Find Lipschtiz constant for a function in matrix












0














I have the following function in $X in R^{n times k}$



$$f(X) = -4A XLambda_1 + 4(XLambda_1 X^T XLambda_1) - 4A^TXYLambda_2Y^T + 4XYLambda_2Y^TX^TXYLambda_2Y^T$$



where $A in R^{n times n}$, $Y in R^{k times k1}$, $Lambda_1 in R^{k times k}$ and $Lambda_2 in R^{k1 times k1}$, and $Lambda_1 , Lambda_2$ are diagonal matrices. How can I find Lipschitz constant of the above function with respect to frobenious norm? Would it be possible to find local Lipschitz constant I know ||X||? The f function is gradient with respect to X and I am trying to do a gradient descent, so, I will have bounds on ||X||.










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  • 1




    There is no global Lipschitz constant for $f$.
    – copper.hat
    Nov 19 '18 at 0:28










  • @copper.hat Why is there no global Lipschitz?
    – Dushyant Sahoo
    Nov 19 '18 at 1:05










  • Well, it depends on the actual values of the matrices above, but consider the formula for scalars, there is an $X^3$ term which is not Lipschitz.
    – copper.hat
    Nov 19 '18 at 1:11










  • @copper.hat What if I know ||X||? The $f$ function is gradient with respect to $X$ and I am trying to do a gradient descent, so, I will have bounds on ||X||.
    – Dushyant Sahoo
    Nov 19 '18 at 1:31






  • 1




    I don't know what to say. In general, the function is not globally Lipschitz. On any bounded set you can find a local Lipschitz constant. One way is to find the derivative of $f$ with respect to $X$ and bound the derivative.
    – copper.hat
    Nov 19 '18 at 1:55
















0














I have the following function in $X in R^{n times k}$



$$f(X) = -4A XLambda_1 + 4(XLambda_1 X^T XLambda_1) - 4A^TXYLambda_2Y^T + 4XYLambda_2Y^TX^TXYLambda_2Y^T$$



where $A in R^{n times n}$, $Y in R^{k times k1}$, $Lambda_1 in R^{k times k}$ and $Lambda_2 in R^{k1 times k1}$, and $Lambda_1 , Lambda_2$ are diagonal matrices. How can I find Lipschitz constant of the above function with respect to frobenious norm? Would it be possible to find local Lipschitz constant I know ||X||? The f function is gradient with respect to X and I am trying to do a gradient descent, so, I will have bounds on ||X||.










share|cite|improve this question




















  • 1




    There is no global Lipschitz constant for $f$.
    – copper.hat
    Nov 19 '18 at 0:28










  • @copper.hat Why is there no global Lipschitz?
    – Dushyant Sahoo
    Nov 19 '18 at 1:05










  • Well, it depends on the actual values of the matrices above, but consider the formula for scalars, there is an $X^3$ term which is not Lipschitz.
    – copper.hat
    Nov 19 '18 at 1:11










  • @copper.hat What if I know ||X||? The $f$ function is gradient with respect to $X$ and I am trying to do a gradient descent, so, I will have bounds on ||X||.
    – Dushyant Sahoo
    Nov 19 '18 at 1:31






  • 1




    I don't know what to say. In general, the function is not globally Lipschitz. On any bounded set you can find a local Lipschitz constant. One way is to find the derivative of $f$ with respect to $X$ and bound the derivative.
    – copper.hat
    Nov 19 '18 at 1:55














0












0








0







I have the following function in $X in R^{n times k}$



$$f(X) = -4A XLambda_1 + 4(XLambda_1 X^T XLambda_1) - 4A^TXYLambda_2Y^T + 4XYLambda_2Y^TX^TXYLambda_2Y^T$$



where $A in R^{n times n}$, $Y in R^{k times k1}$, $Lambda_1 in R^{k times k}$ and $Lambda_2 in R^{k1 times k1}$, and $Lambda_1 , Lambda_2$ are diagonal matrices. How can I find Lipschitz constant of the above function with respect to frobenious norm? Would it be possible to find local Lipschitz constant I know ||X||? The f function is gradient with respect to X and I am trying to do a gradient descent, so, I will have bounds on ||X||.










share|cite|improve this question















I have the following function in $X in R^{n times k}$



$$f(X) = -4A XLambda_1 + 4(XLambda_1 X^T XLambda_1) - 4A^TXYLambda_2Y^T + 4XYLambda_2Y^TX^TXYLambda_2Y^T$$



where $A in R^{n times n}$, $Y in R^{k times k1}$, $Lambda_1 in R^{k times k}$ and $Lambda_2 in R^{k1 times k1}$, and $Lambda_1 , Lambda_2$ are diagonal matrices. How can I find Lipschitz constant of the above function with respect to frobenious norm? Would it be possible to find local Lipschitz constant I know ||X||? The f function is gradient with respect to X and I am trying to do a gradient descent, so, I will have bounds on ||X||.







matrices analysis lipschitz-functions






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share|cite|improve this question













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share|cite|improve this question








edited Nov 19 '18 at 2:04

























asked Nov 19 '18 at 0:25









Dushyant Sahoo

528




528








  • 1




    There is no global Lipschitz constant for $f$.
    – copper.hat
    Nov 19 '18 at 0:28










  • @copper.hat Why is there no global Lipschitz?
    – Dushyant Sahoo
    Nov 19 '18 at 1:05










  • Well, it depends on the actual values of the matrices above, but consider the formula for scalars, there is an $X^3$ term which is not Lipschitz.
    – copper.hat
    Nov 19 '18 at 1:11










  • @copper.hat What if I know ||X||? The $f$ function is gradient with respect to $X$ and I am trying to do a gradient descent, so, I will have bounds on ||X||.
    – Dushyant Sahoo
    Nov 19 '18 at 1:31






  • 1




    I don't know what to say. In general, the function is not globally Lipschitz. On any bounded set you can find a local Lipschitz constant. One way is to find the derivative of $f$ with respect to $X$ and bound the derivative.
    – copper.hat
    Nov 19 '18 at 1:55














  • 1




    There is no global Lipschitz constant for $f$.
    – copper.hat
    Nov 19 '18 at 0:28










  • @copper.hat Why is there no global Lipschitz?
    – Dushyant Sahoo
    Nov 19 '18 at 1:05










  • Well, it depends on the actual values of the matrices above, but consider the formula for scalars, there is an $X^3$ term which is not Lipschitz.
    – copper.hat
    Nov 19 '18 at 1:11










  • @copper.hat What if I know ||X||? The $f$ function is gradient with respect to $X$ and I am trying to do a gradient descent, so, I will have bounds on ||X||.
    – Dushyant Sahoo
    Nov 19 '18 at 1:31






  • 1




    I don't know what to say. In general, the function is not globally Lipschitz. On any bounded set you can find a local Lipschitz constant. One way is to find the derivative of $f$ with respect to $X$ and bound the derivative.
    – copper.hat
    Nov 19 '18 at 1:55








1




1




There is no global Lipschitz constant for $f$.
– copper.hat
Nov 19 '18 at 0:28




There is no global Lipschitz constant for $f$.
– copper.hat
Nov 19 '18 at 0:28












@copper.hat Why is there no global Lipschitz?
– Dushyant Sahoo
Nov 19 '18 at 1:05




@copper.hat Why is there no global Lipschitz?
– Dushyant Sahoo
Nov 19 '18 at 1:05












Well, it depends on the actual values of the matrices above, but consider the formula for scalars, there is an $X^3$ term which is not Lipschitz.
– copper.hat
Nov 19 '18 at 1:11




Well, it depends on the actual values of the matrices above, but consider the formula for scalars, there is an $X^3$ term which is not Lipschitz.
– copper.hat
Nov 19 '18 at 1:11












@copper.hat What if I know ||X||? The $f$ function is gradient with respect to $X$ and I am trying to do a gradient descent, so, I will have bounds on ||X||.
– Dushyant Sahoo
Nov 19 '18 at 1:31




@copper.hat What if I know ||X||? The $f$ function is gradient with respect to $X$ and I am trying to do a gradient descent, so, I will have bounds on ||X||.
– Dushyant Sahoo
Nov 19 '18 at 1:31




1




1




I don't know what to say. In general, the function is not globally Lipschitz. On any bounded set you can find a local Lipschitz constant. One way is to find the derivative of $f$ with respect to $X$ and bound the derivative.
– copper.hat
Nov 19 '18 at 1:55




I don't know what to say. In general, the function is not globally Lipschitz. On any bounded set you can find a local Lipschitz constant. One way is to find the derivative of $f$ with respect to $X$ and bound the derivative.
– copper.hat
Nov 19 '18 at 1:55















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