Matrix Inequalities in the Theory of Mixed Quermassintegrals and the L p -Brunn-Minkowski Theory

Size: px
Start display at page:

Download "Matrix Inequalities in the Theory of Mixed Quermassintegrals and the L p -Brunn-Minkowski Theory"

Transcription

1 WSEAS TRANSACTIONS o MATHEMATICS Matrx Iequaltes the Theory of Mxed Quermasstegrals ad the L -Bru-Mows Theory JOHN A. GORDON Deartmet of Mathematcs ad Comuter Scece Cty Uversty of New Yor-Queesborough Commuty College Baysde, New Yor, 364 USA jgordo@qcc.cuy.edu Abstract: The Bru-Mows theory s cetral to covex geometrc aalyss, ad mxed quermasstegrals ad mxed -quermasstegrals lay a very mortat role ths theory. Durg the ast quarter of a cetury both duals ad L extesos of ths theory have bee develoed. It s the am of ths reset wor to cotue the develomet of aalogues, for ostve defte symmetrc matrces, of some of the fudametal otatos, varats, ad equaltes of mxed quermasstegrals, mxed -quermasstegrals ad L Bru-Mows theory. Key Words: Mxed determat, Ordary Quermasstegral, Mxed Quermasstegral, Mxed -Quermasstegral Matrx L -sum, Mows equalty, L -Bru Mows equalty. Itroducto Ths aer establshes mortat matrx equaltes that are aalogous to some fudametal equaltes covex geometry. The two fudametal equaltes are the Mows ad Bru-Mows equaltes. The otos of mxed determats, matrx L - sum, ad symmetrc matrx olyomals for ostve defte symmetrc matrces are quoted ad used to establsh these equaltes. 2 Mxed Determats Defto 2. Mxed Determat [] If A,..., A r are ostve defte symmetrc matrces ad λ,..., λ r are oegatve real umbers, the of fudametal mortace s the fact that the determat of λ A + + λ r A r s a homogeeous olyomal of degree λ,..., λ r gve by Dλ A + + λ r A r λ,..., λ DA,..., A where the sum s tae over all -tules of ostve tegers,..., whose etres do ot exceed r. The coeffcet DA,..., A s the mxed determat of the matrces A,..., A ad s uquely determed by the requremet that t be symmetrc ts argumets. The mxed determat DA, A 2,..., A of matrces A, A 2,..., A ca be regarded as the arthmetc mea of the determats of all ossble matrces that have exactly oe row from the corresodg rows of A, A 2,..., A Praayautaa []. Proertes of Mxed Determats The followg roertes for mxed determats are well ow see for examle Praayautaa []. For matrces A,..., A, B, B ad scalars λ,..., λ : 2. DA,..., A DA π,..., A π where π s a ermutato o {, 2,..., }. 2.2 DA,..., A, B + B DA,..., A, B + DA,..., A, B 2.3 Dλ A,..., λ A λ λ DA,..., A Notato: A, B M s,+, where M s,+ s the sace of, symmetrc, ostve, defte matrces, ad 0, we let DA, ; B, DA,..., A, B,..., B }{{}}{{} coes coes for otatoal smlfcato uroses. We ow state a mortat ad useful theorem for our wor. E-ISSN: Volume 5, 206

2 WSEAS TRANSACTIONS o MATHEMATICS Theorem 2.2 Alesadrov [4, 5] Let A,..., A be real symmetrc matrces where A 2,..., A are ostve defte. The D 2 A, A 2, A 3,..., A DA, A, A 3,..., A DA 2, A 2, A 3,..., A. Equalty holds f ad oly f A λa 2 where λ > 0 s a real umber. The form of ths theorem most sutable for our uroses, states that: D s A, s + t; ΦD t B, s + t; Φ D s+t A, s; B, t; Φ where A, B are ostve defte symmetrc matrces ad Φ s ay s t-tule of ostve defte symmetrc matrces. Equalty holds f ad oly f A λb where λ > 0 a real umber. A very useful equalty ca be obtaed by reeated alcatos of the Alesadrov equalty: Lemma 2.3 For A,..., A M s,+, DA DA D A,..., A. Equalty holds f ad oly f A,, 2,..., are scalar multles of each other; that s, A c j A j, where c j > 0, j. A secal case of ths geeral equalty s the Mows equalty. Theorem 2.4 Mows [] If A ad B M s,+ AD B, wth equalty the D A, B D f ad oly f A cb, c > 0, ad D A, B DA, ; B,. We ow rove the matrx aalog of the Bru- Mows theorem from covex geometry. Theorem 2.5 If A, B M s,+ the D A + B D A+D B, wth equalty f ad oly f A cb, where c s a ozero scalar. Proof. DA + B D A + B, A + B DA + B, ; A + B DA + B, ; A + DA + B, ; B DA + B D A + DA + B D B. Thus we obta D A + B D A + D B. We ow rove a Uqueess Theorem smlar to oe roved by Praayautaa []. Theorem 2.6 Uqueess Theorem Suose A, B, C M s,+ the: m-. D A, C D B, C for all C M s,+ les A B m- 2. D A, B D A, C for all A M s,+ les B C. Proof. The roof of arts ad 2 are very smlar, ad so we oly gve the roof of art. The Mows equalty states that D A, B D ADB for A, B M s,+, wth equalty f ad oly f A cb, c > 0. Sce D A, C D B, C, usg C A, we have DA D A, A D B, A D BD A, wth equalty f ad oly f A cb, c > 0. Sce A s ostve defte, DA > 0 ad D A > 0, ad the the last equalty becomes D A D B ad therefore DA DB, wth equalty f ad oly f A cb, c > 0. Smlarly, we ca show that DB DA, wth equalty f ad oly f A cb, c > 0. We the coclude that DA DB ad A cb, c > 0. Ths s ossble f ad oly f c, ad cosequetly A B. 3 Symmetrc Polyomals Iequalty of Elemetary Defto 3. The th elemetary symmetrc olyomals s x o varables x x,..., x are defed by s x x, s 2 x s x <j x x j, s 3 x < < l <j< x x j x,... x l,..., s x The elemetary symmetrc olyomal fuctos evaluated at λ,..., λ, where λ are the egevalues of A, are related to the characterstc olyomal of a matrx. Precsely, f A t DtI A s the characterstc olyomal of the matrx A, the A t t s λt + s 2 λt 2 ± s λ where s λ s λ,..., λ. Defto 3.2 [4] Let A be a matrx. For the dex set α {,..., }, we deote the rcal submatrx that les the rows ad colums of A dexed by α as A[α, α], or brefly, A[α]. The determat of such a rcal submatrx s called a rcal mor. x E-ISSN: Volume 5, 206

3 WSEAS TRANSACTIONS o MATHEMATICS We deote the sum of the dfferet rcal mors of A M s,+ by E A. Therefore E A : J α α J A[α], where J {,..., } I artcular E A a tra ad E A detas x,..., x evaluated at the egevalues λ,..., λ of A equals E A. Defto 3.3 Oerator Mootoe [7] A realvalued cotuous fucto ft defed o a real terval Ω s sad to be oerator mootoe f A B fa fb for all symmetrc matrces A, B of all szes whose egevalues are cotaed Ω. Defto 3.4 Oerator Covex/Cocave [7] A real-valued cotuous fucto ft defed o a real terval Ω s called oerator covex f for ay 0 < ε <, fεa+ εb εfa+ εfb holds for all symmetrc matrces A, B of all szes wth egevalues Ω. f s called oerator cocave f f s oerator covex. Defto 3.5 Postve Ma [7] A ma Φ : M m M s called ostve f t mas ostve semdefte matrces to ostve semdefte matrces: A 0 ΦA 0. M m ad M are the saces of m m ad matrces resectvely. Proof. Sce D / λa, ; I, λd / A, ; I,. It suffces to rove that D / A + B, ; I, D / A, ; I, + D / B, ; I,. Ths ca be obtaed by alyg the Alesadrov equalty 2.4 to the exaso of DA, ; I, as follows: DA + B, ; I, DA, ; B, ; I, 0 0 D A, ; I, D B, ; I, D / A, ; I, + D / B, ; I, The scalar matrx oerator f : A D / A, ; I, s oerator cocave, ad by Theorem 3.7 s oerator mootoe. It s easy to see that Φ : A A I s a utal ostve lear ma. Here deotes the Hadamard roduct of A ad I. Therefore by Theorem 3.8 we have Ths mles D / A I, ; I, I D / A, ; I, I I D / A, ; I, I. Defto 3.6 Utal Ma [6] A ma Φ : M M s called utal f ΦI m I. D / A I, ; I, D / A, ; I, 3.8a Theorem 3.7 Oerator Mootoe ad Oerator Cocave Fuctos [7] A oegatve cotuous fucto o [0, s oerator mootoe f ad oly f t s oerator cocave. Theorem 3.8 [7] Let Φ be a utal ostve lear ma from M m to M ad f a oerator mootoe fucto o [0,. The for every A 0 M s, fφa ΦfA. Theorem 3.9 The ma A D / A, ; I, from M s,+ to 0, s oerator cocave. Sce, t t s a creasg fucto o 0,, the 3.8a s equvalet to DA I, ; I, DA, ; I, Theorem 3.0 [2] Let A M s,+. The s a,..., a s λ,..., λ 3.8b 3.9a 0, where a ad λ,, 2,...,, are dagoal etres ad egevalues of A, resectvely. Proof. The equalty follows from the fact that A DA, ; I, s varat uder smlarty trasformato, artcularly the dagolzato trasformato A P P. Therefore 3.8b s equvalet to D[a j δ j ], ; I, D, ; I, 3.9b where δ j f j ad zero otherwse. Ths gves the desred result 3.9a. E-ISSN: Volume 5, 206

4 WSEAS TRANSACTIONS o MATHEMATICS 4 Alcatos of Symmetrc Polyomals: The Projecto Oerator We defe the matrx equvalet of the rojecto oerator a maer aalogous to Lutwa. [8]. Defto 4. Projecto Oerator The rojecto oerator s defed through the followg lmt: C A B : lm t 0 E A + tb E A t where A, B M s,+ ad E A s the th symmetrc olyomal s λ,..., λ, λ are egevalues of A, ad c s the rojecto oerator,. Our goal s to obta a formula for C. We ca smlfy the calculato of the lmt by wrtg the E,, terms of the trace fucto aled to the arorate owers of matrces. Frst, recall that detλi A λ λ λ <j + <j< λ λ + λ λ j λ 2 <j<<l λ 4 ± λ λ j λ λ 3 λ λ j λ λ l λ λ + c λ + c 2 λ c where λ,, ad c,, are costats. Equatg the coeffcets of λ of the last two les of the equatos mmedately above, yelds c λ tr A. Fbeer [0] has show that the other c, 2, ca be determed smlarly to obta the followg recursve set of equatos c 2 2 [c tra + tra 2 ], c 3 3 [c 2 tra + c tra 2 + tra 3 ]. c [c tra + c 2 tra c tra + tra ] 4. Cosequetly, E A c, E 2 A c 2,..., E A c, where the E A,,..., are the th elemetary symmetrc olyomals s λ,..., λ, λ are egevalues of A, ad the c,, are gve 4.. Usg the formulas for the E A,, the lmt defto for C ad the Uqueess Theorem, we fd that C A + [A +c A 2 +c 2 A 3 + +c I] Wrtg c 0, ths formula ca be wrtte as C A A[ c A ] + E A A recursve formula for C ca the be wrtte as follows: C A I, C A E AI A C + A, where <. 5 Quermasstegrals of Mxed Projecto Bodes Defto 5. Ordary Quermasstegrals For A M s,+, 0, the the ordary Quermasstegral of A, deoted by W A, s the mxed determat DA, ; I,, wth coes of A ad coes of the detty matrx I. Defto 5.2 Mxed Quermasstegrals [8] The mxed Quermasstegrals W 0 A, B, W A, B,..., W A, B, of A ad B M s,+ are defed by W A, B lm ε 0 + W A + εb W A ε It s easy to see that sce W λa λ W A for all 0, W A, A W A. For A, B M s,+ we have [] DA + B 0 DA, ; B, 5.2 E-ISSN: Volume 5, 206

5 WSEAS TRANSACTIONS o MATHEMATICS We ca also exad W A + εb as follows: W A + εb DA + εb, ; I, ε Cosequetly; W A, B 0 DA, ; B, ; I, DA, ; I, + ε DA, ; B, ; I, W A + ε DA, ; B, ; I, W A + εb W A lm lm ε 0 + ε DA, ; B, ; I, ε DA, ; B, ; I, It clearly follows that for all A M s,+, W A, B W B, sce W A, B DB, I,..., I W }{{} B. We recogze the mxed Quermasstegral W 0 A, B as D A, B. Sce W A, B of defto 5.2 s a drectoal dervatve, we ca rewrte t as W A, B d dε W A + εb 5.3 ε0 W A Let A deote the gradet of the fuctoal W A wth resect to the matrx A []. The the drectoal dervatve Defto 5.2 ad 5.3 ca be wrtte as W A, B d dε W A + εb ε0 A W A B 5.4 The th symmetrc olyomal of egevalues λ,..., λ of A s E A W A ad from the defto of the Projecto Oerator we coclude that C A B W A, B A W A B 5.5 If we exted our defto of the Projecto Oerator ad mxed Quermasstegrals to all matrces M the 5.5 gves: C A W A A 5.6 ad from 4.2 we have the followg recursve formulae for W A A : W A A I, W A A + A W + AI + + W A A W + AI A W + A + W + AI A W + A A A where <. From Defto 5.2, wth B I, we have the followg relatosh betwee W A, 0 : W + A lm W A + εi W A [ ] W A [δîĵ ] Aîĵ Aδîĵ Aîĵ î,ĵ W A î Aîĵ 5.7 But accordg to Praayautaa [, 2, 3], W A E-ISSN: Volume 5, 206

6 WSEAS TRANSACTIONS o MATHEMATICS ca be see from the followg exaso: DA + εi 0 0 ε DA, ; I, ε W A 5.8 Dfferetg 5.8 tmes wth resect to ε ad settg ε 0, we obta d DA + εi! dε DA, ; I, ε0! 5.9 ad cosequetly DA, ; I,!! d DA + εi dε ε 5.0 For ostve defte symmetrc matrx A, there always exsts a orthogoal matrx P such that A P P P P T, where P s the matrx whose colums form a orthoormal egebass of A ad s the dagoal matrx whose dagoal etres are the corresodg egevalues of A. Equato 5.0 the yelds W A DA, ; I,! d! dε DP P + εp IP! d D + εi! dε D, ; I, W λ ε0 ε0 λ j λ j 5. where the sums are tae over all -tule of ostve tegers j,..., j whose etres do ot exceed, wth λ j,, from the set of all ostve egevalues of A. Equato 5. tells us that W s varat uder smlarty trasformato A P P. Therefore from ths varat relato ad 5.7 we have the followg mortat relato betwee W A, 0 : W + A W + W λ j j 5. As a llustrato, for A M 3, we have W 0 A DA λ λ 2 λ 3 W A λ λ 2 λ 3 3 λ j W 2 A 2 W 3 A j j 3 λ λ 2 + λ λ 3 + λ 2 λ 3 j λ j W A 3 λ + λ 2 + λ 3 λ j W 2 A 3 j j λ + λ 2 + λ 3 6 L -Sum ad Scalar Multlcato of Matrces Defto 6. L -Sum of Matrces For matrces A, B M s,+ ad we defe the L -sum of A ad B as: A + B A + B /. The commutatvty of + s obvous. For the assocatvty: A + B + C [A + B + C ] [A + B + C ] [A + B + C ] [A + B + C ] A + B + C. Defto 6.2 L Scalar Multlcato For, B M s,+ ad scalar λ, we defe the L scalar multlcato of λ ad B as λ B λ / B. Cosequetly for scalars α, β ad matrces A, B M s,+ : α A + β B αa + βb /. 7 Mxed -Quermasstegrals We defe the matrx equvalet of mxed - Quermasstegral a maer aalogous to Lutwa [9]. E-ISSN: Volume 5, 206

7 WSEAS TRANSACTIONS o MATHEMATICS Defto 7. Mxed -Quermasstegrals For A, B M s,+,, 0 <, the mxed -Quermasstegrals of A, B, deoted W, A, B, we defe by W W A + ε B W A,A, B lm. Clearly, f, A+ εb ad cosequetly the mxed -Quermasstegral W, A, B W A, B ths artcular case. It s easy to see that W, A, A W A for all : W,A, A W A + ε A W A lm W [A + ε] W A lm [ ] + ε + Oε2 W A W A lm ε 0 + ε W A ad we coclude that W, A, A W A for all. Theorem 7.2 a For all A, B M s,+ ad α, β > 0, W, αa, βb α β W, A, B, ad whe ad β, W, αa, B W, A, B. b For all Q, A, B M s,+, W, Q, A + B W, Q, A + W, Q, B. c For all A, B M s,+, γ > 0, W, A, γ B γw, A, B. Now let ε β ε α, W, αa, βb β α α α β α β W, A, B. W A + ε B W A lm ε 0 + ε W A + ε B W A lm ε 0 + ε Ths shows that the fuctoal W, : M s,+ M s,+ 0, s Mows homogeeous of degree ts frst argumet ad Mows homogeeous of degree ts secod argumet. Trvally, whe, β, α > 0, the W, αa, B W, A, B. For art b tae Q, A, B M s,+, W, Q, A + B W Q + ε A + B W Q lm W Q + ε A + ε B W Q + ε A lm + W Q + ε A W Q lm Wrte Q Q + ε A the frst lmt, W, Q, A + ε B W lm Q + ε B W Q W Q + ε A W Q + lm W, Q, A + W, Q, B. Part c s art a wth α ad γ β. Proof. For α, β > 0 ad A, B M s,+ we have Ths result shows that the mxed - Quermasstegral s lear, wth resect to L -sum ad scalar multlcato, ts secod argumet. W, αa, βb W αa + ε βb W αa Defto 7.3 Jotly Cocave Ma [7] Let P be lm the set of ostve semdefte matrces M. s A ma W αa + ε β α lm B W Ψ : P P P m s called jotly cocave f αa ΨλA + λb, λc + λd α W A + βε α B W lm A λψa, C + λψb, D.. for all A, B, C, D 0 ad 0 < λ <. E-ISSN: Volume 5, 206

8 WSEAS TRANSACTIONS o MATHEMATICS The followg lemma roved by Zha [7] s very useful the roof of Theorem 8.. Lemma 7.4 [7] For 0 < r < the ma A, B A r B r M s,+, W 0 A E A λ λ 2 λ, 0 W A E A λ λ, 0 s jotly cocave A, B 0. 8 Some Useful Iequaltes Theorem 8. [7] For A, B, C, D 0 ad, q > wth / + /q, A B + C D A + C B + q D, where A B : [a j b j ] M. Proof. Ths s just the md-ot jot cocavty case λ /2 of Lemma 7.4 wth r /. Theorem 8.2 For X, Y > 0 that s X, Y M s,+ ad ε [0, ] we have εx + εy εx + εy / : ε X + ε Y Proof. Ths s just Theorem 8. wth A ε / X, B ε /q, C ε / Y ad D ε P /q, where [], that s s the matrx that has all of ts etres equal to. The followg theorem roved by Hor [6] s useful the roof of Corollary 8.4. Theorem 8.3 [6] If A, B M are ostve defte symmetrc, the f A B, the deta detb ad tra trb; ad more geerally, f A B, the λ A λ B for all, 2,..., f the resectve egevalues of A ad B are arraged the same creasg or decreasg order. Corollary 8.4 For ay A, B > 0 M s,+, ε [0, ] W ε A + ε B W εa + εb, Proof. Alyg Theorem 8.3 to the equalty Theorem 8.2 ad usg the fact that for ay matrx A. W 3 A E 3 A λ λ 2 λ 3, 3 W 2 A E 2 A λ λ 2, 2 W A E A λ where E A, s the th symmetrc olyomal of egevalues λ,..., λ of A. Theorem 8.5 For ay A, B > 0 M s,+, ε [0, ] W εa + εb εw A + εb, a Equalty holds f ad oly f A cb wth a real umber c > 0. Proof. It suffces to rove that W A + B W A + W B, b wth equalty f ad oly f A cb, c > 0. The equalty s obtaed by alyg the Alesadrov equalty to the exaso of W A + B as follows: W A + B DA + B, ; I, DA, ; B, ; I, 0 D A, ; I, 0 D B, ; I, D / A, ; I, + D / B, ; I, W / A + W / B 8.5c E-ISSN: Volume 5, 206

9 WSEAS TRANSACTIONS o MATHEMATICS whch s 8.5b. For the equalty art, t ca be easly see that f A cb, c > 0 the W / A + B W / Therefore, we oly eed to rove that W / A + B W / A + W / B. A + W / B mles A cb, c > 0. Suose A cb the the Alesadrov equalty Theorem 2.4 s strct, ad alyg t the rocess of gettg 8.5c yelds W / A + B > W / A + W / B whch meas W / A + B W / A + B mles A cb, c > 0. W / Theorem 8.6 If >, α [0, ], A 0, B 0 > 0 wth W A 0 W B 0 the M s,+ W α A 0 + α B 0, Equalty holds f ad oly f A 0 B a Proof. Alyg 8.4 ad 8.5a wth α ε to A 0, B 0 we obta W α A 0 + α B 0 W αa 0 + αb 0, 0. To see the equalty art of we frst set A 0 B 0, W α A 0 + α B 0 W α A 0 + α A 0 W [αa 0 + αa 0 / ] W [A 0 / ] W A 0. Ths roves that A 0 B 0 mles W α A 0 + α B 0. Now we set W α A 0 + α B 0, from 8.6b, we see that ths mles W αa 0 + αb 0, whch tur, by Theorem 8.5 mles A 0 cb 0, but sce we have W A 0 W B 0 therefore c ad A 0 B 0. Ths roves that W α A 0 + α B 0 mles A 0 B 0. Ths comletes the roof. Theorem 8.7 Bru-Mows Iequalty for L -Sum of Matrces If A, B M s,+, 0,, the W A + B W A + W wth equalty f ad oly f A c, B, c > 0. Proof. We aly Theorem 8.6 wth to obta W or A 0 B 0 α W A W B A, B, W A W A + W B W α A 0 + α B 0 W A W A + W B A + W B W A + W B B. B W B W A + W A W A + W B B {[ W W A + W B A / ]/ } + W A + W B B / / A + B w A + W B W / W / [ A + B / W A + W B W A + W B / that s, W / [A + B / ] W A + B ] / W A + W B. E-ISSN: Volume 5, 206

10 WSEAS TRANSACTIONS o MATHEMATICS The suffcecy of the equalty art ca be see by drectly substtutg A c B, c > 0 ad the ecessty of the equalty art ca be roved by cotradcto as follows: Suose A c B the A 0 B 0 whch tur by Theorem 8.6, mles W α A 0 + α B 0 > or W A + B > W A + W B whch s a cotradcto. Ths comletes the roof. Theorem 8.8 Mows Iequalty for L -Sum of Matrces If A, B M s,+, 0,, the W, A, B W AW B wth equalty f ad oly f A c B, c > 0. Proof. Theorem 8.7 mles W / ε A + ε B W / ε A + W / ε B W / ε / A + W / ε / B ε / W A / + ε / W B / εw / ad sce A + εw / B, W ε A + ε B W A lm ε 0 ε W λ A + λ B W A lm λ λ λ W A λ + λ lm B W A λ λ + ε lm ε 0 where ɛ λ λ W A + ɛ B W A + ε, ɛ gɛfɛ g0f0 lm + ɛ, ɛ 0 ɛ where fɛ W A + ɛ B ad gɛ + ɛ gf 0 g0f 0 + g 0f0 W,A, B + W A. The W, A, B W A + W ε A + ε B W A ε W A + lm ε 0 lm ε 0 [ εw A + εw ε W A + [ ] [W A W A W B B] W B W A]. W A Ths gves the equalty art of Theorem 8.8. The suffcecy of the equalty art ca be see by drectly substtutg A c B, c > 0 usg the fact that W, B, B W B. The ecessty of the equalty art ca be show as follows: W, A, B W AW B for A, B M s,+, 0, >, ad the W, Q, A + B W, Q, A + W, Q, B W, Q, A + B W +W B]. Q[W A We ow set A + B equal to Q ad use the fact that W, Q, Q W Q to obta W A+ B W or W A + B W A+B[W A + W A+W B whch s the equalty art of Theorem 8.7 ad that s f ad oly f A c B, c > 0. Ths roves that A, B W AW B mles A W, cḃ, c > 0. Ths comletes the roof. Furthermore, we ca also show that the equaltes of Theorems 8.7 ad 8.8 are equvalet. Sce we have already show that Theorem 8.7 mles Theorem 8.8, B], E-ISSN: Volume 5, 206

11 t suffces to show that Theorem 8.8 mles Theorem 8.7. Sce W, A, B W AW for A, B M s, 0, >, ad the B, W, Q, A + B W, Q, A + W, Q, B W, Q, A + B W +W Q[W B]. A We ow set A + B equal to Q ad use the fact that W, Q, Q W Q to obta or WSEAS TRANSACTIONS o MATHEMATICS W W A + B W A + B [ W A + W A + B W ] B, A + W whch s the equalty of Theorem 8.7 B The lmtg cases of Theorems 8.7 ad 8.8 for the case where hold due to the Alesadrov equalty Theorem 2.4. The well ow Fudametal Iequalty of Mxed Quermasstegrals see [7] stated below s the lmtg case of Theorem 8.8. Theorem 8.9 Fudametal Iequalty of Mxed Quermasstegrals For A, B M s,+ ad 0 <, W A, B W AW B wth equalty f ad oly f A c B, c > 0. Theorem 8.0 Suose 0 < ad A, B M s,+ are such that W A W B. The a If W A W, A, B, for some >, the A B. b If W A W, B, A, for some such that > > the A B. c If W B W, A, B, for some >, the A B. Proof. a Sce W A W, A, B t follows from Theorem 8.8 that W A W, A, B W AW B wth equalty the rght equalty f ad oly f A cḃ, c 0. Ths strg of equaltes mles that or smly W A W B W A W B. But the hyothess W A W B shows that there s fact equalty both equaltes ad that We coclude that A B. W A W B. b Sce W A W, B, A for some, > >, t follows from Theorem 8.8 that W A W, B, A W BW A wth equalty f ad oly f A cḃ, c 0. Ths last equalty mles that or smly W A W B W A W B. The codto W A W B mles that ad hece A B. W A W B c Ths follows detcally from the roof of arts a ad b. Theorem 8. Suose A, B M s,+. If 0 <, ad > ad f W, A, Q W, B, Q for all Q M s,+, the A B. Proof. Set Q A, ad get W A W, A, A W, B, A. Set Q B, ad get W B W, B, B W, A, B. From arts b ad c of the last theorem we obta A B. Theorem 8.2 Suose A, B M s,+ ad 0 <. If ad W A W, B, A, the A c B, c > 0. E-ISSN: Volume 5, 206

12 WSEAS TRANSACTIONS o MATHEMATICS Proof. From the hyothess ad Theorem 8.8 we have W A W, B, A W BW A wth equalty the rght equalty mlyg that A cb, c > 0. Sce, we wll have W A W, B, A W A so W, B, A W A. Hece, A c B, c > 0. Theorem 8.3 Suose A, B M s,+. If 0 <, ad W, A, Q W, B, Q for all Q M s,+. The W, A, Q W, B, Q for all Q M s,+. Proof. From Theorem 8.8 ad the hyothess ths theorem we wll have W, B, Q W Q W, A, Q, 0 <,, for all Q M s,+. Sce W, A, Q W, B, Q for all Q M s,+, combg these equaltes yeld W, A, Q W, B, Q for all Q M s,+. 9 Acowledgmet The author wshes to tha Professor Poramate Praayautaa for hs may excellet suggestos for mrovg the orgal mauscrt. Refereces: [] Poramate Praayautaa, Elltc Bru- Mows Theory, Ph.D. thess, Polytechc Uversty, BrooLy, NY, Jue 2003 [2] Poramate Praayautaa, A roof of S a,..., a S λ,..., λ, 0 for a Postve Defte Symmetrc Matrx A [a j ], usg Mxed Determats, WSEAS TRANSACTIONS ON MATHEMATICS, Issue, Vol. 6, , Jauary [3] Joh Gordo, Poramate Praayautaa, New Matrx Iequaltes for Frey s Exteso of Mows ad Bru-Mows Iequaltes, WSEAS TRANSACTIONS ON MATHEMATICS, Issue 7, Vol. 5, , July [4] A.D. Alesadrov, Zur Theore der gemschte Voluma vo ovexe Körer, IV. De gemschte Dscrmate ud de gemschte Voluma I Russa. Mat. Sbor N.S , [5] Rolf Scheder, Covex Bodes: The Bru- Mows Theory, Cambrdge Uversty Press, New Yor, 993. [6] Roger A. Hor ad Charles R. Johso, Matrx Aalyss, Cambrdge Uversty Press, New Yor, 985. [7] Xg Zh Zha, Matrx Iequaltes Lecture Notes Mathematcs 790, Srger, NY, 200. [8] Erw Lutwa, O Quermasstegrals of Mxed Projecto Bodes, Geometrae Dedcata 33: 5 58, 990. [9] Erw Lutwa, The Bru-Mows- Frey Theory I: Mxed Volumes ad the Mows roblem, Joural of Dfferetal Geometry 38: 3 50, 993. [0] D.T. Fbeer II, Itroducto to Matrces ad Lear Trasformatos, 2d edto, W.H. Freema ad Comay Sa Frascsco ad Lodo, 960. E-ISSN: Volume 5, 206

Factorization of Finite Abelian Groups

Factorization of Finite Abelian Groups Iteratoal Joural of Algebra, Vol 6, 0, o 3, 0-07 Factorzato of Fte Abela Grous Khald Am Uversty of Bahra Deartmet of Mathematcs PO Box 3038 Sakhr, Bahra kamee@uobedubh Abstract If G s a fte abela grou

More information

Several Theorems for the Trace of Self-conjugate Quaternion Matrix

Several Theorems for the Trace of Self-conjugate Quaternion Matrix Moder Aled Scece Setember, 008 Several Theorems for the Trace of Self-cojugate Quatero Matrx Qglog Hu Deartmet of Egeerg Techology Xchag College Xchag, Schua, 6503, Cha E-mal: shjecho@6com Lm Zou(Corresodg

More information

å 1 13 Practice Final Examination Solutions - = CS109 Dec 5, 2018

å 1 13 Practice Final Examination Solutions - = CS109 Dec 5, 2018 Chrs Pech Fal Practce CS09 Dec 5, 08 Practce Fal Examato Solutos. Aswer: 4/5 8/7. There are multle ways to obta ths aswer; here are two: The frst commo method s to sum over all ossbltes for the rak of

More information

2. Independence and Bernoulli Trials

2. Independence and Bernoulli Trials . Ideedece ad Beroull Trals Ideedece: Evets ad B are deedet f B B. - It s easy to show that, B deedet mles, B;, B are all deedet ars. For examle, ad so that B or B B B B B φ,.e., ad B are deedet evets.,

More information

Non-uniform Turán-type problems

Non-uniform Turán-type problems Joural of Combatoral Theory, Seres A 111 2005 106 110 wwwelsevercomlocatecta No-uform Turá-type problems DhruvMubay 1, Y Zhao 2 Departmet of Mathematcs, Statstcs, ad Computer Scece, Uversty of Illos at

More information

On the characteristics of partial differential equations

On the characteristics of partial differential equations Sur les caractérstques des équatos au dérvées artelles Bull Soc Math Frace 5 (897) 8- O the characterstcs of artal dfferetal equatos By JULES BEUDON Traslated by D H Delhech I a ote that was reseted to

More information

PROJECTION PROBLEM FOR REGULAR POLYGONS

PROJECTION PROBLEM FOR REGULAR POLYGONS Joural of Mathematcal Sceces: Advaces ad Applcatos Volume, Number, 008, Pages 95-50 PROJECTION PROBLEM FOR REGULAR POLYGONS College of Scece Bejg Forestry Uversty Bejg 0008 P. R. Cha e-mal: sl@bjfu.edu.c

More information

Random Variables. ECE 313 Probability with Engineering Applications Lecture 8 Professor Ravi K. Iyer University of Illinois

Random Variables. ECE 313 Probability with Engineering Applications Lecture 8 Professor Ravi K. Iyer University of Illinois Radom Varables ECE 313 Probablty wth Egeerg Alcatos Lecture 8 Professor Rav K. Iyer Uversty of Illos Iyer - Lecture 8 ECE 313 Fall 013 Today s Tocs Revew o Radom Varables Cumulatve Dstrbuto Fucto (CDF

More information

L Inequalities for Polynomials

L Inequalities for Polynomials Aled Mathematcs 3-38 do:436/am338 Publshed Ole March (htt://wwwscrorg/oural/am) L Iequaltes for Polyomals Abstract Abdul A Nsar A Rather Deartmet of Mathematcs Kashmr Uversty Sragar Ida E-mal: drarather@gmalcom

More information

MATH 247/Winter Notes on the adjoint and on normal operators.

MATH 247/Winter Notes on the adjoint and on normal operators. MATH 47/Wter 00 Notes o the adjot ad o ormal operators I these otes, V s a fte dmesoal er product space over, wth gve er * product uv, T, S, T, are lear operators o V U, W are subspaces of V Whe we say

More information

for each of its columns. A quick calculation will verify that: thus m < dim(v). Then a basis of V with respect to which T has the form: A

for each of its columns. A quick calculation will verify that: thus m < dim(v). Then a basis of V with respect to which T has the form: A Desty of dagoalzable square atrces Studet: Dael Cervoe; Metor: Saravaa Thyagaraa Uversty of Chcago VIGRE REU, Suer 7. For ths etre aer, we wll refer to V as a vector sace over ad L(V) as the set of lear

More information

The Arithmetic-Geometric mean inequality in an external formula. Yuki Seo. October 23, 2012

The Arithmetic-Geometric mean inequality in an external formula. Yuki Seo. October 23, 2012 Sc. Math. Japocae Vol. 00, No. 0 0000, 000 000 1 The Arthmetc-Geometrc mea equalty a exteral formula Yuk Seo October 23, 2012 Abstract. The classcal Jese equalty ad ts reverse are dscussed by meas of terally

More information

Unit 9. The Tangent Bundle

Unit 9. The Tangent Bundle Ut 9. The Taget Budle ========================================================================================== ---------- The taget sace of a submafold of R, detfcato of taget vectors wth dervatos at

More information

Complete Convergence and Some Maximal Inequalities for Weighted Sums of Random Variables

Complete Convergence and Some Maximal Inequalities for Weighted Sums of Random Variables Joural of Sceces, Islamc Republc of Ira 8(4): -6 (007) Uversty of Tehra, ISSN 06-04 http://sceces.ut.ac.r Complete Covergece ad Some Maxmal Iequaltes for Weghted Sums of Radom Varables M. Am,,* H.R. Nl

More information

Semi-Riemann Metric on. the Tangent Bundle and its Index

Semi-Riemann Metric on. the Tangent Bundle and its Index t J Cotem Math Sceces ol 5 o 3 33-44 Sem-Rema Metrc o the Taet Budle ad ts dex smet Ayha Pamuale Uversty Educato Faculty Dezl Turey ayha@auedutr Erol asar Mers Uversty Art ad Scece Faculty 33343 Mers Turey

More information

= lim. (x 1 x 2... x n ) 1 n. = log. x i. = M, n

= lim. (x 1 x 2... x n ) 1 n. = log. x i. = M, n .. Soluto of Problem. M s obvously cotuous o ], [ ad ], [. Observe that M x,..., x ) M x,..., x ) )..) We ext show that M s odecreasg o ], [. Of course.) mles that M s odecreasg o ], [ as well. To show

More information

Mu Sequences/Series Solutions National Convention 2014

Mu Sequences/Series Solutions National Convention 2014 Mu Sequeces/Seres Solutos Natoal Coveto 04 C 6 E A 6C A 6 B B 7 A D 7 D C 7 A B 8 A B 8 A C 8 E 4 B 9 B 4 E 9 B 4 C 9 E C 0 A A 0 D B 0 C C Usg basc propertes of arthmetc sequeces, we fd a ad bm m We eed

More information

Minkowski s inequality and sums of squares

Minkowski s inequality and sums of squares Cet Eur J Math 13 014 510-516 DOI: 10478/s11533-013-0346-1 Cetral Euroea Joural of Mathematcs Mows s equalty ad sums of squares Research Artcle Péter E Freel 1, Péter Horváth 1 1 Deartmet of Algebra ad

More information

LINEAR RECURRENT SEQUENCES AND POWERS OF A SQUARE MATRIX

LINEAR RECURRENT SEQUENCES AND POWERS OF A SQUARE MATRIX INTEGERS: ELECTRONIC JOURNAL OF COMBINATORIAL NUMBER THEORY 6 2006, #A12 LINEAR RECURRENT SEQUENCES AND POWERS OF A SQUARE MATRIX Hacèe Belbachr 1 USTHB, Departmet of Mathematcs, POBox 32 El Ala, 16111,

More information

Q-analogue of a Linear Transformation Preserving Log-concavity

Q-analogue of a Linear Transformation Preserving Log-concavity Iteratoal Joural of Algebra, Vol. 1, 2007, o. 2, 87-94 Q-aalogue of a Lear Trasformato Preservg Log-cocavty Daozhog Luo Departmet of Mathematcs, Huaqao Uversty Quazhou, Fua 362021, P. R. Cha ldzblue@163.com

More information

IMPROVED GA-CONVEXITY INEQUALITIES

IMPROVED GA-CONVEXITY INEQUALITIES IMPROVED GA-CONVEXITY INEQUALITIES RAZVAN A. SATNOIANU Corresodece address: Deartmet of Mathematcs, Cty Uversty, LONDON ECV HB, UK; e-mal: r.a.satoau@cty.ac.uk; web: www.staff.cty.ac.uk/~razva/ Abstract

More information

ON THE ELEMENTARY SYMMETRIC FUNCTIONS OF A SUM OF MATRICES

ON THE ELEMENTARY SYMMETRIC FUNCTIONS OF A SUM OF MATRICES Joural of lgebra, umber Theory: dvaces ad pplcatos Volume, umber, 9, Pages 99- O THE ELEMETRY YMMETRIC FUCTIO OF UM OF MTRICE R.. COT-TO Departmet of Mathematcs Uversty of Calfora ata Barbara, C 96 U...

More information

COMPUTERISED ALGEBRA USED TO CALCULATE X n COST AND SOME COSTS FROM CONVERSIONS OF P-BASE SYSTEM WITH REFERENCES OF P-ADIC NUMBERS FROM

COMPUTERISED ALGEBRA USED TO CALCULATE X n COST AND SOME COSTS FROM CONVERSIONS OF P-BASE SYSTEM WITH REFERENCES OF P-ADIC NUMBERS FROM U.P.B. Sc. Bull., Seres A, Vol. 68, No. 3, 6 COMPUTERISED ALGEBRA USED TO CALCULATE X COST AND SOME COSTS FROM CONVERSIONS OF P-BASE SYSTEM WITH REFERENCES OF P-ADIC NUMBERS FROM Z AND Q C.A. MURESAN Autorul

More information

Chapter 9 Jordan Block Matrices

Chapter 9 Jordan Block Matrices Chapter 9 Jorda Block atrces I ths chapter we wll solve the followg problem. Gve a lear operator T fd a bass R of F such that the matrx R (T) s as smple as possble. f course smple s a matter of taste.

More information

The Mathematical Appendix

The Mathematical Appendix The Mathematcal Appedx Defto A: If ( Λ, Ω, where ( λ λ λ whch the probablty dstrbutos,,..., Defto A. uppose that ( Λ,,..., s a expermet type, the σ-algebra o λ λ λ are defed s deoted by ( (,,...,, σ Ω.

More information

D KL (P Q) := p i ln p i q i

D KL (P Q) := p i ln p i q i Cheroff-Bouds 1 The Geeral Boud Let P 1,, m ) ad Q q 1,, q m ) be two dstrbutos o m elemets, e,, q 0, for 1,, m, ad m 1 m 1 q 1 The Kullback-Lebler dvergece or relatve etroy of P ad Q s defed as m D KL

More information

Application of Generating Functions to the Theory of Success Runs

Application of Generating Functions to the Theory of Success Runs Aled Mathematcal Sceces, Vol. 10, 2016, o. 50, 2491-2495 HIKARI Ltd, www.m-hkar.com htt://dx.do.org/10.12988/ams.2016.66197 Alcato of Geeratg Fuctos to the Theory of Success Rus B.M. Bekker, O.A. Ivaov

More information

Chapter 5 Properties of a Random Sample

Chapter 5 Properties of a Random Sample Lecture 6 o BST 63: Statstcal Theory I Ku Zhag, /0/008 Revew for the prevous lecture Cocepts: t-dstrbuto, F-dstrbuto Theorems: Dstrbutos of sample mea ad sample varace, relatoshp betwee sample mea ad sample

More information

Assignment 5/MATH 247/Winter Due: Friday, February 19 in class (!) (answers will be posted right after class)

Assignment 5/MATH 247/Winter Due: Friday, February 19 in class (!) (answers will be posted right after class) Assgmet 5/MATH 7/Wter 00 Due: Frday, February 9 class (!) (aswers wll be posted rght after class) As usual, there are peces of text, before the questos [], [], themselves. Recall: For the quadratc form

More information

Channel Models with Memory. Channel Models with Memory. Channel Models with Memory. Channel Models with Memory

Channel Models with Memory. Channel Models with Memory. Channel Models with Memory. Channel Models with Memory Chael Models wth Memory Chael Models wth Memory Hayder radha Electrcal ad Comuter Egeerg Mchga State Uversty I may ractcal etworkg scearos (cludg the Iteret ad wreless etworks), the uderlyg chaels are

More information

Maps on Triangular Matrix Algebras

Maps on Triangular Matrix Algebras Maps o ragular Matrx lgebras HMED RMZI SOUROUR Departmet of Mathematcs ad Statstcs Uversty of Vctora Vctora, BC V8W 3P4 CND sourour@mathuvcca bstract We surveys results about somorphsms, Jorda somorphsms,

More information

Research Article Multidimensional Hilbert-Type Inequalities with a Homogeneous Kernel

Research Article Multidimensional Hilbert-Type Inequalities with a Homogeneous Kernel Hdaw Publshg Corporato Joural of Iequaltes ad Applcatos Volume 29, Artcle ID 3958, 2 pages do:.55/29/3958 Research Artcle Multdmesoal Hlbert-Type Iequaltes wth a Homogeeous Kerel Predrag Vuovć Faculty

More information

α1 α2 Simplex and Rectangle Elements Multi-index Notation of polynomials of degree Definition: The set P k will be the set of all functions:

α1 α2 Simplex and Rectangle Elements Multi-index Notation of polynomials of degree Definition: The set P k will be the set of all functions: Smplex ad Rectagle Elemets Mult-dex Notato = (,..., ), o-egatve tegers = = β = ( β,..., β ) the + β = ( + β,..., + β ) + x = x x x x = x x β β + D = D = D D x x x β β Defto: The set P of polyomals of degree

More information

MATH 371 Homework assignment 1 August 29, 2013

MATH 371 Homework assignment 1 August 29, 2013 MATH 371 Homework assgmet 1 August 29, 2013 1. Prove that f a subset S Z has a smallest elemet the t s uque ( other words, f x s a smallest elemet of S ad y s also a smallest elemet of S the x y). We kow

More information

Beam Warming Second-Order Upwind Method

Beam Warming Second-Order Upwind Method Beam Warmg Secod-Order Upwd Method Petr Valeta Jauary 6, 015 Ths documet s a part of the assessmet work for the subject 1DRP Dfferetal Equatos o Computer lectured o FNSPE CTU Prague. Abstract Ths documet

More information

4 Inner Product Spaces

4 Inner Product Spaces 11.MH1 LINEAR ALGEBRA Summary Notes 4 Ier Product Spaces Ier product s the abstracto to geeral vector spaces of the famlar dea of the scalar product of two vectors or 3. I what follows, keep these key

More information

CHAPTER 6. d. With success = observation greater than 10, x = # of successes = 4, and

CHAPTER 6. d. With success = observation greater than 10, x = # of successes = 4, and CHAPTR 6 Secto 6.. a. We use the samle mea, to estmate the oulato mea µ. Σ 9.80 µ 8.407 7 ~ 7. b. We use the samle meda, 7 (the mddle observato whe arraged ascedg order. c. We use the samle stadard devato,

More information

Training Sample Model: Given n observations, [[( Yi, x i the sample model can be expressed as (1) where, zero and variance σ

Training Sample Model: Given n observations, [[( Yi, x i the sample model can be expressed as (1) where, zero and variance σ Stat 74 Estmato for Geeral Lear Model Prof. Goel Broad Outle Geeral Lear Model (GLM): Trag Samle Model: Gve observatos, [[( Y, x ), x = ( x,, xr )], =,,, the samle model ca be exressed as Y = µ ( x, x,,

More information

On the introductory notes on Artin s Conjecture

On the introductory notes on Artin s Conjecture O the troductory otes o Art s Cojecture The urose of ths ote s to make the surveys [5 ad [6 more accessble to bachelor studets. We rovde some further relmares ad some exercses. We also reset the calculatos

More information

BERNSTEIN COLLOCATION METHOD FOR SOLVING NONLINEAR DIFFERENTIAL EQUATIONS. Aysegul Akyuz Dascioglu and Nese Isler

BERNSTEIN COLLOCATION METHOD FOR SOLVING NONLINEAR DIFFERENTIAL EQUATIONS. Aysegul Akyuz Dascioglu and Nese Isler Mathematcal ad Computatoal Applcatos, Vol. 8, No. 3, pp. 293-300, 203 BERNSTEIN COLLOCATION METHOD FOR SOLVING NONLINEAR DIFFERENTIAL EQUATIONS Aysegul Ayuz Dascoglu ad Nese Isler Departmet of Mathematcs,

More information

Introducing Sieve of Eratosthenes as a Theorem

Introducing Sieve of Eratosthenes as a Theorem ISSN(Ole 9-8 ISSN (Prt - Iteratoal Joural of Iovatve Research Scece Egeerg ad echolog (A Hgh Imact Factor & UGC Aroved Joural Webste wwwrsetcom Vol Issue 9 Setember Itroducg Seve of Eratosthees as a heorem

More information

Lecture 3 Probability review (cont d)

Lecture 3 Probability review (cont d) STATS 00: Itroducto to Statstcal Iferece Autum 06 Lecture 3 Probablty revew (cot d) 3. Jot dstrbutos If radom varables X,..., X k are depedet, the ther dstrbuto may be specfed by specfyg the dvdual dstrbuto

More information

CHAPTER 4 RADICAL EXPRESSIONS

CHAPTER 4 RADICAL EXPRESSIONS 6 CHAPTER RADICAL EXPRESSIONS. The th Root of a Real Number A real umber a s called the th root of a real umber b f Thus, for example: s a square root of sce. s also a square root of sce ( ). s a cube

More information

X ε ) = 0, or equivalently, lim

X ε ) = 0, or equivalently, lim Revew for the prevous lecture Cocepts: order statstcs Theorems: Dstrbutos of order statstcs Examples: How to get the dstrbuto of order statstcs Chapter 5 Propertes of a Radom Sample Secto 55 Covergece

More information

A tighter lower bound on the circuit size of the hardest Boolean functions

A tighter lower bound on the circuit size of the hardest Boolean functions Electroc Colloquum o Computatoal Complexty, Report No. 86 2011) A tghter lower boud o the crcut sze of the hardest Boolea fuctos Masak Yamamoto Abstract I [IPL2005], Fradse ad Mlterse mproved bouds o the

More information

Arithmetic Mean and Geometric Mean

Arithmetic Mean and Geometric Mean Acta Mathematca Ntresa Vol, No, p 43 48 ISSN 453-6083 Arthmetc Mea ad Geometrc Mea Mare Varga a * Peter Mchalča b a Departmet of Mathematcs, Faculty of Natural Sceces, Costate the Phlosopher Uversty Ntra,

More information

Chain Rules for Entropy

Chain Rules for Entropy Cha Rules for Etroy The etroy of a collecto of radom varables s the sum of codtoal etroes. Theorem: Let be radom varables havg the mass robablty x x.x. The...... The roof s obtaed by reeatg the alcato

More information

UNIVERSITY OF OSLO DEPARTMENT OF ECONOMICS

UNIVERSITY OF OSLO DEPARTMENT OF ECONOMICS UNIVERSITY OF OSLO DEPARTMENT OF ECONOMICS Postpoed exam: ECON430 Statstcs Date of exam: Jauary 0, 0 Tme for exam: 09:00 a.m. :00 oo The problem set covers 5 pages Resources allowed: All wrtte ad prted

More information

18.413: Error Correcting Codes Lab March 2, Lecture 8

18.413: Error Correcting Codes Lab March 2, Lecture 8 18.413: Error Correctg Codes Lab March 2, 2004 Lecturer: Dael A. Spelma Lecture 8 8.1 Vector Spaces A set C {0, 1} s a vector space f for x all C ad y C, x + y C, where we take addto to be compoet wse

More information

AN UPPER BOUND FOR THE PERMANENT VERSUS DETERMINANT PROBLEM BRUNO GRENET

AN UPPER BOUND FOR THE PERMANENT VERSUS DETERMINANT PROBLEM BRUNO GRENET AN UPPER BOUND FOR THE PERMANENT VERSUS DETERMINANT PROBLEM BRUNO GRENET Abstract. The Permaet versus Determat problem s the followg: Gve a matrx X of determates over a feld of characterstc dfferet from

More information

Generalized Convex Functions on Fractal Sets and Two Related Inequalities

Generalized Convex Functions on Fractal Sets and Two Related Inequalities Geeralzed Covex Fuctos o Fractal Sets ad Two Related Iequaltes Huxa Mo, X Su ad Dogya Yu 3,,3School of Scece, Bejg Uversty of Posts ad Telecommucatos, Bejg,00876, Cha, Correspodece should be addressed

More information

Strong Convergence of Weighted Averaged Approximants of Asymptotically Nonexpansive Mappings in Banach Spaces without Uniform Convexity

Strong Convergence of Weighted Averaged Approximants of Asymptotically Nonexpansive Mappings in Banach Spaces without Uniform Convexity BULLETIN of the MALAYSIAN MATHEMATICAL SCIENCES SOCIETY Bull. Malays. Math. Sc. Soc. () 7 (004), 5 35 Strog Covergece of Weghted Averaged Appromats of Asymptotcally Noepasve Mappgs Baach Spaces wthout

More information

5 Short Proofs of Simplified Stirling s Approximation

5 Short Proofs of Simplified Stirling s Approximation 5 Short Proofs of Smplfed Strlg s Approxmato Ofr Gorodetsky, drtymaths.wordpress.com Jue, 20 0 Itroducto Strlg s approxmato s the followg (somewhat surprsg) approxmato of the factoral,, usg elemetary fuctos:

More information

Functions of Random Variables

Functions of Random Variables Fuctos of Radom Varables Chapter Fve Fuctos of Radom Varables 5. Itroducto A geeral egeerg aalyss model s show Fg. 5.. The model output (respose) cotas the performaces of a system or product, such as weght,

More information

STRONG CONSISTENCY FOR SIMPLE LINEAR EV MODEL WITH v/ -MIXING

STRONG CONSISTENCY FOR SIMPLE LINEAR EV MODEL WITH v/ -MIXING Joural of tatstcs: Advaces Theory ad Alcatos Volume 5, Number, 6, Pages 3- Avalable at htt://scetfcadvaces.co. DOI: htt://d.do.org/.864/jsata_7678 TRONG CONITENCY FOR IMPLE LINEAR EV MODEL WITH v/ -MIXING

More information

THE PUBLISHING HOUSE PROCEEDINGS OF THE ROMANIAN ACADEMY, Series A, OF THE ROMANIAN ACADEMY Volume 9, Number 3/2008, pp

THE PUBLISHING HOUSE PROCEEDINGS OF THE ROMANIAN ACADEMY, Series A, OF THE ROMANIAN ACADEMY Volume 9, Number 3/2008, pp THE PUBLISHIN HOUSE PROCEEDINS OF THE ROMANIAN ACADEMY, Seres A, OF THE ROMANIAN ACADEMY Volume 9, Number 3/8, THE UNITS IN Stela Corelu ANDRONESCU Uversty of Pteşt, Deartmet of Mathematcs, Târgu Vale

More information

Chapter 2 - Free Vibration of Multi-Degree-of-Freedom Systems - II

Chapter 2 - Free Vibration of Multi-Degree-of-Freedom Systems - II CEE49b Chapter - Free Vbrato of Mult-Degree-of-Freedom Systems - II We ca obta a approxmate soluto to the fudametal atural frequecy through a approxmate formula developed usg eergy prcples by Lord Raylegh

More information

arxiv:math/ v1 [math.gm] 8 Dec 2005

arxiv:math/ v1 [math.gm] 8 Dec 2005 arxv:math/05272v [math.gm] 8 Dec 2005 A GENERALIZATION OF AN INEQUALITY FROM IMO 2005 NIKOLAI NIKOLOV The preset paper was spred by the thrd problem from the IMO 2005. A specal award was gve to Yure Boreko

More information

Part 4b Asymptotic Results for MRR2 using PRESS. Recall that the PRESS statistic is a special type of cross validation procedure (see Allen (1971))

Part 4b Asymptotic Results for MRR2 using PRESS. Recall that the PRESS statistic is a special type of cross validation procedure (see Allen (1971)) art 4b Asymptotc Results for MRR usg RESS Recall that the RESS statstc s a specal type of cross valdato procedure (see Alle (97)) partcular to the regresso problem ad volves fdg Y $,, the estmate at the

More information

Unique Common Fixed Point of Sequences of Mappings in G-Metric Space M. Akram *, Nosheen

Unique Common Fixed Point of Sequences of Mappings in G-Metric Space M. Akram *, Nosheen Vol No : Joural of Facult of Egeerg & echolog JFE Pages 9- Uque Coo Fed Pot of Sequeces of Mags -Metrc Sace M. Ara * Noshee * Deartet of Matheatcs C Uverst Lahore Pasta. Eal: ara7@ahoo.co Deartet of Matheatcs

More information

Entropy ISSN by MDPI

Entropy ISSN by MDPI Etropy 2003, 5, 233-238 Etropy ISSN 1099-4300 2003 by MDPI www.mdp.org/etropy O the Measure Etropy of Addtve Cellular Automata Hasa Aı Arts ad Sceces Faculty, Departmet of Mathematcs, Harra Uversty; 63100,

More information

A conic cutting surface method for linear-quadraticsemidefinite

A conic cutting surface method for linear-quadraticsemidefinite A coc cuttg surface method for lear-quadratcsemdefte programmg Mohammad R. Osoorouch Calfora State Uversty Sa Marcos Sa Marcos, CA Jot wor wth Joh E. Mtchell RPI July 3, 2008 Outle: Secod-order coe: defto

More information

ANALYSIS ON THE NATURE OF THE BASIC EQUATIONS IN SYNERGETIC INTER-REPRESENTATION NETWORK

ANALYSIS ON THE NATURE OF THE BASIC EQUATIONS IN SYNERGETIC INTER-REPRESENTATION NETWORK Far East Joural of Appled Mathematcs Volume, Number, 2008, Pages Ths paper s avalable ole at http://www.pphm.com 2008 Pushpa Publshg House ANALYSIS ON THE NATURE OF THE ASI EQUATIONS IN SYNERGETI INTER-REPRESENTATION

More information

means the first term, a2 means the term, etc. Infinite Sequences: follow the same pattern forever.

means the first term, a2 means the term, etc. Infinite Sequences: follow the same pattern forever. 9.4 Sequeces ad Seres Pre Calculus 9.4 SEQUENCES AND SERIES Learg Targets:. Wrte the terms of a explctly defed sequece.. Wrte the terms of a recursvely defed sequece. 3. Determe whether a sequece s arthmetc,

More information

Dr. Shalabh. Indian Institute of Technology Kanpur

Dr. Shalabh. Indian Institute of Technology Kanpur Aalyss of Varace ad Desg of Expermets-I MODULE -I LECTURE - SOME RESULTS ON LINEAR ALGEBRA, MATRIX THEORY AND DISTRIBUTIONS Dr. Shalabh Departmet t of Mathematcs t ad Statstcs t t Ida Isttute of Techology

More information

ON BIVARIATE GEOMETRIC DISTRIBUTION. K. Jayakumar, D.A. Mundassery 1. INTRODUCTION

ON BIVARIATE GEOMETRIC DISTRIBUTION. K. Jayakumar, D.A. Mundassery 1. INTRODUCTION STATISTICA, ao LXVII, 4, 007 O BIVARIATE GEOMETRIC DISTRIBUTIO ITRODUCTIO Probablty dstrbutos of radom sums of deedetly ad detcally dstrbuted radom varables are maly aled modelg ractcal roblems that deal

More information

A Family of Non-Self Maps Satisfying i -Contractive Condition and Having Unique Common Fixed Point in Metrically Convex Spaces *

A Family of Non-Self Maps Satisfying i -Contractive Condition and Having Unique Common Fixed Point in Metrically Convex Spaces * Advaces Pure Matheatcs 0 80-84 htt://dxdoorg/0436/a04036 Publshed Ole July 0 (htt://wwwscrporg/oural/a) A Faly of No-Self Mas Satsfyg -Cotractve Codto ad Havg Uque Coo Fxed Pot Metrcally Covex Saces *

More information

X TM and to each vector. X p and Y. Furthermore, if. X p.) X f Y, defined by the identity

X TM and to each vector. X p and Y. Furthermore, if. X p.) X f Y, defined by the identity PART I A RAPID COURSE IN RIEMANNIAN GEOMETRY 8 Covarat Dfferetato The obect of Part II wll be to gve a rad outle of some basc cocets of Remaa geometry whch wll be eeded later For more formato the reader

More information

Derivation of 3-Point Block Method Formula for Solving First Order Stiff Ordinary Differential Equations

Derivation of 3-Point Block Method Formula for Solving First Order Stiff Ordinary Differential Equations Dervato of -Pot Block Method Formula for Solvg Frst Order Stff Ordary Dfferetal Equatos Kharul Hamd Kharul Auar, Kharl Iskadar Othma, Zara Bb Ibrahm Abstract Dervato of pot block method formula wth costat

More information

2SLS Estimates ECON In this case, begin with the assumption that E[ i

2SLS Estimates ECON In this case, begin with the assumption that E[ i SLS Estmates ECON 3033 Bll Evas Fall 05 Two-Stage Least Squares (SLS Cosder a stadard lear bvarate regresso model y 0 x. I ths case, beg wth the assumto that E[ x] 0 whch meas that OLS estmates of wll

More information

h-analogue of Fibonacci Numbers

h-analogue of Fibonacci Numbers h-aalogue of Fboacc Numbers arxv:090.0038v [math-ph 30 Sep 009 H.B. Beaoum Prce Mohammad Uversty, Al-Khobar 395, Saud Araba Abstract I ths paper, we troduce the h-aalogue of Fboacc umbers for o-commutatve

More information

INEQUALITIES USING CONVEX COMBINATION CENTERS AND SET BARYCENTERS

INEQUALITIES USING CONVEX COMBINATION CENTERS AND SET BARYCENTERS Joural of Mathematcal Scece: Advace ad Alcato Volume 24, 23, Page 29-46 INEQUALITIES USING CONVEX COMBINATION CENTERS AND SET BARYCENTERS ZLATKO PAVIĆ Mechacal Egeerg Faculty Slavok Brod Uverty of Ojek

More information

Lecture Note to Rice Chapter 8

Lecture Note to Rice Chapter 8 ECON 430 HG revsed Nov 06 Lecture Note to Rce Chapter 8 Radom matrces Let Y, =,,, m, =,,, be radom varables (r.v. s). The matrx Y Y Y Y Y Y Y Y Y Y = m m m s called a radom matrx ( wth a ot m-dmesoal dstrbuto,

More information

Entropy, Relative Entropy and Mutual Information

Entropy, Relative Entropy and Mutual Information Etro Relatve Etro ad Mutual Iformato rof. Ja-Lg Wu Deartmet of Comuter Scece ad Iformato Egeerg Natoal Tawa Uverst Defto: The Etro of a dscrete radom varable s defed b : base : 0 0 0 as bts 0 : addg terms

More information

MOLECULAR VIBRATIONS

MOLECULAR VIBRATIONS MOLECULAR VIBRATIONS Here we wsh to vestgate molecular vbratos ad draw a smlarty betwee the theory of molecular vbratos ad Hückel theory. 1. Smple Harmoc Oscllator Recall that the eergy of a oe-dmesoal

More information

The internal structure of natural numbers, one method for the definition of large prime numbers, and a factorization test

The internal structure of natural numbers, one method for the definition of large prime numbers, and a factorization test Fal verso The teral structure of atural umbers oe method for the defto of large prme umbers ad a factorzato test Emmaul Maousos APM Isttute for the Advacemet of Physcs ad Mathematcs 3 Poulou str. 53 Athes

More information

Assignment 7/MATH 247/Winter, 2010 Due: Friday, March 19. Powers of a square matrix

Assignment 7/MATH 247/Winter, 2010 Due: Friday, March 19. Powers of a square matrix Assgmet 7/MATH 47/Wter, 00 Due: Frday, March 9 Powers o a square matrx Gve a square matrx A, ts powers A or large, or eve arbtrary, teger expoets ca be calculated by dagoalzg A -- that s possble (!) Namely,

More information

ONE GENERALIZED INEQUALITY FOR CONVEX FUNCTIONS ON THE TRIANGLE

ONE GENERALIZED INEQUALITY FOR CONVEX FUNCTIONS ON THE TRIANGLE Joural of Pure ad Appled Mathematcs: Advaces ad Applcatos Volume 4 Number 205 Pages 77-87 Avalable at http://scetfcadvaces.co. DOI: http://.do.org/0.8642/jpamaa_7002534 ONE GENERALIZED INEQUALITY FOR CONVEX

More information

MEASURES OF DISPERSION

MEASURES OF DISPERSION MEASURES OF DISPERSION Measure of Cetral Tedecy: Measures of Cetral Tedecy ad Dsperso ) Mathematcal Average: a) Arthmetc mea (A.M.) b) Geometrc mea (G.M.) c) Harmoc mea (H.M.) ) Averages of Posto: a) Meda

More information

Research Article Gauss-Lobatto Formulae and Extremal Problems

Research Article Gauss-Lobatto Formulae and Extremal Problems Hdaw Publshg Corporato Joural of Iequaltes ad Applcatos Volume 2008 Artcle ID 624989 0 pages do:055/2008/624989 Research Artcle Gauss-Lobatto Formulae ad Extremal Problems wth Polyomals Aa Mara Acu ad

More information

Introduction to Matrices and Matrix Approach to Simple Linear Regression

Introduction to Matrices and Matrix Approach to Simple Linear Regression Itroducto to Matrces ad Matrx Approach to Smple Lear Regresso Matrces Defto: A matrx s a rectagular array of umbers or symbolc elemets I may applcatos, the rows of a matrx wll represet dvduals cases (people,

More information

Double Dominating Energy of Some Graphs

Double Dominating Energy of Some Graphs Iter. J. Fuzzy Mathematcal Archve Vol. 4, No., 04, -7 ISSN: 30 34 (P), 30 350 (ole) Publshed o 5 March 04 www.researchmathsc.org Iteratoal Joural of V.Kaladev ad G.Sharmla Dev P.G & Research Departmet

More information

Sufficiency in Blackwell s theorem

Sufficiency in Blackwell s theorem Mathematcal Socal Sceces 46 (23) 21 25 www.elsever.com/locate/ecobase Suffcecy Blacwell s theorem Agesza Belsa-Kwapsz* Departmet of Agrcultural Ecoomcs ad Ecoomcs, Motaa State Uversty, Bozema, MT 59717,

More information

Journal of Mathematical Analysis and Applications

Journal of Mathematical Analysis and Applications J. Math. Aal. Appl. 365 200) 358 362 Cotets lsts avalable at SceceDrect Joural of Mathematcal Aalyss ad Applcatos www.elsever.com/locate/maa Asymptotc behavor of termedate pots the dfferetal mea value

More information

On Submanifolds of an Almost r-paracontact Riemannian Manifold Endowed with a Quarter Symmetric Metric Connection

On Submanifolds of an Almost r-paracontact Riemannian Manifold Endowed with a Quarter Symmetric Metric Connection Theoretcal Mathematcs & Applcatos vol. 4 o. 4 04-7 ISS: 79-9687 prt 79-9709 ole Scepress Ltd 04 O Submafolds of a Almost r-paracotact emaa Mafold Edowed wth a Quarter Symmetrc Metrc Coecto Mob Ahmad Abdullah.

More information

Third handout: On the Gini Index

Third handout: On the Gini Index Thrd hadout: O the dex Corrado, a tala statstca, proposed (, 9, 96) to measure absolute equalt va the mea dfferece whch s defed as ( / ) where refers to the total umber of dvduals socet. Assume that. The

More information

Measures of Entropy based upon Statistical Constants

Measures of Entropy based upon Statistical Constants Proceedgs of the World Cogress o Egeerg 07 Vol I WCE 07, July 5-7, 07, Lodo, UK Measures of Etroy based uo Statstcal Costats GSButtar, Member, IAENG Abstract---The reset artcle deals wth mortat vestgatos

More information

On the Behavior of Positive Solutions of a Difference. equation system:

On the Behavior of Positive Solutions of a Difference. equation system: Aled Mathematcs -8 htt://d.do.org/.6/am..9a Publshed Ole Setember (htt://www.scr.org/joural/am) O the Behavor of Postve Solutos of a Dfferece Equatos Sstem * Decu Zhag Weqag J # Lg Wag Xaobao L Isttute

More information

On the construction of symmetric nonnegative matrix with prescribed Ritz values

On the construction of symmetric nonnegative matrix with prescribed Ritz values Joural of Lear ad Topologcal Algebra Vol. 3, No., 14, 61-66 O the costructo of symmetrc oegatve matrx wth prescrbed Rtz values A. M. Nazar a, E. Afshar b a Departmet of Mathematcs, Arak Uversty, P.O. Box

More information

Pr[X (p + t)n] e D KL(p+t p)n.

Pr[X (p + t)n] e D KL(p+t p)n. Cheroff Bouds Wolfgag Mulzer 1 The Geeral Boud Let P 1,..., m ) ad Q q 1,..., q m ) be two dstrbutos o m elemets,.e.,, q 0, for 1,..., m, ad m 1 m 1 q 1. The Kullback-Lebler dvergece or relatve etroy of

More information

About k-perfect numbers

About k-perfect numbers DOI: 0.47/auom-04-0005 A. Şt. Uv. Ovdus Costaţa Vol.,04, 45 50 About k-perfect umbers Mhály Becze Abstract ABSTRACT. I ths paper we preset some results about k-perfect umbers, ad geeralze two equaltes

More information

Lecture 4 Sep 9, 2015

Lecture 4 Sep 9, 2015 CS 388R: Radomzed Algorthms Fall 205 Prof. Erc Prce Lecture 4 Sep 9, 205 Scrbe: Xagru Huag & Chad Voegele Overvew I prevous lectures, we troduced some basc probablty, the Cheroff boud, the coupo collector

More information

Lecture 12 APPROXIMATION OF FIRST ORDER DERIVATIVES

Lecture 12 APPROXIMATION OF FIRST ORDER DERIVATIVES FDM: Appromato of Frst Order Dervatves Lecture APPROXIMATION OF FIRST ORDER DERIVATIVES. INTRODUCTION Covectve term coservato equatos volve frst order dervatves. The smplest possble approach for dscretzato

More information

Qualifying Exam Statistical Theory Problem Solutions August 2005

Qualifying Exam Statistical Theory Problem Solutions August 2005 Qualfyg Exam Statstcal Theory Problem Solutos August 5. Let X, X,..., X be d uform U(,),

More information

{ }{ ( )} (, ) = ( ) ( ) ( ) Chapter 14 Exercises in Sampling Theory. Exercise 1 (Simple random sampling): Solution:

{ }{ ( )} (, ) = ( ) ( ) ( ) Chapter 14 Exercises in Sampling Theory. Exercise 1 (Simple random sampling): Solution: Chapter 4 Exercses Samplg Theory Exercse (Smple radom samplg: Let there be two correlated radom varables X ad A sample of sze s draw from a populato by smple radom samplg wthout replacemet The observed

More information

ρ < 1 be five real numbers. The

ρ < 1 be five real numbers. The Lecture o BST 63: Statstcal Theory I Ku Zhag, /0/006 Revew for the prevous lecture Deftos: covarace, correlato Examples: How to calculate covarace ad correlato Theorems: propertes of correlato ad covarace

More information

1 Mixed Quantum State. 2 Density Matrix. CS Density Matrices, von Neumann Entropy 3/7/07 Spring 2007 Lecture 13. ψ = α x x. ρ = p i ψ i ψ i.

1 Mixed Quantum State. 2 Density Matrix. CS Density Matrices, von Neumann Entropy 3/7/07 Spring 2007 Lecture 13. ψ = α x x. ρ = p i ψ i ψ i. CS 94- Desty Matrces, vo Neuma Etropy 3/7/07 Sprg 007 Lecture 3 I ths lecture, we wll dscuss the bascs of quatum formato theory I partcular, we wll dscuss mxed quatum states, desty matrces, vo Neuma etropy

More information

THE COMPLETE ENUMERATION OF FINITE GROUPS OF THE FORM R 2 i ={R i R j ) k -i=i

THE COMPLETE ENUMERATION OF FINITE GROUPS OF THE FORM R 2 i ={R i R j ) k -i=i ENUMERATON OF FNTE GROUPS OF THE FORM R ( 2 = (RfR^'u =1. 21 THE COMPLETE ENUMERATON OF FNTE GROUPS OF THE FORM R 2 ={R R j ) k -= H. S. M. COXETER*. ths paper, we vestgate the abstract group defed by

More information

1 Onto functions and bijections Applications to Counting

1 Onto functions and bijections Applications to Counting 1 Oto fuctos ad bectos Applcatos to Coutg Now we move o to a ew topc. Defto 1.1 (Surecto. A fucto f : A B s sad to be surectve or oto f for each b B there s some a A so that f(a B. What are examples of

More information

TESTS BASED ON MAXIMUM LIKELIHOOD

TESTS BASED ON MAXIMUM LIKELIHOOD ESE 5 Toy E. Smth. The Basc Example. TESTS BASED ON MAXIMUM LIKELIHOOD To llustrate the propertes of maxmum lkelhood estmates ad tests, we cosder the smplest possble case of estmatg the mea of the ormal

More information