A Block Cipher Using Linear Congruences

Size: px
Start display at page:

Download "A Block Cipher Using Linear Congruences"

Transcription

1 Joural of Computer Sciece 3 (7): , 2007 ISSN Sciece Publicatios A Block Cipher Usig Liear Cogrueces 1 V.U.K. Sastry ad 2 V. Jaaki 1 Academic Affairs, Sreeidhi Istitute of Sciece & Techology, Ghatkesar, Hyderabad 2 Kakatiya Istitute of Techology & Sciece, Waragal, Idia Abstract: We have developed a block cipher by usig modular arithmetic iverse ad liear cogrueces. The cipher cotais a key matrix called the outer key. It also icludes aother key, which cotais a set of costats ivolved i the liear cogrueces. This key is called as ier key. The cryptaalysis carried out i this paper idicates that the cipher caot be broke by ay cryptaalytic attack. This cipher is exteded to the case of a larger block wherei iterlacig ad iteratio also play a vital role. Keywords: modular arithmetic iverse, ier key, outer key, liear cogrueces. INTRODUCTION I the literature of cryptography Hill cipher [1] has bee a promiet block cipher. Cosiderig oly 26 alphabetic ters a to z, Hill developed a block cipher whose ecryptio ca be described by the equatio C=KP mod 26, (1.1) where K is a key matrix of size x, P is a plaitext vector, ad C is the ciphertext vector both havig compoets. The decryptio of the cipher is carried out by usig the relatio P=K -1 C mod 26 (1.2) where K -1 is the modular arithmetic iverse [2] of the key matrix K. From the cryptaalysis of the cipher it is see that it caot be broke by bruteforce attack whe the size of the matrix is large. However, i the case of the kow plaitext attack, it is clearly established that the cipher ca be broke by takig appropriately colum vectors of plaitext ad ciphertext. I the preset paper our objective is to modify the Hill cipher by itroducig a additioal key. To this ed, we use liear cogrueces, i the colum vector of the plaitext, wherei the cogrueces cotai the umbers correspodig to the plaitext ters. Here, we cosider a plaitext, which icludes ters that ca be represeted by ASCII code. Thus, we use mod 128 istead of mod 26 used i the Hill cipher. From the cryptaalysis developed i this paper, we fid that the cipher caot be broke by ay cryptaalytic attack. I sectio 2 of this paper, we have discussed the developmet of the cipher. I sectio 3, we have described the algorithms for ecryptio, decryptio ad preseted a procedure for the modular arithmetic iverse of a matrix. I sectio 4, we have illustrated the cipher by cosiderig a example. The cryptaalysis for this cipher has bee carried out i sectio 5.I sectio 6, we have exteded the aalysis to a larger block by iterlacig ad iteratio. The, i sectio 7, we have examied the avalache effect. Fially i sectio 8, we have preseted the computatios ad coclusios. DEVELOPMENT OF THE CIPHER Cosider a plaitext vector, which ca be represeted i the form p = (p 1, p 2, p 3, p ) T. (2.1) Let us suppose that we choose a key matrix K give by K=[K ij ], i=1 to, j=1 to, (2.2) where the matrix K is o sigular, ad its determiat is relatively prime to 128. Correspodig Author: V. Jaaki, Kakatiya Istitute of Techology ad Sciece, Waragal, Idia 556

2 The aforemetioed coditios are to be satisfied for the existece of the modular arithmetic iverse of K with respect to mod 128. Let C = (C 1,C 2,C 3.C ) T be the ciphertext vector. (2.3) Let us ow itroduce liear cogrueces give by P = K -1 C mod 128 (2.9) where K -1 is the modular arithmetic iverse of K. O usig (2.9) ad (2.8) we get p i, the compoets of the plaitext as we have idicated i the aforemetioed discussio. The problem of the ecryptio, give by the equatio (2.5) ca be writte i the form P i = (a i p i + b i ) mod 128, i=1 to, (2.4) where a i ad b i are costats, chose appropriately, as metioed below. I the process of ecryptio, the ciphertext C ca be writte as C=KP mod 128, (2.5) where P=(P 1,P 2,P 3 P ) T. C 1 C 2 C 3... C k 11 k 12. k 1 k 21 k 22...k 2 k 31 k 32 k 3 = P 3 mod k 1 k 2 k P 1 P 2.. P (2.10) Here the compoets of the plaitext vector p i ( i =1 to ) are obtaied from the cosecutive ters of the give plaitext. Here i (2.4), we choose each oe of the a i s as a odd iteger, which lies betwee 0 ad 127, ad each oe of the b i s as ay iteger lyig betwee 0 ad 127.The reaso for this choice of the values of a i ad b i, will be clear very soo. Whe a i, b i ad p i are kow to us we ca readily calculate P i by usig (2.4). O the other had, whe the P i is kow to us, p i ca be determied by solvig (2.4). As we have assumed that b i is a iteger which lies betwee 0 ad 127, we ca write (2.4) i the form P i - b i = a i p i mod 128. (2.6) Here firstly we have to obtai P i where P i =(a i p i +b i ) mod 128.For this we require the values of a i, ad b i (i=1 to ).To this ed we itroduce a key comprisig the umbers a 1,a 2. a ad b 1,b 2...b ad call this as the ier key. Subsequetly we have to apply the key matrix K for obtaiig C. Thus we cosider this key as the outer key. Here it is to be oted that i the process of decryptio firstly the outer key is to be applied ad the the ier key is to be used. Thus both the keys are to be supplied by the seder i a secret maer to the receiver. I what follows we desig the algorithms for the ecryptio, the decryptio, ad the modular arithmetic iverse of the key matrix. As a i is a odd iteger, which lies betwee 0 ad 127, it is relatively prime to 128. Thus we obtai d i, the multiplicative iverse if a i, such that a i d i mod 128=1 (2.7) where d i is the multiplicative iverse of a i. From (2.6) ad (2.7), we get p i = (P i - b i ) d i mod 128. (2.8) Now let us cosider the process of decryptio. From the equatio (2.5) we get 557 ALGORITHMS 3.1 Algorithm for ecryptio 1. for i=1 to 2. read p i, a i, b i. 3. P i =( p i a i + b i ) mod read the key matrix K. 5. C=KP mod write C.

3 3.2 Algorithm for decryptio. 1. for i=1 to read a i, b i. 2. read K,C. 3. Fid K P= K -1 C mod for i=1 to Fid d i such that a i d i mod 128=1. 6. p i =( P i - b i ) d i mod write p i 3.3 Algorithm for modular arithmetic iverse // A is a x matrix. N is a positive iteger with which //modular arithmetic iverse is carried out. Here N= Fid the determiat of A. Let it be deoted by, where Fid the iverse of A. The iverse is give by [A ji ]/. 3. for i = 1 to N if ( (i) mod N = 1 ) d = i; // is relatively prime to N. break; 4. B=(d[A ji ] ) mod N // B is the modular arithmetic iverse of A ILLUSTRATION OF THE CIPHER Let us cosider the plaitext Bur the forest as soo as the thieves eter ito it. Let the key matrix K be take i the form K = p = ( ) T. (4.2) Let us choose the ier key i the form (a 1 a 2 a 3 a 4 a 5 a 6 b 1 b 2 b 3 b 4 b 5 b 6 ) = ( ) (4.3) O usig (4.2) ad (4.3), ad the ecryptio algorithm 3.1, we get ( P 1 P 2 P 3 P 4 P 5 P 6 ) = ( ) (4.4) ad C = ( ) T. (4.5) The o usig the algorithm 3.3, the modular arithmetic iverse of the matrix K, deoted by K -1,is obtaied as K -1 = It ca be readily verified that K -1 K mod 128 = K K -1 mod 128 = I. The o usig the algorithm 3.2, we get P= ( ) T (4.7) ad (p 1 p 2 p 3 p 4 p 5 p 6 ) = ( ). (4.8) The values of p 1.p 6 give by (4.2) ad (4.8) are the same. Thus we get back the plaitext. CRYPTANALYSIS (4.6) I the process of ecryptio we have Here =6. (4.1) C=KP mod 128, (5.1) Now let us focus our attetio o the first six ters of the plaitext uder cosideratio. The first six where P i = (a i p i + b i ) mod 128, i=1 to. (5.2) ters are Bur t. Here whe the ciphertext C is kow to us, the Cosiderig the correspodig ASCII codes, the plaitext vector p ca be obtaied as plaitext p ca be foud if the matrix K, ad the a i ad 558

4 the b i are kow to us, i.e if the outer key ad the ier key are kow to us. The key matrix is of size. The a i s are i umber ad the b i s are also i umber. The umber of combiatios of the secret key, icludig the outer key K ad the ier key comprisig a i ad b i, ca be determied as follows. The outer key K cotais 2 umbers wherei each oe ca be represeted i terms of 7 biary. Thus the key space correspodig to this key is give by 2 2. Now let us cosider the key space of the ier key. As the a i s are purely odd umbers, lyig betwee 0 ad 127, they ca be represeted by 7 biary wherei the least sigificat bit all the while remai as 1. As the umber of a i s is, the possible umber of combiatios of the a i s is 2 6. As b i is ay umber that lies betwee 0 ad 127, the possible umber of combiatios of b i s is 2. Thus the total search space for the secret key icludig the outer key K, ad the ier key a 1, a 2. a, b 1,b 2...b ca be obtaied as = For every possible key of the key space, the attacker has to fid the plaitext till he gets a meaigful oe. This process is to be carried out at least with half of the possible keys. If a plaitext correspodig to a secret key, ca be obtaied, by the decryptio process i 10-7 sec., the the time T required for computig with half of the possible keys, is give by T= ceturies, where =10-7 / = Let us ow cosider the kow plaitext attack. I this case we kow as may pairs of plaitext ad ciphertext as we require. For each plaitext vector p we are to fid P s for all possible combiatios of the values of a i ad b i i.e, for each possible ier key. Thus the umber of P s correspodig to each p is (2 6 ) (2 7 ) =2 13 as a i is a odd iteger lyig betwee 0 ad 127, ad b i is ay iteger lyig betwee 0 ad 127. If we take plaitext vectors ad form a matrix with these vectors, the the umber of matrices cotaiig the correspodig Ps is I view of the example give i sectio 4,we have =6.I this case the umber of matrices cotaiig P s are 2 13x36. Now, let us suppose that fidig the modular arithmetic iverse of each matrix takes 10-7 sec., the fidig all possible modular arithmetic iverses will take 2 13x sec ceturies. Thus we coclude that the stregth of the cipher icreases eormously, ad it caot be broke by the kow plaitext attack. A LARGER BLOCK CIPHER USING INTERLACING AND ITERATION I sectio 2, we have developed the cipher for a block of ters. Let us ow exted the aalysis for a block of 2 ters by itroducig the cocepts iterlacig ad iteratio. I this sectio, the procedures used for ecryptio ad decryptio are preseted i Figures 1 ad 2. I the procedure of ecryptio, the block cosistig of 2 ters is divided ito two blocks left half ad right half each cotaiig ters. O these two halves the same procedure, discussed i sectio 2, is applied. The we obtai ters as output o both the sides. The ters o each side are coverted ito biary. 559

5 Plaitext: 2 Roud 1 Plaitext: 2 chars 392 Roud 16 Iterlace Iterlace Roud 2 P Roud 16 P Decompose Decom pose Decompose Decom pose P bit Roud 2 Roud 1 Iterlace Ciphertext:2 ters Decompose Decom pose Ciphertext:2 ters bit Fig.1: Procedure for Ecryptio i the case of larger block cipher cotaiig 2 ters Fig.2: Procedure for Decryptio i the case of larger block cipher cotaiig 2 ters 560

6 The process of iterlacig ca be described as follows. The first bit of left side is placed as the first bit of a array. The first bit of the right side is placed as a secod bit i the array. The the secod bit of the left is placed i the third place of the array. This process is cotiued till we exhaust all the o both the sides. The procedure described above costitutes oe roud. This process is repeated for 16 rouds ad the ultimately we get the ciphertext. The process of decryptio is completely a reverse process of ecryptio. The decompose, used i decryptio, is a fuctio i which the 14 of the 2 ters are separated ito o the left side ad o the right side. By usig the process of ecryptio we are able to ecrypt 2 ters ad obtai the correspodig ciphertext. Further, by performig decryptio we are able to obtai the plaitext of legth 2 ters from the ciphertext. I order to illustrate the above procedure, let us cosider the plaitext Bur the for (6.1) which is cosistig of 12 ters. Followig the ecryptio procedure give i Fig.1, the ciphertext correspodig to the plaitext (6.1), is obtaied i terms of biary as follows (6.2) O applyig the procedure give i Fig.2, the ciphertext (6.2) ca be coverted ito the plaitext give by (6.1). AVALANCHE EFFECT Let us cosider the plaitext give by (6.1). O chagig the first ter B i the plaitext to C, the plaitext assumes the form Cur the for. (6.3) I biary bit represetatio (6.1) ad (6.3) differ oly oe i biary bit as B ad C differ i oe bit. Now o applyig the ecryptio procedure give i Fig.1, o the modified plaitext (6.3), we get the ciphertext i the form (6.4) Here we otice that (6.2) ad (6.4) differ i 30. This idicates that the avalache effect is ot at all less sigificat. Cosider the effect o accout of a chage i the ier key, which plays a promiet role o the cipher. Let us ow we take the ier key as (6.5) istead of (4.3). O usig this key ad the ecryptio procedure give i Fig.1, we get the ciphertext i the form (6.6) O comparig (6.2) ad (6.6) we fid that they differ i 31. This agai shows that the avalache effect is sigificat. COMPUTATIONS AND CONCLUSIONS I this paper we have developed a block cipher by usig liear cogrueces ad modular arithmetic iverse. Firstly the plaitext vector is modified by usig the liear cogrueces. These cogrueces cotai a set of costats, which form a key called the ier key. The modified plaitext is operated by a key matrix called as outer key The ier ad outer keys are used i the process of ecryptio ad i the process of decryptio, ad they form the secret key. This cipher is exteded to the case of larger block (block size is doubled) by itroducig iterlacig ad iteratio. Here all the programs for ecryptio ad decryptio are writte i C laguage. O performig computatios we have obtaied the ciphertext for a give plaitext ad vice-versa. The ciphertext obtaied i the case of the plaitext Bur the forest as soo as the thieves eter ito it. is give by From the cryptaalysis it is clealy see that the cipher caot be broke by ay cryptaalytic attack. The iterlacig ad the iteratio stregthe the cipher remarkably. From the aalysis preseted i this paper we fid that the outer key ad the ier key both play a vital role i stregtheig the cipher. The stregth is further ehaced i the case of the larger block. REFERENCES 1. Cryptography ad Network Security, William Stalligs, 3 rd Editio, Pearso Educatio 2. O the Modular Arithmetic Iverse i the Cryptology of Hill cipher, V.U.K.Sastry, V.Jaaki, Proceedigs of North America Techology ad Busiess Coferece, Caada 561

7. Modern Techniques. Data Encryption Standard (DES)

7. Modern Techniques. Data Encryption Standard (DES) 7. Moder Techiques. Data Ecryptio Stadard (DES) The objective of this chapter is to illustrate the priciples of moder covetioal ecryptio. For this purpose, we focus o the most widely used covetioal ecryptio

More information

End-of-Year Contest. ERHS Math Club. May 5, 2009

End-of-Year Contest. ERHS Math Club. May 5, 2009 Ed-of-Year Cotest ERHS Math Club May 5, 009 Problem 1: There are 9 cois. Oe is fake ad weighs a little less tha the others. Fid the fake coi by weighigs. Solutio: Separate the 9 cois ito 3 groups (A, B,

More information

Inverse Matrix. A meaning that matrix B is an inverse of matrix A.

Inverse Matrix. A meaning that matrix B is an inverse of matrix A. Iverse Matrix Two square matrices A ad B of dimesios are called iverses to oe aother if the followig holds, AB BA I (11) The otio is dual but we ofte write 1 B A meaig that matrix B is a iverse of matrix

More information

Principle Of Superposition

Principle Of Superposition ecture 5: PREIMINRY CONCEP O RUCUR NYI Priciple Of uperpositio Mathematically, the priciple of superpositio is stated as ( a ) G( a ) G( ) G a a or for a liear structural system, the respose at a give

More information

Simon Blackburn. Sean Murphy. Jacques Stern. Laboratoire d'informatique, Ecole Normale Superieure, Abstract

Simon Blackburn. Sean Murphy. Jacques Stern. Laboratoire d'informatique, Ecole Normale Superieure, Abstract The Cryptaalysis of a Public Key Implemetatio of Fiite Group Mappigs Simo Blackbur Sea Murphy Iformatio Security Group, Royal Holloway ad Bedford New College, Uiversity of Lodo, Egham, Surrey TW20 0EX,

More information

Proof of Goldbach s Conjecture. Reza Javaherdashti

Proof of Goldbach s Conjecture. Reza Javaherdashti Proof of Goldbach s Cojecture Reza Javaherdashti farzijavaherdashti@gmail.com Abstract After certai subsets of Natural umbers called Rage ad Row are defied, we assume (1) there is a fuctio that ca produce

More information

SOME TRIBONACCI IDENTITIES

SOME TRIBONACCI IDENTITIES Mathematics Today Vol.7(Dec-011) 1-9 ISSN 0976-38 Abstract: SOME TRIBONACCI IDENTITIES Shah Devbhadra V. Sir P.T.Sarvajaik College of Sciece, Athwalies, Surat 395001. e-mail : drdvshah@yahoo.com The sequece

More information

ORTHOGONAL MATRIX IN CRYPTOGRAPHY

ORTHOGONAL MATRIX IN CRYPTOGRAPHY Orthogoal Matrix i Cryptography ORTHOGONAL MATRIX IN CRYPTOGRAPHY Yeray Cachó Sataa Member of CriptoRed (U.P.M.) ABSTRACT I this work is proposed a method usig orthogoal matrix trasform properties to ecrypt

More information

CHAPTER 10 INFINITE SEQUENCES AND SERIES

CHAPTER 10 INFINITE SEQUENCES AND SERIES CHAPTER 10 INFINITE SEQUENCES AND SERIES 10.1 Sequeces 10.2 Ifiite Series 10.3 The Itegral Tests 10.4 Compariso Tests 10.5 The Ratio ad Root Tests 10.6 Alteratig Series: Absolute ad Coditioal Covergece

More information

Algorithm of Superposition of Boolean Functions Given with Truth Vectors

Algorithm of Superposition of Boolean Functions Given with Truth Vectors IJCSI Iteratioal Joural of Computer Sciece Issues, Vol 9, Issue 4, No, July ISSN (Olie: 694-84 wwwijcsiorg 9 Algorithm of Superpositio of Boolea Fuctios Give with Truth Vectors Aatoly Plotikov, Aleader

More information

Practical Spectral Anaysis (continue) (from Boaz Porat s book) Frequency Measurement

Practical Spectral Anaysis (continue) (from Boaz Porat s book) Frequency Measurement Practical Spectral Aaysis (cotiue) (from Boaz Porat s book) Frequecy Measuremet Oe of the most importat applicatios of the DFT is the measuremet of frequecies of periodic sigals (eg., siusoidal sigals),

More information

The Riemann Zeta Function

The Riemann Zeta Function Physics 6A Witer 6 The Riema Zeta Fuctio I this ote, I will sketch some of the mai properties of the Riema zeta fuctio, ζ(x). For x >, we defie ζ(x) =, x >. () x = For x, this sum diverges. However, we

More information

Proof of Fermat s Last Theorem by Algebra Identities and Linear Algebra

Proof of Fermat s Last Theorem by Algebra Identities and Linear Algebra Proof of Fermat s Last Theorem by Algebra Idetities ad Liear Algebra Javad Babaee Ragai Youg Researchers ad Elite Club, Qaemshahr Brach, Islamic Azad Uiversity, Qaemshahr, Ira Departmet of Civil Egieerig,

More information

Oblivious Transfer using Elliptic Curves

Oblivious Transfer using Elliptic Curves Oblivious Trasfer usig Elliptic Curves bhishek Parakh Louisiaa State Uiversity, ato Rouge, L May 4, 006 bstract: This paper proposes a algorithm for oblivious trasfer usig elliptic curves lso, we preset

More information

SNAP Centre Workshop. Basic Algebraic Manipulation

SNAP Centre Workshop. Basic Algebraic Manipulation SNAP Cetre Workshop Basic Algebraic Maipulatio 8 Simplifyig Algebraic Expressios Whe a expressio is writte i the most compact maer possible, it is cosidered to be simplified. Not Simplified: x(x + 4x)

More information

Infinite Sequences and Series

Infinite Sequences and Series Chapter 6 Ifiite Sequeces ad Series 6.1 Ifiite Sequeces 6.1.1 Elemetary Cocepts Simply speakig, a sequece is a ordered list of umbers writte: {a 1, a 2, a 3,...a, a +1,...} where the elemets a i represet

More information

The "Last Riddle" of Pierre de Fermat, II

The Last Riddle of Pierre de Fermat, II The "Last Riddle" of Pierre de Fermat, II Alexader Mitkovsky mitkovskiy@gmail.com Some time ago, I published a work etitled, "The Last Riddle" of Pierre de Fermat " i which I had writte a proof of the

More information

A Large Block Cipher using an Iterative Method and the Modular Arithmetic Inverse of a key Matrix

A Large Block Cipher using an Iterative Method and the Modular Arithmetic Inverse of a key Matrix A Large Block Cipher using an Iterative Method and the Modular Arithmetic Inverse of a key Matrix S. Udaya Kumar V. U. K. Sastry A. Vinaya babu Abstract In this paper, we have developed a block cipher

More information

PROBLEM SET 5 SOLUTIONS 126 = , 37 = , 15 = , 7 = 7 1.

PROBLEM SET 5 SOLUTIONS 126 = , 37 = , 15 = , 7 = 7 1. Math 7 Sprig 06 PROBLEM SET 5 SOLUTIONS Notatios. Give a real umber x, we will defie sequeces (a k ), (x k ), (p k ), (q k ) as i lecture.. (a) (5 pts) Fid the simple cotiued fractio represetatios of 6

More information

Section 5.1 The Basics of Counting

Section 5.1 The Basics of Counting 1 Sectio 5.1 The Basics of Coutig Combiatorics, the study of arragemets of objects, is a importat part of discrete mathematics. I this chapter, we will lear basic techiques of coutig which has a lot of

More information

Volume 3, Number 2, 2017 Pages Jordan Journal of Electrical Engineering ISSN (Print): , ISSN (Online):

Volume 3, Number 2, 2017 Pages Jordan Journal of Electrical Engineering ISSN (Print): , ISSN (Online): JJEE Volume 3, Number, 07 Pages 50-58 Jorda Joural of Electrical Egieerig ISSN (Prit: 409-9600, ISSN (Olie: 409-969 Liftig Based S-Box for Scalable Bloc Cipher Desig Based o Filter Bas Saleh S. Saraireh

More information

Properties and Tests of Zeros of Polynomial Functions

Properties and Tests of Zeros of Polynomial Functions Properties ad Tests of Zeros of Polyomial Fuctios The Remaider ad Factor Theorems: Sythetic divisio ca be used to fid the values of polyomials i a sometimes easier way tha substitutio. This is show by

More information

Similarity Solutions to Unsteady Pseudoplastic. Flow Near a Moving Wall

Similarity Solutions to Unsteady Pseudoplastic. Flow Near a Moving Wall Iteratioal Mathematical Forum, Vol. 9, 04, o. 3, 465-475 HIKARI Ltd, www.m-hikari.com http://dx.doi.org/0.988/imf.04.48 Similarity Solutios to Usteady Pseudoplastic Flow Near a Movig Wall W. Robi Egieerig

More information

Chapter 4. Fourier Series

Chapter 4. Fourier Series Chapter 4. Fourier Series At this poit we are ready to ow cosider the caoical equatios. Cosider, for eample the heat equatio u t = u, < (4.) subject to u(, ) = si, u(, t) = u(, t) =. (4.) Here,

More information

Recurrence Relations

Recurrence Relations Recurrece Relatios Aalysis of recursive algorithms, such as: it factorial (it ) { if (==0) retur ; else retur ( * factorial(-)); } Let t be the umber of multiplicatios eeded to calculate factorial(). The

More information

Discrete-Time Systems, LTI Systems, and Discrete-Time Convolution

Discrete-Time Systems, LTI Systems, and Discrete-Time Convolution EEL5: Discrete-Time Sigals ad Systems. Itroductio I this set of otes, we begi our mathematical treatmet of discrete-time s. As show i Figure, a discrete-time operates or trasforms some iput sequece x [

More information

COMPARISON OF FPGA IMPLEMENTATION OF THE MOD M REDUCTION

COMPARISON OF FPGA IMPLEMENTATION OF THE MOD M REDUCTION Lati America Applied Research 37:93-97 (2007) COMPARISON OF FPGA IMPLEMENTATION OF THE MOD M REDUCTION J-P. DESCHAMPS ad G. SUTTER Escola Tècica Superior d Egiyeria, Uiversitat Rovira i Virgili, Tarragoa,

More information

CS284A: Representations and Algorithms in Molecular Biology

CS284A: Representations and Algorithms in Molecular Biology CS284A: Represetatios ad Algorithms i Molecular Biology Scribe Notes o Lectures 3 & 4: Motif Discovery via Eumeratio & Motif Represetatio Usig Positio Weight Matrix Joshua Gervi Based o presetatios by

More information

6 Integers Modulo n. integer k can be written as k = qn + r, with q,r, 0 r b. So any integer.

6 Integers Modulo n. integer k can be written as k = qn + r, with q,r, 0 r b. So any integer. 6 Itegers Modulo I Example 2.3(e), we have defied the cogruece of two itegers a,b with respect to a modulus. Let us recall that a b (mod ) meas a b. We have proved that cogruece is a equivalece relatio

More information

Subject: Differential Equations & Mathematical Modeling-III

Subject: Differential Equations & Mathematical Modeling-III Power Series Solutios of Differetial Equatios about Sigular poits Subject: Differetial Equatios & Mathematical Modelig-III Lesso: Power series solutios of differetial equatios about Sigular poits Lesso

More information

Chapter 9 - CD companion 1. A Generic Implementation; The Common-Merge Amplifier. 1 τ is. ω ch. τ io

Chapter 9 - CD companion 1. A Generic Implementation; The Common-Merge Amplifier. 1 τ is. ω ch. τ io Chapter 9 - CD compaio CHAPTER NINE CD-9.2 CD-9.2. Stages With Voltage ad Curret Gai A Geeric Implemetatio; The Commo-Merge Amplifier The advaced method preseted i the text for approximatig cutoff frequecies

More information

SECTION 1.5 : SUMMATION NOTATION + WORK WITH SEQUENCES

SECTION 1.5 : SUMMATION NOTATION + WORK WITH SEQUENCES SECTION 1.5 : SUMMATION NOTATION + WORK WITH SEQUENCES Read Sectio 1.5 (pages 5 9) Overview I Sectio 1.5 we lear to work with summatio otatio ad formulas. We will also itroduce a brief overview of sequeces,

More information

Solution of Differential Equation from the Transform Technique

Solution of Differential Equation from the Transform Technique Iteratioal Joural of Computatioal Sciece ad Mathematics ISSN 0974-3189 Volume 3, Number 1 (2011), pp 121-125 Iteratioal Research Publicatio House http://wwwirphousecom Solutio of Differetial Equatio from

More information

PAijpam.eu ON DERIVATION OF RATIONAL SOLUTIONS OF BABBAGE S FUNCTIONAL EQUATION

PAijpam.eu ON DERIVATION OF RATIONAL SOLUTIONS OF BABBAGE S FUNCTIONAL EQUATION Iteratioal Joural of Pure ad Applied Mathematics Volume 94 No. 204, 9-20 ISSN: 3-8080 (prited versio); ISSN: 34-3395 (o-lie versio) url: http://www.ijpam.eu doi: http://dx.doi.org/0.2732/ijpam.v94i.2 PAijpam.eu

More information

Algebra II Notes Unit Seven: Powers, Roots, and Radicals

Algebra II Notes Unit Seven: Powers, Roots, and Radicals Syllabus Objectives: 7. The studets will use properties of ratioal epoets to simplify ad evaluate epressios. 7.8 The studet will solve equatios cotaiig radicals or ratioal epoets. b a, the b is the radical.

More information

Stochastic Matrices in a Finite Field

Stochastic Matrices in a Finite Field Stochastic Matrices i a Fiite Field Abstract: I this project we will explore the properties of stochastic matrices i both the real ad the fiite fields. We first explore what properties 2 2 stochastic matrices

More information

On Some Properties of Digital Roots

On Some Properties of Digital Roots Advaces i Pure Mathematics, 04, 4, 95-30 Published Olie Jue 04 i SciRes. http://www.scirp.org/joural/apm http://dx.doi.org/0.436/apm.04.46039 O Some Properties of Digital Roots Ilha M. Izmirli Departmet

More information

CALCULATING FIBONACCI VECTORS

CALCULATING FIBONACCI VECTORS THE GENERALIZED BINET FORMULA FOR CALCULATING FIBONACCI VECTORS Stuart D Aderso Departmet of Physics, Ithaca College 953 Daby Road, Ithaca NY 14850, USA email: saderso@ithacaedu ad Dai Novak Departmet

More information

ON SOME DIOPHANTINE EQUATIONS RELATED TO SQUARE TRIANGULAR AND BALANCING NUMBERS

ON SOME DIOPHANTINE EQUATIONS RELATED TO SQUARE TRIANGULAR AND BALANCING NUMBERS Joural of Algebra, Number Theory: Advaces ad Applicatios Volume, Number, 00, Pages 7-89 ON SOME DIOPHANTINE EQUATIONS RELATED TO SQUARE TRIANGULAR AND BALANCING NUMBERS OLCAY KARAATLI ad REFİK KESKİN Departmet

More information

CALCULATION OF FIBONACCI VECTORS

CALCULATION OF FIBONACCI VECTORS CALCULATION OF FIBONACCI VECTORS Stuart D. Aderso Departmet of Physics, Ithaca College 953 Daby Road, Ithaca NY 14850, USA email: saderso@ithaca.edu ad Dai Novak Departmet of Mathematics, Ithaca College

More information

~W I F

~W I F A FIBONACCI PROPERTY OF WYTHOFF PAIRS ROBERT SILBER North Carolia State Uiversity, Raleigh, North Carolia 27607 I this paper we poit out aother of those fasciatig "coicideces" which are so characteristically

More information

6.3 Testing Series With Positive Terms

6.3 Testing Series With Positive Terms 6.3. TESTING SERIES WITH POSITIVE TERMS 307 6.3 Testig Series With Positive Terms 6.3. Review of what is kow up to ow I theory, testig a series a i for covergece amouts to fidig the i= sequece of partial

More information

A NEW CLASS OF 2-STEP RATIONAL MULTISTEP METHODS

A NEW CLASS OF 2-STEP RATIONAL MULTISTEP METHODS Jural Karya Asli Loreka Ahli Matematik Vol. No. (010) page 6-9. Jural Karya Asli Loreka Ahli Matematik A NEW CLASS OF -STEP RATIONAL MULTISTEP METHODS 1 Nazeeruddi Yaacob Teh Yua Yig Norma Alias 1 Departmet

More information

U8L1: Sec Equations of Lines in R 2

U8L1: Sec Equations of Lines in R 2 MCVU U8L: Sec. 8.9. Equatios of Lies i R Review of Equatios of a Straight Lie (-D) Cosider the lie passig through A (-,) with slope, as show i the diagram below. I poit slope form, the equatio of the lie

More information

International Journal of Engineering Science Invention Research & Development; Vol. II Issue VIII February e-issn:

International Journal of Engineering Science Invention Research & Development; Vol. II Issue VIII February e-issn: Iteratioal Joural of Egieerig Sciece Ivetio Research & Developmet; Vol. II Issue VIII February 216 www.ijesird.com eissn: 236 MULTIPLE ENCRYPTIONS OF VARIOUS CIPHERS A. ChadraSekhar*,1, B.Ravi Kumar 2,

More information

4 A Survey of Congruent Results 1

4 A Survey of Congruent Results 1 4 A Survey of Cogruet Results 1 SECTION 4.4 ersee Numbers By the ed of this sectio you will be able to decide which ersee umbers are composite fid factors of ersee umbers How would you fid the largest

More information

Math 609/597: Cryptography 1

Math 609/597: Cryptography 1 Math 609/597: Cryptography 1 The Solovay-Strasse Primality Test 12 October, 1993 Burt Roseberg Revised: 6 October, 2000 1 Itroductio We describe the Solovay-Strasse primality test. There is quite a bit

More information

TEACHER CERTIFICATION STUDY GUIDE

TEACHER CERTIFICATION STUDY GUIDE COMPETENCY 1. ALGEBRA SKILL 1.1 1.1a. ALGEBRAIC STRUCTURES Kow why the real ad complex umbers are each a field, ad that particular rigs are ot fields (e.g., itegers, polyomial rigs, matrix rigs) Algebra

More information

THE ASYMPTOTIC COMPLEXITY OF MATRIX REDUCTION OVER FINITE FIELDS

THE ASYMPTOTIC COMPLEXITY OF MATRIX REDUCTION OVER FINITE FIELDS THE ASYMPTOTIC COMPLEXITY OF MATRIX REDUCTION OVER FINITE FIELDS DEMETRES CHRISTOFIDES Abstract. Cosider a ivertible matrix over some field. The Gauss-Jorda elimiatio reduces this matrix to the idetity

More information

Seed and Sieve of Odd Composite Numbers with Applications in Factorization of Integers

Seed and Sieve of Odd Composite Numbers with Applications in Factorization of Integers IOSR Joural of Mathematics (IOSR-JM) e-issn: 78-578, p-issn: 319-75X. Volume 1, Issue 5 Ver. VIII (Sep. - Oct.01), PP 01-07 www.iosrjourals.org Seed ad Sieve of Odd Composite Numbers with Applicatios i

More information

subject to A 1 x + A 2 y b x j 0, j = 1,,n 1 y j = 0 or 1, j = 1,,n 2

subject to A 1 x + A 2 y b x j 0, j = 1,,n 1 y j = 0 or 1, j = 1,,n 2 Additioal Brach ad Boud Algorithms 0-1 Mixed-Iteger Liear Programmig The brach ad boud algorithm described i the previous sectios ca be used to solve virtually all optimizatio problems cotaiig iteger variables,

More information

Chapter Vectors

Chapter Vectors Chapter 4. Vectors fter readig this chapter you should be able to:. defie a vector. add ad subtract vectors. fid liear combiatios of vectors ad their relatioship to a set of equatios 4. explai what it

More information

DIFFERENTIAL CRYPTANALYSIS FOR A 3-ROUND SPN

DIFFERENTIAL CRYPTANALYSIS FOR A 3-ROUND SPN IRNTIL RYPTNLYSIS OR -ROUN SPN M. Tolga Sakallı rca uluş daç Şahi atma üyüksaraçoğlu e-mail: tolga@trakya.edu.tr. e-mail: ercab@trakya.edu.tr e-mail: adacs@trakya.edu.tr e-mail: fbuyuksaracoglu@trakya.edu.tr

More information

PAijpam.eu ON TENSOR PRODUCT DECOMPOSITION

PAijpam.eu ON TENSOR PRODUCT DECOMPOSITION Iteratioal Joural of Pure ad Applied Mathematics Volume 103 No 3 2015, 537-545 ISSN: 1311-8080 (prited versio); ISSN: 1314-3395 (o-lie versio) url: http://wwwijpameu doi: http://dxdoiorg/1012732/ijpamv103i314

More information

Some Basic Diophantine Equations

Some Basic Diophantine Equations Some Basic iophatie Equatios R.Maikada, epartmet of Mathematics, M.I.E.T. Egieerig College, Tiruchirappalli-7. Email: maimaths78@gmail.com bstract- - I this paper we preset a method for solvig the iophatie

More information

Some Explicit Formulae of NAF and its Left-to-Right. Analogue Based on Booth Encoding

Some Explicit Formulae of NAF and its Left-to-Right. Analogue Based on Booth Encoding Vol.7, No.6 (01, pp.69-74 http://dx.doi.org/10.1457/ijsia.01.7.6.7 Some Explicit Formulae of NAF ad its Left-to-Right Aalogue Based o Booth Ecodig Dog-Guk Ha, Okyeo Yi, ad Tsuyoshi Takagi Kookmi Uiversity,

More information

Decoupling Zeros of Positive Discrete-Time Linear Systems*

Decoupling Zeros of Positive Discrete-Time Linear Systems* Circuits ad Systems,,, 4-48 doi:.436/cs..7 Published Olie October (http://www.scirp.org/oural/cs) Decouplig Zeros of Positive Discrete-Time Liear Systems* bstract Tadeusz Kaczorek Faculty of Electrical

More information

Zeros of Polynomials

Zeros of Polynomials Math 160 www.timetodare.com 4.5 4.6 Zeros of Polyomials I these sectios we will study polyomials algebraically. Most of our work will be cocered with fidig the solutios of polyomial equatios of ay degree

More information

The Local Harmonious Chromatic Problem

The Local Harmonious Chromatic Problem The 7th Workshop o Combiatorial Mathematics ad Computatio Theory The Local Harmoious Chromatic Problem Yue Li Wag 1,, Tsog Wuu Li ad Li Yua Wag 1 Departmet of Iformatio Maagemet, Natioal Taiwa Uiversity

More information

Review of Elementary Cryptography. For more material, see my notes of CSE 5351, available on my webpage

Review of Elementary Cryptography. For more material, see my notes of CSE 5351, available on my webpage Review of Elemetary Cryptography For more material, see my otes of CSE 5351, available o my webpage Outlie Security (CPA, CCA, sematic security, idistiguishability) RSA ElGamal Homomorphic ecryptio 2 Two

More information

The Random Walk For Dummies

The Random Walk For Dummies The Radom Walk For Dummies Richard A Mote Abstract We look at the priciples goverig the oe-dimesioal discrete radom walk First we review five basic cocepts of probability theory The we cosider the Beroulli

More information

Section 1.1. Calculus: Areas And Tangents. Difference Equations to Differential Equations

Section 1.1. Calculus: Areas And Tangents. Difference Equations to Differential Equations Differece Equatios to Differetial Equatios Sectio. Calculus: Areas Ad Tagets The study of calculus begis with questios about chage. What happes to the velocity of a swigig pedulum as its positio chages?

More information

A NEW APPROACH TO SOLVE AN UNBALANCED ASSIGNMENT PROBLEM

A NEW APPROACH TO SOLVE AN UNBALANCED ASSIGNMENT PROBLEM A NEW APPROACH TO SOLVE AN UNBALANCED ASSIGNMENT PROBLEM *Kore B. G. Departmet Of Statistics, Balwat College, VITA - 415 311, Dist.: Sagli (M. S.). Idia *Author for Correspodece ABSTRACT I this paper I

More information

MAT1026 Calculus II Basic Convergence Tests for Series

MAT1026 Calculus II Basic Convergence Tests for Series MAT026 Calculus II Basic Covergece Tests for Series Egi MERMUT 202.03.08 Dokuz Eylül Uiversity Faculty of Sciece Departmet of Mathematics İzmir/TURKEY Cotets Mootoe Covergece Theorem 2 2 Series of Real

More information

Binary codes from graphs on triples and permutation decoding

Binary codes from graphs on triples and permutation decoding Biary codes from graphs o triples ad permutatio decodig J. D. Key Departmet of Mathematical Scieces Clemso Uiversity Clemso SC 29634 U.S.A. J. Moori ad B. G. Rodrigues School of Mathematics Statistics

More information

Linear Regression Demystified

Linear Regression Demystified Liear Regressio Demystified Liear regressio is a importat subject i statistics. I elemetary statistics courses, formulae related to liear regressio are ofte stated without derivatio. This ote iteds to

More information

GUIDELINES ON REPRESENTATIVE SAMPLING

GUIDELINES ON REPRESENTATIVE SAMPLING DRUGS WORKING GROUP VALIDATION OF THE GUIDELINES ON REPRESENTATIVE SAMPLING DOCUMENT TYPE : REF. CODE: ISSUE NO: ISSUE DATE: VALIDATION REPORT DWG-SGL-001 002 08 DECEMBER 2012 Ref code: DWG-SGL-001 Issue

More information

PROPOSING INPUT-DEPENDENT MODE CONTRIBUTION FACTORS FOR SIMPLIFIED SEISMIC RESPONSE ANALYSIS OF BUILDING SYSTEMS

PROPOSING INPUT-DEPENDENT MODE CONTRIBUTION FACTORS FOR SIMPLIFIED SEISMIC RESPONSE ANALYSIS OF BUILDING SYSTEMS he 4 th World Coferece o Earthquake Egieerig October -7, 008, Beiig, Chia PROPOSING INPU-DEPENDEN ODE CONRIBUION FACORS FOR SIPLIFIED SEISIC RESPONSE ANALYSIS OF BUILDING SYSES ahmood Hosseii ad Laya Abbasi

More information

Probability, Expectation Value and Uncertainty

Probability, Expectation Value and Uncertainty Chapter 1 Probability, Expectatio Value ad Ucertaity We have see that the physically observable properties of a quatum system are represeted by Hermitea operators (also referred to as observables ) such

More information

Parallel Vector Algorithms David A. Padua

Parallel Vector Algorithms David A. Padua Parallel Vector Algorithms 1 of 32 Itroductio Next, we study several algorithms where parallelism ca be easily expressed i terms of array operatios. We will use Fortra 90 to represet these algorithms.

More information

Theorem: Let A n n. In this case that A does reduce to I, we search for A 1 as the solution matrix X to the matrix equation A X = I i.e.

Theorem: Let A n n. In this case that A does reduce to I, we search for A 1 as the solution matrix X to the matrix equation A X = I i.e. Theorem: Let A be a square matrix The A has a iverse matrix if ad oly if its reduced row echelo form is the idetity I this case the algorithm illustrated o the previous page will always yield the iverse

More information

NICK DUFRESNE. 1 1 p(x). To determine some formulas for the generating function of the Schröder numbers, r(x) = a(x) =

NICK DUFRESNE. 1 1 p(x). To determine some formulas for the generating function of the Schröder numbers, r(x) = a(x) = AN INTRODUCTION TO SCHRÖDER AND UNKNOWN NUMBERS NICK DUFRESNE Abstract. I this article we will itroduce two types of lattice paths, Schröder paths ad Ukow paths. We will examie differet properties of each,

More information

Fuzzy Shortest Path with α- Cuts

Fuzzy Shortest Path with α- Cuts Iteratioal Joural of Mathematics Treds ad Techology (IJMTT) Volume 58 Issue 3 Jue 2018 Fuzzy Shortest Path with α- Cuts P. Sadhya Assistat Professor, Deptt. Of Mathematics, AIMAN College of Arts ad Sciece

More information

1 6 = 1 6 = + Factorials and Euler s Gamma function

1 6 = 1 6 = + Factorials and Euler s Gamma function Royal Holloway Uiversity of Lodo Departmet of Physics Factorials ad Euler s Gamma fuctio Itroductio The is a self-cotaied part of the course dealig, essetially, with the factorial fuctio ad its geeralizatio

More information

Fortgeschrittene Datenstrukturen Vorlesung 11

Fortgeschrittene Datenstrukturen Vorlesung 11 Fortgeschrittee Datestruture Vorlesug 11 Schriftführer: Marti Weider 19.01.2012 1 Succict Data Structures (ctd.) 1.1 Select-Queries A slightly differet approach, compared to ra, is used for select. B represets

More information

A GENERALIZATION OF THE SYMMETRY BETWEEN COMPLETE AND ELEMENTARY SYMMETRIC FUNCTIONS. Mircea Merca

A GENERALIZATION OF THE SYMMETRY BETWEEN COMPLETE AND ELEMENTARY SYMMETRIC FUNCTIONS. Mircea Merca Idia J Pure Appl Math 45): 75-89 February 204 c Idia Natioal Sciece Academy A GENERALIZATION OF THE SYMMETRY BETWEEN COMPLETE AND ELEMENTARY SYMMETRIC FUNCTIONS Mircea Merca Departmet of Mathematics Uiversity

More information

( ) (( ) ) ANSWERS TO EXERCISES IN APPENDIX B. Section B.1 VECTORS AND SETS. Exercise B.1-1: Convex sets. are convex, , hence. and. (a) Let.

( ) (( ) ) ANSWERS TO EXERCISES IN APPENDIX B. Section B.1 VECTORS AND SETS. Exercise B.1-1: Convex sets. are convex, , hence. and. (a) Let. Joh Riley 8 Jue 03 ANSWERS TO EXERCISES IN APPENDIX B Sectio B VECTORS AND SETS Exercise B-: Covex sets (a) Let 0 x, x X, X, hece 0 x, x X ad 0 x, x X Sice X ad X are covex, x X ad x X The x X X, which

More information

Matrices and vectors

Matrices and vectors Oe Matrices ad vectors This book takes for grated that readers have some previous kowledge of the calculus of real fuctios of oe real variable It would be helpful to also have some kowledge of liear algebra

More information

Complex Analysis Spring 2001 Homework I Solution

Complex Analysis Spring 2001 Homework I Solution Complex Aalysis Sprig 2001 Homework I Solutio 1. Coway, Chapter 1, sectio 3, problem 3. Describe the set of poits satisfyig the equatio z a z + a = 2c, where c > 0 ad a R. To begi, we see from the triagle

More information

Roger Apéry's proof that zeta(3) is irrational

Roger Apéry's proof that zeta(3) is irrational Cliff Bott cliffbott@hotmail.com 11 October 2011 Roger Apéry's proof that zeta(3) is irratioal Roger Apéry developed a method for searchig for cotiued fractio represetatios of umbers that have a form such

More information

Holistic Approach to the Periodic System of Elements

Holistic Approach to the Periodic System of Elements Holistic Approach to the Periodic System of Elemets N.N.Truov * D.I.Medeleyev Istitute for Metrology Russia, St.Peterburg. 190005 Moskovsky pr. 19 (Dated: February 20, 2009) Abstract: For studyig the objectivity

More information

Product measures, Tonelli s and Fubini s theorems For use in MAT3400/4400, autumn 2014 Nadia S. Larsen. Version of 13 October 2014.

Product measures, Tonelli s and Fubini s theorems For use in MAT3400/4400, autumn 2014 Nadia S. Larsen. Version of 13 October 2014. Product measures, Toelli s ad Fubii s theorems For use i MAT3400/4400, autum 2014 Nadia S. Larse Versio of 13 October 2014. 1. Costructio of the product measure The purpose of these otes is to preset the

More information

Polynomials with Rational Roots that Differ by a Non-zero Constant. Generalities

Polynomials with Rational Roots that Differ by a Non-zero Constant. Generalities Polyomials with Ratioal Roots that Differ by a No-zero Costat Philip Gibbs The problem of fidig two polyomials P(x) ad Q(x) of a give degree i a sigle variable x that have all ratioal roots ad differ by

More information

11. FINITE FIELDS. Example 1: The following tables define addition and multiplication for a field of order 4.

11. FINITE FIELDS. Example 1: The following tables define addition and multiplication for a field of order 4. 11. FINITE FIELDS 11.1. A Field With 4 Elemets Probably the oly fiite fields which you ll kow about at this stage are the fields of itegers modulo a prime p, deoted by Z p. But there are others. Now although

More information

Using An Accelerating Method With The Trapezoidal And Mid-Point Rules To Evaluate The Double Integrals With Continuous Integrands Numerically

Using An Accelerating Method With The Trapezoidal And Mid-Point Rules To Evaluate The Double Integrals With Continuous Integrands Numerically ISSN -50 (Paper) ISSN 5-05 (Olie) Vol.7, No., 017 Usig A Acceleratig Method With The Trapezoidal Ad Mid-Poit Rules To Evaluate The Double Itegrals With Cotiuous Itegrads Numerically Azal Taha Abdul Wahab

More information

Problem Set 2 Solutions

Problem Set 2 Solutions CS271 Radomess & Computatio, Sprig 2018 Problem Set 2 Solutios Poit totals are i the margi; the maximum total umber of poits was 52. 1. Probabilistic method for domiatig sets 6pts Pick a radom subset S

More information

Section 4.3. Boolean functions

Section 4.3. Boolean functions Sectio 4.3. Boolea fuctios Let us take aother look at the simplest o-trivial Boolea algebra, ({0}), the power-set algebra based o a oe-elemet set, chose here as {0}. This has two elemets, the empty set,

More information

New Version of the Rayleigh Schrödinger Perturbation Theory: Examples

New Version of the Rayleigh Schrödinger Perturbation Theory: Examples New Versio of the Rayleigh Schrödiger Perturbatio Theory: Examples MILOŠ KALHOUS, 1 L. SKÁLA, 1 J. ZAMASTIL, 1 J. ČÍŽEK 2 1 Charles Uiversity, Faculty of Mathematics Physics, Ke Karlovu 3, 12116 Prague

More information

Resistance matrix and q-laplacian of a unicyclic graph

Resistance matrix and q-laplacian of a unicyclic graph Resistace matrix ad q-laplacia of a uicyclic graph R. B. Bapat Idia Statistical Istitute New Delhi, 110016, Idia e-mail: rbb@isid.ac.i Abstract: The resistace distace betwee two vertices of a graph ca

More information

4.3 Growth Rates of Solutions to Recurrences

4.3 Growth Rates of Solutions to Recurrences 4.3. GROWTH RATES OF SOLUTIONS TO RECURRENCES 81 4.3 Growth Rates of Solutios to Recurreces 4.3.1 Divide ad Coquer Algorithms Oe of the most basic ad powerful algorithmic techiques is divide ad coquer.

More information

DETERMINATION OF MECHANICAL PROPERTIES OF A NON- UNIFORM BEAM USING THE MEASUREMENT OF THE EXCITED LONGITUDINAL ELASTIC VIBRATIONS.

DETERMINATION OF MECHANICAL PROPERTIES OF A NON- UNIFORM BEAM USING THE MEASUREMENT OF THE EXCITED LONGITUDINAL ELASTIC VIBRATIONS. ICSV4 Cairs Australia 9- July 7 DTRMINATION OF MCHANICAL PROPRTIS OF A NON- UNIFORM BAM USING TH MASURMNT OF TH XCITD LONGITUDINAL LASTIC VIBRATIONS Pavel Aokhi ad Vladimir Gordo Departmet of the mathematics

More information

MAXIMALLY FLAT FIR FILTERS

MAXIMALLY FLAT FIR FILTERS MAXIMALLY FLAT FIR FILTERS This sectio describes a family of maximally flat symmetric FIR filters first itroduced by Herrma [2]. The desig of these filters is particularly simple due to the availability

More information

Lecture 3 The Lebesgue Integral

Lecture 3 The Lebesgue Integral Lecture 3: The Lebesgue Itegral 1 of 14 Course: Theory of Probability I Term: Fall 2013 Istructor: Gorda Zitkovic Lecture 3 The Lebesgue Itegral The costructio of the itegral Uless expressly specified

More information

Sigma notation. 2.1 Introduction

Sigma notation. 2.1 Introduction Sigma otatio. Itroductio We use sigma otatio to idicate the summatio process whe we have several (or ifiitely may) terms to add up. You may have see sigma otatio i earlier courses. It is used to idicate

More information

Mathematical Modeling of Optimum 3 Step Stress Accelerated Life Testing for Generalized Pareto Distribution

Mathematical Modeling of Optimum 3 Step Stress Accelerated Life Testing for Generalized Pareto Distribution America Joural of Theoretical ad Applied Statistics 05; 4(: 6-69 Published olie May 8, 05 (http://www.sciecepublishiggroup.com/j/ajtas doi: 0.648/j.ajtas.05040. ISSN: 6-8999 (Prit; ISSN: 6-9006 (Olie Mathematical

More information

C. Complex Numbers. x 6x + 2 = 0. This equation was known to have three real roots, given by simple combinations of the expressions

C. Complex Numbers. x 6x + 2 = 0. This equation was known to have three real roots, given by simple combinations of the expressions C. Complex Numbers. Complex arithmetic. Most people thik that complex umbers arose from attempts to solve quadratic equatios, but actually it was i coectio with cubic equatios they first appeared. Everyoe

More information

Correlation Regression

Correlation Regression Correlatio Regressio While correlatio methods measure the stregth of a liear relatioship betwee two variables, we might wish to go a little further: How much does oe variable chage for a give chage i aother

More information

Bertrand s Postulate

Bertrand s Postulate Bertrad s Postulate Lola Thompso Ross Program July 3, 2009 Lola Thompso (Ross Program Bertrad s Postulate July 3, 2009 1 / 33 Bertrad s Postulate I ve said it oce ad I ll say it agai: There s always a

More information

The picture in figure 1.1 helps us to see that the area represents the distance traveled. Figure 1: Area represents distance travelled

The picture in figure 1.1 helps us to see that the area represents the distance traveled. Figure 1: Area represents distance travelled 1 Lecture : Area Area ad distace traveled Approximatig area by rectagles Summatio The area uder a parabola 1.1 Area ad distace Suppose we have the followig iformatio about the velocity of a particle, how

More information

Some examples of vector spaces

Some examples of vector spaces Roberto s Notes o Liear Algebra Chapter 11: Vector spaces Sectio 2 Some examples of vector spaces What you eed to kow already: The te axioms eeded to idetify a vector space. What you ca lear here: Some

More information