MHB How to define this linear transformation

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To define the linear transformation F from U+W to Y, it is essential to express F as F(x) = S(u) + T(w), where x = u + w with u in U and w in W. The critical aspect is ensuring that this definition is well-defined, meaning that different representations of x must yield the same output for F. Specifically, if x can be expressed as both x = u1 + w1 and x = u2 + w2, it must hold that S(u1) + T(w1) = S(u2) + T(w2). This requirement arises from the property that S and T agree on the intersection U ∩ W, ensuring consistency in the transformation. Thus, demonstrating this equality is key to validating the definition of F.
Granger
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> Admit that $V$ is a linear space about $\mathbb{R}$ and that $U$ and $W$ are subspaces of $V$. Suppose that $S: U \rightarrow Y$ and $T: W \rightarrow Y$ are two linear transformations that satisfy the property:

> $(\forall x \in U \cap W)$ $S(x)=T(x)$

> Define a linear transformation $F$: $ U+W \rightarrow Y$ that matches with S for values in U and matches with T with values in W.

My thought is to choose the linear transformation $F=S+T$ because it will be the union of both transformation, right? But now I know this is incorrect...

Can someone give an hint on how to approach the problem (without using matrices...)?

I know that the function might be equal to S for the vectors that belong to U and equal to T for vector that belong to V... But how do I get there and write a linear transformation?
 
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GrangerObliviat said:
> Admit that $V$ is a linear space about $\mathbb{R}$ and that $U$ and $W$ are subspaces of $V$. Suppose that $S: U \rightarrow Y$ and $T: W \rightarrow Y$ are two linear transformations that satisfy the property:

> $(\forall x \in U \cap W)$ $S(x)=T(x)$

> Define a linear transformation $F$: $ U+W \rightarrow Y$ that matches with S for values in U and matches with T with values in W.

My thought is to choose the linear transformation $F=S+T$ because it will be the union of both transformation, right? But now I know this is incorrect...

Can someone give an hint on how to approach the problem (without using matrices...)?

I know that the function might be equal to S for the vectors that belong to U and equal to T for vector that belong to V... But how do I get there and write a linear transformation?
A vector $x$ in $U+W$ has to be of the form $x = u+w$, where $u\in U$ and $w\in W$. The natural way to define $F$ is $F(x) = S(u) + T(w)$. The thing you have to be careful about is to show that this $F$ is well-defined. In other words, suppose that $x$ can be expressed as an element of $U+W$ in more than one way, say $x = u_1 + w_1$ and also $x = u_2 + w_2$. In order for the definition of $F$ to make sense, it should be true that both expressions for $x$ give rise to the same value for $F(x)$. So you have to show that $S(u_1) + T(w_1) = S(u_2) + T(w_2).$ Can you do that?
 
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I am studying the mathematical formalism behind non-commutative geometry approach to quantum gravity. I was reading about Hopf algebras and their Drinfeld twist with a specific example of the Moyal-Weyl twist defined as F=exp(-iλ/2θ^(μν)∂_μ⊗∂_ν) where λ is a constant parametar and θ antisymmetric constant tensor. {∂_μ} is the basis of the tangent vector space over the underlying spacetime Now, from my understanding the enveloping algebra which appears in the definition of the Hopf algebra...

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