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

  • #1
zenterix
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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.
 
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  • #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.
 
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1. How do you define the isomorphism ##T|_U## of U onto W?

The isomorphism ##T|_U## of U onto W is defined as the restriction of the surjective linear transformation T from the vector space V to W to a subspace U of V. It is a one-to-one and onto mapping that preserves the vector space structure, meaning it preserves vector addition and scalar multiplication.

2. What is the significance of finding the isomorphism ##T|_U## of U onto W?

By finding the isomorphism ##T|_U## of U onto W, we can establish a bijective correspondence between the subspace U and the target space W. This allows us to understand the structure and properties of U in terms of W, making it easier to analyze and manipulate the subspace within the context of the larger vector space.

3. How do you determine if ##T|_U## is an isomorphism?

To determine if ##T|_U## is an isomorphism, we need to check two main criteria: 1) The mapping is one-to-one (injective), meaning distinct vectors in U are mapped to distinct vectors in W, and 2) The mapping is onto (surjective), meaning every vector in W is the image of at least one vector in U. If both conditions are satisfied, ##T|_U## is an isomorphism.

4. Can you provide an example of finding the isomorphism ##T|_U## of U onto W?

Sure! Let's consider a specific example where T: R^3 -> R^2 is a surjective linear transformation defined by T(x, y, z) = (x + y, 2y + z). If U is a subspace of R^3 spanned by the vectors (1, 0, 1) and (0, 1, -1), we can find the isomorphism ##T|_U## of U onto R^2 by restricting T to U and analyzing the resulting mapping between U and R^2.

5. How does the surjectivity of T impact the isomorphism ##T|_U## of U onto W?

The surjectivity of T ensures that every vector in the target space W is covered by the mapping, allowing for a complete representation of W through the linear transformation. This property plays a crucial role in establishing the isomorphism ##T|_U## of U onto W, as it guarantees that every element in W has a pre-image in U under the restricted mapping, preserving the bijective nature of the isomorphism.

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