I need to find the potential function of a vector field. Announcing the arrival of Valued Associate #679: Cesar Manara Planned maintenance scheduled April 17/18, 2019 at 00:00UTC (8:00pm US/Eastern)Calculating the Integral of a non conservative vector fieldFind the potential function of a conservative vector fieldTwo ways of finding a Potential of a Vector FieldFinding potential function for a vector fieldVector Field Conceptual QuestionIs there a specific notation to denote the potential function of a conservative vector field?Every conservative vector field is irrotationalQuestions about the potential of a conservative vector fieldWhy do we need both Divergence and Curl to define a vector field?How to check if a 2 dimensional vector field is irrotational (curl=0)?
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I need to find the potential function of a vector field.
Announcing the arrival of Valued Associate #679: Cesar Manara
Planned maintenance scheduled April 17/18, 2019 at 00:00UTC (8:00pm US/Eastern)Calculating the Integral of a non conservative vector fieldFind the potential function of a conservative vector fieldTwo ways of finding a Potential of a Vector FieldFinding potential function for a vector fieldVector Field Conceptual QuestionIs there a specific notation to denote the potential function of a conservative vector field?Every conservative vector field is irrotationalQuestions about the potential of a conservative vector fieldWhy do we need both Divergence and Curl to define a vector field?How to check if a 2 dimensional vector field is irrotational (curl=0)?
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I was given F = (y+z)i + (x+z)j + (x+y)k. I found said field to be conservative, and I integrated the x partial derivative and got f(x,y,z) = xy + xz + g(y,z). The thing is that I am trying to find g(y,z), and I ended up with something that was expressed in terms of x, y and z (I got x+z-xy-xz). I don't know what to do with this information not that I arrived at something expressed in all three variables.
integration multivariable-calculus vector-fields
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I was given F = (y+z)i + (x+z)j + (x+y)k. I found said field to be conservative, and I integrated the x partial derivative and got f(x,y,z) = xy + xz + g(y,z). The thing is that I am trying to find g(y,z), and I ended up with something that was expressed in terms of x, y and z (I got x+z-xy-xz). I don't know what to do with this information not that I arrived at something expressed in all three variables.
integration multivariable-calculus vector-fields
$endgroup$
add a comment |
$begingroup$
I was given F = (y+z)i + (x+z)j + (x+y)k. I found said field to be conservative, and I integrated the x partial derivative and got f(x,y,z) = xy + xz + g(y,z). The thing is that I am trying to find g(y,z), and I ended up with something that was expressed in terms of x, y and z (I got x+z-xy-xz). I don't know what to do with this information not that I arrived at something expressed in all three variables.
integration multivariable-calculus vector-fields
$endgroup$
I was given F = (y+z)i + (x+z)j + (x+y)k. I found said field to be conservative, and I integrated the x partial derivative and got f(x,y,z) = xy + xz + g(y,z). The thing is that I am trying to find g(y,z), and I ended up with something that was expressed in terms of x, y and z (I got x+z-xy-xz). I don't know what to do with this information not that I arrived at something expressed in all three variables.
integration multivariable-calculus vector-fields
integration multivariable-calculus vector-fields
asked 3 hours ago
UchuukoUchuuko
367
367
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2 Answers
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You have $fracpartial fpartial x= y+ z$ so that $f(x,y,z)= xy+ xz+ g(y,z)$. (Since the differentiation with respect to x treat y and z as constants, the "constant of integration" might in fact be a function of y and z. That is the "g(y, z)".)
Differentiating that with respect to y, $fracpartial fpartial y= x+ g_y(y, z)= x+ z$ so that $g_y= z$ and $g(y, z)= yz+ h(z)$.
So f(x,y,z)= xy+ xz+ yz+ h(z). Differentiating that with respect to z, $fracpartial fpartial z= x+ y+ h'(z)= x+ y$ so that h'(z)= 0. h is a constant, C so that we get f(x, y, z)= xy+ xz+ yz+ C.
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$begingroup$
So far, we have $f(x,y,z) = xy + xz + g(y,z)$. Taking $fracpartial fpartial x$ gives us the $x$-component of $textbfF$. To get similar $y$ and $z$-components, we suspect that $g(y,z)$ should be similar to the other terms in $f(x,y,z)$ in some sense. The natural guess is $g(y,z) = yz$, since the other terms in $f(x,y,z)$ are each multiplications of two different independent variables. It can then be verified that the guess for $g$ produces the correct vector field, by computing $nabla f$.
We now know that we have determined the potential function up to a constant, since if two scalar fields have the same gradient, then they differ by a constant.
A note of caution: sometimes the convention for what is meant by a potential function for a vector field $mathbfF$, is a scalar field $f$ such that $mathbfF = - nabla f$. Beware!
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2 Answers
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2 Answers
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$begingroup$
You have $fracpartial fpartial x= y+ z$ so that $f(x,y,z)= xy+ xz+ g(y,z)$. (Since the differentiation with respect to x treat y and z as constants, the "constant of integration" might in fact be a function of y and z. That is the "g(y, z)".)
Differentiating that with respect to y, $fracpartial fpartial y= x+ g_y(y, z)= x+ z$ so that $g_y= z$ and $g(y, z)= yz+ h(z)$.
So f(x,y,z)= xy+ xz+ yz+ h(z). Differentiating that with respect to z, $fracpartial fpartial z= x+ y+ h'(z)= x+ y$ so that h'(z)= 0. h is a constant, C so that we get f(x, y, z)= xy+ xz+ yz+ C.
$endgroup$
add a comment |
$begingroup$
You have $fracpartial fpartial x= y+ z$ so that $f(x,y,z)= xy+ xz+ g(y,z)$. (Since the differentiation with respect to x treat y and z as constants, the "constant of integration" might in fact be a function of y and z. That is the "g(y, z)".)
Differentiating that with respect to y, $fracpartial fpartial y= x+ g_y(y, z)= x+ z$ so that $g_y= z$ and $g(y, z)= yz+ h(z)$.
So f(x,y,z)= xy+ xz+ yz+ h(z). Differentiating that with respect to z, $fracpartial fpartial z= x+ y+ h'(z)= x+ y$ so that h'(z)= 0. h is a constant, C so that we get f(x, y, z)= xy+ xz+ yz+ C.
$endgroup$
add a comment |
$begingroup$
You have $fracpartial fpartial x= y+ z$ so that $f(x,y,z)= xy+ xz+ g(y,z)$. (Since the differentiation with respect to x treat y and z as constants, the "constant of integration" might in fact be a function of y and z. That is the "g(y, z)".)
Differentiating that with respect to y, $fracpartial fpartial y= x+ g_y(y, z)= x+ z$ so that $g_y= z$ and $g(y, z)= yz+ h(z)$.
So f(x,y,z)= xy+ xz+ yz+ h(z). Differentiating that with respect to z, $fracpartial fpartial z= x+ y+ h'(z)= x+ y$ so that h'(z)= 0. h is a constant, C so that we get f(x, y, z)= xy+ xz+ yz+ C.
$endgroup$
You have $fracpartial fpartial x= y+ z$ so that $f(x,y,z)= xy+ xz+ g(y,z)$. (Since the differentiation with respect to x treat y and z as constants, the "constant of integration" might in fact be a function of y and z. That is the "g(y, z)".)
Differentiating that with respect to y, $fracpartial fpartial y= x+ g_y(y, z)= x+ z$ so that $g_y= z$ and $g(y, z)= yz+ h(z)$.
So f(x,y,z)= xy+ xz+ yz+ h(z). Differentiating that with respect to z, $fracpartial fpartial z= x+ y+ h'(z)= x+ y$ so that h'(z)= 0. h is a constant, C so that we get f(x, y, z)= xy+ xz+ yz+ C.
answered 2 hours ago
user247327user247327
11.6k1516
11.6k1516
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$begingroup$
So far, we have $f(x,y,z) = xy + xz + g(y,z)$. Taking $fracpartial fpartial x$ gives us the $x$-component of $textbfF$. To get similar $y$ and $z$-components, we suspect that $g(y,z)$ should be similar to the other terms in $f(x,y,z)$ in some sense. The natural guess is $g(y,z) = yz$, since the other terms in $f(x,y,z)$ are each multiplications of two different independent variables. It can then be verified that the guess for $g$ produces the correct vector field, by computing $nabla f$.
We now know that we have determined the potential function up to a constant, since if two scalar fields have the same gradient, then they differ by a constant.
A note of caution: sometimes the convention for what is meant by a potential function for a vector field $mathbfF$, is a scalar field $f$ such that $mathbfF = - nabla f$. Beware!
$endgroup$
add a comment |
$begingroup$
So far, we have $f(x,y,z) = xy + xz + g(y,z)$. Taking $fracpartial fpartial x$ gives us the $x$-component of $textbfF$. To get similar $y$ and $z$-components, we suspect that $g(y,z)$ should be similar to the other terms in $f(x,y,z)$ in some sense. The natural guess is $g(y,z) = yz$, since the other terms in $f(x,y,z)$ are each multiplications of two different independent variables. It can then be verified that the guess for $g$ produces the correct vector field, by computing $nabla f$.
We now know that we have determined the potential function up to a constant, since if two scalar fields have the same gradient, then they differ by a constant.
A note of caution: sometimes the convention for what is meant by a potential function for a vector field $mathbfF$, is a scalar field $f$ such that $mathbfF = - nabla f$. Beware!
$endgroup$
add a comment |
$begingroup$
So far, we have $f(x,y,z) = xy + xz + g(y,z)$. Taking $fracpartial fpartial x$ gives us the $x$-component of $textbfF$. To get similar $y$ and $z$-components, we suspect that $g(y,z)$ should be similar to the other terms in $f(x,y,z)$ in some sense. The natural guess is $g(y,z) = yz$, since the other terms in $f(x,y,z)$ are each multiplications of two different independent variables. It can then be verified that the guess for $g$ produces the correct vector field, by computing $nabla f$.
We now know that we have determined the potential function up to a constant, since if two scalar fields have the same gradient, then they differ by a constant.
A note of caution: sometimes the convention for what is meant by a potential function for a vector field $mathbfF$, is a scalar field $f$ such that $mathbfF = - nabla f$. Beware!
$endgroup$
So far, we have $f(x,y,z) = xy + xz + g(y,z)$. Taking $fracpartial fpartial x$ gives us the $x$-component of $textbfF$. To get similar $y$ and $z$-components, we suspect that $g(y,z)$ should be similar to the other terms in $f(x,y,z)$ in some sense. The natural guess is $g(y,z) = yz$, since the other terms in $f(x,y,z)$ are each multiplications of two different independent variables. It can then be verified that the guess for $g$ produces the correct vector field, by computing $nabla f$.
We now know that we have determined the potential function up to a constant, since if two scalar fields have the same gradient, then they differ by a constant.
A note of caution: sometimes the convention for what is meant by a potential function for a vector field $mathbfF$, is a scalar field $f$ such that $mathbfF = - nabla f$. Beware!
edited 2 hours ago
answered 2 hours ago
E-muE-mu
1214
1214
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