Let V be a finite dimensional vector space over R. If S is a set of elements in V such that Span(S) = V ,
what is the relationship between S and the basis of V ?
In: Advanced Math
Determine whether each of these proposed definitions is
a valid recursive definition of a function f from the set
of nonnegative integers to the set of integers. If f is well
defined, find a formula for f (n) when n is a nonnegative
integer and prove that your formula is valid.
e) f (0) = 2, f (n) = f (n − 1) if n is odd and n ≥ 1 and
f (n) = 2f (n − 2) if n ≥ 2
In: Advanced Math
Let f : G → G′ be a surjective homomorphism between two groups, G and G′, and let N be a normal subgroup of G. Prove that f (N) is a normal subgroup of G′.
In: Advanced Math
Question:
Probably the most important new idea you'll encounter in real analysis is
the concept of compactness. It's the compactness of [a, b] that makes a
continuous function reach its maximum and that makes the Riemann in-
tegral exist. For subsets of R"h, there are three equivalent definitions of
compactness. The first, 9.2(1), promises convergent subsequences. The sec-
ond, 9.2(2) brings together two apparently unrelated adjectives, closed and
bounded. The third, 9.2(3), is the elegant, modern definition in terms of
open sets; it is very powerful, but it takes a while to get used to.
9.1. Definitions. Let S be a set in Rn. S is bounded if it is contained
in some ball B(0, R) about 0 (or equivalently in a ball about any point). A
collection of open sets {U} is an open cover of S if S is contained in U U(.
A finite subcover is finitely many of the Ua which still cover S. Following
Heine and Borel, S is compact if every open cover has a finite subcover.
9.2. Theorem. Compactness. The following are all equivalent conditions
on a set S in ]Rn.
(1) Every sequence in S has a subsequence converging to a point of S.
(2) S is closed and bounded.
(3) S is compact: every open cover has a finite subcover.
Criterion
(1)is the Bolzano-Weierstrass condition for compactness,
which you met for R in Theorem 8.3. The more modern Heine-Borel crite-
rion (3) will take some time to get used to. A nonclosed set such as (0, 1] is
not compact because the open cover {(1/n, oo)} has no finite subcover. An
unbounded set such as R is not compact because the open cover {(-n, n)}
has no finite subcover. This is the main idea of the first part of the proof.
Proof. We will prove that (3)->(2) -> (1) -> (3).
(3) ->(2). Suppose that S is not closed. Let a be an accumulation point
not in S. Then the open cover {{Ix - aI > 1/n}} has no finite subcover.
Suppose that S is not bounded. Then the open cover {{JxI < n}} has no
finite subcover.
(2) -> (1). Take any sequence of points in S C ]Rn. First look at just the
first of the n components of each point. Since S is bounded, the sequence
of first components is bounded. By Theorem 8.3, for some subsequence,
the first components converge. Similarly, for some further subsequence, the
second components also converge. Eventually, for some subsequence, all of
the components converge. Since S is closed, the limit is in S.
(1) =>. (3). Given an open cover {Ua}, first we find a countable subcover.
Indeed, every point x of S lies in a ball of rational radius about a rational
point, contained in some Ua. Each of these countably many balls lies in
some U,,. Let {Vi} be that countable subcover.
Suppose that {V} has no finite subcover. Choose xl in S but not in
V1. Choose X2 in S but not in V1 U V2. Continue, choosing xn in S but
not in U{V : 1 < i < n}, which is always possible because there is no finite
subcover. Note that for each i, only finitely many xn (for which n < i)
lie in V. By (1), the sequence xn has a subsequence converging to some
x in S, contained in some Vi. Hence infinitely xn are contained in Vi, a
contradiction.
9.3. Proposition. A nonempty compact set S of real numbers has a largest
element (called the maximum) and a smallest element (called the minimum).
Proof. We may assume that S has some positive numbers, by translating it
to the right if necessary. Since S is bounded, there is a largest integer part D
before the decimal place. Among the elements of S that start with D, there
is a largest first decimal place d1. Among the elements of S that start with
D.d1, there is a largest second decimal place d2. Keep going to construct
a = D.dld2d3.... By construction, a is in the closure of S.
Since S is closed, a lies in S and provides the desired maximum.
A minimum is provided by - max(-S).
In: Advanced Math
Let PN denote the vector space of all polynomials of degree N or less, with real coefficients. Let the linear transformation: T: P3 --> P1 be the second derivative. Is T onto? Explain. Is T one-to-one? What is the Kernel of T? Find the standard matrix A for the linear transformation T. Let B= {x+1 , x-1 , x2+x , x3+x2 } be a basis for P3 ; and
F={ x+2 , x-3 } be a basis for P1 . Find A F<--B ( the matrix for T relative to the bases B and F).
In: Advanced Math
Year |
Tea |
Coffee |
---|---|---|
1994 |
42.4 |
95.85 |
1995 |
42.12 |
97.28 |
1996 |
47.61 |
87.62 |
1997 |
60.86 |
92.04 |
1998 |
55.58 |
99.21 |
1999 |
50.61 |
95.63 |
2000 |
49.89 |
97.42 |
2001 |
56.77 |
93.93 |
2002 |
62.53 |
95.67 |
2003 |
68.31 |
99.25 |
2004 |
69.88 |
101.31 |
2005 |
72.99 |
101.68 |
2006 |
71.36 |
104.02 |
2007 |
90.78 |
106.09 |
2008 |
74.7 |
105.8 |
2009 |
67.15 |
102.15 |
2010 |
67.03 |
101.15 |
2011 |
87.83 |
104.05 |
2012 |
93.4 |
102.7 |
2013 |
78.9 |
105.28 |
2014 |
111.32 |
106.3 |
2015 |
98.39 |
104.96 |
2016 |
105.25 |
103.57 |
By using the definition and discussing what is relevant to the situation, interpret each of the following for both the coffee and tea data. Also, compare each for coffee and tea. Be sure to include the relevant information (state the value of or, in the case of the distribution, include the graphs) with each component.
In: Advanced Math
Let f:(a, b) → R be a function and n∈N. Assume that f is n-times differentiable and f^(n)(x) = 0 for all x∈(a,b). Show that f is a polynomial of degree at most n−1.
In: Advanced Math
write a descriptive summary on the book "this is our time:everyday myths in the life of the gospel" by trevin wax
In: Advanced Math
A certain dynamical system is governed by the equation x'' + (x')2 + x = 0. Show that the origin is a center in the phase plane and that open and closed paths are separated by the path
2y2 = 1- 2x
In: Advanced Math
Find two linearly independent solutions near the regular singular point x₀= 0
x²y'' + (6x + x²)y' + xy = 0
In: Advanced Math
I have a group order 28 is it possible to have an orbit with 6
maybe use sylos thm.
In: Advanced Math
Question C [SD1: 5 Marks]
A multiple regression analysis between yearly income (Y in $1,000s), college grade point average (X1), age of the individuals (X2), and the gender of the individual (X3; zero representing female and one representing male) was performed on a sample of 10 people, and the following results were obtained.
Coefficients |
Standard Error |
|
Intercept |
4.0928 |
1.4400 |
X1 |
10.0230 |
1.6512 |
X2 |
0.1020 |
0.1225 |
X3 |
-4.4811 |
1.4400 |
ANOVA |
||||||
DF |
SS |
MS |
F |
|||
Regression |
360.59 |
|||||
Residual (Error) Required: |
23.91 |
|||||
1- |
Interpret the meaning of the coefficient of X3. |
|||||
2- |
Is the coefficient of X3 significant? Use a = 0.05. |
|||||
3- |
Perform an F test and determine whether or not the model is significant. |
In: Advanced Math
In parts a and b, A is a matrix representation of a linear transformation in the standard basis. Find a matrix representation of the linear transformation in the new basis. show all steps.
a. A = 2x2 matrix with the first row being 2 and -1, and the second row being 1 and 3; new basis = {<1, 2> , < 1, 1> }
b. A = 3x3 matrix with the first row being 2, 1, -1, the second row being, 0, 1, 3, and the third row being -1, 2, 1. new basis = {< 0, -2, 1 > , <1, 2, 0> , <1, 1, 1,>}.
In: Advanced Math
consider the subspace W=span[(4,-2,1)^T,(2,0,3)^T,(2,-4,-7)^T]
Find
A) basis of W
B) Dimension of W
C) is vector v=[0,-2,-5]^T contained in W? if yes espress as linear combantion
In: Advanced Math
Solve the given system of differential equations by systematic elimination. (D + 1)x + (D − 1)y = 6 ; 7x + (D + 6)y = −1
In: Advanced Math