1

SYMQM D, SU(N) space-time H(p,x,f,f † ) models with SUSY laboratory: continuous spectrum exact results SU(2), SU( N>2 ) D=2 D=4 small (zero) volume QCD SYM Lüscher YM Weisz glueballs van Baal QCD, SU(3), flavor, m q Seiberg-Witten BFSS M-theory D=10 N AdS pp-wave finite N compactified M- th. Feynman Last Board

SYMQM D , SU( N ) space-time H(p,x, f , f † )

Download PPT Report

Upload
stian
View
42
Download
2

Embed Size (px)

DESCRIPTION

Feynman Last Board. AdS pp-wave. M-theory D=10 N . BFSS. finite N compactified M-th. small (zero) volume QCD SYM Lüscher YM Weisz glueballs van Baal QCD, SU(3), flavor, m q  Seiberg-Witten. SYMQM D , SU( N ) space-time H(p,x, f , f † ). D=4. D=2. - PowerPoint PPT Presentation

Citation preview

Page 1: SYMQM D , SU( N ) space-time H(p,x, f , f † )

SYMQM D, SU(N)

space-time

H(p,x,f,f†)

models with SUSY

laboratory:continuous spectrumexact resultsSU(2), SU( N>2 )

D=2

D=4

small (zero) volume QCD SYM Lüscher YM Weiszglueballs van Baal

QCD, SU(3), flavor, mq

Seiberg-Witten

BFSS

M-theory D=10 N

AdS pp-wave

finite Ncompactified M-th.

Feynman Last Board

Replacing f ( x ) with k • f ( x ) and f ( k • x )

Replacing f ( x ) with k • f ( x ) and f ( k • x )

Documents

A Brief Introduction to Evolutionary) Multiobjective ... · Mastertitelformat bearbeitenPareto-optimal Set and Pareto( -optimal) Front f 2 f 1 x 3 x 1 decision space objective space

A Brief Introduction to Evolutionary) Multiobjective ... · Mastertitelformat bearbeitenPareto-optimal Set and Pareto( -optimal) Front f 2 f 1 x 3 x 1 decision space objective space

Documents

DHS Counselling, MP Links... · obc/x/f ur/x/f obc/x/f st/x/f sc/x/f st/x/f obc/x/f obc/x/f obc/x/f obc/x/f ur/x/f obc/x/f ... me-enal awasthi jyoti patel anita pawar kiran pawar

DHS Counselling, MP Links... · obc/x/f ur/x/f obc/x/f st/x/f sc/x/f st/x/f obc/x/f obc/x/f obc/x/f obc/x/f ur/x/f obc/x/f ... me-enal awasthi jyoti patel anita pawar kiran pawar

Documents

KM 654e-20150205112121 · 2015. 2. 5. · 33 f(x) = 2x2 + 4x -3 = 2x — x 2 37. f(x) 18. 20. 22. 24. 26. 28. 30. 32. 34. 36. 38. f(x) - f(x) = ( f(x) = f(x) - f(x) f(x) — f(x)

KM 654e-20150205112121 · 2015. 2. 5. · 33 f(x) = 2x2 + 4x -3 = 2x — x 2 37. f(x) 18. 20. 22. 24. 26. 28. 30. 32. 34. 36. 38. f(x) - f(x) = ( f(x) = f(x) - f(x) f(x) — f(x)

Documents

บทที่ 1 ปริภูมิเวกเตอร์ (Vector space) · (4) ฟังก์ชัน สอดคล้องสมการ ( , ) dy f x y dx บนช่วง

บทที่ 1 ปริภูมิเวกเตอร์ (Vector space) · (4) ฟังก์ชัน สอดคล้องสมการ ( , ) dy f x y dx บนช่วง

Documents

etching - Kansas State Universitygerald/math220d/hand18.pdf · y: f 00 ( x ) > 0 ) f ( x up. f 00 ( x ) < 0 ) f ( x wn. oints: ( x ; f ( x of f ( x ). test: Let f 00 ( c 0

etching - Kansas State Universitygerald/math220d/hand18.pdf · y: f 00 ( x ) > 0 ) f ( x up. f 00 ( x ) < 0 ) f ( x wn. oints: ( x ; f ( x of f ( x ). test: Let f 00 ( c 0

Documents

COMUNICADO Nº 02/PROLIC-FE-2018 - UNMSM€¦ · 38 ureta palomino, miguel angel x f x x x f f incompleto 39 valera mendoza, luis x f x x x f f incompleto 40 valverde caldas, elena

COMUNICADO Nº 02/PROLIC-FE-2018 - UNMSM€¦ · 38 ureta palomino, miguel angel x f x x x f f incompleto 39 valera mendoza, luis x f x x x f f incompleto 40 valverde caldas, elena

Documents

A benchmark study on intelligent sampling techniques in ... · Hence, the integration can be performed over the whole sample space: P I f d E I f ( ) Ω = ≡ ∫ x x x x X (3) In

A benchmark study on intelligent sampling techniques in ... · Hence, the integration can be performed over the whole sample space: P I f d E I f ( ) Ω = ≡ ∫ x x x x X (3) In

Documents

Art & Photos

Space (x, y) · Time Time Space (x, y) Space (x) Space (y) 00 cc

Space (x, y) · Time Time Space (x, y) Space (x) Space (y) 00 cc

Documents

Music x Ideas x Space = Compose LA

Music x Ideas x Space = Compose LA

Documents

Antiderivatives An antiderivative of f(x) is any function F(x) such that F’(x) = f(x)

Antiderivatives An antiderivative of f(x) is any function F(x) such that F’(x) = f(x)

Documents

Karl Byleen · Karl Byleen 1.f(x) = 1 = x-1 x f’(x) =-x-2 (Using Power Rule) f”(x) = 2x-3 6 f (3) (x) = -6x-4 = -x 4 2. f(x) = ln(1 + x) 1 = (1 + x)-1 f'(x) = 1 x f"(x) = (-1)(1

Karl Byleen · Karl Byleen 1.f(x) = 1 = x-1 x f’(x) =-x-2 (Using Power Rule) f”(x) = 2x-3 6 f (3) (x) = -6x-4 = -x 4 2. f(x) = ln(1 + x) 1 = (1 + x)-1 f'(x) = 1 x f"(x) = (-1)(1

Documents

Describe each transformation: f(x) = -(x – 1) 2 + 4 f(x) = (x + 1) 2 – 2 f(x) = 2(x – 3) 2 + 1 f(x) = ½ (x + 2) 2 f(x) = -2x 2 + 3 f(x)

Describe each transformation: f(x) = -(x – 1) 2 + 4 f(x) = (x + 1) 2 – 2 f(x) = 2(x – 3) 2 + 1 f(x) = ½ (x + 2) 2 f(x) = -2x 2 + 3 f(x)

Documents

Two-Dimensional Fourier Transform and Linear Filteringeeweb.poly.edu/~yao/EL6123_s16/FT_filtering_2016.pdf · Signal in 2D Space • General 2D continuous space signal: f(x,y) –

Two-Dimensional Fourier Transform and Linear Filteringeeweb.poly.edu/~yao/EL6123_s16/FT_filtering_2016.pdf · Signal in 2D Space • General 2D continuous space signal: f(x,y) –

Documents

Filtragem de Imagens no Domínio Espacial - SIGAAmotta/dim411/Filtragem Espacial.pdf · de histogramas em ... ( 1) ( ) ( 1) ( 1) 2 ( ) 2 2 f x f x f x x f f x f x e x f = ++

Filtragem de Imagens no Domínio Espacial - SIGAAmotta/dim411/Filtragem Espacial.pdf · de histogramas em ... ( 1) ( ) ( 1) ( 1) 2 ( ) 2 2 f x f x f x x f f x f x e x f = ++

Documents

· x Backspace x space Bar 1

· x Backspace x space Bar 1

Documents

Sistema stutturale Structural system€¦ · F x L ≤ K 4 x W f = F x L3 E x I x 3 f = F x L3 < K E x I x 192 f = F x L3 E x I x 48 Profili strutturali / Structural profiles

Sistema stutturale Structural system€¦ · F x L ≤ K 4 x W f = F x L3 E x I x 3 f = F x L3 < K E x I x 192 f = F x L3 E x I x 48 Profili strutturali / Structural profiles

Documents

Chapter 2 State Space Models · 2014. 1. 21. · Chapter 2 State Space Models General format : (valid for any nonlinear causal system) CT : ˙x= f(x,u), DT : xk+1 = f(xk,uk), y= h(x,u)

Chapter 2 State Space Models · 2014. 1. 21. · Chapter 2 State Space Models General format : (valid for any nonlinear causal system) CT : ˙x= f(x,u), DT : xk+1 = f(xk,uk), y= h(x,u)

Documents

srirezeki309.files.wordpress.com · Web viewBAB 1. INTEGRAL TAK TENTU. Definisi Integral . Jika f (x) adalah sebuah fungsi, dimana turunan dari f(x): f’(x)=f(x) f’(x)=f(x)

srirezeki309.files.wordpress.com · Web viewBAB 1. INTEGRAL TAK TENTU. Definisi Integral . Jika f (x) adalah sebuah fungsi, dimana turunan dari f(x): f’(x)=f(x) f’(x)=f(x)

Documents

EXTENSIVO/TERCEIRÃO – COMENTÁRIO · Se f(x) é uma função ímpar, temos que por definição f(–x) = –f(x), logo: g(x) = f(x) + f(–x) = f(x) – f(x) = 0, que é uma função

Documents

STAT509 Continuous Probability Distributions Recall: P(a < X < b) = = F(b) – F(a) F (a) = μ = E[X] = 2 = E[X 2 ] – μ 2 f(x) x x F(x)

STAT509 Continuous Probability Distributions Recall: P(a < X < b) = = F(b) – F(a) F (a) = μ = E[X] = 2 = E[X 2 ] – μ 2 f(x) x x F(x)

Documents

M3309-F10Week 11.2 FG x + F(x)F(x) G(x)G(x) F(x) + G(x)

M3309-F10Week 11.2 FG x + F(x)F(x) G(x)G(x) F(x) + G(x)

Documents

1. f( g(x)) = ____ for g(x) = 2x + 1 and f(x) = 4x, if x = 3 2. (f + g)(x) = ____ for g(x) = 3x 2 + 2x and f(x) = 3x + 1 3. (f/g)(x) = ______ for f(x)

1. f( g(x)) = ____ for g(x) = 2x + 1 and f(x) = 4x, if x = 3 2. (f + g)(x) = ____ for g(x) = 3x 2 + 2x and f(x) = 3x + 1 3. (f/g)(x) = ______ for f(x)

Documents

Applications of Legendre-Fenchel transformation to ... · Legendre-Fenchel is one such transform which maps the (x, f(x)) space to the space of slope and con-jugate that is (p, f(p))

Applications of Legendre-Fenchel transformation to ... · Legendre-Fenchel is one such transform which maps the (x, f(x)) space to the space of slope and con-jugate that is (p, f(p))

Documents

SPACE X project

SPACE X project

Documents

DERIVATIVES 3. Summary f(x) ≈ f(a) + f’(a)(x – a) L(x) = f(a) + f’(a)(x – a) ∆y = f(x + ∆x) – f(x) dx = ∆x dy = f’(x)dx ∆ y≈ dy

DERIVATIVES 3. Summary f(x) ≈ f(a) + f’(a)(x – a) L(x) = f(a) + f’(a)(x – a) ∆y = f(x + ∆x) – f(x) dx = ∆x dy = f’(x)dx ∆ y≈ dy

Documents

Operations on Functions Lesson 2.5 ƒ(g(x)) f(x) + g(x) f(x) - g(x) f(x) ÷ g(x) f(x) ∙ g(x)

Operations on Functions Lesson 2.5 ƒ(g(x)) f(x) + g(x) f(x) - g(x) f(x) ÷ g(x) f(x) ∙ g(x)

Documents

funcy Documentation · string re_finder(f) re_tester(f) int or slice itemgetter(f) itemgetter(f) mapping lambda x: f[x] lambda x: f[x] set lambda x: x in f lambda x: x in f 2.1Supporting

funcy Documentation · string re_finder(f) re_tester(f) int or slice itemgetter(f) itemgetter(f) mapping lambda x: f[x] lambda x: f[x] set lambda x: x in f lambda x: x in f 2.1Supporting

Documents

ardiansyahunindra.files.wordpress.com€¦ · Web viewBAB 1. INTEGRAL TAK TENTU. Definisi Integral . Jika f (x) adalahsebuahfungsi, dimanaturunandari f(x): f’(x)=f(x) f’(x)=f(x)

ardiansyahunindra.files.wordpress.com€¦ · Web viewBAB 1. INTEGRAL TAK TENTU. Definisi Integral . Jika f (x) adalahsebuahfungsi, dimanaturunandari f(x): f’(x)=f(x) f’(x)=f(x)

Documents