What is the average value of electric field?

  • Thread starter Petar Mali
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In summary: Delta V\cdot\vec{r}[/tex]In summary, Gauss theorem tells us that the volume (measure) of a point in a region is the product of its distance from the center of the region and the scalar field strength at that point.
  • #1
Petar Mali
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[tex]\oint_{\Delta S}\vec{E}\cdot \vec{dS}=const \int_{\Delta_V}\rho dV[/tex]

[tex]\Delta S[/tex] surface which surround domain [tex]\Delta V[/tex].

[tex]\vec{E}(\vec{r},t)[/tex] - vector field

[tex]\rho(\vec{r},t)[/tex] - scalar field

Now in the book which I read they say we use average value theorem

and get

[tex]\oint_{\Delta S}\vec{E}\cdot \vec{dS}=const \overline{\rho}\Delta V[/tex]

Can you tell me something more about

[tex]\int_{\Delta_V}\rho dV=\overline{\rho}\Delta V[/tex]
 
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  • #2
Well, there really isn't much to be said. The integral of a constant over a region is just that constant times the measure (length, area, or volume) of the region. Essentially you defining the average of a function to be that constant which, when integrated over the region, gives the same value as the integral integrated over the region.

It is just an extension of the average of a finite set of numbers: if the set of numbers is [itex]\{x_1, x_2, \cdot\cdot\cdot, x_n\}[/itex] then adding them gives [itex]x_1+ x_2+ \cdot\cdot\cdot+ x_n[/itex] and their average, [itex]\overline{x}[/itex] is the number such that [itex]\overline{x}+ \overline{x}+ \cdot\cdot\cdot+ \overline{x}= n\overline{x}= x_1+ x_2+ \cdot\cdot\cdot+ x_n[[/tex]. That is,
[itex]\overline{x}= \frac{x_1+ x_2+ \cdot\cdot\cdot+ x_n}{n}[/itex].
 
  • #3
Thanks! Idea is clear to me. But I have a trouble to determine when can I do that!

For example when can I say

[tex]\int^a_0f(x)dx=\overline{f}a[/tex]
?

From

[tex]
\oint_{\Delta S}\vec{E}\cdot \vec{dS}=const \overline{\rho}\Delta V
[/tex]

[tex]\frac{1}{\Delta V} \oint_{\Delta S}\vec{E}\cdot \vec{dS}=const \overline{\rho}[/tex]

[tex]lim_{\Delta V \rightarrow 0}\frac{1}{\Delta V} \oint_{\Delta S}\vec{E}\cdot \vec{dS}
=lim_{\Delta V \rightarrow 0}const \overline{\rho}[/tex]

[tex](div\vec{E})_M=(const \overline{\rho})_M[/tex]

where [tex]M[/tex] is some point in region which volume (measure) is [tex]\Delta V[/tex].

And if I use Gauss theorem I will get

[tex]div\vec{E}=const\rho[/tex]
 

FAQ: What is the average value of electric field?

What are the different types of average values?

There are three main types of average values: mean, median, and mode. The mean is the sum of all values in a set divided by the number of values. The median is the middle value when the set of values is arranged in ascending or descending order. The mode is the value that appears most frequently in the set.

How are average values used in statistics?

Average values are used to summarize and describe a set of data. They can provide a quick understanding of the central tendency of a data set and can be used to make comparisons between different groups or sets of data. They are also used in various statistical calculations and analyses.

What is the importance of the Central Limit Theorem?

The Central Limit Theorem states that the sampling distribution of the mean of a large number of independent and identically distributed variables will be approximately normally distributed, regardless of the distribution of the original variables. This is important because it allows us to make assumptions and perform statistical tests even when the underlying distribution is unknown or non-normal.

How can average values be misleading?

Average values can be misleading when there are extreme values or outliers in the data set. These values can greatly affect the mean, pulling it towards the extreme value and making it an inaccurate representation of the majority of the data. This is why it is important to also consider other measures of central tendency, such as the median.

Can average values be used to make predictions?

Average values can be used to make predictions, but they should not be solely relied upon. They are based on past data and may not accurately represent future trends. Additionally, other factors and variables should be taken into consideration when making predictions.

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