chain rule application to multivariate derivative [closed]

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I have a book with this in it:



total derivative



But I don't understand where the single quote comes from.



If I look at this: http://tutorial.math.lamar.edu/Classes/CalcIII/ChainRule.aspx



I would assume the total derivative to be:



My take:



with dx/dt being x-dot and dt/dt reducing to 1.



But then I don't have a single quote, which indicates the partial of S with respect to x needs to differentiated with respect to time.



Could someone break down what i'm missing here?







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closed as unclear what you're asking by zipirovich, John Ma, Leucippus, Taroccoesbrocco, amWhy Jul 30 at 10:56


Please clarify your specific problem or add additional details to highlight exactly what you need. As it's currently written, it’s hard to tell exactly what you're asking. See the How to Ask page for help clarifying this question. If this question can be reworded to fit the rules in the help center, please edit the question.










  • 1




    What is $S$? what is $x$? Let's assume that $t$ is a real variable. I'm not sure what's implicit in this notation, can you provide us some more reference?
    – Henrique Augusto Souza
    Jul 29 at 16:13















up vote
-1
down vote

favorite












I have a book with this in it:



total derivative



But I don't understand where the single quote comes from.



If I look at this: http://tutorial.math.lamar.edu/Classes/CalcIII/ChainRule.aspx



I would assume the total derivative to be:



My take:



with dx/dt being x-dot and dt/dt reducing to 1.



But then I don't have a single quote, which indicates the partial of S with respect to x needs to differentiated with respect to time.



Could someone break down what i'm missing here?







share|cite|improve this question











closed as unclear what you're asking by zipirovich, John Ma, Leucippus, Taroccoesbrocco, amWhy Jul 30 at 10:56


Please clarify your specific problem or add additional details to highlight exactly what you need. As it's currently written, it’s hard to tell exactly what you're asking. See the How to Ask page for help clarifying this question. If this question can be reworded to fit the rules in the help center, please edit the question.










  • 1




    What is $S$? what is $x$? Let's assume that $t$ is a real variable. I'm not sure what's implicit in this notation, can you provide us some more reference?
    – Henrique Augusto Souza
    Jul 29 at 16:13













up vote
-1
down vote

favorite









up vote
-1
down vote

favorite











I have a book with this in it:



total derivative



But I don't understand where the single quote comes from.



If I look at this: http://tutorial.math.lamar.edu/Classes/CalcIII/ChainRule.aspx



I would assume the total derivative to be:



My take:



with dx/dt being x-dot and dt/dt reducing to 1.



But then I don't have a single quote, which indicates the partial of S with respect to x needs to differentiated with respect to time.



Could someone break down what i'm missing here?







share|cite|improve this question











I have a book with this in it:



total derivative



But I don't understand where the single quote comes from.



If I look at this: http://tutorial.math.lamar.edu/Classes/CalcIII/ChainRule.aspx



I would assume the total derivative to be:



My take:



with dx/dt being x-dot and dt/dt reducing to 1.



But then I don't have a single quote, which indicates the partial of S with respect to x needs to differentiated with respect to time.



Could someone break down what i'm missing here?









share|cite|improve this question










share|cite|improve this question




share|cite|improve this question









asked Jul 29 at 10:38









graaf

61




61




closed as unclear what you're asking by zipirovich, John Ma, Leucippus, Taroccoesbrocco, amWhy Jul 30 at 10:56


Please clarify your specific problem or add additional details to highlight exactly what you need. As it's currently written, it’s hard to tell exactly what you're asking. See the How to Ask page for help clarifying this question. If this question can be reworded to fit the rules in the help center, please edit the question.






closed as unclear what you're asking by zipirovich, John Ma, Leucippus, Taroccoesbrocco, amWhy Jul 30 at 10:56


Please clarify your specific problem or add additional details to highlight exactly what you need. As it's currently written, it’s hard to tell exactly what you're asking. See the How to Ask page for help clarifying this question. If this question can be reworded to fit the rules in the help center, please edit the question.









  • 1




    What is $S$? what is $x$? Let's assume that $t$ is a real variable. I'm not sure what's implicit in this notation, can you provide us some more reference?
    – Henrique Augusto Souza
    Jul 29 at 16:13













  • 1




    What is $S$? what is $x$? Let's assume that $t$ is a real variable. I'm not sure what's implicit in this notation, can you provide us some more reference?
    – Henrique Augusto Souza
    Jul 29 at 16:13








1




1




What is $S$? what is $x$? Let's assume that $t$ is a real variable. I'm not sure what's implicit in this notation, can you provide us some more reference?
– Henrique Augusto Souza
Jul 29 at 16:13





What is $S$? what is $x$? Let's assume that $t$ is a real variable. I'm not sure what's implicit in this notation, can you provide us some more reference?
– Henrique Augusto Souza
Jul 29 at 16:13











1 Answer
1






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oldest

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up vote
0
down vote



accepted










It's hard to tell without the context (“I have a book” is useless information – tell us which book it is!), but my guess is that the prime means matrix transposition (like in Matlab, for instance), and that they view the gradient $partial S/partial mathbfx$ as a column vector which must be turned into a row vector in order to be multiplied by the column vector $dotmathbfx$.






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  • the book is 'optimal control systems' by desineni naidu
    – graaf
    Jul 30 at 6:49










  • S is the terminal cost part of a functional, so the product should be a scalar. I think you are right, I was too hung up on ' being differentiation to consider the bold face of the x.
    – graaf
    Jul 30 at 6:59

















1 Answer
1






active

oldest

votes








1 Answer
1






active

oldest

votes









active

oldest

votes






active

oldest

votes








up vote
0
down vote



accepted










It's hard to tell without the context (“I have a book” is useless information – tell us which book it is!), but my guess is that the prime means matrix transposition (like in Matlab, for instance), and that they view the gradient $partial S/partial mathbfx$ as a column vector which must be turned into a row vector in order to be multiplied by the column vector $dotmathbfx$.






share|cite|improve this answer





















  • the book is 'optimal control systems' by desineni naidu
    – graaf
    Jul 30 at 6:49










  • S is the terminal cost part of a functional, so the product should be a scalar. I think you are right, I was too hung up on ' being differentiation to consider the bold face of the x.
    – graaf
    Jul 30 at 6:59














up vote
0
down vote



accepted










It's hard to tell without the context (“I have a book” is useless information – tell us which book it is!), but my guess is that the prime means matrix transposition (like in Matlab, for instance), and that they view the gradient $partial S/partial mathbfx$ as a column vector which must be turned into a row vector in order to be multiplied by the column vector $dotmathbfx$.






share|cite|improve this answer





















  • the book is 'optimal control systems' by desineni naidu
    – graaf
    Jul 30 at 6:49










  • S is the terminal cost part of a functional, so the product should be a scalar. I think you are right, I was too hung up on ' being differentiation to consider the bold face of the x.
    – graaf
    Jul 30 at 6:59












up vote
0
down vote



accepted







up vote
0
down vote



accepted






It's hard to tell without the context (“I have a book” is useless information – tell us which book it is!), but my guess is that the prime means matrix transposition (like in Matlab, for instance), and that they view the gradient $partial S/partial mathbfx$ as a column vector which must be turned into a row vector in order to be multiplied by the column vector $dotmathbfx$.






share|cite|improve this answer













It's hard to tell without the context (“I have a book” is useless information – tell us which book it is!), but my guess is that the prime means matrix transposition (like in Matlab, for instance), and that they view the gradient $partial S/partial mathbfx$ as a column vector which must be turned into a row vector in order to be multiplied by the column vector $dotmathbfx$.







share|cite|improve this answer













share|cite|improve this answer



share|cite|improve this answer











answered Jul 29 at 16:42









Hans Lundmark

32.7k563109




32.7k563109











  • the book is 'optimal control systems' by desineni naidu
    – graaf
    Jul 30 at 6:49










  • S is the terminal cost part of a functional, so the product should be a scalar. I think you are right, I was too hung up on ' being differentiation to consider the bold face of the x.
    – graaf
    Jul 30 at 6:59
















  • the book is 'optimal control systems' by desineni naidu
    – graaf
    Jul 30 at 6:49










  • S is the terminal cost part of a functional, so the product should be a scalar. I think you are right, I was too hung up on ' being differentiation to consider the bold face of the x.
    – graaf
    Jul 30 at 6:59















the book is 'optimal control systems' by desineni naidu
– graaf
Jul 30 at 6:49




the book is 'optimal control systems' by desineni naidu
– graaf
Jul 30 at 6:49












S is the terminal cost part of a functional, so the product should be a scalar. I think you are right, I was too hung up on ' being differentiation to consider the bold face of the x.
– graaf
Jul 30 at 6:59




S is the terminal cost part of a functional, so the product should be a scalar. I think you are right, I was too hung up on ' being differentiation to consider the bold face of the x.
– graaf
Jul 30 at 6:59


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