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2 It should be noted that the symbol of the operator AH , ( ) = CH 1+2H is homogenous in and does not depend on x, which respectively corresponds to the self-similarity property and increment stationarity of the process Consequently, it is natural to consider Gaussian processes which are associated with the symbols (x, ) which also depend on the position The property of stationarity of the increments is lost However, if we impose that (x, ) is elliptic of order H, ie, controlled by 1+2H when + , in the precise sense that there exists C > 0 such that, for all x, d :

In making the kind of organizational changes necessary to implement a customer-based approach, we follow the underlying framework established in One (see Figure 81) As we noted previously, it is useful to think of the change process as representing a house, starting with the foundation and moving upward toward the roof Customer-based project management is founded on a renewed commitment to quality procedures and techniques for developing projects (our foundation) Our goal, prior to attempting the sort of organizational change we are contemplating, is to ensure that all the necessary elements are in place Without these components, it would be pointless and expensive to initiate a program of change We argue for the need to combine quality processes (internal efficiencies of operations) with a systematic supply change development (ensuring that our external channels are in place) Project management, as we conceive it, can only be performed to its maximum potential once both internal processes and external channels are refined The earlier chapters in this book have pointed

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(x, )

(632)

we then obtain processes called elliptic Gaussian random processes (EGRP), which locally preserve many properties of the FBM In this chapter, we will de ne the elliptic Gaussian random processes in a less general manner than in [BEN 97b] DEFINITION 66 Let AX be the pseudo-differential operator de ned by: f D0 , AX (f ) = eit (t, )f ( ) d (2 )1/2 (633)

each node will have to store more keys In addition, compromise of a node also results in leakage of more keys, thereby resulting in a more vulnerable scheme

of the symbol (t, ) verifying for 0 < H < 1, the following hypothesis: HYPOTHESIS 63 (H) There exists R > 0: for every t and for i = 0 to 3: i (t, ) i > such that: | (s, ) (t, )| it is elliptic of order H (see (632)) We will then call elliptic Gaussian random processes of order H the Gaussian processes of reproducing kernel Hilbert space given by adherence of D0 for the norm ( AX f, f L2 ( ) )1/2 and provided with the Hermitian product: f, g

L2 ( )

Let us make some comments to clarify De nition 66 First, we restrict ourselves to one dimension mainly for the same reasons of simplicity as for the ltered white noises In addition, let us note that if does not depend on t, then AX still veri es:

to some of the necessary steps in quality and value chain management Once this groundwork has been laid, we are able to begin developing a heavyweight project organization capable of exploiting this competitive advantage Project management improvement is not, however, the end of this process Rather, project management practices, coupled with value and supply chain creation, gives us the ability to put the roof on the house in this model Customer relationship management can best be done when customers comprehend the commitment our organization has made to process improvement In essence, the first and hardest challenge is often convincing our own firms to join us on the change to customer-based project management Once we have done so and have demonstrated our commitment to these changes and attitudes, customer relationship management is not nearly as onerous a process Initiating the type of systematic changes we are talking about is bound to have a meritorious effect on customer relationships

(634)

.

for the isometry: JX ( )(y) =

d e iy 1 ( ) ( ) (2 )1/2 ( )

L2 ( )

This is the same, in fact, as saying that we have a harmonizable representation of X: X(t) = e it 1 W (d ) ( )

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