Finding $limlimits_{ε→0}(mathbf A^Tmathbf A+εmathbf I) ^{-1} mathbf A^T$












0












$begingroup$


I am given a problem to find$$lim_{ε→0}(mathbf A^Tmathbf A+εmathbf I)^{-1}mathbf A^T.$$
It is fairly obvious that it reduces to $(mathbf A^Tmathbf A)^{-1}mathbf A^T$, but I am not sure I can say anything meaningful beyond that. I tried plugging in some values to MATLAB, just to see if I can notice a pattern, but other than returning some "close to singular" errors when I take the inverse of a matrix, I do not see anything that stands out.



Is there something obvious I am missing here?










share|cite|improve this question











$endgroup$












  • $begingroup$
    Are you familiar with Singular Value Decomposition?
    $endgroup$
    – JimmyK4542
    Dec 6 '18 at 2:46










  • $begingroup$
    You can compute the inverse explicitly from the SVD, which is exactly what showed up in the answer to your previous question. The largest singular value is then 1/eps and this blows up
    $endgroup$
    – whpowell96
    Dec 6 '18 at 3:39










  • $begingroup$
    I know you can compute the inverse explicitly, but the problem is in an abstract form. I'm asked to find the limit of the expression, which reduces to $textbf{A}^Htextbf{A})^{-1}textbf{A}^T$. I am not sure where to go from here - I'm assuming this expression reduces further to something obvious but am not sure what that is.
    $endgroup$
    – W. MacTurk
    Dec 6 '18 at 4:42








  • 2




    $begingroup$
    $A^TA$ is not necessarily invertible. The expression in question is a well-known limit expression for the Moore-Penrose inverse of $A$.
    $endgroup$
    – user1551
    Dec 6 '18 at 5:12
















0












$begingroup$


I am given a problem to find$$lim_{ε→0}(mathbf A^Tmathbf A+εmathbf I)^{-1}mathbf A^T.$$
It is fairly obvious that it reduces to $(mathbf A^Tmathbf A)^{-1}mathbf A^T$, but I am not sure I can say anything meaningful beyond that. I tried plugging in some values to MATLAB, just to see if I can notice a pattern, but other than returning some "close to singular" errors when I take the inverse of a matrix, I do not see anything that stands out.



Is there something obvious I am missing here?










share|cite|improve this question











$endgroup$












  • $begingroup$
    Are you familiar with Singular Value Decomposition?
    $endgroup$
    – JimmyK4542
    Dec 6 '18 at 2:46










  • $begingroup$
    You can compute the inverse explicitly from the SVD, which is exactly what showed up in the answer to your previous question. The largest singular value is then 1/eps and this blows up
    $endgroup$
    – whpowell96
    Dec 6 '18 at 3:39










  • $begingroup$
    I know you can compute the inverse explicitly, but the problem is in an abstract form. I'm asked to find the limit of the expression, which reduces to $textbf{A}^Htextbf{A})^{-1}textbf{A}^T$. I am not sure where to go from here - I'm assuming this expression reduces further to something obvious but am not sure what that is.
    $endgroup$
    – W. MacTurk
    Dec 6 '18 at 4:42








  • 2




    $begingroup$
    $A^TA$ is not necessarily invertible. The expression in question is a well-known limit expression for the Moore-Penrose inverse of $A$.
    $endgroup$
    – user1551
    Dec 6 '18 at 5:12














0












0








0





$begingroup$


I am given a problem to find$$lim_{ε→0}(mathbf A^Tmathbf A+εmathbf I)^{-1}mathbf A^T.$$
It is fairly obvious that it reduces to $(mathbf A^Tmathbf A)^{-1}mathbf A^T$, but I am not sure I can say anything meaningful beyond that. I tried plugging in some values to MATLAB, just to see if I can notice a pattern, but other than returning some "close to singular" errors when I take the inverse of a matrix, I do not see anything that stands out.



Is there something obvious I am missing here?










share|cite|improve this question











$endgroup$




I am given a problem to find$$lim_{ε→0}(mathbf A^Tmathbf A+εmathbf I)^{-1}mathbf A^T.$$
It is fairly obvious that it reduces to $(mathbf A^Tmathbf A)^{-1}mathbf A^T$, but I am not sure I can say anything meaningful beyond that. I tried plugging in some values to MATLAB, just to see if I can notice a pattern, but other than returning some "close to singular" errors when I take the inverse of a matrix, I do not see anything that stands out.



Is there something obvious I am missing here?







linear-algebra limits






share|cite|improve this question















share|cite|improve this question













share|cite|improve this question




share|cite|improve this question








edited Dec 6 '18 at 6:44







W. MacTurk

















asked Dec 6 '18 at 2:40









W. MacTurkW. MacTurk

105




105












  • $begingroup$
    Are you familiar with Singular Value Decomposition?
    $endgroup$
    – JimmyK4542
    Dec 6 '18 at 2:46










  • $begingroup$
    You can compute the inverse explicitly from the SVD, which is exactly what showed up in the answer to your previous question. The largest singular value is then 1/eps and this blows up
    $endgroup$
    – whpowell96
    Dec 6 '18 at 3:39










  • $begingroup$
    I know you can compute the inverse explicitly, but the problem is in an abstract form. I'm asked to find the limit of the expression, which reduces to $textbf{A}^Htextbf{A})^{-1}textbf{A}^T$. I am not sure where to go from here - I'm assuming this expression reduces further to something obvious but am not sure what that is.
    $endgroup$
    – W. MacTurk
    Dec 6 '18 at 4:42








  • 2




    $begingroup$
    $A^TA$ is not necessarily invertible. The expression in question is a well-known limit expression for the Moore-Penrose inverse of $A$.
    $endgroup$
    – user1551
    Dec 6 '18 at 5:12


















  • $begingroup$
    Are you familiar with Singular Value Decomposition?
    $endgroup$
    – JimmyK4542
    Dec 6 '18 at 2:46










  • $begingroup$
    You can compute the inverse explicitly from the SVD, which is exactly what showed up in the answer to your previous question. The largest singular value is then 1/eps and this blows up
    $endgroup$
    – whpowell96
    Dec 6 '18 at 3:39










  • $begingroup$
    I know you can compute the inverse explicitly, but the problem is in an abstract form. I'm asked to find the limit of the expression, which reduces to $textbf{A}^Htextbf{A})^{-1}textbf{A}^T$. I am not sure where to go from here - I'm assuming this expression reduces further to something obvious but am not sure what that is.
    $endgroup$
    – W. MacTurk
    Dec 6 '18 at 4:42








  • 2




    $begingroup$
    $A^TA$ is not necessarily invertible. The expression in question is a well-known limit expression for the Moore-Penrose inverse of $A$.
    $endgroup$
    – user1551
    Dec 6 '18 at 5:12
















$begingroup$
Are you familiar with Singular Value Decomposition?
$endgroup$
– JimmyK4542
Dec 6 '18 at 2:46




$begingroup$
Are you familiar with Singular Value Decomposition?
$endgroup$
– JimmyK4542
Dec 6 '18 at 2:46












$begingroup$
You can compute the inverse explicitly from the SVD, which is exactly what showed up in the answer to your previous question. The largest singular value is then 1/eps and this blows up
$endgroup$
– whpowell96
Dec 6 '18 at 3:39




$begingroup$
You can compute the inverse explicitly from the SVD, which is exactly what showed up in the answer to your previous question. The largest singular value is then 1/eps and this blows up
$endgroup$
– whpowell96
Dec 6 '18 at 3:39












$begingroup$
I know you can compute the inverse explicitly, but the problem is in an abstract form. I'm asked to find the limit of the expression, which reduces to $textbf{A}^Htextbf{A})^{-1}textbf{A}^T$. I am not sure where to go from here - I'm assuming this expression reduces further to something obvious but am not sure what that is.
$endgroup$
– W. MacTurk
Dec 6 '18 at 4:42






$begingroup$
I know you can compute the inverse explicitly, but the problem is in an abstract form. I'm asked to find the limit of the expression, which reduces to $textbf{A}^Htextbf{A})^{-1}textbf{A}^T$. I am not sure where to go from here - I'm assuming this expression reduces further to something obvious but am not sure what that is.
$endgroup$
– W. MacTurk
Dec 6 '18 at 4:42






2




2




$begingroup$
$A^TA$ is not necessarily invertible. The expression in question is a well-known limit expression for the Moore-Penrose inverse of $A$.
$endgroup$
– user1551
Dec 6 '18 at 5:12




$begingroup$
$A^TA$ is not necessarily invertible. The expression in question is a well-known limit expression for the Moore-Penrose inverse of $A$.
$endgroup$
– user1551
Dec 6 '18 at 5:12










1 Answer
1






active

oldest

votes


















0












$begingroup$

I think I have it.



We have



$limlimits_{ε→0}(mathbf A^Tmathbf A+εmathbf I)^{-1} mathbf A^T$



Which reduces to



$(textbf{A}^Ttextbf{A})^{-1}textbf{A}^T$



Under SVD, this becomes



$(textbf{V} Sigma^{2} textbf{V}^{T})^{-1}textbf{A}^{T}$



$(textbf{V}Sigma^{-1}Sigma^{-1}textbf{V}^T)textbf{A}^T$



$(textbf{V}Sigma^{-1}Sigma^{-1}textbf{V}^T)textbf{V}Sigmatextbf{U}^T$



$textbf{V}Sigma^{-1}textbf{U}^T$



$= (textbf{A}^T){^{-1}}$






share|cite|improve this answer











$endgroup$













  • $begingroup$
    Your reduction does not make sense unless $A^TA$ is invertible.
    $endgroup$
    – Hanul Jeon
    Dec 6 '18 at 5:23










  • $begingroup$
    Sorry, it was shown in a previous part that $(mathbf A^Tmathbf A+εmathbf I)$ is invertible, and my "reduction" (though not strictly true) hold in the limit -- since the $- epsilon textbf{I}$ part vanishes in the limit, $(mathbf A^Tmathbf A)$ is infinitesimally close to $(mathbf A^Tmathbf A+εmathbf I)$ while still being invertible. I just leave off the epsilons since, in the limit, they make no contribution.
    $endgroup$
    – W. MacTurk
    Dec 6 '18 at 6:43










  • $begingroup$
    It sounds like you removed $varepsilon$ after some steps because removing it does not matter. I want to say, it does matter. We even do not know $A$ is a square matrix so the inverse could exist.
    $endgroup$
    – Hanul Jeon
    Dec 7 '18 at 5:05










  • $begingroup$
    $textbf{A}^Ttextbf{A}$ is always a square matrix, is it not?
    $endgroup$
    – W. MacTurk
    Dec 8 '18 at 6:05










  • $begingroup$
    It is right, but you finally concludes the result of your reduction is $(A^T)^{-1}$.
    $endgroup$
    – Hanul Jeon
    Dec 8 '18 at 6:07











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1 Answer
1






active

oldest

votes








1 Answer
1






active

oldest

votes









active

oldest

votes






active

oldest

votes









0












$begingroup$

I think I have it.



We have



$limlimits_{ε→0}(mathbf A^Tmathbf A+εmathbf I)^{-1} mathbf A^T$



Which reduces to



$(textbf{A}^Ttextbf{A})^{-1}textbf{A}^T$



Under SVD, this becomes



$(textbf{V} Sigma^{2} textbf{V}^{T})^{-1}textbf{A}^{T}$



$(textbf{V}Sigma^{-1}Sigma^{-1}textbf{V}^T)textbf{A}^T$



$(textbf{V}Sigma^{-1}Sigma^{-1}textbf{V}^T)textbf{V}Sigmatextbf{U}^T$



$textbf{V}Sigma^{-1}textbf{U}^T$



$= (textbf{A}^T){^{-1}}$






share|cite|improve this answer











$endgroup$













  • $begingroup$
    Your reduction does not make sense unless $A^TA$ is invertible.
    $endgroup$
    – Hanul Jeon
    Dec 6 '18 at 5:23










  • $begingroup$
    Sorry, it was shown in a previous part that $(mathbf A^Tmathbf A+εmathbf I)$ is invertible, and my "reduction" (though not strictly true) hold in the limit -- since the $- epsilon textbf{I}$ part vanishes in the limit, $(mathbf A^Tmathbf A)$ is infinitesimally close to $(mathbf A^Tmathbf A+εmathbf I)$ while still being invertible. I just leave off the epsilons since, in the limit, they make no contribution.
    $endgroup$
    – W. MacTurk
    Dec 6 '18 at 6:43










  • $begingroup$
    It sounds like you removed $varepsilon$ after some steps because removing it does not matter. I want to say, it does matter. We even do not know $A$ is a square matrix so the inverse could exist.
    $endgroup$
    – Hanul Jeon
    Dec 7 '18 at 5:05










  • $begingroup$
    $textbf{A}^Ttextbf{A}$ is always a square matrix, is it not?
    $endgroup$
    – W. MacTurk
    Dec 8 '18 at 6:05










  • $begingroup$
    It is right, but you finally concludes the result of your reduction is $(A^T)^{-1}$.
    $endgroup$
    – Hanul Jeon
    Dec 8 '18 at 6:07
















0












$begingroup$

I think I have it.



We have



$limlimits_{ε→0}(mathbf A^Tmathbf A+εmathbf I)^{-1} mathbf A^T$



Which reduces to



$(textbf{A}^Ttextbf{A})^{-1}textbf{A}^T$



Under SVD, this becomes



$(textbf{V} Sigma^{2} textbf{V}^{T})^{-1}textbf{A}^{T}$



$(textbf{V}Sigma^{-1}Sigma^{-1}textbf{V}^T)textbf{A}^T$



$(textbf{V}Sigma^{-1}Sigma^{-1}textbf{V}^T)textbf{V}Sigmatextbf{U}^T$



$textbf{V}Sigma^{-1}textbf{U}^T$



$= (textbf{A}^T){^{-1}}$






share|cite|improve this answer











$endgroup$













  • $begingroup$
    Your reduction does not make sense unless $A^TA$ is invertible.
    $endgroup$
    – Hanul Jeon
    Dec 6 '18 at 5:23










  • $begingroup$
    Sorry, it was shown in a previous part that $(mathbf A^Tmathbf A+εmathbf I)$ is invertible, and my "reduction" (though not strictly true) hold in the limit -- since the $- epsilon textbf{I}$ part vanishes in the limit, $(mathbf A^Tmathbf A)$ is infinitesimally close to $(mathbf A^Tmathbf A+εmathbf I)$ while still being invertible. I just leave off the epsilons since, in the limit, they make no contribution.
    $endgroup$
    – W. MacTurk
    Dec 6 '18 at 6:43










  • $begingroup$
    It sounds like you removed $varepsilon$ after some steps because removing it does not matter. I want to say, it does matter. We even do not know $A$ is a square matrix so the inverse could exist.
    $endgroup$
    – Hanul Jeon
    Dec 7 '18 at 5:05










  • $begingroup$
    $textbf{A}^Ttextbf{A}$ is always a square matrix, is it not?
    $endgroup$
    – W. MacTurk
    Dec 8 '18 at 6:05










  • $begingroup$
    It is right, but you finally concludes the result of your reduction is $(A^T)^{-1}$.
    $endgroup$
    – Hanul Jeon
    Dec 8 '18 at 6:07














0












0








0





$begingroup$

I think I have it.



We have



$limlimits_{ε→0}(mathbf A^Tmathbf A+εmathbf I)^{-1} mathbf A^T$



Which reduces to



$(textbf{A}^Ttextbf{A})^{-1}textbf{A}^T$



Under SVD, this becomes



$(textbf{V} Sigma^{2} textbf{V}^{T})^{-1}textbf{A}^{T}$



$(textbf{V}Sigma^{-1}Sigma^{-1}textbf{V}^T)textbf{A}^T$



$(textbf{V}Sigma^{-1}Sigma^{-1}textbf{V}^T)textbf{V}Sigmatextbf{U}^T$



$textbf{V}Sigma^{-1}textbf{U}^T$



$= (textbf{A}^T){^{-1}}$






share|cite|improve this answer











$endgroup$



I think I have it.



We have



$limlimits_{ε→0}(mathbf A^Tmathbf A+εmathbf I)^{-1} mathbf A^T$



Which reduces to



$(textbf{A}^Ttextbf{A})^{-1}textbf{A}^T$



Under SVD, this becomes



$(textbf{V} Sigma^{2} textbf{V}^{T})^{-1}textbf{A}^{T}$



$(textbf{V}Sigma^{-1}Sigma^{-1}textbf{V}^T)textbf{A}^T$



$(textbf{V}Sigma^{-1}Sigma^{-1}textbf{V}^T)textbf{V}Sigmatextbf{U}^T$



$textbf{V}Sigma^{-1}textbf{U}^T$



$= (textbf{A}^T){^{-1}}$







share|cite|improve this answer














share|cite|improve this answer



share|cite|improve this answer








edited Dec 6 '18 at 6:46

























answered Dec 6 '18 at 5:09









W. MacTurkW. MacTurk

105




105












  • $begingroup$
    Your reduction does not make sense unless $A^TA$ is invertible.
    $endgroup$
    – Hanul Jeon
    Dec 6 '18 at 5:23










  • $begingroup$
    Sorry, it was shown in a previous part that $(mathbf A^Tmathbf A+εmathbf I)$ is invertible, and my "reduction" (though not strictly true) hold in the limit -- since the $- epsilon textbf{I}$ part vanishes in the limit, $(mathbf A^Tmathbf A)$ is infinitesimally close to $(mathbf A^Tmathbf A+εmathbf I)$ while still being invertible. I just leave off the epsilons since, in the limit, they make no contribution.
    $endgroup$
    – W. MacTurk
    Dec 6 '18 at 6:43










  • $begingroup$
    It sounds like you removed $varepsilon$ after some steps because removing it does not matter. I want to say, it does matter. We even do not know $A$ is a square matrix so the inverse could exist.
    $endgroup$
    – Hanul Jeon
    Dec 7 '18 at 5:05










  • $begingroup$
    $textbf{A}^Ttextbf{A}$ is always a square matrix, is it not?
    $endgroup$
    – W. MacTurk
    Dec 8 '18 at 6:05










  • $begingroup$
    It is right, but you finally concludes the result of your reduction is $(A^T)^{-1}$.
    $endgroup$
    – Hanul Jeon
    Dec 8 '18 at 6:07


















  • $begingroup$
    Your reduction does not make sense unless $A^TA$ is invertible.
    $endgroup$
    – Hanul Jeon
    Dec 6 '18 at 5:23










  • $begingroup$
    Sorry, it was shown in a previous part that $(mathbf A^Tmathbf A+εmathbf I)$ is invertible, and my "reduction" (though not strictly true) hold in the limit -- since the $- epsilon textbf{I}$ part vanishes in the limit, $(mathbf A^Tmathbf A)$ is infinitesimally close to $(mathbf A^Tmathbf A+εmathbf I)$ while still being invertible. I just leave off the epsilons since, in the limit, they make no contribution.
    $endgroup$
    – W. MacTurk
    Dec 6 '18 at 6:43










  • $begingroup$
    It sounds like you removed $varepsilon$ after some steps because removing it does not matter. I want to say, it does matter. We even do not know $A$ is a square matrix so the inverse could exist.
    $endgroup$
    – Hanul Jeon
    Dec 7 '18 at 5:05










  • $begingroup$
    $textbf{A}^Ttextbf{A}$ is always a square matrix, is it not?
    $endgroup$
    – W. MacTurk
    Dec 8 '18 at 6:05










  • $begingroup$
    It is right, but you finally concludes the result of your reduction is $(A^T)^{-1}$.
    $endgroup$
    – Hanul Jeon
    Dec 8 '18 at 6:07
















$begingroup$
Your reduction does not make sense unless $A^TA$ is invertible.
$endgroup$
– Hanul Jeon
Dec 6 '18 at 5:23




$begingroup$
Your reduction does not make sense unless $A^TA$ is invertible.
$endgroup$
– Hanul Jeon
Dec 6 '18 at 5:23












$begingroup$
Sorry, it was shown in a previous part that $(mathbf A^Tmathbf A+εmathbf I)$ is invertible, and my "reduction" (though not strictly true) hold in the limit -- since the $- epsilon textbf{I}$ part vanishes in the limit, $(mathbf A^Tmathbf A)$ is infinitesimally close to $(mathbf A^Tmathbf A+εmathbf I)$ while still being invertible. I just leave off the epsilons since, in the limit, they make no contribution.
$endgroup$
– W. MacTurk
Dec 6 '18 at 6:43




$begingroup$
Sorry, it was shown in a previous part that $(mathbf A^Tmathbf A+εmathbf I)$ is invertible, and my "reduction" (though not strictly true) hold in the limit -- since the $- epsilon textbf{I}$ part vanishes in the limit, $(mathbf A^Tmathbf A)$ is infinitesimally close to $(mathbf A^Tmathbf A+εmathbf I)$ while still being invertible. I just leave off the epsilons since, in the limit, they make no contribution.
$endgroup$
– W. MacTurk
Dec 6 '18 at 6:43












$begingroup$
It sounds like you removed $varepsilon$ after some steps because removing it does not matter. I want to say, it does matter. We even do not know $A$ is a square matrix so the inverse could exist.
$endgroup$
– Hanul Jeon
Dec 7 '18 at 5:05




$begingroup$
It sounds like you removed $varepsilon$ after some steps because removing it does not matter. I want to say, it does matter. We even do not know $A$ is a square matrix so the inverse could exist.
$endgroup$
– Hanul Jeon
Dec 7 '18 at 5:05












$begingroup$
$textbf{A}^Ttextbf{A}$ is always a square matrix, is it not?
$endgroup$
– W. MacTurk
Dec 8 '18 at 6:05




$begingroup$
$textbf{A}^Ttextbf{A}$ is always a square matrix, is it not?
$endgroup$
– W. MacTurk
Dec 8 '18 at 6:05












$begingroup$
It is right, but you finally concludes the result of your reduction is $(A^T)^{-1}$.
$endgroup$
– Hanul Jeon
Dec 8 '18 at 6:07




$begingroup$
It is right, but you finally concludes the result of your reduction is $(A^T)^{-1}$.
$endgroup$
– Hanul Jeon
Dec 8 '18 at 6:07


















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