ON THE WEAK LIMITS OF SMOOTH MAPS FOR THE DIRICHLET ENERGY BETWEEN MANIFOLDS

Size: px
Start display at page:

Download "ON THE WEAK LIMITS OF SMOOTH MAPS FOR THE DIRICHLET ENERGY BETWEEN MANIFOLDS"

Transcription

1 ON THE WEA LIMITS OF SMOOTH MAPS FOR THE DIRICHLET ENERGY BETWEEN MANIFOLDS FENGBO HANG Absrac. We denfy all he weak sequenal lms of smooh maps n W (M N). In parcular, hs mples a necessary su cen opologcal condon for smooh maps o be weakly sequenally dense n W (M N).. Inroducon Assume M N are smooh compac Remannan manfolds whou boundary hey are embedded no R l R l respecvely. The followng spaces are of neres n he calculus of varaons: W (M N) = n u W M R l : u (x) N a.e. x M W (M N) = u W (M N) : here exss a sequence u C (M N) such ha u * u n W (M N) : For a bref hsory dealed references on he sudy of analycal opologcal ssues relaed o hese spaces, one may refer o [, 3, 7]. In parcular, follows from heorem 7. of [3] ha a necessary condon for W (M N) = W (M N) s ha M sas es he -exenson propery wh respec o N (see secon. of [3] for a de non). I was conjecured n secon 7 of [3] ha he -exenson propery s also su cen for W (M N) = W (M N). In [, 7], was shown ha W (M N) = W (M N) when (M) = 0 or (N) = 0. Noe ha f (M) = 0 or (N) = 0, hen M sas es he -exenson propery wh respec o N. In secon of [4], was proved ha he above conjecure s rue under he addonal assumpon ha N sas es he -vanshng condon. The man am of he presen arcle s o con rm he conjecure n s full generaly. More precsely, we have Theorem.. Le M n N be smooh compac Remannan manfolds whou boundary (n 3). Take a Lpschz rangulaon h : M, hen W (M N) = u W (M N) : u # (h) has a connuous exenson o M w.r.. N = u W (M N) : u may be conneced o some smooh maps : In addon, f [M N] sas es hj j j = u # (h), hen we may nd a sequence of smooh maps u C (M N) such ha u * u n W (M N), [u ] = du du a.e.. o

2 FENGBO HANG Here u # (h) s he -homoopy class de ned by Whe [] (see also secon 4 of [3]) [M N] means all homoopy classes of maps from M o N. I follows from Theorem. ha Corollary.. Le M n N be smooh compac Remannan manfolds whou boundary n 3. Then smooh maps are weakly sequenally dense n W (M N) f only f M sas es he -exenson propery wh respec o N. For p [3 n ] beng an naural number, remans a challengng open problem o nd ou wheher he weak sequenal densy of smooh maps n W p (M N) s equvalen o he condon ha M sas es he p exenson propery wh respec o N. Ths was ver ed o be rue under furher opologcal assumpons on N (see secon of [4]). However, even for W 3 S 4 S, s sll no known wheher smooh maps are weakly sequenally dense. Some very neresng recen work on hs space can be found n [5]. The paper s wren as follows. In Secon, we wll presen some echncal lemmas. In Secon 3, we wll prove he above heorem corollary. Acknowledgmens. The research of he auhor s suppored by Naonal Scence Foundaon Gran DMS Some preparaons The followng local resul, whch was proved by Pakzad Rvere n [7], plays an mporan role n our dscusson. Theorem. ([7]). Le N be a smooh compac Remannan manfold. Assume n 3, B = B n, f W (@B N) \ C (@B N), f cons, u W (B N), = f, hen here exss a sequence u W (B N) \ C B N such ha u = f, u * u n W (B N) du du a.e.. In addon, f v W (B nb N) \ C B nb N sas es = f cons, hen we may esmae jdu j dh n c (n N) jduj dh n + jdvj dh n : B B B nb For convenence, we wll use hose noaons conceps n secon, 3 4 of [3]. The followng lemma s a rough verson of Luckhaus s lemma [6]. For reader s convenence, we skech a proof of hs smpler verson usng resuls from secon 3 of [3]. Lemma.. Assume M n N are smooh compac Remannan manfolds whou boundary. Le e > 0, 0 < <, A > 0, hen here exss an " = " (e A M N) > 0 such ha for any u v W (M N) wh jduj L (M) jdvj L (M) A ju vj L (M) ", we may nd a w W (M (0 ) N) such ha, n he race sense w (x 0) = u (x), w (x ) = v (x) a.e. x M jdwj L (M(0)) c (M) p jduj + jdvj L(M) L (M) + e : Proof. Le " M > 0 be a small posve number such ha V "M (M) = x R l : d (x M) < " M s a ubular neghborhood of M. Le M : V "M (M) M be he neares pon projecon. Smlarly we have " N, V "N (N) N for N. Choose a Lpschz

3 WEA LIMITS OF SMOOTH MAPS 3 cubeulaon h : M. We may assume each cell n s a cube of un sze. For B" l M, x jj, le h (x) = M (h (x) + ). Assume " M s small enough such ha all h s are b-lpschz maps. Se m = +, usng [0 ] = [ m = m m, we may dvde each k-cube n no m k small cubes. In parcular, we ge a subdvson of, called m. I follows from secon 3 of [3] ha for a.e. B" l M, u h v h W ( m N). Applyng he esmaes n secon 3 of [3] o each un sze k-cube n m k, we ge dh l () d u h j j k B" l j k M m j m j dh k c (M) k n jduj L (M) dh l () d v h j j k B" l m j dh k c (M) k n jdvj L (M) M j k m j ju h v h j L (j B" l m j) dhl () M c ( M) jd (u v)j 3 4 L (M) ju vj 4 L (M) + ju vj L (M) c ( A M) " 4 : By he mean value nequaly, we may nd a B l " M such ha u h v h W ( m N), ju h v h j L (j m j) c ( A M) " 4 < "N when " s small enough, d d u h j j k jm k j m j + v h j j k m j dh k c (M) k n jduj L (M) + jdvj L (M) for k n. Fx a C (R R) such ha 0, j ( 3) = j ( ) = 0. Leng f = u h, g = v h, we wll de ne : jj [0 ] N 3 nducvely. Frs se (x 0) = f (x) (x ) = g (x) for x jj. For mn m, 0 on [0 ], we le (x ) = N f (x) + g (x) x 0 : For mn m, le y be he cener of, de ne on [0 ] as he homogeneous degree zero exenson of wh respec o y. Nex we hle each 3-cube, 4-cube,, n-cube n a smlar way. Calculaons show ha jdj dh n+ jj[0] c (n) nx k= n+ k j k m j L c (M) jduj (M) + jdvjl (M) + e d d u h j j k m j + v h j j k m j dh k + c ( A M) "

4 4 FENGBO HANG when " s small enough. Fnally w : M [0 ] N, de ned by w (x ) = (x), s he needed map. h Lemma.. Assume N s a smooh compac Remannan manfold, n, B = B n, u v W (B N) such ha = De ne w : B (0 ) N by u (x) x B nb w (x ) = u x x B nb >: v x x B hen w W (B (0 ) N) jdwj L (B (0)) c (n) jduj L (B ) + jdvj L (B ) : Proof. Noe ha jdu (x)j < jdw (x )j c (n) du x < < >: c (n) dv x < : Hence jdw (x )j dh n+ (x ) The lemma follows. 0<< << c (n) = c (n) 0 0 d d dr c (n) jduj L (B ) r 4 du r x r 4 dhn (x) (n ) jdu (n ) (y)j dh n (y) jdw (x )j dh n+ (x ) 0<< < x c (n) d dv 4 dhn (x) 0 B c (n) jdvj L (B ) : 3. Idenfyng weak lms of smooh maps In hs secon, we shall prove Theorem. Corollary.. Proof of Theorem.. Le h : M be a Lpschz cubeulaon. We may assume each cell n s a cube of un sze. Le " M > 0 be a small number such ha V "M (M) = x R l : d (x N) < " M s a ubular neghborhood of M. Denoe M : V "M (M) M as he neares pon projecon. For B" l M, we le h (x) = M (h (x) + ) for x jj, he polyope of. We may assume " M s small enough such ha all h are b-lpschz maps. Replacng h by h when necessary, we may assume f = u h W ( N).

5 WEA LIMITS OF SMOOTH MAPS 5 Then we may nd a g C (jj N) \ W ( N) such ha g h = gj j j = fj j j (see he proof of heorem 5.5 heorem 6. n [4]). For each cell, le y be he cener of. For x, le be he Mnkowsk norm wh respec o y, ha s = nf > 0 : y + : Sep : For every n, we may nd a sequence C ( N)\W ( N) such ha = fj n W ( N) d d (fj ) a.e. (see lemma 4.4 n [3]). For x, le f (x) = >: (x) y + g y + ( ) : I s clear ha f * fj n W ( N), df d (fj ) a.e. on, jdf j L () jd c j L () + jd (gj )j c (f g) L () f C N. In addon, f we de ne h : [0 ] N by (x) + y + + h (x ) = + >: g y + + : + Then by Lemma., we know h W ( [0 ] N), jdh j L ([0]) jd c j L () + jd (gj )j c (f g) L () + h C [0 ] N. Sep : Assume for some k n, we have a sequence f C k N \ W k N h k C k [0 ] N such ha for each k, f * fj n W ( N), h k W ( [0 ] N), (3.) jd (f j )j L () c (f g) jdh kj L ([0]) c (f g) h k (x 0) = f (x), h k (x ) = g (x) for x k. Snce for every k+ n k, f * n W (@ N), for xed j by Lemma. we may nd a n j j such ha for each k+ n k, here exss a w j 0 j N wh w j (x 0) = f (x), w j x = j fnj (x) jdw j j L (@(0 )) c (n) jd )j L (@) + dfnj L (@) + c (f g) : j j Whou loss of generaly, we may replace f by f n h k by h kn. Fx a k+ n k. For x, le < f y + ( ) (x) = : w y + : j

6 6 FENGBO HANG Then j jk j = f fj n W ( N) as for each k+ n k. By Theorem. (3.) (use h k g for he needed v n Theorem., one may refer o lemma 9. of [4]), for every k+ n k, we may nd C ( N)\ W ( N) such ha = f j j L () <, jd j L () c (f g) jd d j + jd d j dhk+ : M Afer passng o subsequence, we may assume d d (fj ) a.e. on. Fx a k+ n k, for any x, de ne ( h g k+ (x) = k y + x y + g (y + ( )) f (x) = e hk+ (x ) = e hk+ (x ) = >: (x) y + g k+ y + ( ) y + (x) >: g k+ y < h k y + x y : g y + + ( ) + ( ehk+ (x ) 0 h k+ (x ) = e hk+ (x ) : Smple calculaons show ha for any k+ n k, f * fj n W ( N), df d (fj ) a.e. on, h k+ W ( [0 ] N), jdf j L () c (f g) jdh k+j L ([0]) c (f g) h k+ (x 0) = f (x), h k+ (x ) = g (x) for x k+. Hence we nsh when we reach f C (jj N) \ W ( N) h n C (jj [0 ] N). Le v = f h. Then s clear ha v C (M N) \ W (M N), [v ] =, jv uj L (M) 0, jdv j L (M) c (u g) dv du a.e. on M. Hence, we may nd u C (M N) such ha ju uj L (M) 0, jdu j L (M) c (u g), [u ] = du du a.e. on M. In parcular, hs shows W (M N) u W (M N) : u # (h) has a connuous exenson o M w.r.. N : The oher drecon of ncluson was proved n secon 7 of [3]. To see W (M N) = u W (M N) : u may be conneced o some smooh maps we only need o use he above proved equaly proposon 5. of [3], whch shows u W (M N) : u # (h) has a connuous exenson o M w.r.. N = u W (M N) : u may be conneced o some smooh maps :

7 WEA LIMITS OF SMOOTH MAPS 7 We remark ha many consrucons above are movaed from secon 5 secon 6 of [4]. Proof of Corollary.. Ths follows from Theorem. corollary 5.4 of [3]. References [] P. Hajlasz. Approxmaon of Sobolev mappngs. Nonlnear Anal (994), no., [] F. B. Hang F. H. Ln. Topology of Sobolev mappngs. Mah Res Le (00), no. 3, [3] F. B. Hang F. H. Ln. Topology of Sobolev mappngs II. Aca Mah 9 (003), no., [4] F. B. Hang F. H. Ln. Topology of Sobolev mappngs III. Comm Pure Appl Mah 56 (003), no. 0, [5] R. Hard T. Rvere. Connecng opologcal Hopf sngulares. Annal Sc Norm Sup Psa, (003), no., [6] S. Luckhaus. Paral Holder connuy for mnma of ceran energes among maps no a Remannan manfold. Indana Unv Mah J 37 (9), [7] M. R. Pakzad T. Rvere. Weak densy of smooh maps for he Drchle energy beween manfolds. Geom Func Anal 3 (003), no., [] B. Whe. Homoopy classes n Sobolev spaces he exsence of energy mnmzng maps. Aca Mah 60 (9), no., 7. Deparmen of Mahemacs, Prnceon Unversy, Fne Hall, Washngon Road, Prnceon, NJ 0544,, School of Mahemacs, Insue for Advanced Sudy, Ensen Drve, Prnceon, NJ 0540 E-mal address: fhang@mah.prnceon.edu

Comparison of Differences between Power Means 1

Comparison of Differences between Power Means 1 In. Journal of Mah. Analyss, Vol. 7, 203, no., 5-55 Comparson of Dfferences beween Power Means Chang-An Tan, Guanghua Sh and Fe Zuo College of Mahemacs and Informaon Scence Henan Normal Unversy, 453007,

More information

GENERATING CERTAIN QUINTIC IRREDUCIBLE POLYNOMIALS OVER FINITE FIELDS. Youngwoo Ahn and Kitae Kim

GENERATING CERTAIN QUINTIC IRREDUCIBLE POLYNOMIALS OVER FINITE FIELDS. Youngwoo Ahn and Kitae Kim Korean J. Mah. 19 (2011), No. 3, pp. 263 272 GENERATING CERTAIN QUINTIC IRREDUCIBLE POLYNOMIALS OVER FINITE FIELDS Youngwoo Ahn and Kae Km Absrac. In he paper [1], an explc correspondence beween ceran

More information

Relative controllability of nonlinear systems with delays in control

Relative controllability of nonlinear systems with delays in control Relave conrollably o nonlnear sysems wh delays n conrol Jerzy Klamka Insue o Conrol Engneerng, Slesan Techncal Unversy, 44- Glwce, Poland. phone/ax : 48 32 37227, {jklamka}@a.polsl.glwce.pl Keywor: Conrollably.

More information

Existence and Uniqueness Results for Random Impulsive Integro-Differential Equation

Existence and Uniqueness Results for Random Impulsive Integro-Differential Equation Global Journal of Pure and Appled Mahemacs. ISSN 973-768 Volume 4, Number 6 (8), pp. 89-87 Research Inda Publcaons hp://www.rpublcaon.com Exsence and Unqueness Resuls for Random Impulsve Inegro-Dfferenal

More information

Epistemic Game Theory: Online Appendix

Epistemic Game Theory: Online Appendix Epsemc Game Theory: Onlne Appendx Edde Dekel Lucano Pomao Marcano Snscalch July 18, 2014 Prelmnares Fx a fne ype srucure T I, S, T, β I and a probably µ S T. Le T µ I, S, T µ, βµ I be a ype srucure ha

More information

HEAT CONDUCTION PROBLEM IN A TWO-LAYERED HOLLOW CYLINDER BY USING THE GREEN S FUNCTION METHOD

HEAT CONDUCTION PROBLEM IN A TWO-LAYERED HOLLOW CYLINDER BY USING THE GREEN S FUNCTION METHOD Journal of Appled Mahemacs and Compuaonal Mechancs 3, (), 45-5 HEAT CONDUCTION PROBLEM IN A TWO-LAYERED HOLLOW CYLINDER BY USING THE GREEN S FUNCTION METHOD Sansław Kukla, Urszula Sedlecka Insue of Mahemacs,

More information

V.Abramov - FURTHER ANALYSIS OF CONFIDENCE INTERVALS FOR LARGE CLIENT/SERVER COMPUTER NETWORKS

V.Abramov - FURTHER ANALYSIS OF CONFIDENCE INTERVALS FOR LARGE CLIENT/SERVER COMPUTER NETWORKS R&RATA # Vol.) 8, March FURTHER AALYSIS OF COFIDECE ITERVALS FOR LARGE CLIET/SERVER COMPUTER ETWORKS Vyacheslav Abramov School of Mahemacal Scences, Monash Unversy, Buldng 8, Level 4, Clayon Campus, Wellngon

More information

Part II CONTINUOUS TIME STOCHASTIC PROCESSES

Part II CONTINUOUS TIME STOCHASTIC PROCESSES Par II CONTINUOUS TIME STOCHASTIC PROCESSES 4 Chaper 4 For an advanced analyss of he properes of he Wener process, see: Revus D and Yor M: Connuous marngales and Brownan Moon Karazas I and Shreve S E:

More information

Method of upper lower solutions for nonlinear system of fractional differential equations and applications

Method of upper lower solutions for nonlinear system of fractional differential equations and applications Malaya Journal of Maemak, Vol. 6, No. 3, 467-472, 218 hps://do.org/1.26637/mjm63/1 Mehod of upper lower soluons for nonlnear sysem of fraconal dfferenal equaons and applcaons D.B. Dhagude1 *, N.B. Jadhav2

More information

Survival Analysis and Reliability. A Note on the Mean Residual Life Function of a Parallel System

Survival Analysis and Reliability. A Note on the Mean Residual Life Function of a Parallel System Communcaons n Sascs Theory and Mehods, 34: 475 484, 2005 Copyrgh Taylor & Francs, Inc. ISSN: 0361-0926 prn/1532-415x onlne DOI: 10.1081/STA-200047430 Survval Analyss and Relably A Noe on he Mean Resdual

More information

Online Supplement for Dynamic Multi-Technology. Production-Inventory Problem with Emissions Trading

Online Supplement for Dynamic Multi-Technology. Production-Inventory Problem with Emissions Trading Onlne Supplemen for Dynamc Mul-Technology Producon-Invenory Problem wh Emssons Tradng by We Zhang Zhongsheng Hua Yu Xa and Baofeng Huo Proof of Lemma For any ( qr ) Θ s easy o verfy ha he lnear programmng

More information

Track Properities of Normal Chain

Track Properities of Normal Chain In. J. Conemp. Mah. Scences, Vol. 8, 213, no. 4, 163-171 HIKARI Ld, www.m-har.com rac Propes of Normal Chan L Chen School of Mahemacs and Sascs, Zhengzhou Normal Unversy Zhengzhou Cy, Hennan Provnce, 4544,

More information

CS286.2 Lecture 14: Quantum de Finetti Theorems II

CS286.2 Lecture 14: Quantum de Finetti Theorems II CS286.2 Lecure 14: Quanum de Fne Theorems II Scrbe: Mara Okounkova 1 Saemen of he heorem Recall he las saemen of he quanum de Fne heorem from he prevous lecure. Theorem 1 Quanum de Fne). Le ρ Dens C 2

More information

SOME NOISELESS CODING THEOREMS OF INACCURACY MEASURE OF ORDER α AND TYPE β

SOME NOISELESS CODING THEOREMS OF INACCURACY MEASURE OF ORDER α AND TYPE β SARAJEVO JOURNAL OF MATHEMATICS Vol.3 (15) (2007), 137 143 SOME NOISELESS CODING THEOREMS OF INACCURACY MEASURE OF ORDER α AND TYPE β M. A. K. BAIG AND RAYEES AHMAD DAR Absrac. In hs paper, we propose

More information

On One Analytic Method of. Constructing Program Controls

On One Analytic Method of. Constructing Program Controls Appled Mahemacal Scences, Vol. 9, 05, no. 8, 409-407 HIKARI Ld, www.m-hkar.com hp://dx.do.org/0.988/ams.05.54349 On One Analyc Mehod of Consrucng Program Conrols A. N. Kvko, S. V. Chsyakov and Yu. E. Balyna

More information

Should Exact Index Numbers have Standard Errors? Theory and Application to Asian Growth

Should Exact Index Numbers have Standard Errors? Theory and Application to Asian Growth Should Exac Index umbers have Sandard Errors? Theory and Applcaon o Asan Growh Rober C. Feensra Marshall B. Rensdorf ovember 003 Proof of Proposon APPEDIX () Frs, we wll derve he convenonal Sao-Vara prce

More information

A New Generalized Gronwall-Bellman Type Inequality

A New Generalized Gronwall-Bellman Type Inequality 22 Inernaonal Conference on Image, Vson and Comung (ICIVC 22) IPCSIT vol. 5 (22) (22) IACSIT Press, Sngaore DOI:.7763/IPCSIT.22.V5.46 A New Generalzed Gronwall-Bellman Tye Ineualy Qnghua Feng School of

More information

PHYS 1443 Section 001 Lecture #4

PHYS 1443 Section 001 Lecture #4 PHYS 1443 Secon 001 Lecure #4 Monda, June 5, 006 Moon n Two Dmensons Moon under consan acceleraon Projecle Moon Mamum ranges and heghs Reerence Frames and relae moon Newon s Laws o Moon Force Newon s Law

More information

On elements with index of the form 2 a 3 b in a parametric family of biquadratic elds

On elements with index of the form 2 a 3 b in a parametric family of biquadratic elds On elemens wh ndex of he form a 3 b n a paramerc famly of bquadrac elds Bora JadrevĆ Absrac In hs paper we gve some resuls abou prmve negral elemens p(c p n he famly of bcyclc bquadrac elds L c = Q ) c;

More information

[ ] 2. [ ]3 + (Δx i + Δx i 1 ) / 2. Δx i-1 Δx i Δx i+1. TPG4160 Reservoir Simulation 2018 Lecture note 3. page 1 of 5

[ ] 2. [ ]3 + (Δx i + Δx i 1 ) / 2. Δx i-1 Δx i Δx i+1. TPG4160 Reservoir Simulation 2018 Lecture note 3. page 1 of 5 TPG460 Reservor Smulaon 08 page of 5 DISCRETIZATIO OF THE FOW EQUATIOS As we already have seen, fne dfference appromaons of he paral dervaves appearng n he flow equaons may be obaned from Taylor seres

More information

@FMI c Kyung Moon Sa Co.

@FMI c Kyung Moon Sa Co. Annals of Fuzzy Mahemacs and Informacs Volume 8, No. 2, (Augus 2014), pp. 245 257 ISSN: 2093 9310 (prn verson) ISSN: 2287 6235 (elecronc verson) hp://www.afm.or.kr @FMI c Kyung Moon Sa Co. hp://www.kyungmoon.com

More information

Solution in semi infinite diffusion couples (error function analysis)

Solution in semi infinite diffusion couples (error function analysis) Soluon n sem nfne dffuson couples (error funcon analyss) Le us consder now he sem nfne dffuson couple of wo blocks wh concenraon of and I means ha, n a A- bnary sysem, s bondng beween wo blocks made of

More information

Existence of Time Periodic Solutions for the Ginzburg-Landau Equations. model of superconductivity

Existence of Time Periodic Solutions for the Ginzburg-Landau Equations. model of superconductivity Journal of Mahemacal Analyss and Applcaons 3, 3944 999 Arcle ID jmaa.999.683, avalable onlne a hp:www.dealbrary.com on Exsence of me Perodc Soluons for he Gnzburg-Landau Equaons of Superconducvy Bxang

More information

Approximate Analytic Solution of (2+1) - Dimensional Zakharov-Kuznetsov(Zk) Equations Using Homotopy

Approximate Analytic Solution of (2+1) - Dimensional Zakharov-Kuznetsov(Zk) Equations Using Homotopy Arcle Inernaonal Journal of Modern Mahemacal Scences, 4, (): - Inernaonal Journal of Modern Mahemacal Scences Journal homepage: www.modernscenfcpress.com/journals/jmms.aspx ISSN: 66-86X Florda, USA Approxmae

More information

Online Appendix for. Strategic safety stocks in supply chains with evolving forecasts

Online Appendix for. Strategic safety stocks in supply chains with evolving forecasts Onlne Appendx for Sraegc safey socs n supply chans wh evolvng forecass Tor Schoenmeyr Sephen C. Graves Opsolar, Inc. 332 Hunwood Avenue Hayward, CA 94544 A. P. Sloan School of Managemen Massachuses Insue

More information

Notes on the stability of dynamic systems and the use of Eigen Values.

Notes on the stability of dynamic systems and the use of Eigen Values. Noes on he sabl of dnamc ssems and he use of Egen Values. Source: Macro II course noes, Dr. Davd Bessler s Tme Seres course noes, zarads (999) Ineremporal Macroeconomcs chaper 4 & Techncal ppend, and Hamlon

More information

Tight results for Next Fit and Worst Fit with resource augmentation

Tight results for Next Fit and Worst Fit with resource augmentation Tgh resuls for Nex F and Wors F wh resource augmenaon Joan Boyar Leah Epsen Asaf Levn Asrac I s well known ha he wo smple algorhms for he classc n packng prolem, NF and WF oh have an approxmaon rao of

More information

CS434a/541a: Pattern Recognition Prof. Olga Veksler. Lecture 4

CS434a/541a: Pattern Recognition Prof. Olga Veksler. Lecture 4 CS434a/54a: Paern Recognon Prof. Olga Veksler Lecure 4 Oulne Normal Random Varable Properes Dscrmnan funcons Why Normal Random Varables? Analycally racable Works well when observaon comes form a corruped

More information

DEEP UNFOLDING FOR MULTICHANNEL SOURCE SEPARATION SUPPLEMENTARY MATERIAL

DEEP UNFOLDING FOR MULTICHANNEL SOURCE SEPARATION SUPPLEMENTARY MATERIAL DEEP UNFOLDING FOR MULTICHANNEL SOURCE SEPARATION SUPPLEMENTARY MATERIAL Sco Wsdom, John Hershey 2, Jonahan Le Roux 2, and Shnj Waanabe 2 Deparmen o Elecrcal Engneerng, Unversy o Washngon, Seale, WA, USA

More information

A Deza Frankl type theorem for set partitions

A Deza Frankl type theorem for set partitions A Deza Frankl ype heorem for se parons Cheng Yeaw Ku Deparmen of Mahemacs Naonal Unversy of Sngapore Sngapore 117543 makcy@nus.edu.sg Kok Bn Wong Insue of Mahemacal Scences Unversy of Malaya 50603 Kuala

More information

On the numerical treatment ofthenonlinear partial differentialequation of fractional order

On the numerical treatment ofthenonlinear partial differentialequation of fractional order IOSR Journal of Mahemacs (IOSR-JM) e-iss: 2278-5728, p-iss: 239-765X. Volume 2, Issue 6 Ver. I (ov. - Dec.26), PP 28-37 www.osrjournals.org On he numercal reamen ofhenonlnear paral dfferenalequaon of fraconal

More information

ON THE ADDITION OF UNITS AND NON-UNITS IN FINITE COMMUTATIVE RINGS

ON THE ADDITION OF UNITS AND NON-UNITS IN FINITE COMMUTATIVE RINGS ROCKY MOUNTAIN JOURNAL OF MATHEMATICS Volume 45, Number 6, 2015 ON THE ADDITION OF UNITS AND NON-UNITS IN FINITE COMMUTATIVE RINGS DARIUSH KIANI AND MOHSEN MOLLAHAJIAGHAEI ABSTRACT. Le R be a fne commuave

More information

Volatility Interpolation

Volatility Interpolation Volaly Inerpolaon Prelmnary Verson March 00 Jesper Andreasen and Bran Huge Danse Mares, Copenhagen wan.daddy@danseban.com brno@danseban.com Elecronc copy avalable a: hp://ssrn.com/absrac=69497 Inro Local

More information

e-journal Reliability: Theory& Applications No 2 (Vol.2) Vyacheslav Abramov

e-journal Reliability: Theory& Applications No 2 (Vol.2) Vyacheslav Abramov June 7 e-ournal Relably: Theory& Applcaons No (Vol. CONFIDENCE INTERVALS ASSOCIATED WITH PERFORMANCE ANALYSIS OF SYMMETRIC LARGE CLOSED CLIENT/SERVER COMPUTER NETWORKS Absrac Vyacheslav Abramov School

More information

Convergence of the Neumann series in higher norms

Convergence of the Neumann series in higher norms Convergence of he Neumann series in higher norms Charles L. Epsein Deparmen of Mahemaics, Universiy of Pennsylvania Version 1.0 Augus 1, 003 Absrac Naural condiions on an operaor A are given so ha he Neumann

More information

Discrete time approximation of decoupled Forward-Backward SDE with jumps

Discrete time approximation of decoupled Forward-Backward SDE with jumps Dscree me approxmaon of decoupled Forward-Backward SD wh jumps Bruno Bouchard, Romuald le To ce hs verson: Bruno Bouchard, Romuald le Dscree me approxmaon of decoupled Forward-Backward SD wh jumps Sochasc

More information

Variants of Pegasos. December 11, 2009

Variants of Pegasos. December 11, 2009 Inroducon Varans of Pegasos SooWoong Ryu bshboy@sanford.edu December, 009 Youngsoo Cho yc344@sanford.edu Developng a new SVM algorhm s ongong research opc. Among many exng SVM algorhms, we wll focus on

More information

SELFSIMILAR PROCESSES WITH STATIONARY INCREMENTS IN THE SECOND WIENER CHAOS

SELFSIMILAR PROCESSES WITH STATIONARY INCREMENTS IN THE SECOND WIENER CHAOS POBABILITY AD MATEMATICAL STATISTICS Vol., Fasc., pp. SELFSIMILA POCESSES WIT STATIOAY ICEMETS I TE SECOD WIEE CAOS BY M. M A E J I M A YOKOAMA AD C. A. T U D O LILLE Absrac. We sudy selfsmlar processes

More information

A NUMERICAL SCHEME FOR BSDES. BY JIANFENG ZHANG University of Southern California, Los Angeles

A NUMERICAL SCHEME FOR BSDES. BY JIANFENG ZHANG University of Southern California, Los Angeles The Annals of Appled Probably 24, Vol. 14, No. 1, 459 488 Insue of Mahemacal Sascs, 24 A NUMERICAL SCHEME FOR BSDES BY JIANFENG ZHANG Unversy of Souhern Calforna, Los Angeles In hs paper we propose a numercal

More information

Pathwise integration with respect to paths of finite quadratic variation

Pathwise integration with respect to paths of finite quadratic variation JMPA-16-1851 Journal de Mahémaques Pures e Applquées (216) Pahwse negraon wh respec o pahs of fne quadrac varaon Anna ANANOVA a & Rama CONT a,b a Deparmen of Mahemacs, Imperal College London. b Laboraore

More information

Appendix H: Rarefaction and extrapolation of Hill numbers for incidence data

Appendix H: Rarefaction and extrapolation of Hill numbers for incidence data Anne Chao Ncholas J Goell C seh lzabeh L ander K Ma Rober K Colwell and Aaron M llson 03 Rarefacon and erapolaon wh ll numbers: a framewor for samplng and esmaon n speces dversy sudes cology Monographs

More information

CH.3. COMPATIBILITY EQUATIONS. Continuum Mechanics Course (MMC) - ETSECCPB - UPC

CH.3. COMPATIBILITY EQUATIONS. Continuum Mechanics Course (MMC) - ETSECCPB - UPC CH.3. COMPATIBILITY EQUATIONS Connuum Mechancs Course (MMC) - ETSECCPB - UPC Overvew Compably Condons Compably Equaons of a Poenal Vecor Feld Compably Condons for Infnesmal Srans Inegraon of he Infnesmal

More information

CONSISTENT ESTIMATION OF THE NUMBER OF DYNAMIC FACTORS IN A LARGE N AND T PANEL. Detailed Appendix

CONSISTENT ESTIMATION OF THE NUMBER OF DYNAMIC FACTORS IN A LARGE N AND T PANEL. Detailed Appendix COSISE ESIMAIO OF HE UMBER OF DYAMIC FACORS I A LARGE AD PAEL Dealed Aendx July 005 hs verson: May 9, 006 Dane Amengual Dearmen of Economcs, Prnceon Unversy and Mar W Wason* Woodrow Wlson School and Dearmen

More information

. The geometric multiplicity is dim[ker( λi. number of linearly independent eigenvectors associated with this eigenvalue.

. The geometric multiplicity is dim[ker( λi. number of linearly independent eigenvectors associated with this eigenvalue. Lnear Algebra Lecure # Noes We connue wh he dscusson of egenvalues, egenvecors, and dagonalzably of marces We wan o know, n parcular wha condons wll assure ha a marx can be dagonalzed and wha he obsrucons

More information

. The geometric multiplicity is dim[ker( λi. A )], i.e. the number of linearly independent eigenvectors associated with this eigenvalue.

. The geometric multiplicity is dim[ker( λi. A )], i.e. the number of linearly independent eigenvectors associated with this eigenvalue. Mah E-b Lecure #0 Noes We connue wh he dscusson of egenvalues, egenvecors, and dagonalzably of marces We wan o know, n parcular wha condons wll assure ha a marx can be dagonalzed and wha he obsrucons are

More information

CHARACTERIZATION OF REARRANGEMENT INVARIANT SPACES WITH FIXED POINTS FOR THE HARDY LITTLEWOOD MAXIMAL OPERATOR

CHARACTERIZATION OF REARRANGEMENT INVARIANT SPACES WITH FIXED POINTS FOR THE HARDY LITTLEWOOD MAXIMAL OPERATOR Annales Academiæ Scieniarum Fennicæ Mahemaica Volumen 31, 2006, 39 46 CHARACTERIZATION OF REARRANGEMENT INVARIANT SPACES WITH FIXED POINTS FOR THE HARDY LITTLEWOOD MAXIMAL OPERATOR Joaquim Marín and Javier

More information

John Geweke a and Gianni Amisano b a Departments of Economics and Statistics, University of Iowa, USA b European Central Bank, Frankfurt, Germany

John Geweke a and Gianni Amisano b a Departments of Economics and Statistics, University of Iowa, USA b European Central Bank, Frankfurt, Germany Herarchcal Markov Normal Mxure models wh Applcaons o Fnancal Asse Reurns Appendx: Proofs of Theorems and Condonal Poseror Dsrbuons John Geweke a and Gann Amsano b a Deparmens of Economcs and Sascs, Unversy

More information

Supporting information How to concatenate the local attractors of subnetworks in the HPFP

Supporting information How to concatenate the local attractors of subnetworks in the HPFP n Effcen lgorh for Idenfyng Prry Phenoype rcors of Lrge-Scle Boolen Newor Sng-Mo Choo nd Kwng-Hyun Cho Depren of Mhecs Unversy of Ulsn Ulsn 446 Republc of Kore Depren of Bo nd Brn Engneerng Kore dvnced

More information

Mechanics Physics 151

Mechanics Physics 151 Mechancs Physcs 5 Lecure 0 Canoncal Transformaons (Chaper 9) Wha We Dd Las Tme Hamlon s Prncple n he Hamlonan formalsm Dervaon was smple δi δ Addonal end-pon consrans pq H( q, p, ) d 0 δ q ( ) δq ( ) δ

More information

Dynamic Team Decision Theory. EECS 558 Project Shrutivandana Sharma and David Shuman December 10, 2005

Dynamic Team Decision Theory. EECS 558 Project Shrutivandana Sharma and David Shuman December 10, 2005 Dynamc Team Decson Theory EECS 558 Proec Shruvandana Sharma and Davd Shuman December 0, 005 Oulne Inroducon o Team Decson Theory Decomposon of he Dynamc Team Decson Problem Equvalence of Sac and Dynamc

More information

M. Y. Adamu Mathematical Sciences Programme, AbubakarTafawaBalewa University, Bauchi, Nigeria

M. Y. Adamu Mathematical Sciences Programme, AbubakarTafawaBalewa University, Bauchi, Nigeria IOSR Journal of Mahemacs (IOSR-JM e-issn: 78-578, p-issn: 9-765X. Volume 0, Issue 4 Ver. IV (Jul-Aug. 04, PP 40-44 Mulple SolonSoluons for a (+-dmensonalhroa-sasuma shallow waer wave equaon UsngPanlevé-Bӓclund

More information

Department of Economics University of Toronto

Department of Economics University of Toronto Deparmen of Economcs Unversy of Torono ECO408F M.A. Economercs Lecure Noes on Heeroskedascy Heeroskedascy o Ths lecure nvolves lookng a modfcaons we need o make o deal wh he regresson model when some of

More information

In the complete model, these slopes are ANALYSIS OF VARIANCE FOR THE COMPLETE TWO-WAY MODEL. (! i+1 -! i ) + [(!") i+1,q - [(!

In the complete model, these slopes are ANALYSIS OF VARIANCE FOR THE COMPLETE TWO-WAY MODEL. (! i+1 -! i ) + [(!) i+1,q - [(! ANALYSIS OF VARIANCE FOR THE COMPLETE TWO-WAY MODEL The frs hng o es n wo-way ANOVA: Is here neracon? "No neracon" means: The man effecs model would f. Ths n urn means: In he neracon plo (wh A on he horzonal

More information

THE GENERALIZED PASCAL MATRIX VIA THE GENERALIZED FIBONACCI MATRIX AND THE GENERALIZED PELL MATRIX

THE GENERALIZED PASCAL MATRIX VIA THE GENERALIZED FIBONACCI MATRIX AND THE GENERALIZED PELL MATRIX J Korean Mah Soc 45 008, No, pp 479 49 THE GENERALIZED PASCAL MATRIX VIA THE GENERALIZED FIBONACCI MATRIX AND THE GENERALIZED PELL MATRIX Gwang-yeon Lee and Seong-Hoon Cho Reprined from he Journal of he

More information

Mechanics Physics 151

Mechanics Physics 151 Mechancs Physcs 5 Lecure 9 Hamlonan Equaons of Moon (Chaper 8) Wha We Dd Las Tme Consruced Hamlonan formalsm H ( q, p, ) = q p L( q, q, ) H p = q H q = p H = L Equvalen o Lagrangan formalsm Smpler, bu

More information

Attribute Reduction Algorithm Based on Discernibility Matrix with Algebraic Method GAO Jing1,a, Ma Hui1, Han Zhidong2,b

Attribute Reduction Algorithm Based on Discernibility Matrix with Algebraic Method GAO Jing1,a, Ma Hui1, Han Zhidong2,b Inernaonal Indusral Informacs and Compuer Engneerng Conference (IIICEC 05) Arbue educon Algorhm Based on Dscernbly Marx wh Algebrac Mehod GAO Jng,a, Ma Hu, Han Zhdong,b Informaon School, Capal Unversy

More information

10. A.C CIRCUITS. Theoretically current grows to maximum value after infinite time. But practically it grows to maximum after 5τ. Decay of current :

10. A.C CIRCUITS. Theoretically current grows to maximum value after infinite time. But practically it grows to maximum after 5τ. Decay of current : . A. IUITS Synopss : GOWTH OF UNT IN IUIT : d. When swch S s closed a =; = d. A me, curren = e 3. The consan / has dmensons of me and s called he nducve me consan ( τ ) of he crcu. 4. = τ; =.63, n one

More information

Mechanics Physics 151

Mechanics Physics 151 Mechancs Physcs 5 Lecure 9 Hamlonan Equaons of Moon (Chaper 8) Wha We Dd Las Tme Consruced Hamlonan formalsm Hqp (,,) = qp Lqq (,,) H p = q H q = p H L = Equvalen o Lagrangan formalsm Smpler, bu wce as

More information

Motion of Wavepackets in Non-Hermitian. Quantum Mechanics

Motion of Wavepackets in Non-Hermitian. Quantum Mechanics Moon of Wavepaces n Non-Herman Quanum Mechancs Nmrod Moseyev Deparmen of Chemsry and Mnerva Cener for Non-lnear Physcs of Complex Sysems, Technon-Israel Insue of Technology www.echnon echnon.ac..ac.l\~nmrod

More information

Cubic Bezier Homotopy Function for Solving Exponential Equations

Cubic Bezier Homotopy Function for Solving Exponential Equations Penerb Journal of Advanced Research n Compung and Applcaons ISSN (onlne: 46-97 Vol. 4, No.. Pages -8, 6 omoopy Funcon for Solvng Eponenal Equaons S. S. Raml *,,. Mohamad Nor,a, N. S. Saharzan,b and M.

More information

Robustness Experiments with Two Variance Components

Robustness Experiments with Two Variance Components Naonal Insue of Sandards and Technology (NIST) Informaon Technology Laboraory (ITL) Sascal Engneerng Dvson (SED) Robusness Expermens wh Two Varance Componens by Ana Ivelsse Avlés avles@ns.gov Conference

More information

A NEW TECHNIQUE FOR SOLVING THE 1-D BURGERS EQUATION

A NEW TECHNIQUE FOR SOLVING THE 1-D BURGERS EQUATION S19 A NEW TECHNIQUE FOR SOLVING THE 1-D BURGERS EQUATION by Xaojun YANG a,b, Yugu YANG a*, Carlo CATTANI c, and Mngzheng ZHU b a Sae Key Laboraory for Geomechancs and Deep Underground Engneerng, Chna Unversy

More information

The Shapley value for fuzzy games on vague sets

The Shapley value for fuzzy games on vague sets WEA TRANACTIN on INFRMATIN CIENCE APPLICATIN The hapley value or uzzy games on vague ses Fan-Yong Meng* (Correspondng Auhor chool o Managemen Qngdao Technologcal nversy Qngdao 266520 hong Provnce P R Chna

More information

Sobolev-type Inequality for Spaces L p(x) (R N )

Sobolev-type Inequality for Spaces L p(x) (R N ) In. J. Conemp. Mah. Sciences, Vol. 2, 27, no. 9, 423-429 Sobolev-ype Inequaliy for Spaces L p(x ( R. Mashiyev and B. Çekiç Universiy of Dicle, Faculy of Sciences and Ars Deparmen of Mahemaics, 228-Diyarbakir,

More information

Chapter Lagrangian Interpolation

Chapter Lagrangian Interpolation Chaper 5.4 agrangan Inerpolaon Afer readng hs chaper you should be able o:. dere agrangan mehod of nerpolaon. sole problems usng agrangan mehod of nerpolaon and. use agrangan nerpolans o fnd deraes and

More information

( ) () we define the interaction representation by the unitary transformation () = ()

( ) () we define the interaction representation by the unitary transformation () = () Hgher Order Perurbaon Theory Mchael Fowler 3/7/6 The neracon Represenaon Recall ha n he frs par of hs course sequence, we dscussed he chrödnger and Hesenberg represenaons of quanum mechancs here n he chrödnger

More information

Math 128b Project. Jude Yuen

Math 128b Project. Jude Yuen Mah 8b Proec Jude Yuen . Inroducon Le { Z } be a sequence of observed ndependen vecor varables. If he elemens of Z have a on normal dsrbuon hen { Z } has a mean vecor Z and a varancecovarance marx z. Geomercally

More information

( t) Outline of program: BGC1: Survival and event history analysis Oslo, March-May Recapitulation. The additive regression model

( t) Outline of program: BGC1: Survival and event history analysis Oslo, March-May Recapitulation. The additive regression model BGC1: Survval and even hsory analyss Oslo, March-May 212 Monday May 7h and Tuesday May 8h The addve regresson model Ørnulf Borgan Deparmen of Mahemacs Unversy of Oslo Oulne of program: Recapulaon Counng

More information

Supersingular Abelian Varieties over Finite Fields

Supersingular Abelian Varieties over Finite Fields Journal of Number Theory 86, 6177 (2001) do:10.1006jnh.2000.2562, avalable onlne a hp:www.dealbrary.com on Supersngular Abelan Varees over Fne Felds Hu June Zhu Deparmen of Mahemacs, Unversy of Calforna,

More information

Anomaly Detection. Lecture Notes for Chapter 9. Introduction to Data Mining, 2 nd Edition by Tan, Steinbach, Karpatne, Kumar

Anomaly Detection. Lecture Notes for Chapter 9. Introduction to Data Mining, 2 nd Edition by Tan, Steinbach, Karpatne, Kumar Anomaly eecon Lecure Noes for Chaper 9 Inroducon o aa Mnng, 2 nd Edon by Tan, Senbach, Karpane, Kumar 2/14/18 Inroducon o aa Mnng, 2nd Edon 1 Anomaly/Ouler eecon Wha are anomales/oulers? The se of daa

More information

Periodic motions of a class of forced infinite lattices with nearest neighbor interaction

Periodic motions of a class of forced infinite lattices with nearest neighbor interaction J. Mah. Anal. Appl. 34 28 44 52 www.elsever.co/locae/jaa Peroc oons of a class of force nfne laces wh neares neghbor neracon Chao Wang a,b,, Dngban Qan a a School of Maheacal Scence, Suzhou Unversy, Suzhou

More information

This article appeared in a journal published by Elsevier. The attached copy is furnished to the author for internal non-commercial research and

This article appeared in a journal published by Elsevier. The attached copy is furnished to the author for internal non-commercial research and hs arcle appeared n a journal publshed by Elsever. he aached copy s furnshed o he auhor for nernal non-commercal research and educaon use, ncludng for nsrucon a he auhors nsuon and sharng wh colleagues.

More information

Lecture 11 SVM cont

Lecture 11 SVM cont Lecure SVM con. 0 008 Wha we have done so far We have esalshed ha we wan o fnd a lnear decson oundary whose margn s he larges We know how o measure he margn of a lnear decson oundary Tha s: he mnmum geomerc

More information

Improvement in Estimating Population Mean using Two Auxiliary Variables in Two-Phase Sampling

Improvement in Estimating Population Mean using Two Auxiliary Variables in Two-Phase Sampling Rajesh ngh Deparmen of ascs, Banaras Hndu Unvers(U.P.), Inda Pankaj Chauhan, Nrmala awan chool of ascs, DAVV, Indore (M.P.), Inda Florenn marandache Deparmen of Mahemacs, Unvers of New Meco, Gallup, UA

More information

Noise prevents collapse of Vlasov Poisson point charges

Noise prevents collapse of Vlasov Poisson point charges Nose prevens collapse of Vlasov Posson pon charges Franços Delarue, Franco Flandol, Daro Vncenz To ce hs verson: Franços Delarue, Franco Flandol, Daro Vncenz. Nose prevens collapse of Vlasov Posson pon

More information

New M-Estimator Objective Function. in Simultaneous Equations Model. (A Comparative Study)

New M-Estimator Objective Function. in Simultaneous Equations Model. (A Comparative Study) Inernaonal Mahemacal Forum, Vol. 8, 3, no., 7 - HIKARI Ld, www.m-hkar.com hp://dx.do.org/.988/mf.3.3488 New M-Esmaor Objecve Funcon n Smulaneous Equaons Model (A Comparave Sudy) Ahmed H. Youssef Professor

More information

arxiv: v1 [math.dg] 21 Dec 2007

arxiv: v1 [math.dg] 21 Dec 2007 A priori L -esimaes for degenerae complex Monge-Ampère equaions ariv:07123743v1 [mahdg] 21 Dec 2007 P Eyssidieux, V Guedj and A Zeriahi February 2, 2008 Absrac : We sudy families of complex Monge-Ampère

More information

P R = P 0. The system is shown on the next figure:

P R = P 0. The system is shown on the next figure: TPG460 Reservor Smulaon 08 page of INTRODUCTION TO RESERVOIR SIMULATION Analycal and numercal soluons of smple one-dmensonal, one-phase flow equaons As an nroducon o reservor smulaon, we wll revew he smples

More information

Improvement in Estimating Population Mean using Two Auxiliary Variables in Two-Phase Sampling

Improvement in Estimating Population Mean using Two Auxiliary Variables in Two-Phase Sampling Improvemen n Esmang Populaon Mean usng Two Auxlar Varables n Two-Phase amplng Rajesh ngh Deparmen of ascs, Banaras Hndu Unvers(U.P.), Inda (rsnghsa@ahoo.com) Pankaj Chauhan and Nrmala awan chool of ascs,

More information

By HENRY H. KIM and KYU-HWAN LEE

By HENRY H. KIM and KYU-HWAN LEE SPHERICAL HECKE ALGEBRAS OF SL OVER -DIMENSIONAL LOCAL FIELDS By HENRY H. KIM and KYU-HWAN LEE Absrac. In hs paper, we sudy sphercal Hece algebras of SL over wo dmensonal local felds. In order o defne

More information

L p -L q -Time decay estimate for solution of the Cauchy problem for hyperbolic partial differential equations of linear thermoelasticity

L p -L q -Time decay estimate for solution of the Cauchy problem for hyperbolic partial differential equations of linear thermoelasticity ANNALES POLONICI MATHEMATICI LIV.2 99) L p -L q -Time decay esimae for soluion of he Cauchy problem for hyperbolic parial differenial equaions of linear hermoelasiciy by Jerzy Gawinecki Warszawa) Absrac.

More information

THEORETICAL AUTOCORRELATIONS. ) if often denoted by γ. Note that

THEORETICAL AUTOCORRELATIONS. ) if often denoted by γ. Note that THEORETICAL AUTOCORRELATIONS Cov( y, y ) E( y E( y))( y E( y)) ρ = = Var( y) E( y E( y)) =,, L ρ = and Cov( y, y ) s ofen denoed by whle Var( y ) f ofen denoed by γ. Noe ha γ = γ and ρ = ρ and because

More information

THE PREDICTION OF COMPETITIVE ENVIRONMENT IN BUSINESS

THE PREDICTION OF COMPETITIVE ENVIRONMENT IN BUSINESS THE PREICTION OF COMPETITIVE ENVIRONMENT IN BUSINESS INTROUCTION The wo dmensonal paral dfferenal equaons of second order can be used for he smulaon of compeve envronmen n busness The arcle presens he

More information

Higher-order numerical scheme for linear quadratic problems with bang bang controls

Higher-order numerical scheme for linear quadratic problems with bang bang controls Compu Opm Appl DOI 1.17/s1589-17-9948-z Hgher-order numercal scheme for lnear quadrac problems wh bang bang conrols T. Scarnc 1 V. M. Velov Receved: 3 June 17 The Auhors 17. Ths arcle s an open access

More information

Performance Analysis for a Network having Standby Redundant Unit with Waiting in Repair

Performance Analysis for a Network having Standby Redundant Unit with Waiting in Repair TECHNI Inernaonal Journal of Compung Scence Communcaon Technologes VOL.5 NO. July 22 (ISSN 974-3375 erformance nalyss for a Nework havng Sby edundan Un wh ang n epar Jendra Sngh 2 abns orwal 2 Deparmen

More information

Advanced Machine Learning & Perception

Advanced Machine Learning & Perception Advanced Machne Learnng & Percepon Insrucor: Tony Jebara SVM Feaure & Kernel Selecon SVM Eensons Feaure Selecon (Flerng and Wrappng) SVM Feaure Selecon SVM Kernel Selecon SVM Eensons Classfcaon Feaure/Kernel

More information

How about the more general "linear" scalar functions of scalars (i.e., a 1st degree polynomial of the following form with a constant term )?

How about the more general linear scalar functions of scalars (i.e., a 1st degree polynomial of the following form with a constant term )? lmcd Lnear ransformaon of a vecor he deas presened here are que general hey go beyond he radonal mar-vecor ype seen n lnear algebra Furhermore, hey do no deal wh bass and are equally vald for any se of

More information

Journal of Econometrics. The limit distribution of the estimates in cointegrated regression models with multiple structural changes

Journal of Econometrics. The limit distribution of the estimates in cointegrated regression models with multiple structural changes Journal of Economercs 46 (8 59 73 Conens lss avalable a ScenceDrec Journal of Economercs ournal homepage: www.elsever.com/locae/econom he lm dsrbuon of he esmaes n conegraed regresson models wh mulple

More information

Lecture 18: The Laplace Transform (See Sections and 14.7 in Boas)

Lecture 18: The Laplace Transform (See Sections and 14.7 in Boas) Lecure 8: The Lalace Transform (See Secons 88- and 47 n Boas) Recall ha our bg-cure goal s he analyss of he dfferenal equaon, ax bx cx F, where we emloy varous exansons for he drvng funcon F deendng on

More information

arxiv: v3 [math.pr] 29 Aug 2016

arxiv: v3 [math.pr] 29 Aug 2016 arxv:163.335v3 [mah.pr] 29 Aug 216 Pahwse negraon wh respec o pahs of fne quadrac varaon Anna ANANOVA and Rama CONT Revsed: Augus 216. To appear n: Journal de Mahémaques Pures e Applquées. Asrac We sudy

More information

Ordinary Differential Equations in Neuroscience with Matlab examples. Aim 1- Gain understanding of how to set up and solve ODE s

Ordinary Differential Equations in Neuroscience with Matlab examples. Aim 1- Gain understanding of how to set up and solve ODE s Ordnary Dfferenal Equaons n Neuroscence wh Malab eamples. Am - Gan undersandng of how o se up and solve ODE s Am Undersand how o se up an solve a smple eample of he Hebb rule n D Our goal a end of class

More information

Linear and projective boundaries in HNN-extensions and distortion phenomena

Linear and projective boundaries in HNN-extensions and distortion phenomena J. Group Theory 18 (215), 455 488 DOI 1.1515/jgh-215-2 de Gruyer 215 Lnear and projecve boundares n HNN-exensons and dsoron phenomena Bernhard Krön, Jörg Lehner and Maya Sen Communcaed by Alexander Olshansk

More information

Econ107 Applied Econometrics Topic 5: Specification: Choosing Independent Variables (Studenmund, Chapter 6)

Econ107 Applied Econometrics Topic 5: Specification: Choosing Independent Variables (Studenmund, Chapter 6) Econ7 Appled Economercs Topc 5: Specfcaon: Choosng Independen Varables (Sudenmund, Chaper 6 Specfcaon errors ha we wll deal wh: wrong ndependen varable; wrong funconal form. Ths lecure deals wh wrong ndependen

More information

MAXIMIN POWER DESIGNS IN TESTING LACK OF FIT Douglas P. Wiens 1. July 30, 2018

MAXIMIN POWER DESIGNS IN TESTING LACK OF FIT Douglas P. Wiens 1. July 30, 2018 MAXIMIN POWER DESIGNS IN TESTING LACK OF FIT Douglas P. Wens July 3, 28 Absrac In a prevous arcle (Wens, 99) we esablshed a maxmn propery, wh respec o he power of he es for Lack of F, of he absoluely connuous

More information

Two-scale convergence

Two-scale convergence Two-scale convergence Dag Lukkassen y, Gabriel Nguetseng z and Peter Wall x (Dedicated to the memory of Jacques-Louis Lions 1928-2001) Abstract This paper is devoted to the properties and applications

More information

FTCS Solution to the Heat Equation

FTCS Solution to the Heat Equation FTCS Soluon o he Hea Equaon ME 448/548 Noes Gerald Reckenwald Porland Sae Unversy Deparmen of Mechancal Engneerng gerry@pdxedu ME 448/548: FTCS Soluon o he Hea Equaon Overvew Use he forward fne d erence

More information

Testing a new idea to solve the P = NP problem with mathematical induction

Testing a new idea to solve the P = NP problem with mathematical induction Tesng a new dea o solve he P = NP problem wh mahemacal nducon Bacground P and NP are wo classes (ses) of languages n Compuer Scence An open problem s wheher P = NP Ths paper ess a new dea o compare he

More information

t 2 B F x,t n dsdt t u x,t dxdt

t 2 B F x,t n dsdt t u x,t dxdt Evoluion Equaions For 0, fixed, le U U0, where U denoes a bounded open se in R n.suppose ha U is filled wih a maerial in which a conaminan is being ranspored by various means including diffusion and convecion.

More information

arxiv: v1 [math.pr] 19 Feb 2011

arxiv: v1 [math.pr] 19 Feb 2011 A NOTE ON FELLER SEMIGROUPS AND RESOLVENTS VADIM KOSTRYKIN, JÜRGEN POTTHOFF, AND ROBERT SCHRADER ABSTRACT. Various equivalen condiions for a semigroup or a resolven generaed by a Markov process o be of

More information

Clustering (Bishop ch 9)

Clustering (Bishop ch 9) Cluserng (Bshop ch 9) Reference: Daa Mnng by Margare Dunham (a slde source) 1 Cluserng Cluserng s unsupervsed learnng, here are no class labels Wan o fnd groups of smlar nsances Ofen use a dsance measure

More information