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Numerical Series Expansion

Mathematicians, scientists, and engineers often need solutions for difficult to unsolvable equations in order to progress in their work. Fortunately, through various methods of numerical and polynomial series expansions, some of the most problematic equations can be approximated to easily workable forms. Please post all questions regarding the various expansions and series, such as the Taylor and Maclaurin series expansions, the binomial expansion, and the geometric expansion, as well as the rules that govern them, into this category.

274 Questions

Can properties of a function be discovered from its Maclaurin series Give examples.?

Best example is that an "odd" (or "even") function's Maclaurin series only has terms with odd (or even) powers. cos(x) and sin(x) are examples of odd and even functions with easy to calculate Maclaurin series.

What is the relationship between frequency and harmonics?

Relationship Between Frequency and HarmonicsThe frequency is the fundamental frequency or the operating frequency, and the harmonics are multiples of that frequency which are generally of less amplitude. It's something that's inherent in non-sinusoidal oscillators, like sawtooth oscillators.

In digital, there's also usually a sinusoidal oscillator which is either built in or external, but the oscillations are converted into square waves to create a clock pulse which negates the harmonics.
There is a little problem in counting the harmonics and the overtones. So you find different statements in the internet. Some are wrong and some are right.
Scroll down to related links and look at "Calculations of Harmonics from Fundamental Frequency".

What are the characteristics of continuous distribution?

The probability distribution function (pdf) is defined over a domain which contains at least one interval in which the pdf is positive for all values.

Usually the domain is either the whole of the real numbers or the positive real numbers, but it can be a finite interval: for example, the uniform continuous distribution.

Also, trivially,

the pdf is always non-negative,

the integral of the pdf, over the whole real line, equals 1.

How do you prove Euler's formula?

Euler's formula states that eix = cos(x) + isin(x) where i is the imaginary number and x is any real number.

First, we get the power series of eix using the formula:

ez = Σ∞n=o zn/n! where z = ix. That gives us:

1 + ix + (ix)2/2! + (ix)3/3! + (ix)4/4! + (ix)5/5! + (ix)6/6! + (ix)7/7! + (ix)8/8! + ...

which from the properties of i equals:

1 + ix - x2/2! - ix3/3! + x4/4! + ix5/5! - x6/6! - ix7/7! + x8/8! + ...

which equals:

(1 - x2/2! + x4/4! - x6/6! + x8/8! - ...) + i(x - x3/3! + x5/5! - x7/7! + ...).

These two expressions are equivalent to the Taylor series of cos(x) and sin(x). So, plugging those functions into the expression gives cos(x) + isin(x).

Q.E.D.

Of course, were you to make x = п in Euler's formula, you'd get Euler's identity:

eiπ = -1

It depends on your definitionThe question presumes that someone has already given a definition of the exponential function for complex numbers. But has this definition been given? If so, what is this official definition?

The answer above assumes that the exponential function is defined, for all complex numbers, by its power series. (Or, at least, that someone else has already proved that the power series definition is equivalent to whatever we're taking to be the official definition).

So the answer depends critically on what the definition of the exponential function for complex numbers is.

Suppose you know everything about the real numbers, and you're trying to build up a theory of complex numbers. Most people probably view it this way: Mathematical objects such as complex numbers are out there somewhere, and we have to find them and work out their properties. But mathematicians look at it slightly differently. If we can construct a thing which has all the properties we feel the field of complex numbers should have, then for all practical purposes the field of complex numbers exists. If we can define a function on that field which has all the properties we think exponentiation on the complex numbers should have, then that's as good as proving that complex numbers have exponentials. Mathematicians are comfortable with weird things like complex numbers, not because they have proved that they exist as such, but because they have proved that their existence is consistent with everything else. (Unless everything else is inconsistent, which would be a real pain but is very unlikely.)

So how do we construct this exponential function? One approach would be simply to define it by exp(x+iy) = ex(cos(y)+i.sin(y)). Then the answer to this question would be trivial: exp(iy) = exp(0+iy) = e0(cos(y)+i.sin(y)) = cos(y)+.sin(y). But you'd still have some work to do to prove things like exp(z+w) = exp(z).exp(w). Alternatively, you could define the exponential function by its power series. (There's a theorem that lets you calculate the radius of convergence, and that tells us the radius is infinite, i.e. the power series works everywhere.) Or maybe you could try something like proving that the equation dw/dz = w has a unique solution up to a multiplicative constant, and defining the exponential function to be the solution which satisfies w=1 at z=0.

Let z = cos(x) + i*sin(x)

dz/dx = -sin(x) + i*cos(x)

= i*(i*sin(x) + cos(x))

= i*(cos(x) + i*sin(x))

= i*(z)

therefore dz/dx = iz

(1/z)dz = i dx

INT((1/z)dz = INT(i dx)

ln(z) = ix+c

z = e(ix+c)

Substituting x=0, we get cos(0) + i*sin(0) = e(0i+c)

1+0 = e(0+c)

e(0+c) = 1

therefore c=0

z = eix

eix = cos(x) + i*sin(x)

Substituting x=pi, we get e(i*pi) = -1 + 0

e(i*pi) = -1

e(i*pi) + 1 = 0

qED

What is the harmonic series?

The harmonic series is a sequence of notes and frequencies. These notes occurr naturally, even resonating in natural cave formations and cathedrals. It has to do with the natural fractions of a frequency. Imagine a string vibrating. It creates a kind of elongated "jump rope" shape. Now imagine that we have placed a weight in that jumprope so that it is held down perfectly in half causing each side to rotate separately but in unison. This devision causes the note to jump up an octave on a stringed instrument. When you continue to make these devisions in the jump rope, (halfs, thirds quarters fifths, etc) the notes will sound in a specific series, starting with the first note (or open string), then a perfect octave above that, then a perfect fifth above that, then a perfect fourth, Major Third, Minor Third etc.

The issue of the harmonic series is a complicated one because as one progresses up the natural order of fractions, the notes become imperfect or out of tune with one another. This is why today we have a tempered tuning system for our pianos instead of a harmonic series tuning system!

There u go

What is a tranche?

noun 1. Finance.

  1. one part or division of a larger unit, as of an asset pool or investment: The loan will be repaid in three tranches.
  2. a group of securities that share a certain characteristic and form part of a larger offering: The second tranche of the bond issue has a five-year maturity.

2. any part, division, or installment: We've hired the first tranche of researchers.

verb (used with object), tranched, tranching. 3. Finance. to divide into parts: tranched debt; A credit portfolio can be tranched into a variety of components that are then further subdivided.

What is convergence of probability?

"Convergence in probability" is a technical term in relation to a series of random variables. Not clear whether this was your question though, I suggest providing more context.

What is the value of 9 in 798000?

The value of 9 is 798,000 is in the ten-thousands place, so its value is 90,000.

What is morphological convergence?

In response to similar selective pressures, evolutionarily distant lineages evolve in similar ways and end up resembling each other in appearance, function, or both.

What is the error propagation in numerical methods?

Error propagation in numerical analysis is just calculating the uncertainty or error of an approximation against the actual value it is trying to approximate. This error is usually shown as either an absolute error, which shows how far away the approximation is as a number value, or as a relative error, which shows how far away the approximation is as a percentage value.

What is the difference between arithmetic and geometric progress series with example?

Arithmetic, you ADD the same number each time, eg. 2, 5, 8, 11 etc.

Geometric, you MULTIPLY by the same number each time, eg. 2, 6, 18, 54 etc.