No problem at all, happy to help! Have a great weekend as well.

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The discussion centers on the interpretation of Dirac's equation (21) in quantum mechanics, specifically regarding the placement of the identity operator in the sum. The identity operator, denoted as ##\hat{1}##, is confirmed to be outside the sum, clarifying that the sum over the eigenvectors results in the identity operator. The observable ##\xi## can be expressed as a sum of its orthonormal eigenvectors ##\{ |r \rangle \}## and corresponding eigenvalues ##c_r##. The resolution of the identity is emphasized, illustrating how any vector can be expanded in the ##|r \rangle## basis using the identity operator.

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I was reading Dirac's "The principle of QM" and bit of confused.
In equation (21) does the number 1 in the sum or outside of the sum? If out side how come the sum over r is 1? X function is the quotient when the factors diveded by single one factor. for example if a*b*c*d then X_b is a*c*d
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1 is outside the sum, and it should be the identity operator, not a number (but this is a very common abuse of notation).

An observable (Hermitian operator) ##\xi## can be decomposed as a sum ##\xi = \sum_r c_r |r\rangle \langle r|## of its orthonormal eigenvectors ##\{ |r \rangle \}## written as projection operators ##|r\rangle \langle r|##, and eigenvalues ##c_r##.

What Dirac is doing is the converse. How can we write each projection operator as a function of ##\xi## ? Let's first look at $$\chi_r (\xi) = \prod_{q \neq r} ( \xi - c_q \hat{1}), $$ where ##\hat{1}## is the identity operator. Each term in the product annihilates ## | q \rangle ## i.e. ## (\xi - c_q \hat{1} )|q \rangle = 0##. So it is easy to see in the basis in which ## \xi ## is diagonalized that ##\chi_r (\xi)## has a bunch of zeros in the diagonal. In fact, the only vector not annihilated by ##\chi_r (\xi)## is ##|r\rangle. ## Moreover, $$\chi_r (\xi) = \prod_{q \neq r} (c_r - c_q)|r\rangle \langle r|.$$ Note that ##|r\rangle \langle r|## could be inside or outside the product. It doesn't matter, because ##(|r\rangle \langle r|)^2 = |r\rangle \langle r| ##. Therefore, \begin{aligned} \frac{\chi_r (\xi) }{\chi_r (c_r)} &= |r \rangle \langle r| \\ \sum_r \frac{\chi_r (\xi) }{\chi_r (c_r)} &= \hat{1}, \end{aligned} where I used the fact that ##\{ |r\rangle \}## forms a resolution of the identity in the last line.

Perhaps an easier way to say all of this is that, whenever we have the resolution of the identity ##\sum_r |r\rangle \langle r| = \hat{1}##, we can expand any vector in the ##|r \rangle ## basis by inserting the identity $$ |P\rangle = \hat{1} |P\rangle = \sum_r \langle r|P \rangle |r\rangle. $$
 
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Truecrimson said:
1 is outside the sum, and it should be the identity operator, not a number (but this is a very common abuse of notation).

An observable (Hermitian operator) ##\xi## can be decomposed as a sum ##\xi = \sum_r c_r |r\rangle \langle r|## of its orthonormal eigenvectors ##\{ |r \rangle \}## written as projection operators ##|r\rangle \langle r|##, and eigenvalues ##c_r##.

What Dirac is doing is the converse. How can we write each projection operator as a function of ##\xi## ? Let's first look at $$\chi_r (\xi) = \prod_{q \neq r} ( \xi - c_q \hat{1}), $$ where ##\hat{1}## is the identity operator. Each term in the product annihilates ## | q \rangle ## i.e. ## (\xi - c_q \hat{1} )|q \rangle = 0##. So it is easy to see in the basis in which ## \xi ## is diagonalized that ##\chi_r (\xi)## has a bunch of zeros in the diagonal. In fact, the only vector not annihilated by ##\chi_r (\xi)## is ##|r\rangle. ## Moreover, $$\chi_r (\xi) = \prod_{q \neq r} (c_r - c_q)|r\rangle \langle r|.$$ Note that ##|r\rangle \langle r|## could be inside or outside the product. It doesn't matter, because ##(|r\rangle \langle r|)^2 = |r\rangle \langle r| ##. Therefore, \begin{aligned} \frac{\chi_r (\xi) }{\chi_r (c_r)} &= |r \rangle \langle r| \\ \sum_r \frac{\chi_r (\xi) }{\chi_r (c_r)} &= \hat{1}, \end{aligned} where I used the fact that ##\{ |r\rangle \}## forms a resolution of the identity in the last line.

Perhaps an easier way to say all of this is that, whenever we have the resolution of the identity ##\sum_r |r\rangle \langle r| = \hat{1}##, we can expand any vector in the ##|r \rangle ## basis by inserting the identity $$ |P\rangle = \hat{1} |P\rangle = \sum_r \langle r|P \rangle |r\rangle. $$
That was great answer. Thank you so much for the help and time. Sorry to bother you with such trivial question. have a good weekend.
 

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