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# What is a math dictionary?

A math dictionary (or a mathematics dictionary) is usually a dictionary of the definitions of common mathematical terms, formulae and examples of common diagrams and pictures for the uninitiated or those learning math.

8.875 times.

# What does it mean to solve a system of linear equations?

Find values for each of the unknown variables (or at least as many as is possible for the system) that satisfy all the equations.

# Dot and cross product between 3D and 4D?

A) A tridimensional vector

B) A 4D vector

C) A 5D vector

D) An scalar number

E) It is undefined

# What if there is no slope stated in the math question?

Answer: When there is no slope stated in the function of x, when y=mx+b It simply means y=0x+b Since "b" is the y intercept, your line would be a horizontal line parallel to the X-axis passing through point (0,b)

Answer: In other cases, you may need to calculate the slope first, from some other information provided. For example, if you are asked to find the equation that passes through two specified points, you can first find the slope between those two points. Then you can use this slope, and one of the points, with the slope-intercept form of the equation.

# Is every unitary matrix hermitian?

Absolutely not.

They are rather quite different: hermitian matrices usually change the norm of vector while unitary ones do not (you can convince yourself by taking the spectral decomposition: eigenvalues of unitary operators are phase factors while an hermitian matrix has real numbers as eigenvalues so they modify the norm of vectors). So unitary matrices are good "maps" whiule hermitian ones are not.

If you think about it a little bit you will be able to demonstrate the following:

for every Hilbert space except C^2 a unitary matrix cannot be hermitian and vice versa.

For the particular case H=C^2 this is not true (e.g. Pauli matrices are hermitian and unitary).

# How do you graph if there is no slope?

A line with no slope is a vertical line. The slope is undefined, and cannot be represented by a real number.

A horizontal line has a slope, but the slope is zero.

Consider the "y = mx + b" form of the straight line equation. For a horizontal line the slope is zero, so y = 0x +b => y = b, which is the equation of a horizontal line. For a vertical line, there is no slope, so you can't substitute for m; the equation can't be written in the form y = mx +b. The equation of a vertical line has the form x = a.

# How do you solve systems of linear equations by elimination with decimal coefficient?

I will give a simple example just to illustrate the idea, but all you have to do is multiply any of the equations by a constant to make them inversely additive values and add the equations.

.2x-.5y = 10

.5x+.3y = 15

.2 = 1/5 and .5 = 1/2 so if I multiply the first equation by -5 and the second by 2, we get the system:

-x+2.5y = -50

x+.6y = 30

(-x+2.5y = -50) + (x+.6y = 30) = (3.1y = -20)

Solving for the variables, we get y = -6.452 and x = 33.871

# What is a non-example of linear?

It is possible to give an example of non-linear, but I have no idea what a non-example is.

Is a non-example of linear a curve. That would be my first thought but not sure

# What is inconsistent equation?

An inconsistent equation (or system of equations) is one that has no possible solutions.

# What is the Time complexity of transpose of a matrix?

Transposing a matrix is O(n*m) where m and n are the number of rows and columns. For an n-row square matrix, this would be quadratic time-complexity.

# What are the LACSAP fractions?

The LACSAP fractions are a set of fractions set in a geometric pattern that are part of one of the two portfolio any International Baccalaureate - Diploma student must complete.

# What does eight fifths equal?

1 whole and 3/5

8/5 = 1 3/5 = 1.6

# Is an invertible idempotent matrix the identity matrix?

The assertion is true.

Let A be an idempotent matrix. Then we have A.A=A. Since A is invertible, multiplying A-1 to both sides of the equality, we get A = I.

Q. E. D

# If A is an orthogonal matrix then why is it's inverse also orthogonal?

First let's be clear on the definitions.
A matrix M is orthogonal if MT=M-1
Or multiply both sides by M and you have
1) M MT=I
or
2) MTM=I

Where I is the identity matrix.

So our definition tells us a matrix is orthogonal if its transpose equals its inverse or if the product ( left or right) of the the matrix and its transpose is the identity.

Now we want to show why the inverse of an orthogonal matrix is also orthogonal.

Let A be orthogonal. We are assuming it is square since it has an inverse.

Now we want to show that A-1 is orthogonal.
We need to show that the inverse is equal to the transpose.
Since A is orthogonal, A=AT
Let's multiply both sides by A-1

A-1 A= A-1 AT
Or A-1 AT =I
Compare this to the definition above in 1) (M MT=I)
do you see how A-1 now fits the definition of orthogonal?
Or course we could have multiplied on the left and then we would have arrived at 2) above.

# Do commutative matrices have the same eigenvectors?

It is true that diagonalizable matrices A and B commute if and only if they are simultaneously diagonalizable. This result can be found in standard texts (e.g. Horn and Johnson, Matrix Analysis, 1999, Theorem 1.3.12.)

One direction of the if and only if proof is straightforward, but the other direction is more technical:

If A and B are diagonalizable matrices of the same order, and have the same eigenvectors, then, without loss of generality, we can write their diagonalizations as A = VDV-1 and B = VLV-1, where V is the matrix composed of the basis eigenvectors of A and B, and D and L are diagonal matrices with the corresponding eigenvalues of A and B as their diagonal elements. Since diagonal matrices commute, DL = LD. So, AB = VDV-1VLV-1 = VDLV-1 = VLDV-1 = VLV-1VDV-1 = BA.

The reverse is harder to prove, but one online proof is given below as a related link. The proof in Horn and Johnson is clear and concise.

Consider the particular case that B is the identity, I. If A = VDV-1 is a diagonalization of A, then I = VIV-1 is a diagonalization of I; i.e., A and I have the same eigenvectors.

# Cross product is not difine in two space why?

When performing the cross product of two vectors (vector A and vector B), one of the properites of the resultant vector C is that it is perpendicular to both vectors A & B. In two dimensional space, this is not possible, because the resultant vector will be perpendicular to the plane that A & B reside in. Using the (i,j,k) unit vector notation, you could add a 0*k to each vector when doing the cross product, and the resultant vector will have zeros for the i & jcomponents, and only have k components.

Two vectors define a plane, and their cross product is always a vector along the normal to that plane, so the three vectors cannot lie in a 2D space which is a plane.

# How do you find eigenvalues of a 3 by 3 matrix?

Call your matrix A, the eigenvalues are defined as the numbers e for which a nonzero vector v exists such that Av = ev. This is equivalent to requiring (A-eI)v=0 to have a non zero solution v, where I is the identity matrix of the same dimensions as A. A matrix A-eI with this property is called singular and has a zero determinant. The determinant of A-eI is a polynomial in e, which has the eigenvalues of A as roots. Often setting this polynomial to zero and solving for e is the easiest way to compute the eigenvalues of A.

# How do you use matrices in engineering field?

One common use is in solving simultaneous linear equations.

# What is the integral of 1 divided by x squared?

The indefinite integral of (1/x^2)*dx is -1/x+C.

5 6 0

1 3 2

0 2 1

# Mat 116 week 4 quiz answers?

Graph the line containing the given pair of point and find the slope

(0,2 -5,4)

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