Understanding Inner Product for Work: Solving Homework Problems

AI Thread Summary
The discussion centers on understanding the role of the transpose in inner product spaces, particularly in the context of a specific homework problem. It clarifies that the transpose, or adjoint, of a linear operator is defined through the relationship <u, Av> = <A^Tu, v>. The equation in question, 3.3, illustrates that <Au, Av> can be expressed as <A^T(Au), v>. This highlights the importance of the transpose in transforming inner products involving linear operators. The explanation aims to clarify the mathematical principles behind the operations in the homework problem.
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Homework Statement



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Homework Equations





The Attempt at a Solution



can someone explain where that transpose came from in (3.3)?
 
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In any inner product space the "transpose" (more generally, "adjoint") of a linear operator is defined by &lt;u, Av&gt;= &lt;A^Tu, v&gt;.

3.3 is just saying that &lt;Au, Av&gt;= &lt;A^T(Au), v&gt;
 
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