Show that the map $A mapsto AA^{T}$ is continuous. [closed]












0














Let $M$ be the set of all $n times n$ matrices. Show that the map $f : M longrightarrow M$ given by $f(A) = AA^{T}, A in M$ is continuous.



How do I prove it? Please help me in this regard.



Thank you very much.










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closed as off-topic by Eevee Trainer, mrtaurho, Saad, metamorphy, José Carlos Santos Jan 1 at 15:39


This question appears to be off-topic. The users who voted to close gave this specific reason:


  • "This question is missing context or other details: Please provide additional context, which ideally explains why the question is relevant to you and our community. Some forms of context include: background and motivation, relevant definitions, source, possible strategies, your current progress, why the question is interesting or important, etc." – Eevee Trainer, mrtaurho, Saad, metamorphy, José Carlos Santos

If this question can be reworded to fit the rules in the help center, please edit the question.









  • 1




    Hint: write the product as a polynomial and use that fact that polynomials are everywhere continuous.
    – Sean Roberson
    Jan 1 at 6:46
















0














Let $M$ be the set of all $n times n$ matrices. Show that the map $f : M longrightarrow M$ given by $f(A) = AA^{T}, A in M$ is continuous.



How do I prove it? Please help me in this regard.



Thank you very much.










share|cite|improve this question













closed as off-topic by Eevee Trainer, mrtaurho, Saad, metamorphy, José Carlos Santos Jan 1 at 15:39


This question appears to be off-topic. The users who voted to close gave this specific reason:


  • "This question is missing context or other details: Please provide additional context, which ideally explains why the question is relevant to you and our community. Some forms of context include: background and motivation, relevant definitions, source, possible strategies, your current progress, why the question is interesting or important, etc." – Eevee Trainer, mrtaurho, Saad, metamorphy, José Carlos Santos

If this question can be reworded to fit the rules in the help center, please edit the question.









  • 1




    Hint: write the product as a polynomial and use that fact that polynomials are everywhere continuous.
    – Sean Roberson
    Jan 1 at 6:46














0












0








0







Let $M$ be the set of all $n times n$ matrices. Show that the map $f : M longrightarrow M$ given by $f(A) = AA^{T}, A in M$ is continuous.



How do I prove it? Please help me in this regard.



Thank you very much.










share|cite|improve this question













Let $M$ be the set of all $n times n$ matrices. Show that the map $f : M longrightarrow M$ given by $f(A) = AA^{T}, A in M$ is continuous.



How do I prove it? Please help me in this regard.



Thank you very much.







matrices continuity






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share|cite|improve this question











share|cite|improve this question




share|cite|improve this question










asked Jan 1 at 6:43









math maniac.math maniac.

265




265




closed as off-topic by Eevee Trainer, mrtaurho, Saad, metamorphy, José Carlos Santos Jan 1 at 15:39


This question appears to be off-topic. The users who voted to close gave this specific reason:


  • "This question is missing context or other details: Please provide additional context, which ideally explains why the question is relevant to you and our community. Some forms of context include: background and motivation, relevant definitions, source, possible strategies, your current progress, why the question is interesting or important, etc." – Eevee Trainer, mrtaurho, Saad, metamorphy, José Carlos Santos

If this question can be reworded to fit the rules in the help center, please edit the question.




closed as off-topic by Eevee Trainer, mrtaurho, Saad, metamorphy, José Carlos Santos Jan 1 at 15:39


This question appears to be off-topic. The users who voted to close gave this specific reason:


  • "This question is missing context or other details: Please provide additional context, which ideally explains why the question is relevant to you and our community. Some forms of context include: background and motivation, relevant definitions, source, possible strategies, your current progress, why the question is interesting or important, etc." – Eevee Trainer, mrtaurho, Saad, metamorphy, José Carlos Santos

If this question can be reworded to fit the rules in the help center, please edit the question.








  • 1




    Hint: write the product as a polynomial and use that fact that polynomials are everywhere continuous.
    – Sean Roberson
    Jan 1 at 6:46














  • 1




    Hint: write the product as a polynomial and use that fact that polynomials are everywhere continuous.
    – Sean Roberson
    Jan 1 at 6:46








1




1




Hint: write the product as a polynomial and use that fact that polynomials are everywhere continuous.
– Sean Roberson
Jan 1 at 6:46




Hint: write the product as a polynomial and use that fact that polynomials are everywhere continuous.
– Sean Roberson
Jan 1 at 6:46










1 Answer
1






active

oldest

votes


















4














Hint: Observe
begin{align}
| AA^T-BB^T| = |AA^T-AB^T+AB^T-BB^T| leq (|A|+|B|)|A-B|
end{align}

then the remaining of the proof follows the same idea as showing $x^2$ is continuous from the definition.






share|cite|improve this answer























  • You use Euclidean norm. Right?
    – math maniac.
    Jan 1 at 6:59










  • You are saying that $|f(X)-f(A)| le (|X|+|A|)|X-A|.$ Now suppose we want to make $|f(X)-f(A)| < epsilon$ then which $delta >0$ should I take such that whenever $|X-A| < delta,$ $|f(X) - f(A) | < epsilon$ ?
    – math maniac.
    Jan 1 at 7:06












  • Whenever $|X-A| < delta$ then $|X| < |A| + delta$ by reverse triangle inequality. But then $|f(X)-f(A)| < {delta}^2 + 2|A| delta.$ We may take $0 < delta < 1$. But then ${delta}^2 < delta.$ Then $|f(X)-f(A)| < (2 |A| + 1) delta < epsilon$ if $delta le frac {epsilon} {2|A| + 1}.$
    – math maniac.
    Jan 1 at 7:16










  • So we should take $delta = min left {1,frac {epsilon} {2|A| +1} right }$. That will suit our purpose. Am I right?
    – math maniac.
    Jan 1 at 7:20












  • We can take any norm. Not necessarily Euclidean norm. That's because any two norms on $Bbb R^4$ are equivalent.
    – Dbchatto67
    Jan 1 at 7:45




















1 Answer
1






active

oldest

votes








1 Answer
1






active

oldest

votes









active

oldest

votes






active

oldest

votes









4














Hint: Observe
begin{align}
| AA^T-BB^T| = |AA^T-AB^T+AB^T-BB^T| leq (|A|+|B|)|A-B|
end{align}

then the remaining of the proof follows the same idea as showing $x^2$ is continuous from the definition.






share|cite|improve this answer























  • You use Euclidean norm. Right?
    – math maniac.
    Jan 1 at 6:59










  • You are saying that $|f(X)-f(A)| le (|X|+|A|)|X-A|.$ Now suppose we want to make $|f(X)-f(A)| < epsilon$ then which $delta >0$ should I take such that whenever $|X-A| < delta,$ $|f(X) - f(A) | < epsilon$ ?
    – math maniac.
    Jan 1 at 7:06












  • Whenever $|X-A| < delta$ then $|X| < |A| + delta$ by reverse triangle inequality. But then $|f(X)-f(A)| < {delta}^2 + 2|A| delta.$ We may take $0 < delta < 1$. But then ${delta}^2 < delta.$ Then $|f(X)-f(A)| < (2 |A| + 1) delta < epsilon$ if $delta le frac {epsilon} {2|A| + 1}.$
    – math maniac.
    Jan 1 at 7:16










  • So we should take $delta = min left {1,frac {epsilon} {2|A| +1} right }$. That will suit our purpose. Am I right?
    – math maniac.
    Jan 1 at 7:20












  • We can take any norm. Not necessarily Euclidean norm. That's because any two norms on $Bbb R^4$ are equivalent.
    – Dbchatto67
    Jan 1 at 7:45


















4














Hint: Observe
begin{align}
| AA^T-BB^T| = |AA^T-AB^T+AB^T-BB^T| leq (|A|+|B|)|A-B|
end{align}

then the remaining of the proof follows the same idea as showing $x^2$ is continuous from the definition.






share|cite|improve this answer























  • You use Euclidean norm. Right?
    – math maniac.
    Jan 1 at 6:59










  • You are saying that $|f(X)-f(A)| le (|X|+|A|)|X-A|.$ Now suppose we want to make $|f(X)-f(A)| < epsilon$ then which $delta >0$ should I take such that whenever $|X-A| < delta,$ $|f(X) - f(A) | < epsilon$ ?
    – math maniac.
    Jan 1 at 7:06












  • Whenever $|X-A| < delta$ then $|X| < |A| + delta$ by reverse triangle inequality. But then $|f(X)-f(A)| < {delta}^2 + 2|A| delta.$ We may take $0 < delta < 1$. But then ${delta}^2 < delta.$ Then $|f(X)-f(A)| < (2 |A| + 1) delta < epsilon$ if $delta le frac {epsilon} {2|A| + 1}.$
    – math maniac.
    Jan 1 at 7:16










  • So we should take $delta = min left {1,frac {epsilon} {2|A| +1} right }$. That will suit our purpose. Am I right?
    – math maniac.
    Jan 1 at 7:20












  • We can take any norm. Not necessarily Euclidean norm. That's because any two norms on $Bbb R^4$ are equivalent.
    – Dbchatto67
    Jan 1 at 7:45
















4












4








4






Hint: Observe
begin{align}
| AA^T-BB^T| = |AA^T-AB^T+AB^T-BB^T| leq (|A|+|B|)|A-B|
end{align}

then the remaining of the proof follows the same idea as showing $x^2$ is continuous from the definition.






share|cite|improve this answer














Hint: Observe
begin{align}
| AA^T-BB^T| = |AA^T-AB^T+AB^T-BB^T| leq (|A|+|B|)|A-B|
end{align}

then the remaining of the proof follows the same idea as showing $x^2$ is continuous from the definition.







share|cite|improve this answer














share|cite|improve this answer



share|cite|improve this answer








edited Jan 1 at 8:44

























answered Jan 1 at 6:47









Jacky ChongJacky Chong

17.8k21128




17.8k21128












  • You use Euclidean norm. Right?
    – math maniac.
    Jan 1 at 6:59










  • You are saying that $|f(X)-f(A)| le (|X|+|A|)|X-A|.$ Now suppose we want to make $|f(X)-f(A)| < epsilon$ then which $delta >0$ should I take such that whenever $|X-A| < delta,$ $|f(X) - f(A) | < epsilon$ ?
    – math maniac.
    Jan 1 at 7:06












  • Whenever $|X-A| < delta$ then $|X| < |A| + delta$ by reverse triangle inequality. But then $|f(X)-f(A)| < {delta}^2 + 2|A| delta.$ We may take $0 < delta < 1$. But then ${delta}^2 < delta.$ Then $|f(X)-f(A)| < (2 |A| + 1) delta < epsilon$ if $delta le frac {epsilon} {2|A| + 1}.$
    – math maniac.
    Jan 1 at 7:16










  • So we should take $delta = min left {1,frac {epsilon} {2|A| +1} right }$. That will suit our purpose. Am I right?
    – math maniac.
    Jan 1 at 7:20












  • We can take any norm. Not necessarily Euclidean norm. That's because any two norms on $Bbb R^4$ are equivalent.
    – Dbchatto67
    Jan 1 at 7:45




















  • You use Euclidean norm. Right?
    – math maniac.
    Jan 1 at 6:59










  • You are saying that $|f(X)-f(A)| le (|X|+|A|)|X-A|.$ Now suppose we want to make $|f(X)-f(A)| < epsilon$ then which $delta >0$ should I take such that whenever $|X-A| < delta,$ $|f(X) - f(A) | < epsilon$ ?
    – math maniac.
    Jan 1 at 7:06












  • Whenever $|X-A| < delta$ then $|X| < |A| + delta$ by reverse triangle inequality. But then $|f(X)-f(A)| < {delta}^2 + 2|A| delta.$ We may take $0 < delta < 1$. But then ${delta}^2 < delta.$ Then $|f(X)-f(A)| < (2 |A| + 1) delta < epsilon$ if $delta le frac {epsilon} {2|A| + 1}.$
    – math maniac.
    Jan 1 at 7:16










  • So we should take $delta = min left {1,frac {epsilon} {2|A| +1} right }$. That will suit our purpose. Am I right?
    – math maniac.
    Jan 1 at 7:20












  • We can take any norm. Not necessarily Euclidean norm. That's because any two norms on $Bbb R^4$ are equivalent.
    – Dbchatto67
    Jan 1 at 7:45


















You use Euclidean norm. Right?
– math maniac.
Jan 1 at 6:59




You use Euclidean norm. Right?
– math maniac.
Jan 1 at 6:59












You are saying that $|f(X)-f(A)| le (|X|+|A|)|X-A|.$ Now suppose we want to make $|f(X)-f(A)| < epsilon$ then which $delta >0$ should I take such that whenever $|X-A| < delta,$ $|f(X) - f(A) | < epsilon$ ?
– math maniac.
Jan 1 at 7:06






You are saying that $|f(X)-f(A)| le (|X|+|A|)|X-A|.$ Now suppose we want to make $|f(X)-f(A)| < epsilon$ then which $delta >0$ should I take such that whenever $|X-A| < delta,$ $|f(X) - f(A) | < epsilon$ ?
– math maniac.
Jan 1 at 7:06














Whenever $|X-A| < delta$ then $|X| < |A| + delta$ by reverse triangle inequality. But then $|f(X)-f(A)| < {delta}^2 + 2|A| delta.$ We may take $0 < delta < 1$. But then ${delta}^2 < delta.$ Then $|f(X)-f(A)| < (2 |A| + 1) delta < epsilon$ if $delta le frac {epsilon} {2|A| + 1}.$
– math maniac.
Jan 1 at 7:16




Whenever $|X-A| < delta$ then $|X| < |A| + delta$ by reverse triangle inequality. But then $|f(X)-f(A)| < {delta}^2 + 2|A| delta.$ We may take $0 < delta < 1$. But then ${delta}^2 < delta.$ Then $|f(X)-f(A)| < (2 |A| + 1) delta < epsilon$ if $delta le frac {epsilon} {2|A| + 1}.$
– math maniac.
Jan 1 at 7:16












So we should take $delta = min left {1,frac {epsilon} {2|A| +1} right }$. That will suit our purpose. Am I right?
– math maniac.
Jan 1 at 7:20






So we should take $delta = min left {1,frac {epsilon} {2|A| +1} right }$. That will suit our purpose. Am I right?
– math maniac.
Jan 1 at 7:20














We can take any norm. Not necessarily Euclidean norm. That's because any two norms on $Bbb R^4$ are equivalent.
– Dbchatto67
Jan 1 at 7:45






We can take any norm. Not necessarily Euclidean norm. That's because any two norms on $Bbb R^4$ are equivalent.
– Dbchatto67
Jan 1 at 7:45





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