Mathematical Analysis

Charles Darwin

10

A complex number is a number of the form a + bi, where a and b are real numbers and i is the principal square root of -1. In the special case where b=0, a+0i=a. Hence every real number is also a complex number. And in the special case where a=0, we call those numbers pure imaginary numbers.

Note that 0=0+0i, therefore 0 is both a real number and a pure imaginary number.

Do not confuse the complex numbers with the pure imaginary numbers.

Every real number is a complex number and every pure imaginary number is a complex number also.

This is the same as example 2 in the link below

The reason main sequence has a limit at the lower end is because of temperature and pressure. The lower limit exists in order to exclude stellar objects that are not able to sustain hydrogen fusion.

Traditionally, and in my learning experiences, calculus is taught in three stages, often referred to as Calculus I, Calculus II, and Calculus III (often shortened to Calc I, Calc II, Calc III). You are asking about Calculus I only, but it is easy to explain all three.

Calc I usually covers only derivative calculus, Calc II covers integral calculus and infinite series, and Calc III covers both derivative and integral calculus, but in multiple variables instead of only one independent variable ( xyz = x+y+z as opposed to y = x). This is a traditional collegiate leveling of calculus. This is often changed around in secondary education (in the United States at least). Programs such as AP Calculus often change around this order. AP Calculus AB covers Calc I and introduces Calc II, while AP Calculus BC covers the remainder of Calc II.

Now that you know the subject matter, what does it mean? Derivative calculus is a generalized category meant to encompass the computation and application of only derivatives, which are basically rates of change of a mathematical function. A basic mathematical function such as y = x + 2 describes a mathematical relationship: for every additional independent variable "x", a dependent variable "y" will have a value of (x + 2). But, how do you describe how quickly the value of "y" changes for each additional "x"? This is where derivatives come from. The derivative of the function y = x + 2, as you would learn in Calc I, is y' = 1. This means that y changes at a constant rate (called y') of "1" for each additional x. In more familiar terms, this is the slope of this function's graph.

However, not all functions have constant slopes. What about a parabola, or any other "curvy" graph? The "slopes" of these graphs would be different for any given value of a dependent variable "x". A function such as y = x2 + 2 would have a derivative, as you would learn in Calc I, of y' = 2x, meaning that the original value of "y" will change at a rate of two times the value of "x" (2x), for each additional increment of "x".

You can continue into further derivatives, called second, third, fourth (and so on) derivatives, which are derivatives of derivatives. This is essentially asking "At what rate does a derivative change?".

The beginning of Calc I is concerned with introducing what a derivative is, ways to describe the behavior of mathematical functions, and how to compute derivatives. After this introduction is complete, you will begin to apply derivatives to mathematical problems. The description of how derivatives are used to solve these problems is not worth going into, because it would be better for you to connect derivatives to their applications on your own, but you can use derivatives to answer such questions as:

What is the maximum/minimum value of a mathematical function on a given interval or on its entire domain?

This kind of knowledge can be applied like so: Suppose a mathematical function is found that describes the volume of a box. Knowing that you can use the derivative of this function to find its maximum value, you can then find what value of a certain variable will yield the maximum volume of the box.

Another type of application is called a "related rates" problem, in which a known mathematical relationship is used with some given information to describe another property. A question of this type could be: Suppose you have a cylindrical tank of water with a small hole in the bottom, and you measure that the water is flowing out at 2 gallons per minute. At what rate is the height of the water in the tank changing? (This is a simple related rates problem).

A full description of integral calculus (Calc II and a basis of Calc III), would take far too long to explain, and it would be easier to explain once you have taken Calc I. Calc III takes the same idea as Calc I and Calc II, but instead of one independent variable "x" changing one dependent variable "y", there are several variables, although in most applications you will only see three, "x", "y", and "z", although the ideas you will learn in the class will apply to potentially infinite variables. The basic ideas of derivatives and integrals will hold here, but the mathematical methods needed and applications possible with multiple variables require additional learning.

Yes it is Prime.

simple study hard

ANSWER: b) Rs18

method:

16kg at Rs 11.5/kg.

therefore total cost=16*11.5=Rs184

14kg at Rs14.5/kg

therefore total cost=14*14.5=Rs203

Net cost=203+184=Rs387

It is sold at Rs13.5/kg.

Net selling price for all 30kg=13,5*30=Rs 405

Gain in the transaction=405-387=Rs 18

facebook

Equivalent Fractions

If necessary, rearrange the linear equation so that it is in the slope-intercept form:

y = mx + c

Then the gradient of the line is m.

1 km is about 0.6 miles

0.6 x 4 = 2.4 miles

Tetrahedron - basic to theory of chemical bonds and one of the classic Platonic solid shapes

gonna keep this short and 2 the point .. i had the same question and i found this webpage .. it helped me a lot .. so try reading it hope it helps u out .. www.dartmouth.edu/~sullivan/22files/Laplace_Transforms.pdf

The dot-product and cross-product are used in high order physics and math when dealing with matrices or, for example, the properties of an electron (spin, orbit, etc.).

A special function in computerized modeling that calculates a series of numbers based on various inputs and outputs of y=cos(x). The output of this function creates all sorts of visual curves (if graphed) when run with a wide range of numbers (from a .jpeg or .mp3 file, for example), and it creates a very useful and efficient compression/decompression of frequencies (both of sound and light) that we normally experience in nature.

What makes this transform so special is that there are certian harmonics and overtones that must be present, (but not perfectly/exactly reproduced) for the viewer/listener to believe that the picture or sound is real. There are many different "functions" that can be used for this compression, but the COSINE transform most closely re-creates the harmonics and overtones the closest to what the normal frequencies (or colors in light frequency), and it is very good at "fooling" the eye or the ear in believing that all the data is there, and it can very quickly give a 10

0.833333333333333333333 repeating

Zero, always.

The slope is always positive

A negative slope will always pass through quadrant II and IV

0.5 - 0.25 = 0.25

Percent is the same as over 100. For example, 23% is the same as 23/100.

Because division by 0 is not defined.

62.5%.

Because only the magnitudes are multiplied.