Vector analysis problem about a gradient

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The discussion revolves around a vector calculus problem involving the gradient of a scalar function. The original statement posed confusion regarding the differentiation with respect to the variable lambda, which is clarified through the application of the chain rule. Participants demonstrate that by defining a new function and differentiating it, the relationship between the gradient and the scalar function can be established. Ultimately, it is confirmed that setting lambda to one resolves the initial query, affirming the relationship between the gradient and the scalar function as stated in the textbook. The conversation emphasizes the importance of correctly applying differentiation techniques in vector calculus.
patric44
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Homework Statement
if Φ=Φ(λx,λy,λz) = λ^n(x,y,z)
proof that r.grad(Φ) = nΦ
Relevant Equations
Φ=Φ(λx,λy,λz) = λ^n(x,y,z)
r.grad(Φ) = nΦ
hi guys i saw this problem in my collage textbook on vector calculus , i don't know if the statement is wrong because it don't make sense to me
so if anyone can help on getting a hint where to start i will appreciate it , basically it says :
$$ \phi =\phi(\lambda x,\lambda y,\lambda z)=\lambda^{n}(x,y,z) $$
prove that
$$\vec{r} . \vec{\nabla}\phi=n\phi$$
 
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The correct statement is $$f(\lambda x)=\lambda^s f(x),\quad \forall \lambda>0,\quad \forall x\in D\subset \mathbb{R}^m.$$
Here the domain ##D## is such that ##x\in\ D\Longrightarrow \lambda x\in D##.Differentiate this equation in ##\lambda## and then put ##\lambda=1##:
$$\Big(x,\frac{\partial f}{\partial x}\Big)=sf(x).$$
 
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wrobel said:
The correct statement is $$f(\lambda x)=\lambda^s f(x),\quad \forall \lambda>0,\quad \forall x\in D\subset \mathbb{R}^m.$$
Here the domain ##D## is such that ##x\in\ D\Longrightarrow \lambda x\in D##.Differentiate this equation in ##\lambda## and then put ##\lambda=1##:
$$\Big(x,\frac{\partial f}{\partial x}\Big)=sf(x).$$
why should i differentiate with respect to ##\lambda## the gradient of ##\phi## is with respect to the ##(x,y,z)## ?
and what about ##\vec{r}.\vec{\nabla}\phi##
 
patric44 said:
why should i differentiate with respect to ##\lambda## the gradient of ##\phi## is with respect to the ##(x,y,z)## ?
and what about ##\vec{r}.\vec{\nabla}\phi##
You can let ##g(\lambda) = f(\lambda x, \lambda y, \lambda z) = \lambda^n f(x, y, z)## and differentiate that with respect to ##\lambda##.
 
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PeroK said:
You can let ##g(\lambda) = f(\lambda x, \lambda y, \lambda z) = \lambda^n f(x, y, z)## and differentiate that with respect to ##\lambda##.
ok :
let ##g(\lambda) = f(\lambda x ,\lambda y,\lambda z)=\lambda^{n}f(x,y,z)## then by differentiating :
$$\frac{dg(\lambda)}{d\lambda}=n\lambda^{n-1}f(x,y,z)$$
and the gradient part :
$$\vec{r}.\vec{\nabla}f(\lambda x ,\lambda y,\lambda z) = \lambda^{n}(x\frac{df}{dx}+y\frac{df}{dy}+z\frac{df}{dz})$$
i don't get how this is related to my question!
 
patric44 said:
ok :
let ##g(\lambda) = f(\lambda x ,\lambda y,\lambda z)=\lambda^{n}f(x,y,z)## then by differentiating :
$$\frac{dg(\lambda)}{d\lambda}=n\lambda^{n-1}f(x,y,z)$$
and the gradient part :
$$\vec{r}.\vec{\nabla}f(\lambda x ,\lambda y,\lambda z) = \lambda^{n}(x\frac{df}{dx}+y\frac{df}{dy}+z\frac{df}{dz})$$
i don't get how this is related to my question!
There's another way you can differentiate ##g(\lambda)##.
 
PeroK said:
There's another way you can differentiate ##g(\lambda)##.
a little more help , you mean using something like the chain rule ?
 
patric44 said:
a little more help , you mean using something like the chain rule ?
Yes, because the chain rule invokes the gradient.
 
PeroK said:
Yes, because the chain rule invokes the gradient.
:smile: thanks , i guess i got it now :
if i let ##u=\lambda x , v = \lambda y , w = \lambda z , ##then
$$\frac{dg}{d\lambda} = \frac{\partial\phi}{\partial u}\frac{\partial u}{\partial x}+\frac{\partial\phi}{\partial v}\frac{\partial v}{\partial y}+\frac{\partial\phi}{\partial w}\frac{\partial w}{\partial z}$$
then
$$\frac{dg}{d\lambda} = \frac{\partial\phi}{\partial \lambda x} x +\frac{\partial\phi}{\partial \lambda y}y+\frac{\partial\phi}{\partial \lambda z}z=n\lambda^{n-1}\phi(x,y,z)$$
if i let ##\lambda = 1## :
$$ \frac{\partial\phi}{\partial x} x +\frac{\partial\phi}{\partial y}y+\frac{\partial\phi}{\partial z}z=n\phi(x,y,z)=\vec{r}.\vec{\nabla}\phi$$
thanks guys so much .
 
  • #10
patric44 said:
:smile: thanks , i guess i got it now :
if i let ##u=\lambda x , v = \lambda y , w = \lambda z , ##then
$$\frac{dg}{d\lambda} = \frac{\partial\phi}{\partial u}\frac{\partial u}{\partial x}+\frac{\partial\phi}{\partial v}\frac{\partial v}{\partial y}+\frac{\partial\phi}{\partial w}\frac{\partial w}{\partial z}$$
then
$$\frac{dg}{d\lambda} = \frac{\partial\phi}{\partial \lambda x} x +\frac{\partial\phi}{\partial \lambda y}y+\frac{\partial\phi}{\partial \lambda z}z=n\lambda^{n-1}\phi(x,y,z)$$
if i let ##\lambda = 1## :
$$ \frac{\partial\phi}{\partial x} x +\frac{\partial\phi}{\partial y}y+\frac{\partial\phi}{\partial z}z=n\phi(x,y,z)=\vec{r}.\vec{\nabla}\phi$$
thanks guys so much .
This is not quite right. First, you should have:
$$\frac{dg}{d\lambda} = \frac{\partial\phi}{\partial u}\frac{\partial u}{\partial \lambda}+\frac{\partial\phi}{\partial v}\frac{\partial v}{\partial \lambda}+\frac{\partial\phi}{\partial w}\frac{\partial w}{\partial \lambda }$$
And then this becomes:
$$\frac{dg}{d\lambda} = \frac{\partial\phi}{\partial u}x +\frac{\partial\phi}{\partial v} y +\frac{\partial\phi}{\partial w} z = \vec{\nabla}\phi(u, v, w) \cdot \vec r = \vec{\nabla}\phi(\lambda x, \lambda y, \lambda z) \cdot \vec r$$
 
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  • #11
PeroK said:
This is not quite right. First, you should have:
$$\frac{dg}{d\lambda} = \frac{\partial\phi}{\partial u}\frac{\partial u}{\partial \lambda}+\frac{\partial\phi}{\partial v}\frac{\partial v}{\partial \lambda}+\frac{\partial\phi}{\partial w}\frac{\partial w}{\partial \lambda }$$
And then this becomes:
$$\frac{dg}{d\lambda} = \frac{\partial\phi}{\partial u}x +\frac{\partial\phi}{\partial v} y +\frac{\partial\phi}{\partial w} z = \vec{\nabla}\phi(u, v, w) \cdot \vec r = \vec{\nabla}\phi(\lambda x, \lambda y, \lambda z) \cdot \vec r$$
oh my bad , but the book stated it explicitly as ##\vec{r}.\vec{\nabla\phi}## so i thought the book was right , does it matter since i can change the order of the product of the chain rule terms , and get the other reversed expression , or i cannot do that ?
 
  • #12
You still have to set ##\lambda = 1##. That sorts everything out.
 
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  • #13
thanks so much :smile:
 
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  • #14
the converse theorem also holds
 
Last edited:

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