ) = a1a0 + a0*x The Attempt at a Solution My book states that if U = V (vector...
  3. R

    A question on bounded linear operators (Functional Analysis)

    Suppose T: X -> Y and S: Y -> Z , X,Y,Z normed spaces , are bounded linear operators. Is there an example where T and S are not the zero operators but SoT (composition) is the zero operator?
  4. F

    Are Linear Operators Commutative When They Share Common Eigen Vectors?

    If A & B are linear operators, and AY=aY & BY=bY, what is the relationship between A & B such that e^A*e^B=e^(A+B)?? --where e^x=1+x+x^2/2+x^3/3!+...+x^n/n!
  5. F

    Do Commuting Linear Operators A and B Satisfy the Exponential Property?

    If A & B are linear operators, and AY=aY & BY=bY, what is the relationship between A & B such that e^A*e^B=e^(A+B)?? --where e^x=1+x+x^2/2+x^3/3!+...+x^n/n!
  6. MathematicalPhysicist

    Linear Operators: Proving Determinant Property

    i need to prove the next statement: let S and T be linear operators on a vector space V, then det(SoT)=det(S)det(T). my way is this: let v belong to V, and {e_i} be a basis of V v=e1u1+...+e_nu_n then T(v)=e1T(u1)+...+enT(un)...
  7. J

    Linear Operators, characteristic polyn.

    Hi, I'm a little stuck on this problem. The question is: Let T be a linear operator on a two dimensional vector space V , and suppose that T \neq cI for any scalar c. (here I denotes the identity transformation). Show that if U is any linear operator on V such that UT = TU ...
  8. A

    Linear operators & the uncertainty principle

    Hi, I try to understand the proof for the uncertainty principle for two Hermitian operators A and B in a Hilbert space. My questions are rather general so you don't need to know the specific proof. The first thing I couldn't get into my head was the definition of uncertainty (\Delta...
  9. B

    Proving Linear Operators: Commutator Relationships

    I'm not sure where to start with these proofs. Any suggestions getting started would be appreciated. 1. Show that is A,B are linear operators on a complex vector space V, then their product (or composite) C := AB is also a linear operator on V. 2. Prove the following commutator...
  10. H

    Proving Linear Operators and Matrix Similarity

    1. If I: W-->W is the identity linear operator on W defined by I(w) = w for w in W, prove that the matrix of I repect with to any ordered basis T for W is a nXn I matrix, where dim W= n 2. Let L: W-->W be a linear operator defined by L(w) = bw, where b is a constant. Prove that the...
  11. Oxymoron

    Linear Operators on Hilbert Spaces

    Let U, V, W be inner product spaces. Suppose that T:U\rightarrow V and S:V\rightarrow W are bounded linear operators. Prove that the composition S \circ T:U\rightarrow W is bounded with \|S\circ T\| \leq \|S\|\|T\|
Back
Top