Given surjective ##T:V\to W##, find isomorphism ##T|_U## of U onto W.

In summary, the task is to determine an isomorphism of the restricted linear transformation \( T|_U \) from subspace \( U \) of vector space \( V \) onto vector space \( W \), given that \( T \) is a surjective mapping from \( V \) to \( W \). This involves demonstrating that the restriction \( T|_U \) is both injective and surjective, thereby establishing an isomorphism.
  • #1
zenterix
708
84
Homework Statement
Axler, "Linear Algebra Done Right", Problem 8 Section 3D

Suppose ##V## is finite-dimensional and ##T:V\to W## is a surjective linear map of ##V## onto ##W##. Prove that there is a subspace ##U## of ##V## such that ##T|_U## is an isomorphism of ##U## onto ##W##. (Here ##T|_U## means the function ##T## restricted to ##U##. In other words, ##T|_U## is the function whose domain is ##U## with ##T|_U## defined by ##T|_U(u)=Tu## for every ##u\in U##.)
Relevant Equations
Since ##T## is surjective then ##\text{range}(T)=W##.
I will use a proof by cases.

Case 1: dim V = dim W

Then ##T=T|_V## is an isomorphism of ##V## onto ##W##. The reason for this is that it is possible to prove that if ##T## is surjective, which it is, then it is also injective and so it is invertible (hence an isomorphism).

Case 2: dim V < dim W

This case is impossible because a linear map to a larger dimensional space is not surjective.

Case 3: dim V > dim W

$$\text{dim} V = \text{dim null} T + \text{dim range} T = \text{dim null} T+\text{dim} W$$

Let ##U## be such that ##V=U \bigoplus \text{null} T##, that is, the complement of ##\text{null} T##.

Then

$$\text{dim} U + \text{dim null} T = \text{dim} V$$

$$\text{dim} U = \text{dim} W$$

##U## and ##W## are isomorphic and ##T|_U\in L(U,W)## is an isomorphism because it is surjective

Pictorially, we have something like

1698519002071.png


In each case, we can infer the desired result.
 
Last edited:
Physics news on Phys.org
  • #2
Yes, it suffices to consider any complement ##U## of ##\mathrm{Ker}\,T##, i.e, ##U\oplus \mathrm{Ker}\,T \cong V##. Then ##T\vert _U :U\to W## is automatically an isomorphism. To find ##U##, it suffices to take any basis of ##\mathrm{Ker}\,T##, extend it to a basis in ##V## and throw out the null part. In the special case of ##\dim V=\dim W##, any basis of ##\mathrm{Ker}\,T## would have to be empty.
 
  • Like
Likes zenterix

FAQ: Given surjective ##T:V\to W##, find isomorphism ##T|_U## of U onto W.

What is a surjective linear transformation?

A surjective linear transformation, also known as an onto mapping, is a function T: V → W between two vector spaces such that every element in W is the image of at least one element in V. In other words, for every w in W, there exists at least one v in V such that T(v) = w.

What does it mean for a restriction of T to be an isomorphism?

The restriction of T to a subspace U of V, denoted as T|_U, being an isomorphism means that T|_U is a bijective linear transformation from U to W. This implies that T|_U is both injective (one-to-one) and surjective (onto), and thus there exists an inverse linear transformation from W to U.

How do you determine the appropriate subspace U of V?

To find the appropriate subspace U of V such that T|_U is an isomorphism onto W, you need to identify a subspace U where T is injective. This typically involves ensuring that the dimension of U matches the dimension of W, and that the kernel of T intersected with U is trivial (i.e., {0}). This ensures that T|_U is one-to-one and onto.

What are the steps to prove that T|_U is an isomorphism?

To prove that T|_U is an isomorphism, you need to follow these steps:1. Verify that T|_U is linear.2. Show that T|_U is injective by demonstrating that the kernel of T|_U is {0}.3. Show that T|_U is surjective by proving that every element in W is the image of some element in U.4. Conclude that T|_U is bijective, and hence an isomorphism.

Can you provide an example of such a transformation and subspace?

Consider the linear transformation T: R^3 → R^2 defined by T(x, y, z) = (x + y, y + z). This transformation is surjective. To find a subspace U of R^3 such that T|_U is an isomorphism onto R^2, we can choose U = span{(1, 0, 0), (0, 1, 1)}. For this choice, T|_U maps (1, 0, 0) to (1, 0) and (0, 1, 1) to (1, 1), which form a basis for R^2. Thus, T|_U is an isomorphism.

Similar threads

Back
Top