1. The homomorphism h maps R3 to itself. Its range is all of R3, so its rank is 3. Its nullspace is {0}, so its nullity is 0.
2. For the map f from R2 to R, the inverse image of 3 is the empty set, the inverse image of 0 is the y-axis, and the inverse image of 1 is the line y = x.
3. For any linear map h, the image of the span of a set S is equal to the span of the images of the elements of S.
Temporal logic and functional reactive programmingSergei Winitzki
In my day job, most bugs come from imperatively implemented reactive programs. Temporal Logic and FRP are declarative approaches that promise to solve my problems. I will briey review the motivations behind
and the connections between temporal logic and FRP. I propose a rather "pedestrian" approach to propositional linear-time temporal logic (LTL), showing how to perform calculations in LTL and how to synthesize programs from LTL formulas. I intend to explain why LTL largely failed to
solve the synthesis problem, and how FRP tries to cope.
FRP can be formulated as a -calculus with types given by the propositional intuitionistic LTL. I will discuss the limitations of this approach, and outline the features of FRP that are required by typical application programming scenarios. My talk will be largely self-contained and should be understandable to anyone familiar with Curry-Howard and functional programming.
Temporal logic and functional reactive programmingSergei Winitzki
In my day job, most bugs come from imperatively implemented reactive programs. Temporal Logic and FRP are declarative approaches that promise to solve my problems. I will briey review the motivations behind
and the connections between temporal logic and FRP. I propose a rather "pedestrian" approach to propositional linear-time temporal logic (LTL), showing how to perform calculations in LTL and how to synthesize programs from LTL formulas. I intend to explain why LTL largely failed to
solve the synthesis problem, and how FRP tries to cope.
FRP can be formulated as a -calculus with types given by the propositional intuitionistic LTL. I will discuss the limitations of this approach, and outline the features of FRP that are required by typical application programming scenarios. My talk will be largely self-contained and should be understandable to anyone familiar with Curry-Howard and functional programming.
Graphs of the Sine and Cosine Functions LectureFroyd Wess
More: www.PinoyBIX.org
Lesson Objectives
Able to plot the different Trigonometric Graphs
Graph of Sine Function (y = f(x) = sinx)
Graph of Cosine Function (y = f(x) = cosx)
Define the Maximum and Minimum value in a graph
Generalized Trigonometric Functions
Graphs of y = sinbx
Graphs of y = sin(bx + c)
Could find the Period of Trigonometric Functions
Could find the Amplitude of Trigonometric Functions
Variations in the Trigonometric Functions
Graphs of the Sine and Cosine Functions LectureFroyd Wess
More: www.PinoyBIX.org
Lesson Objectives
Able to plot the different Trigonometric Graphs
Graph of Sine Function (y = f(x) = sinx)
Graph of Cosine Function (y = f(x) = cosx)
Define the Maximum and Minimum value in a graph
Generalized Trigonometric Functions
Graphs of y = sinbx
Graphs of y = sin(bx + c)
Could find the Period of Trigonometric Functions
Could find the Amplitude of Trigonometric Functions
Variations in the Trigonometric Functions
June 3, 2024 Anti-Semitism Letter Sent to MIT President Kornbluth and MIT Cor...Levi Shapiro
Letter from the Congress of the United States regarding Anti-Semitism sent June 3rd to MIT President Sally Kornbluth, MIT Corp Chair, Mark Gorenberg
Dear Dr. Kornbluth and Mr. Gorenberg,
The US House of Representatives is deeply concerned by ongoing and pervasive acts of antisemitic
harassment and intimidation at the Massachusetts Institute of Technology (MIT). Failing to act decisively to ensure a safe learning environment for all students would be a grave dereliction of your responsibilities as President of MIT and Chair of the MIT Corporation.
This Congress will not stand idly by and allow an environment hostile to Jewish students to persist. The House believes that your institution is in violation of Title VI of the Civil Rights Act, and the inability or
unwillingness to rectify this violation through action requires accountability.
Postsecondary education is a unique opportunity for students to learn and have their ideas and beliefs challenged. However, universities receiving hundreds of millions of federal funds annually have denied
students that opportunity and have been hijacked to become venues for the promotion of terrorism, antisemitic harassment and intimidation, unlawful encampments, and in some cases, assaults and riots.
The House of Representatives will not countenance the use of federal funds to indoctrinate students into hateful, antisemitic, anti-American supporters of terrorism. Investigations into campus antisemitism by the Committee on Education and the Workforce and the Committee on Ways and Means have been expanded into a Congress-wide probe across all relevant jurisdictions to address this national crisis. The undersigned Committees will conduct oversight into the use of federal funds at MIT and its learning environment under authorities granted to each Committee.
• The Committee on Education and the Workforce has been investigating your institution since December 7, 2023. The Committee has broad jurisdiction over postsecondary education, including its compliance with Title VI of the Civil Rights Act, campus safety concerns over disruptions to the learning environment, and the awarding of federal student aid under the Higher Education Act.
• The Committee on Oversight and Accountability is investigating the sources of funding and other support flowing to groups espousing pro-Hamas propaganda and engaged in antisemitic harassment and intimidation of students. The Committee on Oversight and Accountability is the principal oversight committee of the US House of Representatives and has broad authority to investigate “any matter” at “any time” under House Rule X.
• The Committee on Ways and Means has been investigating several universities since November 15, 2023, when the Committee held a hearing entitled From Ivory Towers to Dark Corners: Investigating the Nexus Between Antisemitism, Tax-Exempt Universities, and Terror Financing. The Committee followed the hearing with letters to those institutions on January 10, 202
Honest Reviews of Tim Han LMA Course Program.pptxtimhan337
Personal development courses are widely available today, with each one promising life-changing outcomes. Tim Han’s Life Mastery Achievers (LMA) Course has drawn a lot of interest. In addition to offering my frank assessment of Success Insider’s LMA Course, this piece examines the course’s effects via a variety of Tim Han LMA course reviews and Success Insider comments.
Welcome to TechSoup New Member Orientation and Q&A (May 2024).pdfTechSoup
In this webinar you will learn how your organization can access TechSoup's wide variety of product discount and donation programs. From hardware to software, we'll give you a tour of the tools available to help your nonprofit with productivity, collaboration, financial management, donor tracking, security, and more.
The French Revolution, which began in 1789, was a period of radical social and political upheaval in France. It marked the decline of absolute monarchies, the rise of secular and democratic republics, and the eventual rise of Napoleon Bonaparte. This revolutionary period is crucial in understanding the transition from feudalism to modernity in Europe.
For more information, visit-www.vavaclasses.com
Francesca Gottschalk - How can education support child empowerment.pptxEduSkills OECD
Francesca Gottschalk from the OECD’s Centre for Educational Research and Innovation presents at the Ask an Expert Webinar: How can education support child empowerment?
Synthetic Fiber Construction in lab .pptxPavel ( NSTU)
Synthetic fiber production is a fascinating and complex field that blends chemistry, engineering, and environmental science. By understanding these aspects, students can gain a comprehensive view of synthetic fiber production, its impact on society and the environment, and the potential for future innovations. Synthetic fibers play a crucial role in modern society, impacting various aspects of daily life, industry, and the environment. ynthetic fibers are integral to modern life, offering a range of benefits from cost-effectiveness and versatility to innovative applications and performance characteristics. While they pose environmental challenges, ongoing research and development aim to create more sustainable and eco-friendly alternatives. Understanding the importance of synthetic fibers helps in appreciating their role in the economy, industry, and daily life, while also emphasizing the need for sustainable practices and innovation.
Acetabularia Information For Class 9 .docxvaibhavrinwa19
Acetabularia acetabulum is a single-celled green alga that in its vegetative state is morphologically differentiated into a basal rhizoid and an axially elongated stalk, which bears whorls of branching hairs. The single diploid nucleus resides in the rhizoid.
Model Attribute Check Company Auto PropertyCeline George
In Odoo, the multi-company feature allows you to manage multiple companies within a single Odoo database instance. Each company can have its own configurations while still sharing common resources such as products, customers, and suppliers.
Macroeconomics- Movie Location
This will be used as part of your Personal Professional Portfolio once graded.
Objective:
Prepare a presentation or a paper using research, basic comparative analysis, data organization and application of economic information. You will make an informed assessment of an economic climate outside of the United States to accomplish an entertainment industry objective.
2. 3.II.1. Definition
Definition 1.1: Homomorphism
A function between vector spaces h: V → W that preserves the algebraic
structure is a homomorphism or linear map. I.e.,
h a b ah bhu v u v , & ,a b Vu vR
Example 1.2: Projection map
x
x
y
y
z
π: 3 → 2 by is a homomorphism.
Proof: 1 2 1 2
1 2 1 2
1 2 1 2
x x ax bx
a y b y a y by
z z az bz
1 2
1 2
0
ax bx
a y by
1 2
1 2
0 0
x x
a y b y
1 2
1 2
1 2
x x
a y b y
z z
3. Example 1.3:
by1 2 3:f P P 2 2 3
0 1 2 0 1 2
1 1
2 3
a a x a x a x a x a x
by2 2 2:f M R
a b
a d
c d
Example 1.4: Zero Homomorphism
h: V → W by v 0
Example 1.5: Linear Map
3 2 4.5
x
y x y z
z
g: 3 → by
is linear & a homomorphism.
4. 3 2 4.5 1
x
y x y z
z
h: 3 → by is not linear & hence
not a homomorphism.
0 1 1
0 0 0
0 0 0
h h
since
0 1
0 0 1 3 1 5
0 0
h h3 1 4
5 2
x
x y
y
x y
z
is linear & a homomorphism.
5 2
x
x y
y
x y
z
is not linear & hence not a homomorphism.
5. Lemma 1.6: A homomorphism sends a zero vector to a zero vector.
Lemma 1.7:
Each is a necessary and sufficient condition for f : V → W to be a homomorphism:
1. f f fv u v u and f a a fv v , &V au v R
2. k k k k
k k
cf c fv v &j jV cv R
Example 1.8:
g: 2 → 4 by
/ 2
0
3
x
x
y x y
y
is a homomorphism.
6. Theorem 1.9: A homomorphism is determined by its action on a basis.
Let β1 , … , βn be a basis of a vector space V ,
and w1 , …, wn are (perhaps not distinct) elements of a vector space W .
Then there exists a unique homomorphism h : V →W s.t. h(βk ) = wk k
Proof:
k k
k
h chv βDefine h : V →W by
Then
k k k k
k k
a b a c b dh hv u β β k k k
k
h ac bd β
k k k k
k
ah c bh dβ βk k k
k
ac bd h β
ah bhv u → h is a homomorphism
Let g be another homomorphism s.t. g(βk ) = wk . Then
k k
k
c g β
k k
k
c h β k k
k
c w
k k
k
c wk k
k
g cgv β h v → h is unique
7. Example 1.10
1 1
0 1
h
0 4
1 4
h
specifies a homomorphism h: 2 → 2
Definition 1.11: Linear Transformation
A linear map from a space into itself t : V → V is a linear transformation.
Remark 1.12:
Some authors treat ‘linear transformation’as a synonym for ‘homomorphism’.
Example 1.13: Projection P: 2 → 2
0
x x
y
is a linear transformation.
8. Example 1.14: Derivative Map d /dx: n → n
1
0 1
n n
k k
k k
k k
a x k a x is a linear transformation.
Example 1.15: Transpose Map
a b a c
c d b d
is a linear transformation of 2 2.
It’s actually an automorphism.
Lemma 1.16: (V,W)
For vector spaces V and W, the set of linear functions from V to W is itself a
vector space, a subspace of the space of all functions from V to W. It is
denoted (V,W).
Proof: Straightforward (see Hefferon, p.190)
9. Exercise 3.II.1
1. Stating that a function is ‘linear’ is different than stating that its graph is a line.
(a) The function f1 : → given by f1(x) = 2x 1 has a graph that is a line.
Show that it is not a linear function.
(b) The function f2 : 2 → given by
does not have a graph that is a line. Show that it is a linear function.
2
x
x y
y
2. Consider this transformation of 2.
/2
/3
x x
y y
What is the image under this map of this ellipse.
2 2
1
4 9
x x y
y
10. 3.II.2. Rangespace and Nullspace
Lemma 2.1:
Let h: V → W be a homomorphism between vector spaces.
Let S be subspace of V. Then h(S) is a subspace of W. So is h(V) .
Proof: s1 , s2 V and a, b ,
1 2 1 2a h b h h a b h Ss s s s QED
Definition 2.2: Rangespace and Rank
The rangespace of a homomorphism h: V → W is
(h) = h(V ) = { h(v) | v V }
dim[ (h) ] = rank of h
11. Example 2.3: d/dx: 3 → 3
2
, ,
d
a bx cx a b c
dx
R R Rank d/dx = 3
Example 2.4: Homomorphism
2 3
2
a b
a b d cx cx
c d
h: 2 2 → 3 by
2 3
,h r sx sx r sR R Rank h = 2
Homomorphism: Many-to one map
h: V → W
Inverse image
1
h W V hw v v w
12. Example 2.5: Projection π: 3 → 2 by
x
x
y
y
z
1
x
x
y z
y
z
R = Vertical line
Example 2.6: Homomorphism h: 2 → 1 by
x
x y
y
1
x
h w x y w
y
= Line with slope 1
13. Isomorphism i: V n → W n V is the same as W
Homomorphism h: V n → W m V is like W
1-1 onto bijection
f: V → W f (V) W
f 1: f (V) → V
f (V) W f (V) W
f 1: W → V
Example 2.7: Projection π: 3 → 2 3 is like 2
1 2 1 2v v v v
Vectors add like their shadows.
14. Example 2.8: Homomorphism h: 2 → 1 by
x
x y
y
Example 2.9: Homomorphism h: 3 → 2 by
x
x
y
x
z
Range is diagonal line in x-y plane.
Inverse image sets are planes perpendicular to the x-axis.
15. A homomorphism separates the domain space into classes.
Lemma 2.10:
Let h: V → W be a homomorphism.
If S is a subspace of h(V), then h 1(S) is a subspace of V.
In particular, h 1({0W }) is a subspace of V.
Proof: Straightforward (see Hefferon p.188 )
Definition 2.11: Nullspace or Kernel
The nullspace or kernel of a linear map h: V → W is the inverse image of 0W
(h) = h 1(0W) = { v V | h(v) = 0W }
dim N (h) = nullity
16. Example 2.12: d/dx: 3 → 3 by
d
a a
dx
N R
Example 2.13: h: 2 2 → 3 by
2 3
2
a b
a b d cx cx
c d
,1
0
2
a b
h a b
a b
N R
2 3
2 0a b d cx cx →
2
2 3 0b cx d x → 0b c d
2 3 2
2 3a bx cx dx b cx dx
→
2 0a b d c
→
Theorem 2.14:
h: V → W rank(h) + (h) = dim V
Proof: Show V is a basis for (see Hefferon p.189)
17. Example 2.15: Homomorphism h: 3 → 4 by
0
0
x
x
y
y
z
0
,
0
a
h a b
b
R R
0
0h z
z
N R
0
0
0
x
x y
y
0 →
Rank h = 2 Nullity h = 1
Example 2.16: t: → by x 4x
(t) = Rank t = 1
(t) = 0 Nullity t = 0
18. Corollary 2.17:
Let h: V → W be a homomorphism.
rank h dim V
rank h = dim V nullity h = 0 (isomorphism if onto)
Lemma 2.18: Homomorphism preserves Linear Dependency
Under a linear map, the image of a L.D. set is L.D.
Proof: Let h: V → W be a linear map.
k k V
k
c v 0 with some ck 0
→ k k V
k
h c hv 0
k k W
k
c w 0 with some ck 0
19. Definition 2.19:
A linear map that is 1-1 is nonsingular. (1-1 map preserves L.I.)
Example 2.20: Nonsingular h: 2 → 3 by
0
x
x
y
y
gives a correspondence between 2 and the xy-plane inside of 3.
Theorem 2.21:
In an n-D vector space V , the following are equivalent statements about a linear
map h: V → W.
(1) h is nonsingular, that is, 1-1
(2) h has a linear inverse
(3) (h) = { 0 }, that is, nullity(h) = 0
(4) rank(h) = n
(5) if β1 , … , βn is a basis for V
then h(β1 ), … , h(βn ) is a basis for (h)
Proof: See Hefferon, p.191
20. Exercises 3.II.2
1. For the homomorphism h: 3 → 3 given by
2 3 3
0 1 2 3 0 0 1 2 3h a a x a x a x a a a x a a x
Find the followings:
(a) (h) (b) h 1( 2 x3 ) (c) h 1( 1+ x2 )
2. For the map f : 2 → given by
2
x
f x y
y
sketch these inverse image sets: f 1( 3), f 1(0), and f 1(1).
3. Prove that the image of a span equals the span of the images. That is,
where h: V → W is linear, prove that if S is a subset of V then h([S]) = [h(S)].