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N-dimensional definition of elasticity
Absolute value and sign of an elasticityEconomic Elasticity: where elasticity-equation come from?What is the equation representing a constant elasticity of 1?Elasticity of demand given a quantity and a price functionMicroeconomics : Total revenue for unit elasticityElasticity of demand the idea behind it.Can the elasticity of a concave function be strictly increasingElasticity of a Function as a Exponential ConstantLogarithmic derivative confusion with Elasticity of SubstitutionElasticity of Demand:How to Calculate Maximum Revenue
$begingroup$
The elasticity of a differentiable function $f(x)$ is defined as:
$varepsilon(x) = fracxf(x)f'(x)$
What is the general form of this definition for N-dimensions, i.e., where $vecx$ is a vector instead?
calculus economics
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add a comment |
$begingroup$
The elasticity of a differentiable function $f(x)$ is defined as:
$varepsilon(x) = fracxf(x)f'(x)$
What is the general form of this definition for N-dimensions, i.e., where $vecx$ is a vector instead?
calculus economics
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1
$begingroup$
If I were to guess how to generalise this mathematically, I'd say $$epsilon(vec x)=frac1f(vec x)vec xcdotnabla f(vec x)=vec xcdotnabla (log f(vec x))$$But I am not an expert in this field
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– John Doe
Mar 22 at 1:16
1
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@JohnDoe I don't think that's quite it, you can't divide by a vector, nor can you take the gradient of a vector valued function. Maybe magnitude of vector instead? I assume your arrows mean vectors.
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– LordVader007
Mar 22 at 1:42
$begingroup$
Not sure if this is what you're looking for: rmi.ge/~kade/LecturesT.Kadeishvili/MathEconomics/Term3/…. See section 1.3.3.
$endgroup$
– LordVader007
Mar 22 at 2:07
$begingroup$
@LordVader007 $f(vec x)$ is not a vector, it is a vector-valued scalar function. The $i$th component of the gradient is defined as $$[nabla f(vec x)]_i=fracpartialpartial x_i f(vec x)$$Then we'd have $$varepsilon(vec x)=sum_i=1^N x_ifracpartialpartial x_i(log f(vec x))$$
$endgroup$
– John Doe
Mar 22 at 3:47
2
$begingroup$
@JohnDoe ok that makes sense. Thanks for clarifying.
$endgroup$
– LordVader007
Mar 22 at 4:14
add a comment |
$begingroup$
The elasticity of a differentiable function $f(x)$ is defined as:
$varepsilon(x) = fracxf(x)f'(x)$
What is the general form of this definition for N-dimensions, i.e., where $vecx$ is a vector instead?
calculus economics
$endgroup$
The elasticity of a differentiable function $f(x)$ is defined as:
$varepsilon(x) = fracxf(x)f'(x)$
What is the general form of this definition for N-dimensions, i.e., where $vecx$ is a vector instead?
calculus economics
calculus economics
asked Mar 22 at 1:03
vonPetrushevvonPetrushev
1012
1012
1
$begingroup$
If I were to guess how to generalise this mathematically, I'd say $$epsilon(vec x)=frac1f(vec x)vec xcdotnabla f(vec x)=vec xcdotnabla (log f(vec x))$$But I am not an expert in this field
$endgroup$
– John Doe
Mar 22 at 1:16
1
$begingroup$
@JohnDoe I don't think that's quite it, you can't divide by a vector, nor can you take the gradient of a vector valued function. Maybe magnitude of vector instead? I assume your arrows mean vectors.
$endgroup$
– LordVader007
Mar 22 at 1:42
$begingroup$
Not sure if this is what you're looking for: rmi.ge/~kade/LecturesT.Kadeishvili/MathEconomics/Term3/…. See section 1.3.3.
$endgroup$
– LordVader007
Mar 22 at 2:07
$begingroup$
@LordVader007 $f(vec x)$ is not a vector, it is a vector-valued scalar function. The $i$th component of the gradient is defined as $$[nabla f(vec x)]_i=fracpartialpartial x_i f(vec x)$$Then we'd have $$varepsilon(vec x)=sum_i=1^N x_ifracpartialpartial x_i(log f(vec x))$$
$endgroup$
– John Doe
Mar 22 at 3:47
2
$begingroup$
@JohnDoe ok that makes sense. Thanks for clarifying.
$endgroup$
– LordVader007
Mar 22 at 4:14
add a comment |
1
$begingroup$
If I were to guess how to generalise this mathematically, I'd say $$epsilon(vec x)=frac1f(vec x)vec xcdotnabla f(vec x)=vec xcdotnabla (log f(vec x))$$But I am not an expert in this field
$endgroup$
– John Doe
Mar 22 at 1:16
1
$begingroup$
@JohnDoe I don't think that's quite it, you can't divide by a vector, nor can you take the gradient of a vector valued function. Maybe magnitude of vector instead? I assume your arrows mean vectors.
$endgroup$
– LordVader007
Mar 22 at 1:42
$begingroup$
Not sure if this is what you're looking for: rmi.ge/~kade/LecturesT.Kadeishvili/MathEconomics/Term3/…. See section 1.3.3.
$endgroup$
– LordVader007
Mar 22 at 2:07
$begingroup$
@LordVader007 $f(vec x)$ is not a vector, it is a vector-valued scalar function. The $i$th component of the gradient is defined as $$[nabla f(vec x)]_i=fracpartialpartial x_i f(vec x)$$Then we'd have $$varepsilon(vec x)=sum_i=1^N x_ifracpartialpartial x_i(log f(vec x))$$
$endgroup$
– John Doe
Mar 22 at 3:47
2
$begingroup$
@JohnDoe ok that makes sense. Thanks for clarifying.
$endgroup$
– LordVader007
Mar 22 at 4:14
1
1
$begingroup$
If I were to guess how to generalise this mathematically, I'd say $$epsilon(vec x)=frac1f(vec x)vec xcdotnabla f(vec x)=vec xcdotnabla (log f(vec x))$$But I am not an expert in this field
$endgroup$
– John Doe
Mar 22 at 1:16
$begingroup$
If I were to guess how to generalise this mathematically, I'd say $$epsilon(vec x)=frac1f(vec x)vec xcdotnabla f(vec x)=vec xcdotnabla (log f(vec x))$$But I am not an expert in this field
$endgroup$
– John Doe
Mar 22 at 1:16
1
1
$begingroup$
@JohnDoe I don't think that's quite it, you can't divide by a vector, nor can you take the gradient of a vector valued function. Maybe magnitude of vector instead? I assume your arrows mean vectors.
$endgroup$
– LordVader007
Mar 22 at 1:42
$begingroup$
@JohnDoe I don't think that's quite it, you can't divide by a vector, nor can you take the gradient of a vector valued function. Maybe magnitude of vector instead? I assume your arrows mean vectors.
$endgroup$
– LordVader007
Mar 22 at 1:42
$begingroup$
Not sure if this is what you're looking for: rmi.ge/~kade/LecturesT.Kadeishvili/MathEconomics/Term3/…. See section 1.3.3.
$endgroup$
– LordVader007
Mar 22 at 2:07
$begingroup$
Not sure if this is what you're looking for: rmi.ge/~kade/LecturesT.Kadeishvili/MathEconomics/Term3/…. See section 1.3.3.
$endgroup$
– LordVader007
Mar 22 at 2:07
$begingroup$
@LordVader007 $f(vec x)$ is not a vector, it is a vector-valued scalar function. The $i$th component of the gradient is defined as $$[nabla f(vec x)]_i=fracpartialpartial x_i f(vec x)$$Then we'd have $$varepsilon(vec x)=sum_i=1^N x_ifracpartialpartial x_i(log f(vec x))$$
$endgroup$
– John Doe
Mar 22 at 3:47
$begingroup$
@LordVader007 $f(vec x)$ is not a vector, it is a vector-valued scalar function. The $i$th component of the gradient is defined as $$[nabla f(vec x)]_i=fracpartialpartial x_i f(vec x)$$Then we'd have $$varepsilon(vec x)=sum_i=1^N x_ifracpartialpartial x_i(log f(vec x))$$
$endgroup$
– John Doe
Mar 22 at 3:47
2
2
$begingroup$
@JohnDoe ok that makes sense. Thanks for clarifying.
$endgroup$
– LordVader007
Mar 22 at 4:14
$begingroup$
@JohnDoe ok that makes sense. Thanks for clarifying.
$endgroup$
– LordVader007
Mar 22 at 4:14
add a comment |
0
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$begingroup$
If I were to guess how to generalise this mathematically, I'd say $$epsilon(vec x)=frac1f(vec x)vec xcdotnabla f(vec x)=vec xcdotnabla (log f(vec x))$$But I am not an expert in this field
$endgroup$
– John Doe
Mar 22 at 1:16
1
$begingroup$
@JohnDoe I don't think that's quite it, you can't divide by a vector, nor can you take the gradient of a vector valued function. Maybe magnitude of vector instead? I assume your arrows mean vectors.
$endgroup$
– LordVader007
Mar 22 at 1:42
$begingroup$
Not sure if this is what you're looking for: rmi.ge/~kade/LecturesT.Kadeishvili/MathEconomics/Term3/…. See section 1.3.3.
$endgroup$
– LordVader007
Mar 22 at 2:07
$begingroup$
@LordVader007 $f(vec x)$ is not a vector, it is a vector-valued scalar function. The $i$th component of the gradient is defined as $$[nabla f(vec x)]_i=fracpartialpartial x_i f(vec x)$$Then we'd have $$varepsilon(vec x)=sum_i=1^N x_ifracpartialpartial x_i(log f(vec x))$$
$endgroup$
– John Doe
Mar 22 at 3:47
2
$begingroup$
@JohnDoe ok that makes sense. Thanks for clarifying.
$endgroup$
– LordVader007
Mar 22 at 4:14