Dimension of preimage question

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In summary, the conversation discusses the concept of inverse functions and their pre-images. It then moves on to proving that if U is a subspace of W, then g(U) is also a subspace of V. Finally, the conversation considers the relationship between the dimensions of g(U), U intersect Im(f), and ker(f). The first part is proven using linearity and the second part is proven using the rank-nullity theorem.
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ungaria
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let g be the inverse function of f (not necessarily a bijective inverse function)
If S is any subset of W then the pre-image of S is

g(S) = {v ε V: f(v) ε S}

Suppose that U is a subspace of W.
Prove that g(U) is a subspace of V.
Also prove that
dim( g(U) )= dim( U intersect Im(f) ) + dim( ker (f) )

For the first part,
by linearity, f(av1+v2)=af(v1)+f(v2)=au1+ u2 ε U where v1ε g(U), v2ε g(U)
so av1+v2 ε g(U)---> a g(u1)+g(u2)ε g(U)
if f(v)=v.then g(U) is not empty
therefore, g(U) is a subspace.

For the second part,
I am not sure. can i just simply assume that U=W? then g(U) = V and U intersect im(f) is im(f) so clearly dim(V)=dim imf + dim kerf

Could anyone verify my first proof and give me a hint for the second part? Thanks in advance.
 
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Consider the restriction of ##f## on ##g(U)##. Then ##\operatorname{ker}f|_{g(U)}= \operatorname{ker}f## and the rank-nullity-theorem gives $$
\dim(U \cap \operatorname{im}f) = \dim \operatorname{im}f|_{g(U)} = \dim g(U) - \dim \operatorname{ker}f|_{g(U)}=\dim g(U) - \dim \operatorname{ker}f
$$
 

What is a preimage in mathematics?

A preimage in mathematics refers to the set of all elements that are mapped to a specific element in a function's range. In other words, it is the input values that produce a particular output value.

What is the dimension of a preimage?

The dimension of a preimage depends on the number of independent variables in the function. For example, a preimage of a linear function with one independent variable will have a dimension of one, while a preimage of a quadratic function with two independent variables will have a dimension of two.

How do you determine the dimension of a preimage?

To determine the dimension of a preimage, you can count the number of independent variables in the function. Alternatively, you can also look at the number of coordinates needed to specify a point in the preimage. For example, a point on a line requires only one coordinate, while a point in a plane requires two coordinates.

What is the relationship between the dimension of a preimage and the dimension of its image?

The dimension of a preimage and its image are equal. This means that if the preimage has a dimension of n, then the image will also have a dimension of n. This is because a function preserves the dimension of its input and output spaces.

How does the dimension of a preimage affect its graph?

The dimension of a preimage can affect the graph of a function in different ways. For example, a preimage with a higher dimension may result in a more complex graph with more curves and bends. Additionally, the dimension of a preimage can also affect the number of intersections and solutions of a function's graph.

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