Download

1 / 6

Understanding Electric Field of Distributed Charges for Rods

Jun 22, 2025

60 likes | 153 Vues

Learn how to calculate the electric field of distributed charges in a rod by breaking it up mathematically. Explore the impact of charge distribution and length variations using Coulomb's Law and integrals.

Share Presentation

Embed Code

hilda-whitehead

Télécharger la présentation

Understanding Electric Field of Distributed Charges for Rods

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

W4D1 Continuous Charge Distributions Chapter 16 Electric Field of Distributed Charges The Math for the rod (from class) www.iclicker.com
Activity – The Hard Part! BREAKING UP THE ROD
Let’s review the math a little y=L/2 Total charge = Q Total Length=L m=Q/L switch from dy to Dy dy y O dq=mdy x-axis 
Doing the math From tables of integrals …
What happens when L gets really big compared to L? (Infinite line of charge)
What happens when L is very SMALL compared to r?? (Teeny Tiny.) coulomb’s Law!!

Continuous Probability Distributions

Continuous Probability Distributions. Chapter 7. GOALS. Understand the difference between discrete and continuous distributions. Compute the mean and the standard deviation for a uniform distribution . Compute probabilities by using the uniform distribution.

759 views • 35 slides

Continuous Probability Distributions

Continuous Probability Distributions. Continuous Random Variables and Probability Distributions. Random Variable: Y Cumulative Distribution Function (CDF): F ( y )=P( Y ≤ y ) Probability Density Function (pdf): f ( y )=d F ( y )/d y Rules governing continuous distributions:

784 views • 37 slides

Continuous Distributions

Continuous Distributions. The Uniform distribution from a to b. The Normal distribution (mean m , standard deviation s ). The Exponential distribution. Weibull distribution with parameters a and b . The Weibull density, f ( x ). ( a = 0.9, b = 2). ( a = 0.7, b = 2).

1.54k views • 71 slides

-Electric Potential due to Continuous Charge Distributions

-Electric Potential due to Continuous Charge Distributions. AP Physics C Mrs. Coyle. Electric Potential –What we used so far!. Electric Potential Potential Difference Potential for a point charge Potential for multiple point charges. Remember:. V is a scalar quantity

2.13k views • 16 slides

Continuous Probability Distributions

Continuous Probability Distributions. f(x). Uniform Probability Distribution Area as a measure of Probability The Normal Curve The Standard Normal Distribution Computing Probabilities for a Standard Normal Distribution. X. Uniform Probability Distribution. NY. Chicago.

528 views • 28 slides

Continuous Probability Distributions

Continuous Probability Distributions. Chapter 8. 0. 1/3. 1/2. 1. 2/3. 8.1 Continuous Probability Distributions.

1.01k views • 71 slides

Continuous Distributions Review

Continuous Distributions Review. A z-score is: The mean of the distribution The deviation from the mean divided by the standard deviation Always positive The standard error .

182 views • 8 slides

W4D1 Continuous Charge Distributions

W4D1 Continuous Charge Distributions. Chapter 16 Electric Field of Distributed Charges. The Math for the rod (from class). www.iclicker.com. Activity – The Hard Part!. BREAKING UP. THE ROD. Let’s review the math a little. y=L/2. Total charge = Q Total Length=L m =Q/L.

180 views • 6 slides

Continuous Probability Distributions

Continuous Probability Distributions. Week 6 GT00303. CONTINUOUS RANDOM VARIABLE A random variable that takes on an infinite number of values within a given range. It is usually the result of some type of measurement. EXAMPLES The length of each song on the latest Tim McGraw album.

1.04k views • 38 slides

Continuous Distributions

Section 07. Continuous Distributions. Uniform. x has equal probability over entire interval Parameters: a – beginning of interval b – end of interval. Normal. Parameters: μ – mean σ 2 – variance n – sample size Standard normal distribution is .

308 views • 14 slides

Continuous Distributions

Continuous Distributions. And the Normal Curve. Density curves A density curve is a mathematical model of a distribution. The total area under the curve, by definition , is equal to 1, or 100%.

303 views • 15 slides

W02D1 Electric Dipoles and Continuous Charge Distributions

W02D1 Electric Dipoles and Continuous Charge Distributions. Math Review Tuesday Tues Feb 14 from 9-11 pm in 32-082 PS 1 due Tuesday Tues Feb 14 at 9 pm in boxes outside 32-082 or 26-152 W02D2 Reading Assignment Course Notes: Chapter Course Notes: Sections 4.1-4.2, 4.7

612 views • 31 slides

Continuous Distributions

Continuous Distributions. Continuous random variables. For a continuous random variable X the probability distribution is described by the probability density function f ( x ), which has the following properties :. f ( x ) ≥ 0.

675 views • 56 slides

Continuous Distributions

Continuous Distributions. ch3. A random variable X of the continuous type has a support or space S that is an interval(possibly unbounded) or a union of intervals, instead of a set of real numbers (discrete points).

406 views • 19 slides

Continuous distributions

Continuous distributions. Five important continuous distributions: uniform distribution (contiuous) Normal distribution c 2 –distribution [“ki-square”] t -distribution F -distribution. A reminder. Definition: Let X: S  R be a continuous random variable.

1.04k views • 22 slides

Continuous Charge Distributions

+. +Q 1. +. +Q 2. 0. 0. +. +Q 3. +. Continuous Charge Distributions. Single piece of a charge distribution. Single charge. Continuous charge distribution. Discrete charges. Finding dq. Cartesian. Polar. Line charge. Surface charge. Volume charge.

2.62k views • 46 slides

W02D1 Electric Dipoles and Continuous Charge Distributions

W02D1 Electric Dipoles and Continuous Charge Distributions. Math Review Tuesday Week Two Tues from 9-11 pm in 26-152 PS 1 due Week Two Tuesday Tues at 9 pm in boxes outside 32-082 or 26-152 W02D2 Reading Assignment Course Notes: Chapter Course Notes: Sections 3.1-3.2, 3.6, 3.7, 3.10

656 views • 35 slides

Continuous Charge Distributions

Continuous Charge Distributions. Electric Potential. Potential for Line of Charge. The potential of a line of charge can be found by superposing the point charge potentials of infinitesimal charge elements. so: over entire charge distribution Express all variables in terms of x

444 views • 11 slides

Continuous Distributions

Continuous Distributions. The distributions that we have looked at so far have involved DISCRETE Data The outcome was a natural number or a count Many Data Sources however do not always have a discrete outcome.

537 views • 37 slides

Continuous Probability Distributions

Continuous Probability Distributions. Chapter 8. 0. 1/3. 1/2. 1. 2/3. 8.2 Continuous Probability Distributions. A continuous random variable has an uncountably infinite number of values in the interval (a,b).

650 views • 45 slides

Continuous Probability Distributions

b. a. . s. a. m. b. . Continuous Probability Distributions. Exponential Distribution. Uniform Distribution. Triangular Distribution. Normal Distribution. Continuous Probability Distributions. The probability of the continuous random variable assuming a specific value is 0.

2.29k views • 36 slides

Electric Fields Due to Continuous Charge Distributions

Electric Fields Due to Continuous Charge Distributions. Continuous Charge Distributions. The distances between charges in a group of charges may be much smaller than the distance between the group and a point of interest.

910 views • 24 slides

More Related