The natural logarithm function, ln, is defined so that elnx=xfor any positive numberx.
aSketch a graph of the natural logarithm function.
b Prove the identities
localid="1650331641178" lnab=lna+lnbandlocalid="1650331643409" lnab=blna
(c) Prove thatlocalid="1650331645612" ddxlnx=1x.
(d) Derive the useful approximation

localid="1650331649052" ln(1+x)x

which is valid when localid="1650331651790" |x|1. Use a calculator to check the accuracy of this approximation for localid="1650331654235" x=0.1and localid="1650331656447" x=0.01.

Short Answer

Expert verified

Part a

aA plot of natural logarithm function graph as,

Part b

bThe identities of lnab=lna+lnband lnab=blnahas Proved.

Part role="math" localid="1650333017121" c

role="math" localid="1650333020819" cThe derivative of ddxlnx=1xhas Proved.

Part role="math" localid="1650333023915" d

role="math" localid="1650333027428" dThe accuracy of this approximation isln(1+0.1)=ln(1.1)=0.09531,ln(1+0.01)=ln(1.01)=0.00995.

Step by step solution

01

Step: 1 Sketching the graph: (part a)

The logarithm base eis

eln(x)=x

A plot of natural logarithm function graph as

02

Step: 2 Proving identities: (part b)

The product logarithm is

eln(x)=x

Where, x=abas

eln(ab)=ab

If eln(a)=a;eln(b)=bas

eln(ab)=ab=eln(a)eln(b)eln(ab)=eln(a)+ln(b)ln(ab)=ln(a)+ln(b)

For exponents as,

eln(x)=x

If x=abis

elnab=ab

where,eln(a)=ais

elnab=eln(a)b=ebln(a)lnab=bln(a)

03

Step: 3 Proving Derivative: (part c)

Using implicit differentiation as

eln(x)=x

Taking derivative on both sides as

role="math" localid="1650332642512" ddxeln(x)=ddxxddxeln(x)=1

Using exponential as

ddxey=eyddxyeln(x)ddxln(x)=1

Whereeln(x)=xas

xddxln(x)=1ddxln(x)=1x

04

Step: 4 Finding accuracy approximation: (part d)

By Taylor's formula

f(x)=fx0+dfdxx0xx0+

If ln(1+x)atx0=0as

ln(1+x)=ln(1+0)+(x0)d(ln(1+x))dx0ln(1+x)=0+(x)11+x0=(x)11+0ln(1+x)=x

Where x=0.1

ln(1+0.1)=ln(1.1)=0.09531

Which is nearly close to 0.1.

Where x=0.01

ln(1+0.01)=ln(1.01)=0.00995

The approximation is nice here.

Unlock Step-by-Step Solutions & Ace Your Exams!

  • Full Textbook Solutions

    Get detailed explanations and key concepts

  • Unlimited Al creation

    Al flashcards, explanations, exams and more...

  • Ads-free access

    To over 500 millions flashcards

  • Money-back guarantee

    We refund you if you fail your exam.

Over 30 million students worldwide already upgrade their learning with Vaia!

One App. One Place for Learning.

All the tools & learning materials you need for study success - in one app.

Get started for free

Most popular questions from this chapter

The mathematics of the previous problem can also be applied to a one-dimensional random walk: a journey consisting of Nsteps, all the same sic, cache chosen randomly to be cither forward or backward. (The usual mental image is that of a drunk stumbling along an alley.)

(a) Where are you most likely to find yourself, after the end of a long random walk?

(b) Suppose you take a random walk of 10,000steps (say each a yard long). About how far from your starting point would you expect to be at the end?

(c) A good example of a random walk in nature is the diffusion of a molecule through a gas; the average step length is then the mean free path, as computed in Section 1.7.Using this model, and neglecting any small numerical factors that might arise from the varying step size and the multidimensional nature of the path, estimate the expected net displacement of an air molecule (or perhaps a carbon monoxide molecule traveling through air) in one second, at room temperature and atmospheric pressure. Discuss how your estimate would differ if the clasped time or the temperature were different. Check that your estimate is consistent with the treatment of diffusion in Section1.7.

How many possible arrangements are there for a deck of 52playing cards? (For simplicity, consider only the order of the cards, not whether they are turned upside-down, etc.) Suppose you start w e in the process? Express your answer both as a pure number (neglecting the factor of k) and in SI units. Is this entropy significant compared to the entropy associated with arranging thermal energy among the molecules in the cards?

Suppose you flip 20 fair coins.

(a) How many possible outcomes (microstates) are there?

(b) What is the probability of getting the sequence HTHHTTTHTHHHTHHHHTHT (in exactly that order)?

(c) What is the probability of getting 12 heads and 8 tails (in any order)?

Consider a two-state paramagnet with 1023elementary dipoles, with the total energy fixed at zero so that exactly half the dipoles point up and half point down.

(a) How many microstates are "accessible" to this system?

(b) Suppose that the microstate of this system changes a billion times per second. How many microstates will it explore in ten billion years (the age of the universe)?

(c) Is it correct to say that, if you wait long enough, a system will eventually be found in every "accessible" microstate? Explain your answer, and discuss the meaning of the word "accessible."

Use Stirling's approximation to find an approximate formula for the multiplicity of a two-state paramagnet. Simplify this formula in the limit NNto obtain ΩNe/NN. This result should look very similar to your answer to Problem 2.17; explain why these two systems, in the limits considered, are essentially the same.

See all solutions

Recommended explanations on Physics Textbooks

View all explanations

What do you think about this solution?

We value your feedback to improve our textbook solutions.

Study anywhere. Anytime. Across all devices.

Sign-up for free