The document discusses factorizing complex expressions. It states that if a polynomial's coefficients are real, its roots will appear in complex conjugate pairs. Any polynomial of degree n can be factorized as a mixture of quadratic and linear factors over real numbers or fully factorized into n linear factors over complex numbers. Odd degree polynomials must have at least one real root. Examples of factorizing polynomials over both real and complex numbers are provided.
The document discusses finding the locus of complex numbers ω or z given some condition on ω or z, where ω = f(z). It provides examples of determining the locus when:
1) ω is purely real or purely imaginary
2) The argument of a linear function of ω or z is equal to an angle θ
3) z satisfies the condition w = (z + 1)/(z - 1) and w is purely real
In the examples, it is shown that the loci are circles, lines, or the real axis depending on the specific condition given. The steps involve making the condition the subject of the equation and then solving to determine the locus.
The document discusses representing complex numbers geometrically using vectors on the Argand diagram. It shows that complex numbers can be represented as vectors, with the modulus being the vector's length and the argument being the angle from the positive x-axis. Addition and subtraction of complex numbers is demonstrated by placing the vectors head to tail or head to head, respectively, to form a parallelogram. The property that the length of one diagonal of a parallelogram is less than the sum of the other two sides is used to prove the inequality between subtraction and addition of complex numbers.
The document discusses representing complex numbers geometrically using vectors on an Argand diagram. It explains that complex numbers can be represented as vectors, with addition of complex numbers corresponding to placing the vectors head to tail and subtraction corresponding to head to head placement. It also discusses properties like the triangle inequality for complex number operations and representing multiplication as scaling of the vector.
The document discusses representing complex numbers geometrically using vectors on an Argand diagram. It states that complex numbers can be represented as vectors, with the advantage that vectors can be moved around the diagram while preserving their length and angle. It describes how to add and subtract complex numbers by placing the vectors head to tail or head to head, forming a parallelogram. It also discusses the triangular inequality property as it applies to complex number addition and subtraction.
The document discusses the geometric representation of complex numbers using vectors on the Argand diagram. It explains that complex numbers can be represented as vectors, with the real part of the number as the x-coordinate and imaginary part as the y-coordinate of the vector. Addition and subtraction of complex numbers corresponds to placing the vectors head to tail and head to head, respectively. Properties like the parallelogram law and triangle inequality are demonstrated. Multiplication of complex numbers is shown to be equivalent to multiplying the magnitudes and adding the arguments of the vectors.
X2 T01 09 geometrical representation of complex numbersNigel Simmons
The document discusses representing complex numbers geometrically using vectors on the Argand diagram. It explains that complex numbers can be represented as vectors, with the advantage that vectors can be moved around without changing their modulus (length) or argument (angle from the x-axis). It describes how to perform addition and subtraction of complex numbers by placing the vectors head to tail or head to head, respectively, and discusses properties like the parallelogram law.
Slideshare is discontinuing its Slidecast feature as of February 28, 2014. Existing Slidecasts will be converted to static presentations without audio by April 30, 2014. The document informs users that new slidecasts can be found on myPlick.com or the author's blog starting in 2014. However, myPlick proved unreliable, so future slidecasts will instead be hosted on the author's YouTube channel.
The document discusses factorizing complex expressions. It states that if a polynomial's coefficients are real, its roots will appear in complex conjugate pairs. Any polynomial of degree n can be factorized as a mixture of quadratic and linear factors over real numbers or fully factorized into n linear factors over complex numbers. Odd degree polynomials must have at least one real root. Examples of factorizing polynomials over both real and complex numbers are provided.
The document discusses finding the locus of complex numbers ω or z given some condition on ω or z, where ω = f(z). It provides examples of determining the locus when:
1) ω is purely real or purely imaginary
2) The argument of a linear function of ω or z is equal to an angle θ
3) z satisfies the condition w = (z + 1)/(z - 1) and w is purely real
In the examples, it is shown that the loci are circles, lines, or the real axis depending on the specific condition given. The steps involve making the condition the subject of the equation and then solving to determine the locus.
The document discusses representing complex numbers geometrically using vectors on the Argand diagram. It shows that complex numbers can be represented as vectors, with the modulus being the vector's length and the argument being the angle from the positive x-axis. Addition and subtraction of complex numbers is demonstrated by placing the vectors head to tail or head to head, respectively, to form a parallelogram. The property that the length of one diagonal of a parallelogram is less than the sum of the other two sides is used to prove the inequality between subtraction and addition of complex numbers.
The document discusses representing complex numbers geometrically using vectors on an Argand diagram. It explains that complex numbers can be represented as vectors, with addition of complex numbers corresponding to placing the vectors head to tail and subtraction corresponding to head to head placement. It also discusses properties like the triangle inequality for complex number operations and representing multiplication as scaling of the vector.
The document discusses representing complex numbers geometrically using vectors on an Argand diagram. It states that complex numbers can be represented as vectors, with the advantage that vectors can be moved around the diagram while preserving their length and angle. It describes how to add and subtract complex numbers by placing the vectors head to tail or head to head, forming a parallelogram. It also discusses the triangular inequality property as it applies to complex number addition and subtraction.
The document discusses the geometric representation of complex numbers using vectors on the Argand diagram. It explains that complex numbers can be represented as vectors, with the real part of the number as the x-coordinate and imaginary part as the y-coordinate of the vector. Addition and subtraction of complex numbers corresponds to placing the vectors head to tail and head to head, respectively. Properties like the parallelogram law and triangle inequality are demonstrated. Multiplication of complex numbers is shown to be equivalent to multiplying the magnitudes and adding the arguments of the vectors.
X2 T01 09 geometrical representation of complex numbersNigel Simmons
The document discusses representing complex numbers geometrically using vectors on the Argand diagram. It explains that complex numbers can be represented as vectors, with the advantage that vectors can be moved around without changing their modulus (length) or argument (angle from the x-axis). It describes how to perform addition and subtraction of complex numbers by placing the vectors head to tail or head to head, respectively, and discusses properties like the parallelogram law.
Slideshare is discontinuing its Slidecast feature as of February 28, 2014. Existing Slidecasts will be converted to static presentations without audio by April 30, 2014. The document informs users that new slidecasts can be found on myPlick.com or the author's blog starting in 2014. However, myPlick proved unreliable, so future slidecasts will instead be hosted on the author's YouTube channel.
The document discusses different methods for factorising expressions:
1) Looking for a common factor and dividing it out of all terms
2) Using the difference of two squares formula (a2 - b2 = (a - b)(a + b))
3) Factorising quadratic trinomials into two binomial factors by identifying the values that multiply to give the constant term and sum to give the coefficient of the linear term.
The document provides information on index laws and the meaning of indices in algebra:
- Index laws state that am × an = am+n, am ÷ an = am-n, and (am)n = amn. Exponents can be added or subtracted when multiplying or dividing terms with the same base.
- Positive exponents indicate a term is raised to a power. Negative exponents indicate a root is being taken. Terms with exponents are evaluated from left to right.
- Examples demonstrate how to simplify expressions using index laws and interpret different types of indices.
12 x1 t01 03 integrating derivative on function (2013)Nigel Simmons
The document discusses integrating derivatives of functions. It states that the integral of the derivative of a function f(x) is equal to the natural log of f(x) plus a constant. It then provides examples of integrating several derivatives: (i) ∫(1/(7-3x)) dx = -1/3 log(7-3x) + c, (ii) ∫(1/(8x+5)) dx = 1/8 log(8x+5) + c, and (iii) ∫(x5/(x-2)) dx = 1/6 log(x6-2) + c. It also discusses techniques for integrating fractions by polynomial long division and finds
The document discusses logarithms and their properties. Logarithms are defined as the inverse of exponentials. If y = ax, then x = loga y. The natural logarithm is log base e, written as ln. Properties of logarithms include: loga m + loga n = loga mn; loga m - loga n = loga(m/n); loga mn = n loga m; loga 1 = 0; loga a = 1. Examples of evaluating logarithmic expressions are provided.
The document discusses relationships between the coefficients and roots of polynomials. It states that for a polynomial P(x) = axn + bxn-1 + cxn-2 + ..., the sum of the roots equals -b/a, the sum of the roots taken two at a time equals c/a, and so on for higher order terms. It also provides examples of using these relationships to find the sums of roots for a given polynomial.
P
4
3
2
The document discusses properties of polynomials with multiple roots. It first proves that if a polynomial P(x) has a root x = a of multiplicity m, then the derivative of P(x), P'(x), will have a root x = a of multiplicity m-1. It then provides an example of solving a cubic equation given it has a double root. Finally, it examines a quartic polynomial and shows that its root α cannot be 0, 1, or -1, and that 1/
The document discusses factorizing complex expressions. The main points are:
- If a polynomial's coefficients are real, its roots will appear in complex conjugate pairs.
- Any polynomial of degree n can be factorized into a mixture of quadratic and linear factors over real numbers, or into n linear factors over complex numbers.
- Odd degree polynomials must have at least one real root.
- Examples of factorizing polynomials over both real and complex numbers are provided.
The document describes the Trapezoidal Rule for approximating the area under a curve between two points. It shows that the area A is estimated by dividing the region into trapezoids with height equal to the function values at the interval endpoints and bases equal to the intervals. In general, the area is approximated as the sum of the areas of each trapezoid, which is equal to the average of the endpoint function values multiplied by the interval length.
The document discusses methods for calculating the volumes of solids of revolution. It provides formulas for finding volumes when an area is revolved around either the x-axis or y-axis. Examples are given for finding volumes of common solids like cones, spheres, and others. Steps are shown for using the formulas to calculate volumes based on given functions and limits of revolution.
The document discusses different methods for calculating the area under a curve or between curves.
(1) The area below the x-axis is given by the integral of the function between the bounds, which can be positive or negative depending on whether the area is above or below the x-axis.
(2) To calculate the area on the y-axis, the function is solved for x in terms of y, then the bounds are substituted into the integral of this new function with respect to y.
(3) The area between two curves is calculated by taking the integral of the upper curve minus the integral of the lower curve, both between the same bounds on the x-axis.
The document discusses 8 properties of definite integrals:
1) Integrating polynomials results in a fraction.
2) Constants can be factored out of integrals.
3) Integrals of sums are equal to the sum of integrals.
4) Splitting an integral range results in the sum of the integrals.
5) Integrals of positive functions over a range are positive, and negative if the function is negative.
6) Integrals can be compared based on the relative values of the integrands.
7) Changing the limits of integration flips the sign of the integral.
8) Integrals of odd functions over a symmetric range are zero, and integrals of even functions are twice the integral over
0
The document discusses the relationship between integration and calculating the area under a curve. It shows that the area under a curve from x=a to x=b can be calculated as the integral from a to b of the function f(x) dx. This is equal to the antiderivative F(x) evaluated from b to a. The area under a curve can also be estimated using rectangles, and as the width of the rectangles approaches 0, the estimate becomes the exact area. The derivative of the area function A(x) gives the equation of the curve f(x). Examples are given to calculate the exact area under curves.
14. e.g . z 1 i z 2 i
x 12 y 12 x 22 y 12
15. e.g . z 1 i z 2 i
x 12 y 12 x 22 y 12
x2 2x 1 y2 2 y 1 x2 4x 4 y2 2 y 1
16. e.g . z 1 i z 2 i
x 12 y 12 x 22 y 12
x2 2x 1 y2 2 y 1 x2 4x 4 y2 2 y 1
6x 4 y 3 0
17. e.g . z 1 i z 2 i
x 12 y 12 x 22 y 12
x2 2x 1 y2 2 y 1 x2 4x 4 y2 2 y 1
6x 4 y 3 0
OR bisector of 1,1 and 2,1
18. e.g . z 1 i z 2 i
x 12 y 12 x 22 y 12
x2 2x 1 y2 2 y 1 x2 4x 4 y2 2 y 1
6x 4 y 3 0
OR bisector of 1,1 and 2,1
M 1 2 ,1 1
2 2
1
,0
2
19. e.g . z 1 i z 2 i
x 12 y 12 x 22 y 12
x2 2x 1 y2 2 y 1 x2 4x 4 y2 2 y 1
6x 4 y 3 0
OR bisector of 1,1 and 2,1
M 1 2 ,1 1 11
m
2 2 1 2
1
2
,0
2 3
20. e.g . z 1 i z 2 i
x 12 y 12 x 22 y 12
x2 2x 1 y2 2 y 1 x2 4x 4 y2 2 y 1
6x 4 y 3 0
OR bisector of 1,1 and 2,1
M 1 2 ,1 1 11
m
2 2 1 2
1
2 3
,0 required slope is
2 3 2
21. e.g . z 1 i z 2 i
x 12 y 12 x 22 y 12
x2 2x 1 y2 2 y 1 x2 4x 4 y2 2 y 1
6x 4 y 3 0
OR bisector of 1,1 and 2,1
M 1 2 ,1 1 11
m
2 2 1 2
1
2 3
,0 required slope is
2 3 2
3 1
y0 x
2 2
22. e.g . z 1 i z 2 i
x 12 y 12 x 22 y 12
x2 2x 1 y2 2 y 1 x2 4x 4 y 2 2 y 1
6x 4 y 3 0
OR bisector of 1,1 and 2,1
M 1 2 ,1 1 11
m
2 2 1 2
1
2 3
,0 required slope is
2 3 2
3 1
y0 x
2 2
3
2 y 3 x
2
6x 4 y 3 0